id	sid	tid	token	lemma	pos
flr-13	1	1	frontline	frontline	NOUN
flr-13	1	2	learning	learn	VERB
flr-13	1	3	research	research	NOUN
flr-13	1	4	1	1	NUM
flr-13	1	5	(	(	PUNCT
flr-13	1	6	2013	2013	NUM
flr-13	1	7	)	)	PUNCT
flr-13	1	8	42	42	NUM
flr-13	1	9	71	71	NUM
flr-13	1	10	issn	issn	PROPN
flr-13	1	11	2295	2295	NUM
flr-13	1	12	-	-	SYM
flr-13	1	13	3159	3159	NUM
flr-13	1	14	corresponding	corresponding	ADJ
flr-13	1	15	author	author	NOUN
flr-13	1	16	:	:	PUNCT
flr-13	1	17	mariel	mariel	PROPN
flr-13	1	18	f.	f.	PROPN
flr-13	1	19	musso	musso	PROPN
flr-13	1	20	,	,	PUNCT
flr-13	1	21	katholieke	katholieke	PROPN
flr-13	1	22	universiteit	universiteit	PROPN
flr-13	1	23	leuven	leuven	PROPN
flr-13	1	24	/	/	SYM
flr-13	1	25	universidad	universidad	PROPN
flr-13	1	26	argentina	argentina	PROPN
flr-13	1	27	de	de	PROPN
flr-13	1	28	la	la	PROPN
flr-13	1	29	empresa	empresa	PROPN
flr-13	1	30	,	,	PUNCT
flr-13	1	31	mariel.musso@hotmail.com	mariel.musso@hotmail.com	X
flr-13	1	32	http://dx.doi.org/10.14786/flr.v1i1.13	http://dx.doi.org/10.14786/flr.v1i1.13	PROPN
flr-13	1	33	42	42	NUM
flr-13	2	1	|	|	ADV
flr-13	2	2	f	f	NOUN
flr-13	2	3	l	l	NOUN
flr-13	2	4	r	r	NOUN
flr-13	2	5	predicting	predict	VERB
flr-13	2	6	general	general	ADJ
flr-13	2	7	academic	academic	ADJ
flr-13	2	8	performance	performance	NOUN
flr-13	2	9	and	and	CCONJ
flr-13	2	10	identifying	identify	VERB
flr-13	2	11	the	the	DET
flr-13	2	12	differential	differential	ADJ
flr-13	2	13	contribution	contribution	NOUN
flr-13	2	14	of	of	ADP
flr-13	2	15	participating	participate	VERB
flr-13	2	16	variables	variable	NOUN
flr-13	2	17	using	use	VERB
flr-13	2	18	artificial	artificial	ADJ
flr-13	2	19	neural	neural	ADJ
flr-13	2	20	networks	network	NOUN
flr-13	2	21	mariel	mariel	PROPN
flr-13	2	22	f.	f.	PROPN
flr-13	2	23	musso	musso	PROPN
flr-13	2	24	ab	ab	PROPN
flr-13	2	25	,	,	PUNCT
flr-13	2	26	eva	eva	PROPN
flr-13	2	27	kyndt	kyndt	PROPN
flr-13	2	28	ac	ac	PROPN
flr-13	2	29	,	,	PUNCT
flr-13	2	30	eduardo	eduardo	PROPN
flr-13	2	31	c.	c.	PROPN
flr-13	2	32	cascallar	cascallar	PROPN
flr-13	2	33	ad	ad	NOUN
flr-13	2	34	,	,	PUNCT
flr-13	2	35	filip	filip	NOUN
flr-13	2	36	dochy	dochy	NOUN
flr-13	2	37	a	a	DET
flr-13	2	38	a	a	DET
flr-13	2	39	katholieke	katholieke	PROPN
flr-13	2	40	universiteit	universiteit	PROPN
flr-13	2	41	leuven	leuven	PROPN
flr-13	2	42	,	,	PUNCT
flr-13	2	43	belgium	belgium	PROPN
flr-13	2	44	b	b	PROPN
flr-13	2	45	universidad	universidad	PROPN
flr-13	2	46	argentina	argentina	PROPN
flr-13	2	47	de	de	PROPN
flr-13	2	48	la	la	PROPN
flr-13	2	49	empresa	empresa	PROPN
flr-13	2	50	,	,	PUNCT
flr-13	2	51	argentina	argentina	PROPN
flr-13	2	52	c	c	PROPN
flr-13	2	53	university	university	PROPN
flr-13	2	54	of	of	ADP
flr-13	2	55	antwerp	antwerp	PROPN
flr-13	2	56	,	,	PUNCT
flr-13	2	57	belgium	belgium	PROPN
flr-13	2	58	d	d	PROPN
flr-13	2	59	assessment	assessment	NOUN
flr-13	2	60	group	group	PROPN
flr-13	2	61	international	international	PROPN
flr-13	2	62	,	,	PUNCT
flr-13	2	63	usa	usa	PROPN
flr-13	2	64	/	/	SYM
flr-13	2	65	belgium	belgium	NOUN
flr-13	2	66	article	article	NOUN
flr-13	2	67	received	receive	VERB
flr-13	2	68	8	8	NUM
flr-13	2	69	march	march	NOUN
flr-13	2	70	2013	2013	NUM
flr-13	2	71	/	/	SYM
flr-13	2	72	revised	revise	VERB
flr-13	2	73	2	2	NUM
flr-13	2	74	july	july	PROPN
flr-13	2	75	2013	2013	NUM
flr-13	2	76	/	/	PUNCT
flr-13	2	77	accepted	accept	VERB
flr-13	2	78	16	16	NUM
flr-13	2	79	july	july	PROPN
flr-13	2	80	2013	2013	NUM
flr-13	2	81	/	/	SYM
flr-13	2	82	available	available	ADJ
flr-13	2	83	online	online	ADJ
flr-13	2	84	27	27	NUM
flr-13	2	85	august	august	PROPN
flr-13	2	86	2013	2013	NUM
flr-13	2	87	abstract	abstract	ADJ
flr-13	2	88	many	many	ADJ
flr-13	2	89	studies	study	NOUN
flr-13	2	90	have	have	AUX
flr-13	2	91	explored	explore	VERB
flr-13	2	92	the	the	DET
flr-13	2	93	contribution	contribution	NOUN
flr-13	2	94	of	of	ADP
flr-13	2	95	different	different	ADJ
flr-13	2	96	factors	factor	NOUN
flr-13	2	97	from	from	ADP
flr-13	2	98	diverse	diverse	ADJ
flr-13	2	99	theoretical	theoretical	ADJ
flr-13	2	100	perspectives	perspective	NOUN
flr-13	2	101	to	to	ADP
flr-13	2	102	the	the	DET
flr-13	2	103	explanation	explanation	NOUN
flr-13	2	104	of	of	ADP
flr-13	2	105	academic	academic	ADJ
flr-13	2	106	performance	performance	NOUN
flr-13	2	107	.	.	PUNCT
flr-13	3	1	these	these	DET
flr-13	3	2	factors	factor	NOUN
flr-13	3	3	have	have	AUX
flr-13	3	4	been	be	AUX
flr-13	3	5	identified	identify	VERB
flr-13	3	6	as	as	ADP
flr-13	3	7	having	have	VERB
flr-13	3	8	important	important	ADJ
flr-13	3	9	implications	implication	NOUN
flr-13	3	10	not	not	PART
flr-13	3	11	only	only	ADV
flr-13	3	12	for	for	ADP
flr-13	3	13	the	the	DET
flr-13	3	14	study	study	NOUN
flr-13	3	15	of	of	ADP
flr-13	3	16	learning	learn	VERB
flr-13	3	17	processes	process	NOUN
flr-13	3	18	,	,	PUNCT
flr-13	3	19	but	but	CCONJ
flr-13	3	20	also	also	ADV
flr-13	3	21	as	as	ADP
flr-13	3	22	tools	tool	NOUN
flr-13	3	23	for	for	ADP
flr-13	3	24	improving	improve	VERB
flr-13	3	25	curriculum	curriculum	NOUN
flr-13	3	26	designs	design	NOUN
flr-13	3	27	,	,	PUNCT
flr-13	3	28	tutorial	tutorial	NOUN
flr-13	3	29	systems	system	NOUN
flr-13	3	30	,	,	PUNCT
flr-13	3	31	and	and	CCONJ
flr-13	3	32	students	student	NOUN
flr-13	3	33	’	’	PART
flr-13	3	34	outcomes	outcome	NOUN
flr-13	3	35	.	.	PUNCT
flr-13	4	1	some	some	DET
flr-13	4	2	authors	author	NOUN
flr-13	4	3	have	have	AUX
flr-13	4	4	suggested	suggest	VERB
flr-13	4	5	that	that	SCONJ
flr-13	4	6	traditional	traditional	ADJ
flr-13	4	7	statistical	statistical	ADJ
flr-13	4	8	methods	method	NOUN
flr-13	4	9	do	do	AUX
flr-13	4	10	not	not	PART
flr-13	4	11	always	always	ADV
flr-13	4	12	yield	yield	VERB
flr-13	4	13	accurate	accurate	ADJ
flr-13	4	14	predictions	prediction	NOUN
flr-13	4	15	and/or	and/or	CCONJ
flr-13	4	16	classifications	classification	NOUN
flr-13	4	17	(	(	PUNCT
flr-13	4	18	everson	everson	NOUN
flr-13	4	19	,	,	PUNCT
flr-13	4	20	1995	1995	NUM
flr-13	4	21	;	;	PUNCT
flr-13	4	22	garson	garson	PROPN
flr-13	4	23	,	,	PUNCT
flr-13	4	24	1998	1998	NUM
flr-13	4	25	)	)	PUNCT
flr-13	4	26	.	.	PUNCT
flr-13	5	1	this	this	DET
flr-13	5	2	paper	paper	NOUN
flr-13	5	3	explores	explore	VERB
flr-13	5	4	a	a	DET
flr-13	5	5	relatively	relatively	ADV
flr-13	5	6	new	new	ADJ
flr-13	5	7	methodological	methodological	ADJ
flr-13	5	8	approach	approach	NOUN
flr-13	5	9	for	for	ADP
flr-13	5	10	the	the	DET
flr-13	5	11	field	field	NOUN
flr-13	5	12	of	of	ADP
flr-13	5	13	learning	learning	NOUN
flr-13	5	14	and	and	CCONJ
flr-13	5	15	education	education	NOUN
flr-13	5	16	,	,	PUNCT
flr-13	5	17	but	but	CCONJ
flr-13	5	18	which	which	PRON
flr-13	5	19	is	be	AUX
flr-13	5	20	widely	widely	ADV
flr-13	5	21	used	use	VERB
flr-13	5	22	in	in	ADP
flr-13	5	23	other	other	ADJ
flr-13	5	24	areas	area	NOUN
flr-13	5	25	,	,	PUNCT
flr-13	5	26	such	such	ADJ
flr-13	5	27	as	as	ADP
flr-13	5	28	computational	computational	ADJ
flr-13	5	29	sciences	science	NOUN
flr-13	5	30	,	,	PUNCT
flr-13	5	31	engineering	engineering	NOUN
flr-13	5	32	and	and	CCONJ
flr-13	5	33	economics	economic	NOUN
flr-13	5	34	.	.	PUNCT
flr-13	6	1	this	this	DET
flr-13	6	2	study	study	NOUN
flr-13	6	3	uses	use	VERB
flr-13	6	4	cognitive	cognitive	ADJ
flr-13	6	5	and	and	CCONJ
flr-13	6	6	non	non	ADJ
flr-13	6	7	-	-	ADJ
flr-13	6	8	cognitive	cognitive	ADJ
flr-13	6	9	measures	measure	NOUN
flr-13	6	10	of	of	ADP
flr-13	6	11	students	student	NOUN
flr-13	6	12	,	,	PUNCT
flr-13	6	13	together	together	ADV
flr-13	6	14	with	with	ADP
flr-13	6	15	background	background	NOUN
flr-13	6	16	information	information	NOUN
flr-13	6	17	,	,	PUNCT
flr-13	6	18	in	in	ADP
flr-13	6	19	order	order	NOUN
flr-13	6	20	to	to	PART
flr-13	6	21	design	design	VERB
flr-13	6	22	predictive	predictive	ADJ
flr-13	6	23	models	model	NOUN
flr-13	6	24	of	of	ADP
flr-13	6	25	student	student	NOUN
flr-13	6	26	performance	performance	NOUN
flr-13	6	27	using	use	VERB
flr-13	6	28	artificial	artificial	ADJ
flr-13	6	29	neural	neural	ADJ
flr-13	6	30	networks	network	NOUN
flr-13	6	31	(	(	PUNCT
flr-13	6	32	ann	ann	PROPN
flr-13	6	33	)	)	PUNCT
flr-13	6	34	.	.	PUNCT
flr-13	7	1	these	these	DET
flr-13	7	2	predictions	prediction	NOUN
flr-13	7	3	of	of	ADP
flr-13	7	4	performance	performance	NOUN
flr-13	7	5	constitute	constitute	VERB
flr-13	7	6	a	a	DET
flr-13	7	7	true	true	ADJ
flr-13	7	8	predictive	predictive	ADJ
flr-13	7	9	classification	classification	NOUN
flr-13	7	10	of	of	ADP
flr-13	7	11	academic	academic	ADJ
flr-13	7	12	performance	performance	NOUN
flr-13	7	13	over	over	ADP
flr-13	7	14	time	time	NOUN
flr-13	7	15	,	,	PUNCT
flr-13	7	16	a	a	DET
flr-13	7	17	year	year	NOUN
flr-13	7	18	in	in	ADP
flr-13	7	19	advance	advance	NOUN
flr-13	7	20	of	of	ADP
flr-13	7	21	the	the	DET
flr-13	7	22	actual	actual	ADJ
flr-13	7	23	observed	observed	ADJ
flr-13	7	24	measure	measure	NOUN
flr-13	7	25	of	of	ADP
flr-13	7	26	academic	academic	ADJ
flr-13	7	27	performance	performance	NOUN
flr-13	7	28	.	.	PUNCT
flr-13	8	1	a	a	DET
flr-13	8	2	total	total	ADJ
flr-13	8	3	sample	sample	NOUN
flr-13	8	4	of	of	ADP
flr-13	8	5	864	864	NUM
flr-13	8	6	university	university	NOUN
flr-13	8	7	students	student	NOUN
flr-13	8	8	of	of	ADP
flr-13	8	9	both	both	DET
flr-13	8	10	genders	gender	NOUN
flr-13	8	11	,	,	PUNCT
flr-13	8	12	ages	age	NOUN
flr-13	8	13	ranging	range	VERB
flr-13	8	14	between	between	ADP
flr-13	8	15	18	18	NUM
flr-13	8	16	and	and	CCONJ
flr-13	8	17	25	25	NUM
flr-13	8	18	was	be	AUX
flr-13	8	19	used	use	VERB
flr-13	8	20	.	.	PUNCT
flr-13	9	1	three	three	NUM
flr-13	9	2	neural	neural	ADJ
flr-13	9	3	network	network	NOUN
flr-13	9	4	models	model	NOUN
flr-13	9	5	were	be	AUX
flr-13	9	6	developed	develop	VERB
flr-13	9	7	.	.	PUNCT
flr-13	10	1	two	two	NUM
flr-13	10	2	of	of	ADP
flr-13	10	3	the	the	DET
flr-13	10	4	models	model	NOUN
flr-13	10	5	(	(	PUNCT
flr-13	10	6	identifying	identify	VERB
flr-13	10	7	the	the	DET
flr-13	10	8	top	top	ADJ
flr-13	10	9	33	33	NUM
flr-13	10	10	%	%	NOUN
flr-13	10	11	and	and	CCONJ
flr-13	10	12	the	the	DET
flr-13	10	13	lowest	low	ADJ
flr-13	10	14	33	33	NUM
flr-13	10	15	%	%	NOUN
flr-13	10	16	groups	group	NOUN
flr-13	10	17	,	,	PUNCT
flr-13	10	18	respectively	respectively	ADV
flr-13	10	19	)	)	PUNCT
flr-13	10	20	were	be	AUX
flr-13	10	21	able	able	ADJ
flr-13	10	22	to	to	PART
flr-13	10	23	reach	reach	VERB
flr-13	10	24	100	100	NUM
flr-13	10	25	%	%	NOUN
flr-13	10	26	correct	correct	ADJ
flr-13	10	27	identification	identification	NOUN
flr-13	10	28	of	of	ADP
flr-13	10	29	all	all	DET
flr-13	10	30	students	student	NOUN
flr-13	10	31	in	in	ADP
flr-13	10	32	each	each	PRON
flr-13	10	33	of	of	ADP
flr-13	10	34	the	the	DET
flr-13	10	35	two	two	NUM
flr-13	10	36	groups	group	NOUN
flr-13	10	37	.	.	PUNCT
flr-13	11	1	the	the	DET
flr-13	11	2	third	third	ADJ
flr-13	11	3	model	model	NOUN
flr-13	11	4	(	(	PUNCT
flr-13	11	5	identifying	identify	VERB
flr-13	11	6	low	low	ADJ
flr-13	11	7	,	,	PUNCT
flr-13	11	8	mid	mid	ADJ
flr-13	11	9	and	and	CCONJ
flr-13	11	10	high	high	ADJ
flr-13	11	11	performance	performance	NOUN
flr-13	11	12	levels	level	NOUN
flr-13	11	13	)	)	PUNCT
flr-13	11	14	reached	reach	VERB
flr-13	11	15	precisions	precision	NOUN
flr-13	11	16	from	from	ADP
flr-13	11	17	87	87	NUM
flr-13	11	18	%	%	NOUN
flr-13	11	19	to	to	PART
flr-13	11	20	100	100	NUM
flr-13	11	21	%	%	NOUN
flr-13	11	22	for	for	ADP
flr-13	11	23	the	the	DET
flr-13	11	24	three	three	NUM
flr-13	11	25	groups	group	NOUN
flr-13	11	26	.	.	PUNCT
flr-13	12	1	analyses	analysis	NOUN
flr-13	12	2	also	also	ADV
flr-13	12	3	explored	explore	VERB
flr-13	12	4	the	the	DET
flr-13	12	5	predicted	predict	VERB
flr-13	12	6	outcomes	outcome	NOUN
flr-13	12	7	at	at	ADP
flr-13	12	8	an	an	DET
flr-13	12	9	individual	individual	ADJ
flr-13	12	10	level	level	NOUN
flr-13	12	11	,	,	PUNCT
flr-13	12	12	and	and	CCONJ
flr-13	12	13	their	their	PRON
flr-13	12	14	correlations	correlation	NOUN
flr-13	12	15	with	with	ADP
flr-13	12	16	the	the	DET
flr-13	12	17	observed	observe	VERB
flr-13	12	18	results	result	NOUN
flr-13	12	19	,	,	PUNCT
flr-13	12	20	as	as	ADP
flr-13	12	21	a	a	DET
flr-13	12	22	continuous	continuous	ADJ
flr-13	12	23	variable	variable	NOUN
flr-13	12	24	for	for	ADP
flr-13	12	25	the	the	DET
flr-13	12	26	whole	whole	ADJ
flr-13	12	27	group	group	NOUN
flr-13	12	28	of	of	ADP
flr-13	12	29	students	student	NOUN
flr-13	12	30	.	.	PUNCT
flr-13	13	1	results	result	NOUN
flr-13	13	2	demonstrate	demonstrate	VERB
flr-13	13	3	the	the	DET
flr-13	13	4	greater	great	ADJ
flr-13	13	5	accuracy	accuracy	NOUN
flr-13	13	6	of	of	ADP
flr-13	13	7	the	the	DET
flr-13	13	8	ann	ann	PROPN
flr-13	13	9	compared	compare	VERB
flr-13	13	10	to	to	ADP
flr-13	13	11	traditional	traditional	ADJ
flr-13	13	12	methods	method	NOUN
flr-13	13	13	such	such	ADJ
flr-13	13	14	as	as	ADP
flr-13	13	15	discriminant	discriminant	ADJ
flr-13	13	16	analyses	analysis	NOUN
flr-13	13	17	.	.	PUNCT
flr-13	14	1	in	in	ADP
flr-13	14	2	addition	addition	NOUN
flr-13	14	3	,	,	PUNCT
flr-13	14	4	the	the	DET
flr-13	14	5	ann	ann	PROPN
flr-13	14	6	provided	provide	VERB
flr-13	14	7	information	information	NOUN
flr-13	14	8	on	on	ADP
flr-13	14	9	those	those	DET
flr-13	14	10	predictors	predictor	NOUN
flr-13	14	11	that	that	PRON
flr-13	14	12	best	well	ADV
flr-13	14	13	explained	explain	VERB
flr-13	14	14	the	the	DET
flr-13	14	15	different	different	ADJ
flr-13	14	16	levels	level	NOUN
flr-13	14	17	of	of	ADP
flr-13	14	18	expected	expect	VERB
flr-13	14	19	performance	performance	NOUN
flr-13	14	20	.	.	PUNCT
flr-13	15	1	thus	thus	ADV
flr-13	15	2	,	,	PUNCT
flr-13	15	3	results	result	NOUN
flr-13	15	4	have	have	AUX
flr-13	15	5	allowed	allow	VERB
flr-13	15	6	the	the	DET
flr-13	15	7	identification	identification	NOUN
flr-13	15	8	of	of	ADP
flr-13	15	9	the	the	DET
flr-13	15	10	specific	specific	ADJ
flr-13	15	11	influence	influence	NOUN
flr-13	15	12	of	of	ADP
flr-13	15	13	each	each	DET
flr-13	15	14	pattern	pattern	NOUN
flr-13	15	15	of	of	ADP
flr-13	15	16	variables	variable	NOUN
flr-13	15	17	on	on	ADP
flr-13	15	18	different	different	ADJ
flr-13	15	19	levels	level	NOUN
flr-13	15	20	of	of	ADP
flr-13	15	21	academic	academic	ADJ
flr-13	15	22	performance	performance	NOUN
flr-13	15	23	,	,	PUNCT
flr-13	15	24	providing	provide	VERB
flr-13	15	25	a	a	DET
flr-13	15	26	better	well	ADJ
flr-13	15	27	understanding	understanding	NOUN
flr-13	15	28	of	of	ADP
flr-13	15	29	the	the	DET
flr-13	15	30	variables	variable	NOUN
flr-13	15	31	with	with	ADP
flr-13	15	32	the	the	DET
flr-13	15	33	greatest	great	ADJ
flr-13	15	34	impact	impact	NOUN
flr-13	15	35	on	on	ADP
flr-13	15	36	individual	individual	ADJ
flr-13	15	37	learning	learning	NOUN
flr-13	15	38	processes	process	NOUN
flr-13	15	39	,	,	PUNCT
flr-13	15	40	and	and	CCONJ
flr-13	15	41	of	of	ADP
flr-13	15	42	those	those	DET
flr-13	15	43	factors	factor	NOUN
flr-13	15	44	that	that	PRON
flr-13	15	45	best	well	ADV
flr-13	15	46	explain	explain	VERB
flr-13	15	47	these	these	DET
flr-13	15	48	processes	process	NOUN
flr-13	15	49	for	for	ADP
flr-13	15	50	different	different	ADJ
flr-13	15	51	academic	academic	ADJ
flr-13	15	52	levels	level	NOUN
flr-13	15	53	.	.	PUNCT
flr-13	16	1	keywords	keyword	NOUN
flr-13	16	2	:	:	PUNCT
flr-13	16	3	predictive	predictive	ADJ
flr-13	16	4	systems	system	NOUN
flr-13	16	5	;	;	PUNCT
flr-13	16	6	academic	academic	ADJ
flr-13	16	7	performance	performance	NOUN
flr-13	16	8	;	;	PUNCT
flr-13	16	9	artificial	artificial	ADJ
flr-13	16	10	neural	neural	ADJ
flr-13	16	11	networks	network	NOUN
flr-13	16	12	m.	m.	PROPN
flr-13	16	13	f.	f.	PROPN
flr-13	16	14	musso	musso	PROPN
flr-13	16	15	et	et	PROPN
flr-13	16	16	al	al	PROPN
flr-13	16	17	.	.	PROPN
flr-13	17	1	43	43	NUM
flr-13	18	1	|	|	NOUN
flr-13	18	2	f	f	NOUN
flr-13	18	3	l	l	NOUN
flr-13	18	4	r	r	NOUN
flr-13	18	5	1	1	NUM
flr-13	18	6	.	.	PUNCT
flr-13	19	1	introduction	introduction	NOUN
flr-13	19	2	many	many	ADJ
flr-13	19	3	studies	study	NOUN
flr-13	19	4	have	have	AUX
flr-13	19	5	explored	explore	VERB
flr-13	19	6	the	the	DET
flr-13	19	7	contribution	contribution	NOUN
flr-13	19	8	to	to	ADP
flr-13	19	9	the	the	DET
flr-13	19	10	explanation	explanation	NOUN
flr-13	19	11	of	of	ADP
flr-13	19	12	academic	academic	ADJ
flr-13	19	13	performance	performance	NOUN
flr-13	19	14	with	with	ADP
flr-13	19	15	the	the	DET
flr-13	19	16	use	use	NOUN
flr-13	19	17	of	of	ADP
flr-13	19	18	various	various	ADJ
flr-13	19	19	different	different	ADJ
flr-13	19	20	variables	variable	NOUN
flr-13	19	21	and	and	CCONJ
flr-13	19	22	from	from	ADP
flr-13	19	23	diverse	diverse	ADJ
flr-13	19	24	theoretical	theoretical	ADJ
flr-13	19	25	perspectives	perspective	NOUN
flr-13	19	26	(	(	PUNCT
flr-13	19	27	e.	e.	PROPN
flr-13	19	28	g.	g.	PROPN
flr-13	19	29	bekele	bekele	PROPN
flr-13	19	30	&	&	CCONJ
flr-13	19	31	mcpherson	mcpherson	PROPN
flr-13	19	32	,	,	PUNCT
flr-13	19	33	2011	2011	NUM
flr-13	19	34	;	;	PUNCT
flr-13	19	35	fenollar	fenollar	ADJ
flr-13	19	36	,	,	PUNCT
flr-13	19	37	roman	roman	NOUN
flr-13	19	38	,	,	PUNCT
flr-13	19	39	&	&	CCONJ
flr-13	19	40	cuestas	cuesta	NOUN
flr-13	19	41	,	,	PUNCT
flr-13	19	42	2007	2007	NUM
flr-13	19	43	;	;	PUNCT
flr-13	19	44	kuncel	kuncel	PROPN
flr-13	19	45	,	,	PUNCT
flr-13	19	46	hezlett	hezlett	NOUN
flr-13	19	47	,	,	PUNCT
flr-13	19	48	&	&	CCONJ
flr-13	19	49	ones	one	NOUN
flr-13	19	50	,	,	PUNCT
flr-13	19	51	2004	2004	NUM
flr-13	19	52	;	;	PUNCT
flr-13	19	53	miñano	miñano	NOUN
flr-13	19	54	,	,	PUNCT
flr-13	19	55	gilar	gilar	ADJ
flr-13	19	56	,	,	PUNCT
flr-13	19	57	&	&	CCONJ
flr-13	19	58	castejón	castejón	PROPN
flr-13	19	59	,	,	PUNCT
flr-13	19	60	2008	2008	NUM
flr-13	19	61	)	)	PUNCT
flr-13	19	62	.	.	PUNCT
flr-13	20	1	many	many	ADJ
flr-13	20	2	factors	factor	NOUN
flr-13	20	3	have	have	AUX
flr-13	20	4	been	be	AUX
flr-13	20	5	identified	identify	VERB
flr-13	20	6	as	as	ADP
flr-13	20	7	having	have	VERB
flr-13	20	8	important	important	ADJ
flr-13	20	9	implications	implication	NOUN
flr-13	20	10	not	not	PART
flr-13	20	11	only	only	ADV
flr-13	20	12	for	for	ADP
flr-13	20	13	the	the	DET
flr-13	20	14	study	study	NOUN
flr-13	20	15	of	of	ADP
flr-13	20	16	learning	learn	VERB
flr-13	20	17	processes	process	NOUN
flr-13	20	18	,	,	PUNCT
flr-13	20	19	but	but	CCONJ
flr-13	20	20	also	also	ADV
flr-13	20	21	as	as	ADP
flr-13	20	22	tools	tool	NOUN
flr-13	20	23	for	for	ADP
flr-13	20	24	improving	improve	VERB
flr-13	20	25	of	of	ADP
flr-13	20	26	curriculum	curriculum	NOUN
flr-13	20	27	designs	design	NOUN
flr-13	20	28	,	,	PUNCT
flr-13	20	29	tutorial	tutorial	NOUN
flr-13	20	30	systems	system	NOUN
flr-13	20	31	,	,	PUNCT
flr-13	20	32	and	and	CCONJ
flr-13	20	33	students‟	students‟	ADV
flr-13	20	34	academic	academic	ADJ
flr-13	20	35	results	result	NOUN
flr-13	20	36	(	(	PUNCT
flr-13	20	37	miñano	miñano	PROPN
flr-13	20	38	et	et	PROPN
flr-13	20	39	.	.	PUNCT
flr-13	21	1	al	al	PROPN
flr-13	21	2	.	.	PROPN
flr-13	21	3	,	,	PUNCT
flr-13	21	4	2008	2008	NUM
flr-13	21	5	;	;	PUNCT
flr-13	21	6	musso	musso	PROPN
flr-13	21	7	&	&	CCONJ
flr-13	21	8	cascallar	cascallar	ADJ
flr-13	21	9	,	,	PUNCT
flr-13	21	10	2009a	2009a	NUM
flr-13	21	11	;	;	PUNCT
flr-13	21	12	zeegers	zeeger	NOUN
flr-13	21	13	,	,	PUNCT
flr-13	21	14	2004	2004	NUM
flr-13	21	15	)	)	PUNCT
flr-13	21	16	.	.	PUNCT
flr-13	22	1	from	from	ADP
flr-13	22	2	this	this	DET
flr-13	22	3	previous	previous	ADJ
flr-13	22	4	body	body	NOUN
flr-13	22	5	of	of	ADP
flr-13	22	6	research	research	NOUN
flr-13	22	7	,	,	PUNCT
flr-13	22	8	it	it	PRON
flr-13	22	9	has	have	AUX
flr-13	22	10	become	become	VERB
flr-13	22	11	apparent	apparent	ADJ
flr-13	22	12	that	that	SCONJ
flr-13	22	13	the	the	DET
flr-13	22	14	accurate	accurate	ADJ
flr-13	22	15	prediction	prediction	NOUN
flr-13	22	16	of	of	ADP
flr-13	22	17	student	student	NOUN
flr-13	22	18	performance	performance	NOUN
flr-13	22	19	could	could	AUX
flr-13	22	20	have	have	VERB
flr-13	22	21	many	many	ADJ
flr-13	22	22	useful	useful	ADJ
flr-13	22	23	applications	application	NOUN
flr-13	22	24	for	for	ADP
flr-13	22	25	positive	positive	ADJ
flr-13	22	26	outcomes	outcome	NOUN
flr-13	22	27	of	of	ADP
flr-13	22	28	the	the	DET
flr-13	22	29	learning	learning	NOUN
flr-13	22	30	process	process	NOUN
flr-13	22	31	and	and	CCONJ
flr-13	22	32	lead	lead	VERB
flr-13	22	33	to	to	ADP
flr-13	22	34	advances	advance	NOUN
flr-13	22	35	in	in	ADP
flr-13	22	36	learning	learn	VERB
flr-13	22	37	theory	theory	NOUN
flr-13	22	38	.	.	PUNCT
flr-13	23	1	for	for	ADP
flr-13	23	2	example	example	NOUN
flr-13	23	3	,	,	PUNCT
flr-13	23	4	it	it	PRON
flr-13	23	5	could	could	AUX
flr-13	23	6	be	be	AUX
flr-13	23	7	helpful	helpful	ADJ
flr-13	23	8	to	to	PART
flr-13	23	9	identify	identify	VERB
flr-13	23	10	students	student	NOUN
flr-13	23	11	at	at	ADP
flr-13	23	12	risk	risk	NOUN
flr-13	23	13	of	of	ADP
flr-13	23	14	low	low	ADJ
flr-13	23	15	academic	academic	ADJ
flr-13	23	16	achievement	achievement	NOUN
flr-13	23	17	(	(	PUNCT
flr-13	23	18	musso	musso	PROPN
flr-13	23	19	&	&	CCONJ
flr-13	23	20	cascallar	cascallar	ADJ
flr-13	23	21	,	,	PUNCT
flr-13	23	22	2009a	2009a	NUM
flr-13	23	23	;	;	PUNCT
flr-13	23	24	ramaswami	ramaswami	NOUN
flr-13	23	25	&	&	CCONJ
flr-13	23	26	bhaskaran	bhaskaran	NOUN
flr-13	23	27	,	,	PUNCT
flr-13	23	28	2010	2010	NUM
flr-13	23	29	)	)	PUNCT
flr-13	23	30	.	.	PUNCT
flr-13	24	1	this	this	DET
flr-13	24	2	prediction	prediction	NOUN
flr-13	24	3	could	could	AUX
flr-13	24	4	serve	serve	VERB
flr-13	24	5	as	as	ADP
flr-13	24	6	an	an	DET
flr-13	24	7	early	early	ADJ
flr-13	24	8	warning	warning	NOUN
flr-13	24	9	of	of	ADP
flr-13	24	10	future	future	ADJ
flr-13	24	11	low	low	ADJ
flr-13	24	12	academic	academic	ADJ
flr-13	24	13	performance	performance	NOUN
flr-13	24	14	and	and	CCONJ
flr-13	24	15	guide	guide	VERB
flr-13	24	16	interventions	intervention	NOUN
flr-13	24	17	that	that	PRON
flr-13	24	18	could	could	AUX
flr-13	24	19	prove	prove	VERB
flr-13	24	20	beneficial	beneficial	ADJ
flr-13	24	21	for	for	ADP
flr-13	24	22	such	such	ADJ
flr-13	24	23	students	student	NOUN
flr-13	24	24	.	.	PUNCT
flr-13	25	1	similarly	similarly	ADV
flr-13	25	2	,	,	PUNCT
flr-13	25	3	being	be	AUX
flr-13	25	4	able	able	ADJ
flr-13	25	5	to	to	PART
flr-13	25	6	understand	understand	VERB
flr-13	25	7	the	the	DET
flr-13	25	8	role	role	NOUN
flr-13	25	9	of	of	ADP
flr-13	25	10	different	different	ADJ
flr-13	25	11	intervening	intervene	VERB
flr-13	25	12	variables	variable	NOUN
flr-13	25	13	that	that	PRON
flr-13	25	14	influence	influence	NOUN
flr-13	25	15	performance	performance	NOUN
flr-13	25	16	for	for	ADP
flr-13	25	17	all	all	PRON
flr-13	25	18	and	and	CCONJ
flr-13	25	19	for	for	ADP
flr-13	25	20	each	each	DET
flr-13	25	21	category	category	NOUN
flr-13	25	22	of	of	ADP
flr-13	25	23	performance	performance	NOUN
flr-13	25	24	level	level	NOUN
flr-13	25	25	,	,	PUNCT
flr-13	25	26	would	would	AUX
flr-13	25	27	be	be	AUX
flr-13	25	28	a	a	DET
flr-13	25	29	significant	significant	ADJ
flr-13	25	30	contribution	contribution	NOUN
flr-13	25	31	to	to	PART
flr-13	25	32	improve	improve	VERB
flr-13	25	33	the	the	DET
flr-13	25	34	approach	approach	NOUN
flr-13	25	35	to	to	ADP
flr-13	25	36	teaching	teaching	NOUN
flr-13	25	37	and	and	CCONJ
flr-13	25	38	better	well	ADV
flr-13	25	39	understand	understand	VERB
flr-13	25	40	learning	learning	NOUN
flr-13	25	41	processes	process	NOUN
flr-13	25	42	.	.	PUNCT
flr-13	26	1	many	many	ADJ
flr-13	26	2	previous	previous	ADJ
flr-13	26	3	studies	study	NOUN
flr-13	26	4	have	have	AUX
flr-13	26	5	focused	focus	VERB
flr-13	26	6	on	on	ADP
flr-13	26	7	the	the	DET
flr-13	26	8	prediction	prediction	NOUN
flr-13	26	9	of	of	ADP
flr-13	26	10	academic	academic	ADJ
flr-13	26	11	performance	performance	NOUN
flr-13	26	12	(	(	PUNCT
flr-13	26	13	e.g.	e.g.	ADV
flr-13	26	14	,	,	PUNCT
flr-13	26	15	hailikari	hailikari	ADJ
flr-13	26	16	,	,	PUNCT
flr-13	26	17	nevgi	nevgi	PROPN
flr-13	26	18	,	,	PUNCT
flr-13	26	19	&	&	CCONJ
flr-13	26	20	komulainen	komulainen	PROPN
flr-13	26	21	,	,	PUNCT
flr-13	26	22	2008	2008	NUM
flr-13	26	23	;	;	PUNCT
flr-13	26	24	krumm	krumm	PROPN
flr-13	26	25	,	,	PUNCT
flr-13	26	26	ziegler	ziegler	PROPN
flr-13	26	27	,	,	PUNCT
flr-13	26	28	&	&	CCONJ
flr-13	26	29	buehner	buehner	NOUN
flr-13	26	30	,	,	PUNCT
flr-13	26	31	2008	2008	NUM
flr-13	26	32	;	;	PUNCT
flr-13	26	33	turner	turner	NOUN
flr-13	26	34	,	,	PUNCT
flr-13	26	35	chandler	chandler	NOUN
flr-13	26	36	,	,	PUNCT
flr-13	26	37	&	&	CCONJ
flr-13	26	38	heffer	heffer	PROPN
flr-13	26	39	,	,	PUNCT
flr-13	26	40	2009	2009	NUM
flr-13	26	41	)	)	PUNCT
flr-13	26	42	.	.	PUNCT
flr-13	27	1	many	many	ADJ
flr-13	27	2	of	of	ADP
flr-13	27	3	the	the	DET
flr-13	27	4	studies	study	NOUN
flr-13	27	5	about	about	ADP
flr-13	27	6	academic	academic	ADJ
flr-13	27	7	performance	performance	NOUN
flr-13	27	8	have	have	AUX
flr-13	27	9	considered	consider	VERB
flr-13	27	10	grade	grade	NOUN
flr-13	27	11	point	point	NOUN
flr-13	27	12	average	average	NOUN
flr-13	27	13	(	(	PUNCT
flr-13	27	14	gpa	gpa	PROPN
flr-13	27	15	)	)	PUNCT
flr-13	27	16	as	as	ADP
flr-13	27	17	the	the	DET
flr-13	27	18	best	good	ADJ
flr-13	27	19	summary	summary	NOUN
flr-13	27	20	of	of	ADP
flr-13	27	21	student	student	NOUN
flr-13	27	22	learning	learning	NOUN
flr-13	27	23	,	,	PUNCT
flr-13	27	24	not	not	PART
flr-13	27	25	only	only	ADV
flr-13	27	26	because	because	SCONJ
flr-13	27	27	of	of	ADP
flr-13	27	28	its	its	PRON
flr-13	27	29	strong	strong	ADJ
flr-13	27	30	prediction	prediction	NOUN
flr-13	27	31	of	of	ADP
flr-13	27	32	performance	performance	NOUN
flr-13	27	33	for	for	ADP
flr-13	27	34	other	other	ADJ
flr-13	27	35	levels	level	NOUN
flr-13	27	36	of	of	ADP
flr-13	27	37	education	education	NOUN
flr-13	27	38	(	(	PUNCT
flr-13	27	39	e.	e.	PROPN
flr-13	27	40	g.	g.	PROPN
flr-13	27	41	kuncel	kuncel	PROPN
flr-13	27	42	et	et	PROPN
flr-13	27	43	al	al	PROPN
flr-13	27	44	.	.	PROPN
flr-13	27	45	,	,	PUNCT
flr-13	27	46	2004	2004	NUM
flr-13	27	47	,	,	PUNCT
flr-13	27	48	2005	2005	NUM
flr-13	27	49	)	)	PUNCT
flr-13	27	50	,	,	PUNCT
flr-13	27	51	but	but	CCONJ
flr-13	27	52	also	also	ADV
flr-13	27	53	for	for	ADP
flr-13	27	54	other	other	ADJ
flr-13	27	55	life	life	NOUN
flr-13	27	56	outcomes	outcome	NOUN
flr-13	27	57	as	as	ADP
flr-13	27	58	salary	salary	NOUN
flr-13	27	59	(	(	PUNCT
flr-13	27	60	roth	roth	PROPN
flr-13	27	61	&	&	CCONJ
flr-13	27	62	clarke	clarke	PROPN
flr-13	27	63	,	,	PUNCT
flr-13	27	64	1998	1998	NUM
flr-13	27	65	)	)	PUNCT
flr-13	27	66	,	,	PUNCT
flr-13	27	67	and	and	CCONJ
flr-13	27	68	job	job	NOUN
flr-13	27	69	performance	performance	NOUN
flr-13	27	70	(	(	PUNCT
flr-13	27	71	roth	roth	PROPN
flr-13	27	72	,	,	PUNCT
flr-13	27	73	be	be	AUX
flr-13	27	74	vier	vier	ADJ
flr-13	27	75	,	,	PUNCT
flr-13	27	76	switzer	switzer	NOUN
flr-13	27	77	,	,	PUNCT
flr-13	27	78	&	&	CCONJ
flr-13	27	79	schippman	schippman	NOUN
flr-13	27	80	,	,	PUNCT
flr-13	27	81	1996	1996	NUM
flr-13	27	82	)	)	PUNCT
flr-13	27	83	.	.	PUNCT
flr-13	28	1	the	the	DET
flr-13	28	2	prediction	prediction	NOUN
flr-13	28	3	of	of	ADP
flr-13	28	4	academic	academic	ADJ
flr-13	28	5	performance	performance	NOUN
flr-13	28	6	has	have	AUX
flr-13	28	7	been	be	AUX
flr-13	28	8	carried	carry	VERB
flr-13	28	9	out	out	ADP
flr-13	28	10	with	with	ADP
flr-13	28	11	different	different	ADJ
flr-13	28	12	methodological	methodological	ADJ
flr-13	28	13	approaches	approach	NOUN
flr-13	28	14	.	.	PUNCT
flr-13	29	1	the	the	DET
flr-13	29	2	first	first	ADJ
flr-13	29	3	and	and	CCONJ
flr-13	29	4	most	most	ADV
flr-13	29	5	common	common	ADJ
flr-13	29	6	approach	approach	NOUN
flr-13	29	7	found	find	VERB
flr-13	29	8	in	in	ADP
flr-13	29	9	the	the	DET
flr-13	29	10	educational	educational	ADJ
flr-13	29	11	literature	literature	NOUN
flr-13	29	12	,	,	PUNCT
flr-13	29	13	has	have	VERB
flr-13	29	14	to	to	PART
flr-13	29	15	do	do	VERB
flr-13	29	16	with	with	ADP
flr-13	29	17	the	the	DET
flr-13	29	18	use	use	NOUN
flr-13	29	19	of	of	ADP
flr-13	29	20	traditional	traditional	ADJ
flr-13	29	21	statistical	statistical	ADJ
flr-13	29	22	methods	method	NOUN
flr-13	29	23	,	,	PUNCT
flr-13	29	24	such	such	ADJ
flr-13	29	25	as	as	ADP
flr-13	29	26	discriminant	discriminant	ADJ
flr-13	29	27	analysis	analysis	NOUN
flr-13	29	28	and	and	CCONJ
flr-13	29	29	multiple	multiple	ADJ
flr-13	29	30	linear	linear	ADJ
flr-13	29	31	regressions	regression	NOUN
flr-13	29	32	(	(	PUNCT
flr-13	29	33	braten	braten	VERB
flr-13	29	34	&	&	CCONJ
flr-13	29	35	stromso	stromso	NOUN
flr-13	29	36	,	,	PUNCT
flr-13	29	37	2006	2006	NUM
flr-13	29	38	;	;	PUNCT
flr-13	29	39	vandamme	vandamme	NOUN
flr-13	29	40	,	,	PUNCT
flr-13	29	41	meskens	mesken	NOUN
flr-13	29	42	&	&	CCONJ
flr-13	29	43	superby	superby	NOUN
flr-13	29	44	,	,	PUNCT
flr-13	29	45	2007	2007	NUM
flr-13	29	46	)	)	PUNCT
flr-13	29	47	.	.	PUNCT
flr-13	30	1	a	a	DET
flr-13	30	2	second	second	ADJ
flr-13	30	3	approach	approach	NOUN
flr-13	30	4	can	can	AUX
flr-13	30	5	be	be	AUX
flr-13	30	6	found	find	VERB
flr-13	30	7	in	in	ADP
flr-13	30	8	various	various	ADJ
flr-13	30	9	studies	study	NOUN
flr-13	30	10	which	which	PRON
flr-13	30	11	have	have	AUX
flr-13	30	12	used	use	VERB
flr-13	30	13	structural	structural	ADJ
flr-13	30	14	equation	equation	NOUN
flr-13	30	15	modelling	modelling	NOUN
flr-13	30	16	(	(	PUNCT
flr-13	30	17	sem	sem	NOUN
flr-13	30	18	)	)	PUNCT
flr-13	30	19	to	to	PART
flr-13	30	20	compare	compare	VERB
flr-13	30	21	theoretical	theoretical	ADJ
flr-13	30	22	models	model	NOUN
flr-13	30	23	to	to	ADP
flr-13	30	24	data	datum	NOUN
flr-13	30	25	sets	set	NOUN
flr-13	30	26	and/or	and/or	CCONJ
flr-13	30	27	to	to	PART
flr-13	30	28	test	test	VERB
flr-13	30	29	different	different	ADJ
flr-13	30	30	models	model	NOUN
flr-13	30	31	of	of	ADP
flr-13	30	32	academic	academic	ADJ
flr-13	30	33	performance	performance	NOUN
flr-13	30	34	(	(	PUNCT
flr-13	30	35	fenollar	fenollar	ADJ
flr-13	30	36	et	et	PROPN
flr-13	30	37	al	al	PROPN
flr-13	30	38	.	.	PROPN
flr-13	30	39	,	,	PUNCT
flr-13	30	40	2007	2007	NUM
flr-13	30	41	;	;	PUNCT
flr-13	30	42	miñano	miñano	PROPN
flr-13	30	43	et	et	PROPN
flr-13	30	44	al	al	PROPN
flr-13	30	45	.	.	PROPN
flr-13	30	46	,	,	PUNCT
flr-13	30	47	2008	2008	NUM
flr-13	30	48	;	;	PUNCT
flr-13	30	49	ruban	ruban	PROPN
flr-13	30	50	&	&	CCONJ
flr-13	30	51	mccoach	mccoach	PROPN
flr-13	30	52	,	,	PUNCT
flr-13	30	53	2005	2005	NUM
flr-13	30	54	)	)	PUNCT
flr-13	30	55	.	.	PUNCT
flr-13	31	1	these	these	DET
flr-13	31	2	traditional	traditional	ADJ
flr-13	31	3	approaches	approach	NOUN
flr-13	31	4	–	–	PUNCT
flr-13	31	5	that	that	PRON
flr-13	31	6	are	be	AUX
flr-13	31	7	tools	tool	NOUN
flr-13	31	8	widely	widely	ADV
flr-13	31	9	used	use	VERB
flr-13	31	10	to	to	PART
flr-13	31	11	predict	predict	VERB
flr-13	31	12	gpa	gpa	PROPN
flr-13	31	13	,	,	PUNCT
flr-13	31	14	to	to	ADP
flr-13	31	15	orient	orient	PROPN
flr-13	31	16	selection	selection	NOUN
flr-13	31	17	,	,	PUNCT
flr-13	31	18	placement	placement	NOUN
flr-13	31	19	,	,	PUNCT
flr-13	31	20	and/or	and/or	CCONJ
flr-13	31	21	classification	classification	NOUN
flr-13	31	22	of	of	ADP
flr-13	31	23	the	the	DET
flr-13	31	24	academic	academic	ADJ
flr-13	31	25	process	process	NOUN
flr-13	31	26	–	–	PUNCT
flr-13	31	27	failed	fail	VERB
flr-13	31	28	to	to	PART
flr-13	31	29	consistently	consistently	ADV
flr-13	31	30	show	show	VERB
flr-13	31	31	the	the	DET
flr-13	31	32	capacity	capacity	NOUN
flr-13	31	33	to	to	PART
flr-13	31	34	reach	reach	VERB
flr-13	31	35	accurate	accurate	ADJ
flr-13	31	36	predictions	prediction	NOUN
flr-13	31	37	or	or	CCONJ
flr-13	31	38	classifications	classification	NOUN
flr-13	31	39	in	in	ADP
flr-13	31	40	comparison	comparison	NOUN
flr-13	31	41	with	with	ADP
flr-13	31	42	artificial	artificial	ADJ
flr-13	31	43	intelligence	intelligence	NOUN
flr-13	31	44	computing	computing	NOUN
flr-13	31	45	methods	method	NOUN
flr-13	31	46	(	(	PUNCT
flr-13	31	47	everson	everson	NOUN
flr-13	31	48	,	,	PUNCT
flr-13	31	49	chance	chance	NOUN
flr-13	31	50	,	,	PUNCT
flr-13	31	51	&	&	CCONJ
flr-13	31	52	lykins	lykin	NOUN
flr-13	31	53	,	,	PUNCT
flr-13	31	54	1994	1994	NUM
flr-13	31	55	;	;	PUNCT
flr-13	31	56	kyndt	kyndt	PROPN
flr-13	31	57	,	,	PUNCT
flr-13	31	58	musso	musso	PROPN
flr-13	31	59	,	,	PUNCT
flr-13	31	60	cascallar	cascallar	ADJ
flr-13	31	61	,	,	PUNCT
flr-13	31	62	&	&	CCONJ
flr-13	31	63	dochy	dochy	NOUN
flr-13	31	64	,	,	PUNCT
flr-13	31	65	2012	2012	NUM
flr-13	31	66	,	,	PUNCT
flr-13	31	67	submitted	submit	VERB
flr-13	31	68	;	;	PUNCT
flr-13	31	69	lykins	lykin	NOUN
flr-13	31	70	&	&	CCONJ
flr-13	31	71	chance	chance	PROPN
flr-13	31	72	,	,	PUNCT
flr-13	31	73	1992	1992	NUM
flr-13	31	74	;	;	PUNCT
flr-13	31	75	maucieri	maucieri	NOUN
flr-13	31	76	,	,	PUNCT
flr-13	31	77	2003	2003	NUM
flr-13	31	78	;	;	PUNCT
flr-13	31	79	weiss	weiss	PROPN
flr-13	31	80	&	&	CCONJ
flr-13	31	81	kulikowski	kulikowski	PROPN
flr-13	31	82	,	,	PUNCT
flr-13	31	83	1991	1991	NUM
flr-13	31	84	)	)	PUNCT
flr-13	31	85	.	.	PUNCT
flr-13	32	1	therefore	therefore	ADV
flr-13	32	2	,	,	PUNCT
flr-13	32	3	a	a	DET
flr-13	32	4	third	third	ADJ
flr-13	32	5	approach	approach	NOUN
flr-13	32	6	to	to	ADP
flr-13	32	7	the	the	DET
flr-13	32	8	“	"	PUNCT
flr-13	32	9	prediction	prediction	NOUN
flr-13	32	10	of	of	ADP
flr-13	32	11	academic	academic	ADJ
flr-13	32	12	performance	performance	NOUN
flr-13	32	13	”	"	PUNCT
flr-13	32	14	that	that	PRON
flr-13	32	15	we	we	PRON
flr-13	32	16	can	can	AUX
flr-13	32	17	find	find	VERB
flr-13	32	18	in	in	ADP
flr-13	32	19	recent	recent	ADJ
flr-13	32	20	literature	literature	NOUN
flr-13	32	21	involves	involve	VERB
flr-13	32	22	machine	machine	NOUN
flr-13	32	23	learning	learn	VERB
flr-13	32	24	techniques	technique	NOUN
flr-13	32	25	,	,	PUNCT
flr-13	32	26	such	such	ADJ
flr-13	32	27	as	as	ADP
flr-13	32	28	methods	method	NOUN
flr-13	32	29	using	use	VERB
flr-13	32	30	artificial	artificial	ADJ
flr-13	32	31	neural	neural	ADJ
flr-13	32	32	networks	network	NOUN
flr-13	32	33	(	(	PUNCT
flr-13	32	34	ann	ann	PROPN
flr-13	32	35	)	)	PUNCT
flr-13	32	36	.	.	PUNCT
flr-13	33	1	this	this	DET
flr-13	33	2	method	method	NOUN
flr-13	33	3	has	have	AUX
flr-13	33	4	been	be	AUX
flr-13	33	5	used	use	VERB
flr-13	33	6	and	and	CCONJ
flr-13	33	7	proven	prove	VERB
flr-13	33	8	useful	useful	ADJ
flr-13	33	9	in	in	ADP
flr-13	33	10	several	several	ADJ
flr-13	33	11	other	other	ADJ
flr-13	33	12	fields	field	NOUN
flr-13	33	13	,	,	PUNCT
flr-13	33	14	such	such	ADJ
flr-13	33	15	as	as	ADP
flr-13	33	16	business	business	NOUN
flr-13	33	17	,	,	PUNCT
flr-13	33	18	engineering	engineering	NOUN
flr-13	33	19	,	,	PUNCT
flr-13	33	20	meteorology	meteorology	NOUN
flr-13	33	21	,	,	PUNCT
flr-13	33	22	and	and	CCONJ
flr-13	33	23	economics	economic	NOUN
flr-13	33	24	.	.	PUNCT
flr-13	34	1	it	it	PRON
flr-13	34	2	is	be	AUX
flr-13	34	3	considered	consider	VERB
flr-13	34	4	an	an	DET
flr-13	34	5	important	important	ADJ
flr-13	34	6	method	method	NOUN
flr-13	34	7	to	to	PART
flr-13	34	8	classify	classify	VERB
flr-13	34	9	potential	potential	ADJ
flr-13	34	10	outcomes	outcome	NOUN
flr-13	34	11	and	and	CCONJ
flr-13	34	12	is	be	AUX
flr-13	34	13	well	well	ADV
flr-13	34	14	regarded	regard	VERB
flr-13	34	15	as	as	ADP
flr-13	34	16	an	an	DET
flr-13	34	17	excellent	excellent	ADJ
flr-13	34	18	pattern	pattern	NOUN
flr-13	34	19	-	-	PUNCT
flr-13	34	20	recognizer	recognizer	NOUN
flr-13	34	21	(	(	PUNCT
flr-13	34	22	detienne	detienne	ADJ
flr-13	34	23	,	,	PUNCT
flr-13	34	24	detienne	detienne	PROPN
flr-13	34	25	,	,	PUNCT
flr-13	34	26	&	&	CCONJ
flr-13	34	27	joshi	joshi	PROPN
flr-13	34	28	,	,	PUNCT
flr-13	34	29	2003	2003	NUM
flr-13	34	30	;	;	PUNCT
flr-13	34	31	neal	neal	PROPN
flr-13	34	32	&	&	CCONJ
flr-13	34	33	wurst	wurst	PROPN
flr-13	34	34	,	,	PUNCT
flr-13	34	35	2001	2001	NUM
flr-13	34	36	;	;	PUNCT
flr-13	34	37	white	white	PROPN
flr-13	34	38	&	&	CCONJ
flr-13	34	39	racine	racine	PROPN
flr-13	34	40	,	,	PUNCT
flr-13	34	41	2001	2001	NUM
flr-13	34	42	)	)	PUNCT
flr-13	34	43	.	.	PUNCT
flr-13	35	1	recent	recent	ADJ
flr-13	35	2	work	work	NOUN
flr-13	35	3	in	in	ADP
flr-13	35	4	the	the	DET
flr-13	35	5	field	field	NOUN
flr-13	35	6	of	of	ADP
flr-13	35	7	computer	computer	NOUN
flr-13	35	8	sciences	science	NOUN
flr-13	35	9	has	have	AUX
flr-13	35	10	started	start	VERB
flr-13	35	11	to	to	PART
flr-13	35	12	apply	apply	VERB
flr-13	35	13	this	this	DET
flr-13	35	14	methodology	methodology	NOUN
flr-13	35	15	to	to	ADP
flr-13	35	16	large	large	ADJ
flr-13	35	17	data	datum	NOUN
flr-13	35	18	banks	bank	NOUN
flr-13	35	19	of	of	ADP
flr-13	35	20	nation	nation	NOUN
flr-13	35	21	-	-	PUNCT
flr-13	35	22	wide	wide	ADJ
flr-13	35	23	educational	educational	ADJ
flr-13	35	24	outcomes	outcome	NOUN
flr-13	35	25	(	(	PUNCT
flr-13	35	26	abu	abu	PROPN
flr-13	35	27	naser	naser	PROPN
flr-13	35	28	,	,	PUNCT
flr-13	35	29	2012	2012	NUM
flr-13	35	30	;	;	PUNCT
flr-13	35	31	croy	croy	PROPN
flr-13	35	32	,	,	PUNCT
flr-13	35	33	barnes	barnes	PROPN
flr-13	35	34	,	,	PUNCT
flr-13	35	35	&	&	CCONJ
flr-13	35	36	stamper	stamper	NOUN
flr-13	35	37	,	,	PUNCT
flr-13	35	38	2008	2008	NUM
flr-13	35	39	;	;	PUNCT
flr-13	35	40	fong	fong	PROPN
flr-13	35	41	,	,	PUNCT
flr-13	35	42	si	si	PROPN
flr-13	35	43	,	,	PUNCT
flr-13	35	44	&	&	CCONJ
flr-13	35	45	biuk	biuk	NOUN
flr-13	35	46	-	-	PUNCT
flr-13	35	47	aghai	aghai	NOUN
flr-13	35	48	,	,	PUNCT
flr-13	35	49	2009	2009	NUM
flr-13	35	50	;	;	PUNCT
flr-13	35	51	kanakana	kanakana	PROPN
flr-13	35	52	,	,	PUNCT
flr-13	35	53	&	&	CCONJ
flr-13	35	54	olanrewaju	olanrewaju	ADJ
flr-13	35	55	,	,	PUNCT
flr-13	35	56	2011	2011	NUM
flr-13	35	57	;	;	PUNCT
flr-13	35	58	maucieri	maucieri	NOUN
flr-13	35	59	,	,	PUNCT
flr-13	35	60	2003	2003	NUM
flr-13	35	61	;	;	PUNCT
flr-13	35	62	mukta	mukta	PROPN
flr-13	35	63	&	&	CCONJ
flr-13	35	64	usha	usha	PROPN
flr-13	35	65	,	,	PUNCT
flr-13	35	66	2009	2009	NUM
flr-13	35	67	;	;	PUNCT
flr-13	35	68	pinninghoff	pinninghoff	PROPN
flr-13	35	69	junemann	junemann	PROPN
flr-13	35	70	,	,	PUNCT
flr-13	35	71	salcedo	salcedo	PROPN
flr-13	35	72	lagos	lagos	PROPN
flr-13	35	73	,	,	PUNCT
flr-13	35	74	&	&	CCONJ
flr-13	35	75	contreras	contreras	PROPN
flr-13	35	76	arriagada	arriagada	PROPN
flr-13	35	77	,	,	PUNCT
flr-13	35	78	2007	2007	NUM
flr-13	35	79	;	;	PUNCT
flr-13	35	80	ramaswami	ramaswami	NOUN
flr-13	35	81	&	&	CCONJ
flr-13	35	82	bhaskaran	bhaskaran	NOUN
flr-13	35	83	,	,	PUNCT
flr-13	35	84	2010	2010	NUM
flr-13	35	85	;	;	PUNCT
flr-13	35	86	zambrano	zambrano	PROPN
flr-13	35	87	matamala	matamala	PROPN
flr-13	35	88	,	,	PUNCT
flr-13	35	89	rojas	rojas	PROPN
flr-13	35	90	díaz	díaz	NOUN
flr-13	35	91	,	,	PUNCT
flr-13	35	92	carvajal	carvajal	PROPN
flr-13	35	93	cuello	cuello	PROPN
flr-13	35	94	,	,	PUNCT
flr-13	35	95	&	&	CCONJ
flr-13	35	96	acuña	acuña	PROPN
flr-13	35	97	leiva	leiva	PROPN
flr-13	35	98	,	,	PUNCT
flr-13	35	99	2011	2011	NUM
flr-13	35	100	;	;	PUNCT
flr-13	35	101	walczak	walczak	NOUN
flr-13	35	102	,	,	PUNCT
flr-13	35	103	1994	1994	NUM
flr-13	35	104	)	)	PUNCT
flr-13	35	105	.	.	PUNCT
flr-13	36	1	this	this	DET
flr-13	36	2	methodology	methodology	NOUN
flr-13	36	3	has	have	AUX
flr-13	36	4	also	also	ADV
flr-13	36	5	recently	recently	ADV
flr-13	36	6	been	be	AUX
flr-13	36	7	used	use	VERB
flr-13	36	8	with	with	ADP
flr-13	36	9	various	various	ADJ
flr-13	36	10	applications	application	NOUN
flr-13	36	11	in	in	ADP
flr-13	36	12	educational	educational	ADJ
flr-13	36	13	measurement	measurement	NOUN
flr-13	36	14	,	,	PUNCT
flr-13	36	15	in	in	ADP
flr-13	36	16	conjunction	conjunction	NOUN
flr-13	36	17	with	with	ADP
flr-13	36	18	other	other	ADJ
flr-13	36	19	theoretical	theoretical	ADJ
flr-13	36	20	models	model	NOUN
flr-13	36	21	of	of	ADP
flr-13	36	22	different	different	ADJ
flr-13	36	23	constructs	construct	NOUN
flr-13	36	24	such	such	ADJ
flr-13	36	25	as	as	ADP
flr-13	36	26	self	self	NOUN
flr-13	36	27	-	-	PUNCT
flr-13	36	28	regulation	regulation	NOUN
flr-13	36	29	of	of	ADP
flr-13	36	30	learning	learning	NOUN
flr-13	36	31	(	(	PUNCT
flr-13	36	32	cascallar	cascallar	ADJ
flr-13	36	33	,	,	PUNCT
flr-13	36	34	boekaerts	boekaert	NOUN
flr-13	36	35	&	&	CCONJ
flr-13	36	36	costigan	costigan	PROPN
flr-13	36	37	,	,	PUNCT
flr-13	36	38	2006	2006	NUM
flr-13	36	39	;	;	PUNCT
flr-13	36	40	everson	everson	PROPN
flr-13	36	41	et	et	PROPN
flr-13	36	42	al	al	PROPN
flr-13	36	43	.	.	PROPN
flr-13	36	44	,	,	PUNCT
flr-13	36	45	1994	1994	NUM
flr-13	36	46	;	;	PUNCT
flr-13	36	47	gorr	gorr	NOUN
flr-13	36	48	,	,	PUNCT
flr-13	36	49	1994	1994	NUM
flr-13	36	50	;	;	PUNCT
flr-13	36	51	hardgrave	hardgrave	NOUN
flr-13	36	52	,	,	PUNCT
flr-13	36	53	wilson	wilson	PROPN
flr-13	36	54	,	,	PUNCT
flr-13	36	55	&	&	CCONJ
flr-13	36	56	walstrom	walstrom	NOUN
flr-13	36	57	,	,	PUNCT
flr-13	36	58	1994	1994	NUM
flr-13	36	59	)	)	PUNCT
flr-13	36	60	,	,	PUNCT
flr-13	36	61	reading	read	VERB
flr-13	36	62	readiness	readiness	NOUN
flr-13	36	63	(	(	PUNCT
flr-13	36	64	musso	musso	PROPN
flr-13	36	65	&	&	CCONJ
flr-13	36	66	cascallar	cascallar	ADJ
flr-13	36	67	,	,	PUNCT
flr-13	36	68	2009a	2009a	NUM
flr-13	36	69	)	)	PUNCT
flr-13	36	70	;	;	PUNCT
flr-13	36	71	and	and	CCONJ
flr-13	36	72	performance	performance	NOUN
flr-13	36	73	in	in	ADP
flr-13	36	74	mathematics	mathematics	PROPN
flr-13	36	75	(	(	PUNCT
flr-13	36	76	musso	musso	PROPN
flr-13	36	77	&	&	CCONJ
flr-13	36	78	cascallar	cascallar	ADJ
flr-13	36	79	,	,	PUNCT
flr-13	36	80	2009b	2009b	NOUN
flr-13	36	81	;	;	PUNCT
flr-13	36	82	musso	musso	PROPN
flr-13	36	83	,	,	PUNCT
flr-13	36	84	kyndt	kyndt	PROPN
flr-13	36	85	,	,	PUNCT
flr-13	36	86	cascallar	cascallar	ADJ
flr-13	36	87	,	,	PUNCT
flr-13	36	88	&	&	CCONJ
flr-13	36	89	dochy	dochy	NOUN
flr-13	36	90	,	,	PUNCT
flr-13	36	91	2012	2012	NUM
flr-13	36	92	)	)	PUNCT
flr-13	36	93	.	.	PUNCT
flr-13	37	1	the	the	DET
flr-13	37	2	application	application	NOUN
flr-13	37	3	of	of	ADP
flr-13	37	4	predictive	predictive	ADJ
flr-13	37	5	systems	system	NOUN
flr-13	37	6	,	,	PUNCT
flr-13	37	7	with	with	ADP
flr-13	37	8	the	the	DET
flr-13	37	9	emergence	emergence	NOUN
flr-13	37	10	of	of	ADP
flr-13	37	11	new	new	ADJ
flr-13	37	12	methodologies	methodology	NOUN
flr-13	37	13	and	and	CCONJ
flr-13	37	14	technologies	technology	NOUN
flr-13	37	15	,	,	PUNCT
flr-13	37	16	have	have	AUX
flr-13	37	17	made	make	VERB
flr-13	37	18	it	it	PRON
flr-13	37	19	possible	possible	ADJ
flr-13	37	20	to	to	PART
flr-13	37	21	assess	assess	VERB
flr-13	37	22	a	a	DET
flr-13	37	23	wide	wide	ADJ
flr-13	37	24	range	range	NOUN
flr-13	37	25	of	of	ADP
flr-13	37	26	data	datum	NOUN
flr-13	37	27	and	and	CCONJ
flr-13	37	28	student	student	NOUN
flr-13	37	29	performances	performance	NOUN
flr-13	37	30	in	in	ADP
flr-13	37	31	order	order	NOUN
flr-13	37	32	to	to	PART
flr-13	37	33	evaluate	evaluate	VERB
flr-13	37	34	their	their	PRON
flr-13	37	35	current	current	ADJ
flr-13	37	36	and	and	CCONJ
flr-13	37	37	future	future	ADJ
flr-13	37	38	performance	performance	NOUN
flr-13	37	39	without	without	ADP
flr-13	37	40	the	the	DET
flr-13	37	41	need	need	NOUN
flr-13	37	42	for	for	ADP
flr-13	37	43	traditional	traditional	ADJ
flr-13	37	44	testing	testing	NOUN
flr-13	37	45	(	(	PUNCT
flr-13	37	46	boekaerts	boekaert	NOUN
flr-13	37	47	&	&	CCONJ
flr-13	37	48	cascallar	cascallar	ADJ
flr-13	37	49	,	,	PUNCT
flr-13	37	50	2006	2006	NUM
flr-13	37	51	;	;	PUNCT
flr-13	37	52	cascallar	cascallar	PROPN
flr-13	37	53	et	et	PROPN
flr-13	37	54	al	al	PROPN
flr-13	37	55	.	.	PROPN
flr-13	37	56	,	,	PUNCT
flr-13	37	57	2006	2006	NUM
flr-13	37	58	)	)	PUNCT
flr-13	37	59	.	.	PUNCT
flr-13	38	1	this	this	DET
flr-13	38	2	methodological	methodological	ADJ
flr-13	38	3	approach	approach	NOUN
flr-13	38	4	using	use	VERB
flr-13	38	5	ann	ann	PROPN
flr-13	38	6	can	can	AUX
flr-13	38	7	lead	lead	VERB
flr-13	38	8	to	to	ADP
flr-13	38	9	the	the	DET
flr-13	38	10	possible	possible	ADJ
flr-13	38	11	implementation	implementation	NOUN
flr-13	38	12	of	of	ADP
flr-13	38	13	continuous	continuous	ADJ
flr-13	38	14	assessment	assessment	NOUN
flr-13	38	15	in	in	ADP
flr-13	38	16	the	the	DET
flr-13	38	17	context	context	NOUN
flr-13	38	18	of	of	ADP
flr-13	38	19	intelligent	intelligent	ADJ
flr-13	38	20	classrooms	classroom	NOUN
flr-13	38	21	(	(	PUNCT
flr-13	38	22	birenbaum	birenbaum	PROPN
flr-13	38	23	et	et	PROPN
flr-13	38	24	al	al	PROPN
flr-13	38	25	.	.	PROPN
flr-13	38	26	,	,	PUNCT
flr-13	38	27	2006	2006	NUM
flr-13	38	28	)	)	PUNCT
flr-13	38	29	.	.	PUNCT
flr-13	39	1	m.	m.	PROPN
flr-13	39	2	f.	f.	PROPN
flr-13	39	3	musso	musso	PROPN
flr-13	39	4	et	et	PROPN
flr-13	39	5	al	al	PROPN
flr-13	39	6	.	.	PROPN
flr-13	40	1	44	44	NUM
flr-13	41	1	|	|	NOUN
flr-13	41	2	f	f	NOUN
flr-13	41	3	l	l	NOUN
flr-13	41	4	r	r	NOUN
flr-13	41	5	existing	exist	VERB
flr-13	41	6	databases	database	NOUN
flr-13	41	7	together	together	ADV
flr-13	41	8	with	with	ADP
flr-13	41	9	the	the	DET
flr-13	41	10	constant	constant	ADJ
flr-13	41	11	monitoring	monitoring	NOUN
flr-13	41	12	of	of	ADP
flr-13	41	13	student	student	NOUN
flr-13	41	14	performance	performance	NOUN
flr-13	41	15	could	could	AUX
flr-13	41	16	provide	provide	VERB
flr-13	41	17	a	a	DET
flr-13	41	18	continuous	continuous	ADJ
flr-13	41	19	evaluation	evaluation	NOUN
flr-13	41	20	in	in	ADP
flr-13	41	21	real	real	ADJ
flr-13	41	22	time	time	NOUN
flr-13	41	23	of	of	ADP
flr-13	41	24	the	the	DET
flr-13	41	25	students‟	students‟	ADJ
flr-13	41	26	progress	progress	NOUN
flr-13	41	27	.	.	PUNCT
flr-13	42	1	the	the	DET
flr-13	42	2	interrelationship	interrelationship	NOUN
flr-13	42	3	between	between	ADP
flr-13	42	4	many	many	ADJ
flr-13	42	5	of	of	ADP
flr-13	42	6	the	the	DET
flr-13	42	7	variables	variable	NOUN
flr-13	42	8	participating	participate	VERB
flr-13	42	9	in	in	ADP
flr-13	42	10	the	the	DET
flr-13	42	11	complex	complex	ADJ
flr-13	42	12	and	and	CCONJ
flr-13	42	13	multi	multi	ADJ
flr-13	42	14	-	-	ADJ
flr-13	42	15	faceted	faceted	ADJ
flr-13	42	16	problem	problem	NOUN
flr-13	42	17	of	of	ADP
flr-13	42	18	academic	academic	ADJ
flr-13	42	19	performance	performance	NOUN
flr-13	42	20	are	be	AUX
flr-13	42	21	not	not	PART
flr-13	42	22	clearly	clearly	ADV
flr-13	42	23	understood	understand	VERB
flr-13	42	24	,	,	PUNCT
flr-13	42	25	and	and	CCONJ
flr-13	42	26	they	they	PRON
flr-13	42	27	are	be	AUX
flr-13	42	28	often	often	ADV
flr-13	42	29	related	relate	VERB
flr-13	42	30	in	in	ADP
flr-13	42	31	nonlinear	nonlinear	ADJ
flr-13	42	32	ways	way	NOUN
flr-13	42	33	.	.	PUNCT
flr-13	43	1	ann	ann	PROPN
flr-13	43	2	have	have	AUX
flr-13	43	3	demonstrated	demonstrate	VERB
flr-13	43	4	to	to	PART
flr-13	43	5	be	be	AUX
flr-13	43	6	a	a	DET
flr-13	43	7	very	very	ADV
flr-13	43	8	effective	effective	ADJ
flr-13	43	9	approach	approach	NOUN
flr-13	43	10	to	to	PART
flr-13	43	11	address	address	VERB
flr-13	43	12	situations	situation	NOUN
flr-13	43	13	with	with	ADP
flr-13	43	14	these	these	DET
flr-13	43	15	characteristics	characteristic	NOUN
flr-13	43	16	and	and	CCONJ
flr-13	43	17	to	to	PART
flr-13	43	18	be	be	AUX
flr-13	43	19	able	able	ADJ
flr-13	43	20	to	to	PART
flr-13	43	21	classify	classify	VERB
flr-13	43	22	and	and	CCONJ
flr-13	43	23	predict	predict	VERB
flr-13	43	24	outcomes	outcome	NOUN
flr-13	43	25	under	under	ADP
flr-13	43	26	those	those	DET
flr-13	43	27	conditions	condition	NOUN
flr-13	43	28	with	with	ADP
flr-13	43	29	a	a	DET
flr-13	43	30	high	high	ADJ
flr-13	43	31	level	level	NOUN
flr-13	43	32	of	of	ADP
flr-13	43	33	accuracy	accuracy	NOUN
flr-13	43	34	,	,	PUNCT
flr-13	43	35	especially	especially	ADV
flr-13	43	36	when	when	SCONJ
flr-13	43	37	large	large	ADJ
flr-13	43	38	data	data	NOUN
flr-13	43	39	sets	set	NOUN
flr-13	43	40	are	be	AUX
flr-13	43	41	available	available	ADJ
flr-13	43	42	.	.	PUNCT
flr-13	44	1	this	this	DET
flr-13	44	2	approach	approach	NOUN
flr-13	44	3	also	also	ADV
flr-13	44	4	allows	allow	VERB
flr-13	44	5	the	the	DET
flr-13	44	6	researcher	researcher	NOUN
flr-13	44	7	to	to	PART
flr-13	44	8	consider	consider	VERB
flr-13	44	9	a	a	DET
flr-13	44	10	large	large	ADJ
flr-13	44	11	number	number	NOUN
flr-13	44	12	of	of	ADP
flr-13	44	13	variables	variable	NOUN
flr-13	44	14	simultaneously	simultaneously	ADV
flr-13	44	15	and	and	CCONJ
flr-13	44	16	make	make	VERB
flr-13	44	17	use	use	NOUN
flr-13	44	18	of	of	ADP
flr-13	44	19	their	their	PRON
flr-13	44	20	interrelationships	interrelationship	NOUN
flr-13	44	21	without	without	ADP
flr-13	44	22	the	the	DET
flr-13	44	23	usual	usual	ADJ
flr-13	44	24	parametric	parametric	ADJ
flr-13	44	25	constraints	constraint	NOUN
flr-13	44	26	.	.	PUNCT
flr-13	45	1	these	these	DET
flr-13	45	2	advantages	advantage	NOUN
flr-13	45	3	would	would	AUX
flr-13	45	4	allow	allow	VERB
flr-13	45	5	researchers	researcher	NOUN
flr-13	45	6	in	in	ADP
flr-13	45	7	the	the	DET
flr-13	45	8	learning	learn	VERB
flr-13	45	9	sciences	science	NOUN
flr-13	45	10	to	to	PART
flr-13	45	11	better	well	ADV
flr-13	45	12	understand	understand	VERB
flr-13	45	13	the	the	DET
flr-13	45	14	complex	complex	ADJ
flr-13	45	15	patterns	pattern	NOUN
flr-13	45	16	of	of	ADP
flr-13	45	17	interactions	interaction	NOUN
flr-13	45	18	between	between	ADP
flr-13	45	19	the	the	DET
flr-13	45	20	variables	variable	NOUN
flr-13	45	21	at	at	ADP
flr-13	45	22	different	different	ADJ
flr-13	45	23	levels	level	NOUN
flr-13	45	24	of	of	ADP
flr-13	45	25	academic	academic	ADJ
flr-13	45	26	performance	performance	NOUN
flr-13	45	27	,	,	PUNCT
flr-13	45	28	not	not	PART
flr-13	45	29	just	just	ADV
flr-13	45	30	for	for	ADP
flr-13	45	31	the	the	DET
flr-13	45	32	prediction	prediction	NOUN
flr-13	45	33	of	of	ADP
flr-13	45	34	performance	performance	NOUN
flr-13	45	35	but	but	CCONJ
flr-13	45	36	also	also	ADV
flr-13	45	37	to	to	PART
flr-13	45	38	understand	understand	VERB
flr-13	45	39	the	the	DET
flr-13	45	40	participating	participate	VERB
flr-13	45	41	factors	factor	NOUN
flr-13	45	42	that	that	PRON
flr-13	45	43	could	could	AUX
flr-13	45	44	be	be	AUX
flr-13	45	45	related	relate	VERB
flr-13	45	46	to	to	ADP
flr-13	45	47	these	these	DET
flr-13	45	48	outcomes	outcome	NOUN
flr-13	45	49	.	.	PUNCT
flr-13	46	1	several	several	ADJ
flr-13	46	2	previous	previous	ADJ
flr-13	46	3	studies	study	NOUN
flr-13	46	4	using	use	VERB
flr-13	46	5	ann	ann	PROPN
flr-13	46	6	have	have	AUX
flr-13	46	7	addressed	address	VERB
flr-13	46	8	the	the	DET
flr-13	46	9	classification	classification	NOUN
flr-13	46	10	of	of	ADP
flr-13	46	11	outcomes	outcome	NOUN
flr-13	46	12	into	into	ADP
flr-13	46	13	different	different	ADJ
flr-13	46	14	levels	level	NOUN
flr-13	46	15	of	of	ADP
flr-13	46	16	performance	performance	NOUN
flr-13	46	17	,	,	PUNCT
flr-13	46	18	for	for	ADP
flr-13	46	19	different	different	ADJ
flr-13	46	20	academic	academic	ADJ
flr-13	46	21	purposes	purpose	NOUN
flr-13	46	22	:	:	PUNCT
flr-13	46	23	a	a	X
flr-13	46	24	)	)	PUNCT
flr-13	46	25	diagnostic	diagnostic	ADJ
flr-13	46	26	purposes	purpose	NOUN
flr-13	46	27	in	in	ADP
flr-13	46	28	order	order	NOUN
flr-13	46	29	to	to	PART
flr-13	46	30	identify	identify	VERB
flr-13	46	31	those	those	DET
flr-13	46	32	students	student	NOUN
flr-13	46	33	most	most	ADV
flr-13	46	34	in	in	ADP
flr-13	46	35	need	need	NOUN
flr-13	46	36	of	of	ADP
flr-13	46	37	support	support	NOUN
flr-13	46	38	at	at	ADP
flr-13	46	39	the	the	DET
flr-13	46	40	beginning	beginning	NOUN
flr-13	46	41	of	of	ADP
flr-13	46	42	their	their	PRON
flr-13	46	43	primary	primary	ADJ
flr-13	46	44	school	school	NOUN
flr-13	46	45	,	,	PUNCT
flr-13	46	46	regarding	regard	VERB
flr-13	46	47	their	their	PRON
flr-13	46	48	readiness	readiness	NOUN
flr-13	46	49	for	for	ADP
flr-13	46	50	learning	learn	VERB
flr-13	46	51	to	to	PART
flr-13	46	52	read	read	VERB
flr-13	46	53	(	(	PUNCT
flr-13	46	54	musso	musso	PROPN
flr-13	46	55	&	&	CCONJ
flr-13	46	56	cascallar	cascallar	ADJ
flr-13	46	57	,	,	PUNCT
flr-13	46	58	2009a	2009a	NUM
flr-13	46	59	)	)	PUNCT
flr-13	46	60	,	,	PUNCT
flr-13	46	61	and	and	CCONJ
flr-13	46	62	b	b	X
flr-13	46	63	)	)	PUNCT
flr-13	46	64	identifying	identify	VERB
flr-13	46	65	students	student	NOUN
flr-13	46	66	with	with	ADP
flr-13	46	67	low	low	ADJ
flr-13	46	68	expected	expected	ADJ
flr-13	46	69	writing	writing	NOUN
flr-13	46	70	performance	performance	NOUN
flr-13	46	71	at	at	ADP
flr-13	46	72	the	the	DET
flr-13	46	73	vocational	vocational	ADJ
flr-13	46	74	secondary	secondary	ADJ
flr-13	46	75	school	school	NOUN
flr-13	46	76	level	level	NOUN
flr-13	46	77	in	in	ADP
flr-13	46	78	order	order	NOUN
flr-13	46	79	to	to	PART
flr-13	46	80	provide	provide	VERB
flr-13	46	81	support	support	NOUN
flr-13	46	82	prior	prior	ADV
flr-13	46	83	to	to	ADP
flr-13	46	84	their	their	PRON
flr-13	46	85	first	first	ADJ
flr-13	46	86	year	year	NOUN
flr-13	46	87	,	,	PUNCT
flr-13	46	88	and	and	CCONJ
flr-13	46	89	thus	thus	ADV
flr-13	46	90	avoiding	avoid	VERB
flr-13	46	91	possible	possible	ADJ
flr-13	46	92	failure	failure	NOUN
flr-13	46	93	(	(	PUNCT
flr-13	46	94	boekaerts	boekaert	NOUN
flr-13	46	95	&	&	CCONJ
flr-13	46	96	cascallar	cascallar	ADJ
flr-13	46	97	,	,	PUNCT
flr-13	46	98	2011	2011	NUM
flr-13	46	99	)	)	PUNCT
flr-13	46	100	.	.	PUNCT
flr-13	47	1	in	in	ADP
flr-13	47	2	these	these	DET
flr-13	47	3	and	and	CCONJ
flr-13	47	4	other	other	ADJ
flr-13	47	5	possible	possible	ADJ
flr-13	47	6	applications	application	NOUN
flr-13	47	7	,	,	PUNCT
flr-13	47	8	the	the	DET
flr-13	47	9	early	early	ADJ
flr-13	47	10	detection	detection	NOUN
flr-13	47	11	of	of	ADP
flr-13	47	12	future	future	ADJ
flr-13	47	13	low	low	ADJ
flr-13	47	14	performance	performance	NOUN
flr-13	47	15	,	,	PUNCT
flr-13	47	16	and	and	CCONJ
flr-13	47	17	more	more	ADV
flr-13	47	18	targeted	targeted	ADJ
flr-13	47	19	interventions	intervention	NOUN
flr-13	47	20	,	,	PUNCT
flr-13	47	21	would	would	AUX
flr-13	47	22	decrease	decrease	VERB
flr-13	47	23	the	the	DET
flr-13	47	24	negative	negative	ADJ
flr-13	47	25	experience	experience	NOUN
flr-13	47	26	of	of	ADP
flr-13	47	27	failure	failure	NOUN
flr-13	47	28	,	,	PUNCT
flr-13	47	29	and	and	CCONJ
flr-13	47	30	it	it	PRON
flr-13	47	31	would	would	AUX
flr-13	47	32	provide	provide	VERB
flr-13	47	33	an	an	DET
flr-13	47	34	important	important	ADJ
flr-13	47	35	diagnostic	diagnostic	ADJ
flr-13	47	36	tool	tool	NOUN
flr-13	47	37	for	for	ADP
flr-13	47	38	effective	effective	ADJ
flr-13	47	39	interventions	intervention	NOUN
flr-13	47	40	.	.	PUNCT
flr-13	48	1	this	this	DET
flr-13	48	2	approach	approach	NOUN
flr-13	48	3	would	would	AUX
flr-13	48	4	improve	improve	VERB
flr-13	48	5	the	the	DET
flr-13	48	6	chances	chance	NOUN
flr-13	48	7	of	of	ADP
flr-13	48	8	achieving	achieve	VERB
flr-13	48	9	successful	successful	ADJ
flr-13	48	10	outcomes	outcome	NOUN
flr-13	48	11	,	,	PUNCT
flr-13	48	12	particularly	particularly	ADV
flr-13	48	13	for	for	ADP
flr-13	48	14	students	student	NOUN
flr-13	48	15	identified	identify	VERB
flr-13	48	16	as	as	ADP
flr-13	48	17	being	be	AUX
flr-13	48	18	“	"	PUNCT
flr-13	48	19	at	at	ADP
flr-13	48	20	-	-	PUNCT
flr-13	48	21	risk	risk	NOUN
flr-13	48	22	”	"	PUNCT
flr-13	48	23	.	.	PUNCT
flr-13	49	1	detecting	detect	VERB
flr-13	49	2	and	and	CCONJ
flr-13	49	3	understanding	understand	VERB
flr-13	49	4	the	the	DET
flr-13	49	5	most	most	ADV
flr-13	49	6	significant	significant	ADJ
flr-13	49	7	variables	variable	NOUN
flr-13	49	8	that	that	PRON
flr-13	49	9	are	be	AUX
flr-13	49	10	the	the	DET
flr-13	49	11	best	good	ADJ
flr-13	49	12	indicators	indicator	NOUN
flr-13	49	13	of	of	ADP
flr-13	49	14	the	the	DET
flr-13	49	15	future	future	ADJ
flr-13	49	16	low	low	ADJ
flr-13	49	17	performers	performer	NOUN
flr-13	49	18	would	would	AUX
flr-13	49	19	be	be	AUX
flr-13	49	20	an	an	DET
flr-13	49	21	important	important	ADJ
flr-13	49	22	tool	tool	NOUN
flr-13	49	23	for	for	ADP
flr-13	49	24	management	management	NOUN
flr-13	49	25	of	of	ADP
flr-13	49	26	school	school	NOUN
flr-13	49	27	resources	resource	NOUN
flr-13	49	28	and	and	CCONJ
flr-13	49	29	planning	planning	NOUN
flr-13	49	30	remediation	remediation	NOUN
flr-13	49	31	programs	program	NOUN
flr-13	49	32	at	at	ADP
flr-13	49	33	all	all	DET
flr-13	49	34	levels	level	NOUN
flr-13	49	35	of	of	ADP
flr-13	49	36	an	an	DET
flr-13	49	37	educational	educational	ADJ
flr-13	49	38	system	system	NOUN
flr-13	49	39	.	.	PUNCT
flr-13	50	1	similarly	similarly	ADV
flr-13	50	2	,	,	PUNCT
flr-13	50	3	knowing	know	VERB
flr-13	50	4	the	the	DET
flr-13	50	5	best	good	ADJ
flr-13	50	6	indicators	indicator	NOUN
flr-13	50	7	of	of	ADP
flr-13	50	8	the	the	DET
flr-13	50	9	future	future	ADJ
flr-13	50	10	high	high	ADJ
flr-13	50	11	performers	performer	NOUN
flr-13	50	12	,	,	PUNCT
flr-13	50	13	would	would	AUX
flr-13	50	14	allow	allow	VERB
flr-13	50	15	first	first	ADV
flr-13	50	16	of	of	ADP
flr-13	50	17	all	all	DET
flr-13	50	18	the	the	DET
flr-13	50	19	understanding	understanding	NOUN
flr-13	50	20	of	of	ADP
flr-13	50	21	many	many	ADJ
flr-13	50	22	of	of	ADP
flr-13	50	23	the	the	DET
flr-13	50	24	factors	factor	NOUN
flr-13	50	25	leading	lead	VERB
flr-13	50	26	to	to	ADP
flr-13	50	27	these	these	DET
flr-13	50	28	positive	positive	ADJ
flr-13	50	29	outcomes	outcome	NOUN
flr-13	50	30	.	.	PUNCT
flr-13	51	1	it	it	PRON
flr-13	51	2	would	would	AUX
flr-13	51	3	also	also	ADV
flr-13	51	4	allow	allow	VERB
flr-13	51	5	an	an	DET
flr-13	51	6	accurate	accurate	ADJ
flr-13	51	7	selection	selection	NOUN
flr-13	51	8	of	of	ADP
flr-13	51	9	those	those	DET
flr-13	51	10	students	student	NOUN
flr-13	51	11	who	who	PRON
flr-13	51	12	could	could	AUX
flr-13	51	13	be	be	AUX
flr-13	51	14	assigned	assign	VERB
flr-13	51	15	to	to	PART
flr-13	51	16	advance	advance	VERB
flr-13	51	17	programs	program	NOUN
flr-13	51	18	,	,	PUNCT
flr-13	51	19	fellowships	fellowship	NOUN
flr-13	51	20	and/or	and/or	CCONJ
flr-13	51	21	be	be	AUX
flr-13	51	22	the	the	DET
flr-13	51	23	object	object	NOUN
flr-13	51	24	of	of	ADP
flr-13	51	25	talent	talent	NOUN
flr-13	51	26	searches	search	NOUN
flr-13	51	27	.	.	PUNCT
flr-13	52	1	the	the	DET
flr-13	52	2	accurate	accurate	ADJ
flr-13	52	3	placement	placement	NOUN
flr-13	52	4	of	of	ADP
flr-13	52	5	students	student	NOUN
flr-13	52	6	in	in	ADP
flr-13	52	7	different	different	ADJ
flr-13	52	8	courses	course	NOUN
flr-13	52	9	or	or	CCONJ
flr-13	52	10	programs	program	NOUN
flr-13	52	11	according	accord	VERB
flr-13	52	12	to	to	ADP
flr-13	52	13	how	how	SCONJ
flr-13	52	14	they	they	PRON
flr-13	52	15	are	be	AUX
flr-13	52	16	expected	expect	VERB
flr-13	52	17	to	to	PART
flr-13	52	18	perform	perform	VERB
flr-13	52	19	would	would	AUX
flr-13	52	20	prevent	prevent	VERB
flr-13	52	21	possible	possible	ADJ
flr-13	52	22	failure	failure	NOUN
flr-13	52	23	,	,	PUNCT
flr-13	52	24	as	as	ADV
flr-13	52	25	well	well	ADV
flr-13	52	26	as	as	ADP
flr-13	52	27	providing	provide	VERB
flr-13	52	28	the	the	DET
flr-13	52	29	opportunity	opportunity	NOUN
flr-13	52	30	to	to	PART
flr-13	52	31	offer	offer	VERB
flr-13	52	32	challenging	challenging	ADJ
flr-13	52	33	tasks	task	NOUN
flr-13	52	34	for	for	ADP
flr-13	52	35	students	student	NOUN
flr-13	52	36	expected	expect	VERB
flr-13	52	37	to	to	PART
flr-13	52	38	be	be	AUX
flr-13	52	39	among	among	ADP
flr-13	52	40	the	the	DET
flr-13	52	41	high	high	ADJ
flr-13	52	42	performers	performer	NOUN
flr-13	52	43	.	.	PUNCT
flr-13	53	1	in	in	ADP
flr-13	53	2	addition	addition	NOUN
flr-13	53	3	,	,	PUNCT
flr-13	53	4	a	a	DET
flr-13	53	5	better	well	ADJ
flr-13	53	6	understanding	understanding	NOUN
flr-13	53	7	of	of	ADP
flr-13	53	8	the	the	DET
flr-13	53	9	interrelationships	interrelationship	NOUN
flr-13	53	10	between	between	ADP
flr-13	53	11	the	the	DET
flr-13	53	12	variables	variable	NOUN
flr-13	53	13	leading	lead	VERB
flr-13	53	14	to	to	ADP
flr-13	53	15	different	different	ADJ
flr-13	53	16	levels	level	NOUN
flr-13	53	17	of	of	ADP
flr-13	53	18	performance	performance	NOUN
flr-13	53	19	,	,	PUNCT
flr-13	53	20	would	would	AUX
flr-13	53	21	allow	allow	VERB
flr-13	53	22	the	the	DET
flr-13	53	23	fine	fine	ADV
flr-13	53	24	-	-	PUNCT
flr-13	53	25	tuning	tuning	NOUN
flr-13	53	26	of	of	ADP
flr-13	53	27	instructional	instructional	ADJ
flr-13	53	28	approaches	approach	NOUN
flr-13	53	29	to	to	ADP
flr-13	53	30	the	the	DET
flr-13	53	31	individual	individual	ADJ
flr-13	53	32	and/or	and/or	CCONJ
flr-13	53	33	group	group	NOUN
flr-13	53	34	needs	need	VERB
flr-13	53	35	using	use	VERB
flr-13	53	36	the	the	DET
flr-13	53	37	information	information	NOUN
flr-13	53	38	provided	provide	VERB
flr-13	53	39	by	by	ADP
flr-13	53	40	an	an	DET
flr-13	53	41	ann	ann	PROPN
flr-13	53	42	approach	approach	NOUN
flr-13	53	43	.	.	PUNCT
flr-13	54	1	some	some	DET
flr-13	54	2	authors	author	NOUN
flr-13	54	3	have	have	AUX
flr-13	54	4	shown	show	VERB
flr-13	54	5	that	that	SCONJ
flr-13	54	6	traditional	traditional	ADJ
flr-13	54	7	statistical	statistical	ADJ
flr-13	54	8	methods	method	NOUN
flr-13	54	9	do	do	AUX
flr-13	54	10	not	not	PART
flr-13	54	11	always	always	ADV
flr-13	54	12	yield	yield	VERB
flr-13	54	13	accurate	accurate	ADJ
flr-13	54	14	predictions	prediction	NOUN
flr-13	54	15	and/or	and/or	CCONJ
flr-13	54	16	classifications	classification	NOUN
flr-13	54	17	(	(	PUNCT
flr-13	54	18	bansal	bansal	NOUN
flr-13	54	19	,	,	PUNCT
flr-13	54	20	kauffman	kauffman	PROPN
flr-13	54	21	&	&	CCONJ
flr-13	54	22	weitz	weitz	PROPN
flr-13	54	23	,	,	PUNCT
flr-13	54	24	1993	1993	NUM
flr-13	54	25	;	;	PUNCT
flr-13	54	26	everson	everson	PROPN
flr-13	54	27	,	,	PUNCT
flr-13	54	28	1995	1995	NUM
flr-13	54	29	;	;	PUNCT
flr-13	54	30	duliba	duliba	PROPN
flr-13	54	31	,	,	PUNCT
flr-13	54	32	1991	1991	NUM
flr-13	54	33	)	)	PUNCT
flr-13	54	34	.	.	PUNCT
flr-13	55	1	preliminary	preliminary	ADJ
flr-13	55	2	research	research	NOUN
flr-13	55	3	using	use	VERB
flr-13	55	4	ann	ann	PROPN
flr-13	55	5	for	for	ADP
flr-13	55	6	prediction	prediction	NOUN
flr-13	55	7	,	,	PUNCT
flr-13	55	8	selection	selection	NOUN
flr-13	55	9	,	,	PUNCT
flr-13	55	10	and	and	CCONJ
flr-13	55	11	classification	classification	NOUN
flr-13	55	12	purposes	purpose	NOUN
flr-13	55	13	suggests	suggest	VERB
flr-13	55	14	that	that	SCONJ
flr-13	55	15	this	this	DET
flr-13	55	16	method	method	NOUN
flr-13	55	17	may	may	AUX
flr-13	55	18	improve	improve	VERB
flr-13	55	19	the	the	DET
flr-13	55	20	validity	validity	NOUN
flr-13	55	21	and	and	CCONJ
flr-13	55	22	accuracy	accuracy	NOUN
flr-13	55	23	of	of	ADP
flr-13	55	24	the	the	DET
flr-13	55	25	classifications	classification	NOUN
flr-13	55	26	,	,	PUNCT
flr-13	55	27	as	as	ADV
flr-13	55	28	well	well	ADV
flr-13	55	29	as	as	ADP
flr-13	55	30	increase	increase	VERB
flr-13	55	31	the	the	DET
flr-13	55	32	predictive	predictive	ADJ
flr-13	55	33	validity	validity	NOUN
flr-13	55	34	of	of	ADP
flr-13	55	35	educational	educational	ADJ
flr-13	55	36	outcomes	outcome	NOUN
flr-13	55	37	(	(	PUNCT
flr-13	55	38	everson	everson	PROPN
flr-13	55	39	et	et	PROPN
flr-13	55	40	al	al	PROPN
flr-13	55	41	.	.	PROPN
flr-13	55	42	,	,	PUNCT
flr-13	55	43	1994	1994	NUM
flr-13	55	44	;	;	PUNCT
flr-13	55	45	hardgrave	hardgrave	NOUN
flr-13	55	46	et	et	PROPN
flr-13	55	47	al	al	PROPN
flr-13	55	48	.	.	PROPN
flr-13	55	49	,	,	PUNCT
flr-13	55	50	1994	1994	NUM
flr-13	55	51	;	;	PUNCT
flr-13	55	52	perkins	perkins	PROPN
flr-13	55	53	,	,	PUNCT
flr-13	55	54	gupta	gupta	PROPN
flr-13	55	55	,	,	PUNCT
flr-13	55	56	tammana	tammana	PROPN
flr-13	55	57	,	,	PUNCT
flr-13	55	58	1995	1995	NUM
flr-13	55	59	;	;	PUNCT
flr-13	55	60	weiss	weiss	PROPN
flr-13	55	61	&	&	CCONJ
flr-13	55	62	kulikowski	kulikowski	PROPN
flr-13	55	63	,	,	PUNCT
flr-13	55	64	1991	1991	NUM
flr-13	55	65	)	)	PUNCT
flr-13	55	66	.	.	PUNCT
flr-13	56	1	this	this	DET
flr-13	56	2	paper	paper	NOUN
flr-13	56	3	explores	explore	VERB
flr-13	56	4	this	this	DET
flr-13	56	5	new	new	ADJ
flr-13	56	6	methodological	methodological	ADJ
flr-13	56	7	approach	approach	NOUN
flr-13	56	8	using	use	VERB
flr-13	56	9	a	a	DET
flr-13	56	10	large	large	ADJ
flr-13	56	11	amount	amount	NOUN
flr-13	56	12	of	of	ADP
flr-13	56	13	data	datum	NOUN
flr-13	56	14	collected	collect	VERB
flr-13	56	15	from	from	ADP
flr-13	56	16	the	the	DET
flr-13	56	17	students	student	NOUN
flr-13	56	18	(	(	PUNCT
flr-13	56	19	including	include	VERB
flr-13	56	20	both	both	CCONJ
flr-13	56	21	cognitive	cognitive	ADJ
flr-13	56	22	and	and	CCONJ
flr-13	56	23	non	non	ADJ
flr-13	56	24	-	-	ADJ
flr-13	56	25	cognitive	cognitive	ADJ
flr-13	56	26	measures	measure	NOUN
flr-13	56	27	)	)	PUNCT
flr-13	56	28	in	in	ADP
flr-13	56	29	order	order	NOUN
flr-13	56	30	to	to	PART
flr-13	56	31	design	design	VERB
flr-13	56	32	predictive	predictive	ADJ
flr-13	56	33	models	model	NOUN
flr-13	56	34	using	use	VERB
flr-13	56	35	artificial	artificial	ADJ
flr-13	56	36	neural	neural	ADJ
flr-13	56	37	networks	network	NOUN
flr-13	56	38	(	(	PUNCT
flr-13	56	39	ann	ann	PROPN
flr-13	56	40	)	)	PUNCT
flr-13	56	41	.	.	PUNCT
flr-13	57	1	the	the	DET
flr-13	57	2	ann	ann	PROPN
flr-13	57	3	models	model	NOUN
flr-13	57	4	in	in	ADP
flr-13	57	5	this	this	DET
flr-13	57	6	research	research	NOUN
flr-13	57	7	study	study	NOUN
flr-13	57	8	can	can	AUX
flr-13	57	9	identify	identify	VERB
flr-13	57	10	those	those	DET
flr-13	57	11	predictors	predictor	NOUN
flr-13	57	12	that	that	PRON
flr-13	57	13	could	could	AUX
flr-13	57	14	best	well	ADV
flr-13	57	15	explain	explain	VERB
flr-13	57	16	different	different	ADJ
flr-13	57	17	levels	level	NOUN
flr-13	57	18	of	of	ADP
flr-13	57	19	academic	academic	ADJ
flr-13	57	20	performance	performance	NOUN
flr-13	57	21	in	in	ADP
flr-13	57	22	three	three	NUM
flr-13	57	23	different	different	ADJ
flr-13	57	24	performance	performance	NOUN
flr-13	57	25	groups	group	NOUN
flr-13	57	26	which	which	PRON
flr-13	57	27	cover	cover	VERB
flr-13	57	28	all	all	DET
flr-13	57	29	the	the	DET
flr-13	57	30	range	range	NOUN
flr-13	57	31	of	of	ADP
flr-13	57	32	performances	performance	NOUN
flr-13	57	33	,	,	PUNCT
flr-13	57	34	as	as	ADV
flr-13	57	35	well	well	ADV
flr-13	57	36	as	as	ADP
flr-13	57	37	making	make	VERB
flr-13	57	38	accurate	accurate	ADJ
flr-13	57	39	classifications	classification	NOUN
flr-13	57	40	of	of	ADP
flr-13	57	41	the	the	DET
flr-13	57	42	expected	expect	VERB
flr-13	57	43	level	level	NOUN
flr-13	57	44	of	of	ADP
flr-13	57	45	performance	performance	NOUN
flr-13	57	46	for	for	ADP
flr-13	57	47	each	each	DET
flr-13	57	48	subject	subject	NOUN
flr-13	57	49	.	.	PUNCT
flr-13	58	1	data	datum	NOUN
flr-13	58	2	about	about	ADP
flr-13	58	3	individual	individual	ADJ
flr-13	58	4	differences	difference	NOUN
flr-13	58	5	in	in	ADP
flr-13	58	6	basic	basic	ADJ
flr-13	58	7	cognitive	cognitive	ADJ
flr-13	58	8	variables	variable	NOUN
flr-13	58	9	were	be	AUX
flr-13	58	10	collected	collect	VERB
flr-13	58	11	,	,	PUNCT
flr-13	58	12	since	since	SCONJ
flr-13	58	13	they	they	PRON
flr-13	58	14	are	be	AUX
flr-13	58	15	strongly	strongly	ADV
flr-13	58	16	related	relate	VERB
flr-13	58	17	to	to	ADP
flr-13	58	18	the	the	DET
flr-13	58	19	student‟s	student‟	VERB
flr-13	58	20	achievement	achievement	NOUN
flr-13	58	21	(	(	PUNCT
flr-13	58	22	colom	colom	PROPN
flr-13	58	23	,	,	PUNCT
flr-13	58	24	escorail	escorail	NOUN
flr-13	58	25	,	,	PUNCT
flr-13	58	26	chin	chin	NOUN
flr-13	58	27	shih	shih	PROPN
flr-13	58	28	,	,	PUNCT
flr-13	58	29	&	&	CCONJ
flr-13	58	30	privado	privado	VERB
flr-13	58	31	,	,	PUNCT
flr-13	58	32	2007	2007	NUM
flr-13	58	33	;	;	PUNCT
flr-13	58	34	grimley	grimley	PROPN
flr-13	58	35	&	&	CCONJ
flr-13	58	36	banner	banner	NOUN
flr-13	58	37	,	,	PUNCT
flr-13	58	38	2008	2008	NUM
flr-13	58	39	)	)	PUNCT
flr-13	58	40	.	.	PUNCT
flr-13	59	1	although	although	SCONJ
flr-13	59	2	it	it	PRON
flr-13	59	3	has	have	AUX
flr-13	59	4	been	be	AUX
flr-13	59	5	argued	argue	VERB
flr-13	59	6	that	that	SCONJ
flr-13	59	7	considering	consider	VERB
flr-13	59	8	students‟	students‟	ADV
flr-13	59	9	cognitive	cognitive	ADJ
flr-13	59	10	ability	ability	NOUN
flr-13	59	11	can	can	AUX
flr-13	59	12	lead	lead	VERB
flr-13	59	13	to	to	ADP
flr-13	59	14	a	a	DET
flr-13	59	15	relatively	relatively	ADV
flr-13	59	16	strong	strong	ADJ
flr-13	59	17	prediction	prediction	NOUN
flr-13	59	18	of	of	ADP
flr-13	59	19	academic	academic	ADJ
flr-13	59	20	performance	performance	NOUN
flr-13	59	21	(	(	PUNCT
flr-13	59	22	colom	colom	PROPN
flr-13	59	23	et	et	PROPN
flr-13	59	24	al	al	PROPN
flr-13	59	25	.	.	PROPN
flr-13	59	26	,	,	PUNCT
flr-13	59	27	2007	2007	NUM
flr-13	59	28	)	)	PUNCT
flr-13	59	29	,	,	PUNCT
flr-13	59	30	this	this	DET
flr-13	59	31	prediction	prediction	NOUN
flr-13	59	32	could	could	AUX
flr-13	59	33	be	be	AUX
flr-13	59	34	strengthened	strengthen	VERB
flr-13	59	35	by	by	ADP
flr-13	59	36	including	include	VERB
flr-13	59	37	background	background	NOUN
flr-13	59	38	and	and	CCONJ
flr-13	59	39	non	non	ADJ
flr-13	59	40	-	-	ADJ
flr-13	59	41	cognitive	cognitive	ADJ
flr-13	59	42	predictors	predictor	NOUN
flr-13	59	43	.	.	PUNCT
flr-13	60	1	as	as	SCONJ
flr-13	60	2	chamorro	chamorro	PROPN
flr-13	60	3	-	-	PUNCT
flr-13	60	4	premuzic	premuzic	PROPN
flr-13	60	5	&	&	CCONJ
flr-13	60	6	arteche	arteche	PROPN
flr-13	60	7	(	(	PUNCT
flr-13	60	8	2008	2008	NUM
flr-13	60	9	)	)	PUNCT
flr-13	60	10	discuss	discuss	VERB
flr-13	60	11	,	,	PUNCT
flr-13	60	12	combining	combine	VERB
flr-13	60	13	both	both	CCONJ
flr-13	60	14	cognitive	cognitive	ADJ
flr-13	60	15	ability	ability	NOUN
flr-13	60	16	and	and	CCONJ
flr-13	60	17	non	non	ADJ
flr-13	60	18	-	-	ADJ
flr-13	60	19	cognitive	cognitive	ADJ
flr-13	60	20	measures	measure	NOUN
flr-13	60	21	can	can	AUX
flr-13	60	22	provide	provide	VERB
flr-13	60	23	a	a	DET
flr-13	60	24	broader	broad	ADJ
flr-13	60	25	understanding	understanding	NOUN
flr-13	60	26	of	of	ADP
flr-13	60	27	an	an	DET
flr-13	60	28	individual‟s	individual‟s	NOUN
flr-13	60	29	likelihood	likelihood	NOUN
flr-13	60	30	to	to	PART
flr-13	60	31	succeed	succeed	VERB
flr-13	60	32	in	in	ADP
flr-13	60	33	academic	academic	ADJ
flr-13	60	34	settings	setting	NOUN
flr-13	60	35	,	,	PUNCT
flr-13	60	36	with	with	ADP
flr-13	60	37	models	model	NOUN
flr-13	60	38	that	that	PRON
flr-13	60	39	predict	predict	VERB
flr-13	60	40	such	such	ADJ
flr-13	60	41	m.	m.	NOUN
flr-13	60	42	f.	f.	PROPN
flr-13	60	43	musso	musso	PROPN
flr-13	60	44	et	et	PROPN
flr-13	60	45	al	al	PROPN
flr-13	60	46	.	.	PROPN
flr-13	61	1	45	45	NUM
flr-13	62	1	|	|	NOUN
flr-13	62	2	f	f	NOUN
flr-13	62	3	l	l	NOUN
flr-13	62	4	r	r	NOUN
flr-13	62	5	performance	performance	NOUN
flr-13	62	6	at	at	ADP
flr-13	62	7	least	least	ADV
flr-13	62	8	one	one	NUM
flr-13	62	9	academic	academic	ADJ
flr-13	62	10	year	year	NOUN
flr-13	62	11	in	in	ADP
flr-13	62	12	advance	advance	NOUN
flr-13	62	13	of	of	ADP
flr-13	62	14	the	the	DET
flr-13	62	15	actual	actual	ADJ
flr-13	62	16	measure	measure	NOUN
flr-13	62	17	being	be	AUX
flr-13	62	18	obtained	obtain	VERB
flr-13	62	19	(	(	PUNCT
flr-13	62	20	grade	grade	NOUN
flr-13	62	21	-	-	PUNCT
flr-13	62	22	point	point	NOUN
flr-13	62	23	average	average	ADJ
flr-13	62	24	,	,	PUNCT
flr-13	62	25	gpa	gpa	PROPN
flr-13	62	26	)	)	PUNCT
flr-13	62	27	.	.	PUNCT
flr-13	63	1	in	in	ADP
flr-13	63	2	addition	addition	NOUN
flr-13	63	3	,	,	PUNCT
flr-13	63	4	discriminant	discriminant	ADJ
flr-13	63	5	analyses	analysis	NOUN
flr-13	63	6	(	(	PUNCT
flr-13	63	7	da	da	NOUN
flr-13	63	8	)	)	PUNCT
flr-13	63	9	was	be	AUX
flr-13	63	10	used	use	VERB
flr-13	63	11	to	to	PART
flr-13	63	12	analyse	analyse	VERB
flr-13	63	13	the	the	DET
flr-13	63	14	same	same	ADJ
flr-13	63	15	data	datum	NOUN
flr-13	63	16	in	in	ADP
flr-13	63	17	order	order	NOUN
flr-13	63	18	to	to	PART
flr-13	63	19	compare	compare	VERB
flr-13	63	20	the	the	DET
flr-13	63	21	predictive	predictive	ADJ
flr-13	63	22	classificatory	classificatory	ADJ
flr-13	63	23	power	power	NOUN
flr-13	63	24	of	of	ADP
flr-13	63	25	both	both	DET
flr-13	63	26	methodologies	methodology	NOUN
flr-13	63	27	.	.	PUNCT
flr-13	64	1	to	to	PART
flr-13	64	2	better	well	ADV
flr-13	64	3	understand	understand	VERB
flr-13	64	4	the	the	DET
flr-13	64	5	rationale	rationale	NOUN
flr-13	64	6	for	for	ADP
flr-13	64	7	this	this	DET
flr-13	64	8	research	research	NOUN
flr-13	64	9	,	,	PUNCT
flr-13	64	10	it	it	PRON
flr-13	64	11	is	be	AUX
flr-13	64	12	useful	useful	ADJ
flr-13	64	13	to	to	PART
flr-13	64	14	review	review	VERB
flr-13	64	15	some	some	PRON
flr-13	64	16	of	of	ADP
flr-13	64	17	the	the	DET
flr-13	64	18	main	main	ADJ
flr-13	64	19	constructs	construct	NOUN
flr-13	64	20	included	include	VERB
flr-13	64	21	as	as	ADP
flr-13	64	22	predictors	predictor	NOUN
flr-13	64	23	in	in	ADP
flr-13	64	24	this	this	DET
flr-13	64	25	study	study	NOUN
flr-13	64	26	,	,	PUNCT
flr-13	64	27	and	and	CCONJ
flr-13	64	28	to	to	PART
flr-13	64	29	explain	explain	VERB
flr-13	64	30	the	the	DET
flr-13	64	31	quite	quite	ADV
flr-13	64	32	novel	novel	ADJ
flr-13	64	33	methodology	methodology	NOUN
flr-13	64	34	introduced	introduce	VERB
flr-13	64	35	from	from	ADP
flr-13	64	36	the	the	DET
flr-13	64	37	family	family	NOUN
flr-13	64	38	of	of	ADP
flr-13	64	39	predictive	predictive	ADJ
flr-13	64	40	systems	system	NOUN
flr-13	64	41	,	,	PUNCT
flr-13	64	42	that	that	ADV
flr-13	64	43	is	is	ADV
flr-13	64	44	,	,	PUNCT
flr-13	64	45	the	the	DET
flr-13	64	46	machine	machine	NOUN
flr-13	64	47	learning	learn	VERB
flr-13	64	48	modelling	model	VERB
flr-13	64	49	technique	technique	NOUN
flr-13	64	50	of	of	ADP
flr-13	64	51	artificial	artificial	ADJ
flr-13	64	52	neural	neural	ADJ
flr-13	64	53	networks	network	NOUN
flr-13	64	54	(	(	PUNCT
flr-13	64	55	ann	ann	PROPN
flr-13	64	56	)	)	PUNCT
flr-13	64	57	.	.	PUNCT
flr-13	65	1	2	2	X
flr-13	65	2	.	.	X
flr-13	65	3	theoretical	theoretical	ADJ
flr-13	65	4	considerations	consideration	NOUN
flr-13	65	5	2.1	2.1	NUM
flr-13	65	6	working	working	NOUN
flr-13	65	7	memory	memory	NOUN
flr-13	65	8	and	and	CCONJ
flr-13	65	9	academic	academic	ADJ
flr-13	65	10	performance	performance	NOUN
flr-13	65	11	intelligence	intelligence	NOUN
flr-13	65	12	and	and	CCONJ
flr-13	65	13	the	the	DET
flr-13	65	14	g	g	NOUN
flr-13	65	15	-	-	PUNCT
flr-13	65	16	factor	factor	NOUN
flr-13	65	17	are	be	AUX
flr-13	65	18	the	the	DET
flr-13	65	19	most	most	ADV
flr-13	65	20	frequently	frequently	ADV
flr-13	65	21	studied	study	VERB
flr-13	65	22	factors	factor	NOUN
flr-13	65	23	in	in	ADP
flr-13	65	24	relation	relation	NOUN
flr-13	65	25	to	to	ADP
flr-13	65	26	academic	academic	ADJ
flr-13	65	27	achievement	achievement	NOUN
flr-13	65	28	and	and	CCONJ
flr-13	65	29	the	the	DET
flr-13	65	30	prediction	prediction	NOUN
flr-13	65	31	of	of	ADP
flr-13	65	32	performance	performance	NOUN
flr-13	65	33	(	(	PUNCT
flr-13	65	34	miñano	miñano	NOUN
flr-13	65	35	et	et	PROPN
flr-13	65	36	al	al	PROPN
flr-13	65	37	.	.	PROPN
flr-13	65	38	,	,	PUNCT
flr-13	65	39	2012	2012	NUM
flr-13	65	40	)	)	PUNCT
flr-13	65	41	.	.	PUNCT
flr-13	66	1	there	there	PRON
flr-13	66	2	is	be	VERB
flr-13	66	3	a	a	DET
flr-13	66	4	large	large	ADJ
flr-13	66	5	body	body	NOUN
flr-13	66	6	of	of	ADP
flr-13	66	7	research	research	NOUN
flr-13	66	8	that	that	PRON
flr-13	66	9	shows	show	VERB
flr-13	66	10	a	a	DET
flr-13	66	11	strong	strong	ADJ
flr-13	66	12	positive	positive	ADJ
flr-13	66	13	correlation	correlation	NOUN
flr-13	66	14	between	between	ADP
flr-13	66	15	g	g	NOUN
flr-13	66	16	and	and	CCONJ
flr-13	66	17	educational	educational	ADJ
flr-13	66	18	success	success	NOUN
flr-13	66	19	(	(	PUNCT
flr-13	66	20	e.g.	e.g.	ADV
flr-13	66	21	,	,	PUNCT
flr-13	66	22	kuncel	kuncel	ADJ
flr-13	66	23	,	,	PUNCT
flr-13	66	24	hezlett	hezlett	NOUN
flr-13	66	25	,	,	PUNCT
flr-13	66	26	&	&	CCONJ
flr-13	66	27	ones	one	NOUN
flr-13	66	28	,	,	PUNCT
flr-13	66	29	2001	2001	NUM
flr-13	66	30	;	;	PUNCT
flr-13	66	31	linn	linn	PROPN
flr-13	66	32	&	&	CCONJ
flr-13	66	33	hastings	hastings	PROPN
flr-13	66	34	,	,	PUNCT
flr-13	66	35	1984	1984	NUM
flr-13	66	36	)	)	PUNCT
flr-13	66	37	.	.	PUNCT
flr-13	67	1	the	the	DET
flr-13	67	2	g	g	NOUN
flr-13	67	3	-	-	PUNCT
flr-13	67	4	factor	factor	NOUN
flr-13	67	5	is	be	AUX
flr-13	67	6	defined	define	VERB
flr-13	67	7	,	,	PUNCT
flr-13	67	8	in	in	ADP
flr-13	67	9	part	part	NOUN
flr-13	67	10	,	,	PUNCT
flr-13	67	11	as	as	ADP
flr-13	67	12	an	an	DET
flr-13	67	13	ability	ability	NOUN
flr-13	67	14	to	to	PART
flr-13	67	15	acquire	acquire	VERB
flr-13	67	16	new	new	ADJ
flr-13	67	17	knowledge	knowledge	NOUN
flr-13	67	18	(	(	PUNCT
flr-13	67	19	e.g.	e.g.	ADV
flr-13	67	20	,	,	PUNCT
flr-13	67	21	cattell	cattell	PROPN
flr-13	67	22	,	,	PUNCT
flr-13	67	23	1971	1971	NUM
flr-13	67	24	;	;	PUNCT
flr-13	67	25	schmidt	schmidt	PROPN
flr-13	67	26	,	,	PUNCT
flr-13	67	27	2002	2002	NUM
flr-13	67	28	;	;	PUNCT
flr-13	67	29	snyderman	snyderman	PROPN
flr-13	67	30	&	&	CCONJ
flr-13	67	31	rothman	rothman	PROPN
flr-13	67	32	,	,	PUNCT
flr-13	67	33	1987	1987	NUM
flr-13	67	34	)	)	PUNCT
flr-13	67	35	.	.	PUNCT
flr-13	68	1	although	although	SCONJ
flr-13	68	2	the	the	DET
flr-13	68	3	g	g	NOUN
flr-13	68	4	-	-	PUNCT
flr-13	68	5	factor	factor	NOUN
flr-13	68	6	is	be	AUX
flr-13	68	7	not	not	PART
flr-13	68	8	the	the	DET
flr-13	68	9	same	same	ADJ
flr-13	68	10	construct	construct	NOUN
flr-13	68	11	as	as	ADP
flr-13	68	12	working	working	NOUN
flr-13	68	13	memory	memory	NOUN
flr-13	68	14	(	(	PUNCT
flr-13	68	15	wm	wm	PROPN
flr-13	68	16	)	)	PUNCT
flr-13	68	17	,	,	PUNCT
flr-13	68	18	several	several	ADJ
flr-13	68	19	studies	study	NOUN
flr-13	68	20	have	have	AUX
flr-13	68	21	demonstrated	demonstrate	VERB
flr-13	68	22	a	a	DET
flr-13	68	23	high	high	ADJ
flr-13	68	24	correlation	correlation	NOUN
flr-13	68	25	between	between	ADP
flr-13	68	26	these	these	DET
flr-13	68	27	measures	measure	NOUN
flr-13	68	28	(	(	PUNCT
flr-13	68	29	heitz	heitz	PROPN
flr-13	68	30	et	et	PROPN
flr-13	68	31	al	al	PROPN
flr-13	68	32	.	.	PROPN
flr-13	68	33	,	,	PUNCT
flr-13	68	34	2006	2006	NUM
flr-13	68	35	;	;	PUNCT
flr-13	68	36	unsworth	unsworth	PROPN
flr-13	68	37	,	,	PUNCT
flr-13	68	38	heitz	heitz	PROPN
flr-13	68	39	,	,	PUNCT
flr-13	68	40	schrock	schrock	NOUN
flr-13	68	41	,	,	PUNCT
flr-13	68	42	&	&	CCONJ
flr-13	68	43	engle	engle	PROPN
flr-13	68	44	,	,	PUNCT
flr-13	68	45	2005	2005	NUM
flr-13	68	46	)	)	PUNCT
flr-13	68	47	.	.	PUNCT
flr-13	69	1	following	follow	VERB
flr-13	69	2	the	the	DET
flr-13	69	3	early	early	ADJ
flr-13	69	4	study	study	NOUN
flr-13	69	5	of	of	ADP
flr-13	69	6	daneman	daneman	NOUN
flr-13	69	7	and	and	CCONJ
flr-13	69	8	carpenter	carpenter	NOUN
flr-13	69	9	(	(	PUNCT
flr-13	69	10	1980	1980	NUM
flr-13	69	11	)	)	PUNCT
flr-13	69	12	on	on	ADP
flr-13	69	13	individual	individual	ADJ
flr-13	69	14	differences	difference	NOUN
flr-13	69	15	in	in	ADP
flr-13	69	16	working	working	NOUN
flr-13	69	17	memory	memory	NOUN
flr-13	69	18	capacity	capacity	NOUN
flr-13	69	19	(	(	PUNCT
flr-13	69	20	wmc	wmc	PROPN
flr-13	69	21	)	)	PUNCT
flr-13	69	22	and	and	CCONJ
flr-13	69	23	reading	read	VERB
flr-13	69	24	comprehension	comprehension	NOUN
flr-13	69	25	,	,	PUNCT
flr-13	69	26	further	further	ADJ
flr-13	69	27	research	research	NOUN
flr-13	69	28	has	have	AUX
flr-13	69	29	shown	show	VERB
flr-13	69	30	the	the	DET
flr-13	69	31	importance	importance	NOUN
flr-13	69	32	of	of	ADP
flr-13	69	33	wmc	wmc	PROPN
flr-13	69	34	as	as	ADP
flr-13	69	35	a	a	DET
flr-13	69	36	domain	domain	NOUN
flr-13	69	37	-	-	PUNCT
flr-13	69	38	general	general	ADJ
flr-13	69	39	construct	construct	NOUN
flr-13	69	40	(	(	PUNCT
flr-13	69	41	conway	conway	PROPN
flr-13	69	42	,	,	PUNCT
flr-13	69	43	cowan	cowan	PROPN
flr-13	69	44	,	,	PUNCT
flr-13	69	45	bunting	bunting	NOUN
flr-13	69	46	,	,	PUNCT
flr-13	69	47	therriault	therriault	NOUN
flr-13	69	48	,	,	PUNCT
flr-13	69	49	&	&	CCONJ
flr-13	69	50	minkoff	minkoff	PROPN
flr-13	69	51	,	,	PUNCT
flr-13	69	52	2002	2002	NUM
flr-13	69	53	;	;	PUNCT
flr-13	69	54	conway	conway	PROPN
flr-13	69	55	&	&	CCONJ
flr-13	69	56	engle	engle	PROPN
flr-13	69	57	,	,	PUNCT
flr-13	69	58	1996	1996	NUM
flr-13	69	59	;	;	PUNCT
flr-13	69	60	engle	engle	PROPN
flr-13	69	61	&	&	CCONJ
flr-13	69	62	kane	kane	PROPN
flr-13	69	63	,	,	PUNCT
flr-13	69	64	2004	2004	NUM
flr-13	69	65	;	;	PUNCT
flr-13	69	66	feldman	feldman	PROPN
flr-13	69	67	barrett	barrett	PROPN
flr-13	69	68	,	,	PUNCT
flr-13	69	69	tugade	tugade	ADJ
flr-13	69	70	,	,	PUNCT
flr-13	69	71	&	&	CCONJ
flr-13	69	72	engle	engle	PROPN
flr-13	69	73	,	,	PUNCT
flr-13	69	74	2004	2004	NUM
flr-13	69	75	;	;	PUNCT
flr-13	69	76	kane	kane	PROPN
flr-13	69	77	et	et	PROPN
flr-13	69	78	al	al	PROPN
flr-13	69	79	.	.	PROPN
flr-13	69	80	,	,	PUNCT
flr-13	69	81	2004	2004	NUM
flr-13	69	82	)	)	PUNCT
flr-13	69	83	,	,	PUNCT
flr-13	69	84	including	include	VERB
flr-13	69	85	the	the	DET
flr-13	69	86	prediction	prediction	NOUN
flr-13	69	87	of	of	ADP
flr-13	69	88	average	average	ADJ
flr-13	69	89	scores	score	NOUN
flr-13	69	90	over	over	ADP
flr-13	69	91	several	several	ADJ
flr-13	69	92	academic	academic	ADJ
flr-13	69	93	areas	area	NOUN
flr-13	69	94	(	(	PUNCT
flr-13	69	95	colom	colom	PROPN
flr-13	69	96	et	et	PROPN
flr-13	69	97	al	al	PROPN
flr-13	69	98	.	.	PROPN
flr-13	69	99	,	,	PUNCT
flr-13	69	100	2007	2007	NUM
flr-13	69	101	)	)	PUNCT
flr-13	69	102	.	.	PUNCT
flr-13	70	1	similarly	similarly	ADV
flr-13	70	2	,	,	PUNCT
flr-13	70	3	a	a	DET
flr-13	70	4	large	large	ADJ
flr-13	70	5	body	body	NOUN
flr-13	70	6	of	of	ADP
flr-13	70	7	literature	literature	NOUN
flr-13	70	8	shows	show	VERB
flr-13	70	9	wmc	wmc	PROPN
flr-13	70	10	as	as	ADP
flr-13	70	11	a	a	DET
flr-13	70	12	very	very	ADV
flr-13	70	13	important	important	ADJ
flr-13	70	14	construct	construct	NOUN
flr-13	70	15	in	in	ADP
flr-13	70	16	several	several	ADJ
flr-13	70	17	areas	area	NOUN
flr-13	70	18	and	and	CCONJ
flr-13	70	19	several	several	ADJ
flr-13	70	20	studies	study	NOUN
flr-13	70	21	have	have	AUX
flr-13	70	22	shown	show	VERB
flr-13	70	23	its	its	PRON
flr-13	70	24	importance	importance	NOUN
flr-13	70	25	in	in	ADP
flr-13	70	26	a	a	DET
flr-13	70	27	wide	wide	ADJ
flr-13	70	28	range	range	NOUN
flr-13	70	29	of	of	ADP
flr-13	70	30	complex	complex	ADJ
flr-13	70	31	cognitive	cognitive	ADJ
flr-13	70	32	behaviours	behaviour	NOUN
flr-13	70	33	such	such	ADJ
flr-13	70	34	as	as	ADP
flr-13	70	35	comprehension	comprehension	NOUN
flr-13	70	36	(	(	PUNCT
flr-13	70	37	e.g.	e.g.	ADJ
flr-13	70	38	,	,	PUNCT
flr-13	70	39	daneman	daneman	NOUN
flr-13	70	40	&	&	CCONJ
flr-13	70	41	carpenter	carpenter	PROPN
flr-13	70	42	,	,	PUNCT
flr-13	70	43	1980	1980	NUM
flr-13	70	44	)	)	PUNCT
flr-13	70	45	,	,	PUNCT
flr-13	70	46	reasoning	reasoning	NOUN
flr-13	70	47	(	(	PUNCT
flr-13	70	48	e.g.	e.g.	ADV
flr-13	70	49	,	,	PUNCT
flr-13	70	50	kyllonen	kyllonen	PROPN
flr-13	70	51	&	&	CCONJ
flr-13	70	52	christal	christal	PROPN
flr-13	70	53	,	,	PUNCT
flr-13	70	54	1990	1990	NUM
flr-13	70	55	)	)	PUNCT
flr-13	70	56	,	,	PUNCT
flr-13	70	57	problem	problem	NOUN
flr-13	70	58	solving	solving	NOUN
flr-13	70	59	(	(	PUNCT
flr-13	70	60	welsh	welsh	NOUN
flr-13	70	61	,	,	PUNCT
flr-13	70	62	satterleecartmell	satterleecartmell	VERB
flr-13	70	63	,	,	PUNCT
flr-13	70	64	&	&	CCONJ
flr-13	70	65	stine	stine	PROPN
flr-13	70	66	,	,	PUNCT
flr-13	70	67	1999	1999	NUM
flr-13	70	68	)	)	PUNCT
flr-13	70	69	and	and	CCONJ
flr-13	70	70	complex	complex	ADJ
flr-13	70	71	learning	learning	NOUN
flr-13	70	72	(	(	PUNCT
flr-13	70	73	kyllonen	kyllonen	PROPN
flr-13	70	74	&	&	CCONJ
flr-13	70	75	stephens	stephens	PROPN
flr-13	70	76	,	,	PUNCT
flr-13	70	77	1990	1990	NUM
flr-13	70	78	;	;	PUNCT
flr-13	70	79	kyndt	kyndt	PROPN
flr-13	70	80	,	,	PUNCT
flr-13	70	81	cascallar	cascallar	ADJ
flr-13	70	82	,	,	PUNCT
flr-13	70	83	&	&	CCONJ
flr-13	70	84	dochy	dochy	NOUN
flr-13	70	85	,	,	PUNCT
flr-13	70	86	2012	2012	NUM
flr-13	70	87	;	;	PUNCT
flr-13	70	88	st	st	PROPN
flr-13	70	89	clair	clair	PROPN
flr-13	70	90	-	-	PUNCT
flr-13	70	91	thompson	thompson	PROPN
flr-13	70	92	&	&	CCONJ
flr-13	70	93	gathercole	gathercole	PROPN
flr-13	70	94	,	,	PUNCT
flr-13	70	95	2006	2006	NUM
flr-13	70	96	)	)	PUNCT
flr-13	70	97	.	.	PUNCT
flr-13	71	1	wmc	wmc	PROPN
flr-13	71	2	is	be	AUX
flr-13	71	3	an	an	DET
flr-13	71	4	important	important	ADJ
flr-13	71	5	predictive	predictive	ADJ
flr-13	71	6	variable	variable	NOUN
flr-13	71	7	of	of	ADP
flr-13	71	8	intellectual	intellectual	ADJ
flr-13	71	9	ability	ability	NOUN
flr-13	71	10	and	and	CCONJ
flr-13	71	11	academic	academic	ADJ
flr-13	71	12	performance	performance	NOUN
flr-13	71	13	,	,	PUNCT
flr-13	71	14	consistent	consistent	ADJ
flr-13	71	15	over	over	ADP
flr-13	71	16	time	time	NOUN
flr-13	71	17	(	(	PUNCT
flr-13	71	18	e.g.	e.g.	ADV
flr-13	71	19	engle	engle	NOUN
flr-13	71	20	,	,	PUNCT
flr-13	71	21	2002	2002	NUM
flr-13	71	22	;	;	PUNCT
flr-13	71	23	musso	musso	PROPN
flr-13	71	24	&	&	CCONJ
flr-13	71	25	cascallar	cascallar	ADJ
flr-13	71	26	,	,	PUNCT
flr-13	71	27	2009a	2009a	NUM
flr-13	71	28	;	;	PUNCT
flr-13	71	29	passolunghi	passolunghi	PROPN
flr-13	71	30	&	&	CCONJ
flr-13	71	31	pazzaglia	pazzaglia	PROPN
flr-13	71	32	,	,	PUNCT
flr-13	71	33	2004	2004	NUM
flr-13	71	34	;	;	PUNCT
flr-13	71	35	pickering	pickering	NOUN
flr-13	71	36	,	,	PUNCT
flr-13	71	37	2006	2006	NUM
flr-13	71	38	)	)	PUNCT
flr-13	71	39	.	.	PUNCT
flr-13	72	1	working	work	VERB
flr-13	72	2	memory	memory	NOUN
flr-13	72	3	is	be	AUX
flr-13	72	4	a	a	DET
flr-13	72	5	paradigmatic	paradigmatic	ADJ
flr-13	72	6	form	form	NOUN
flr-13	72	7	of	of	ADP
flr-13	72	8	cognitive	cognitive	ADJ
flr-13	72	9	control	control	NOUN
flr-13	72	10	that	that	PRON
flr-13	72	11	explains	explain	VERB
flr-13	72	12	how	how	SCONJ
flr-13	72	13	this	this	DET
flr-13	72	14	cognitive	cognitive	ADJ
flr-13	72	15	control	control	NOUN
flr-13	72	16	occurs	occur	VERB
flr-13	72	17	,	,	PUNCT
flr-13	72	18	and	and	CCONJ
flr-13	72	19	which	which	PRON
flr-13	72	20	involves	involve	VERB
flr-13	72	21	the	the	DET
flr-13	72	22	active	active	ADJ
flr-13	72	23	maintenance	maintenance	NOUN
flr-13	72	24	and	and	CCONJ
flr-13	72	25	executive	executive	ADJ
flr-13	72	26	processing	processing	NOUN
flr-13	72	27	of	of	ADP
flr-13	72	28	information	information	NOUN
flr-13	72	29	available	available	ADJ
flr-13	72	30	to	to	ADP
flr-13	72	31	the	the	DET
flr-13	72	32	cognitive	cognitive	ADJ
flr-13	72	33	system	system	NOUN
flr-13	72	34	,	,	PUNCT
flr-13	72	35	combining	combine	VERB
flr-13	72	36	the	the	DET
flr-13	72	37	ability	ability	NOUN
flr-13	72	38	to	to	PART
flr-13	72	39	both	both	CCONJ
flr-13	72	40	maintain	maintain	VERB
flr-13	72	41	and	and	CCONJ
flr-13	72	42	effectively	effectively	ADV
flr-13	72	43	process	process	VERB
flr-13	72	44	information	information	NOUN
flr-13	72	45	with	with	ADP
flr-13	72	46	minimal	minimal	ADJ
flr-13	72	47	loss	loss	NOUN
flr-13	72	48	(	(	PUNCT
flr-13	72	49	jarrold	jarrold	ADJ
flr-13	72	50	&	&	CCONJ
flr-13	72	51	towse	towse	NOUN
flr-13	72	52	,	,	PUNCT
flr-13	72	53	2006	2006	NUM
flr-13	72	54	)	)	PUNCT
flr-13	72	55	.	.	PUNCT
flr-13	73	1	it	it	PRON
flr-13	73	2	is	be	AUX
flr-13	73	3	crucial	crucial	ADJ
flr-13	73	4	for	for	ADP
flr-13	73	5	the	the	DET
flr-13	73	6	processing	processing	NOUN
flr-13	73	7	of	of	ADP
flr-13	73	8	information	information	NOUN
flr-13	73	9	within	within	ADP
flr-13	73	10	the	the	DET
flr-13	73	11	cognitive	cognitive	ADJ
flr-13	73	12	system	system	NOUN
flr-13	73	13	,	,	PUNCT
flr-13	73	14	it	it	PRON
flr-13	73	15	has	have	VERB
flr-13	73	16	a	a	DET
flr-13	73	17	limited	limited	ADJ
flr-13	73	18	capacity	capacity	NOUN
flr-13	73	19	and	and	CCONJ
flr-13	73	20	it	it	PRON
flr-13	73	21	differs	differ	VERB
flr-13	73	22	between	between	ADP
flr-13	73	23	individuals	individual	NOUN
flr-13	73	24	(	(	PUNCT
flr-13	73	25	conway	conway	PROPN
flr-13	73	26	et	et	PROPN
flr-13	73	27	al	al	PROPN
flr-13	73	28	.	.	PROPN
flr-13	73	29	,	,	PUNCT
flr-13	73	30	2005	2005	NUM
flr-13	73	31	)	)	PUNCT
flr-13	73	32	.	.	PUNCT
flr-13	74	1	the	the	DET
flr-13	74	2	literature	literature	NOUN
flr-13	74	3	seems	seem	VERB
flr-13	74	4	to	to	PART
flr-13	74	5	indicate	indicate	VERB
flr-13	74	6	two	two	NUM
flr-13	74	7	fundamental	fundamental	ADJ
flr-13	74	8	approaches	approach	NOUN
flr-13	74	9	according	accord	VERB
flr-13	74	10	to	to	ADP
flr-13	74	11	the	the	DET
flr-13	74	12	interpretation	interpretation	NOUN
flr-13	74	13	of	of	ADP
flr-13	74	14	working	working	NOUN
flr-13	74	15	memory	memory	NOUN
flr-13	74	16	and	and	CCONJ
flr-13	74	17	executive	executive	ADJ
flr-13	74	18	control	control	NOUN
flr-13	74	19	.	.	PUNCT
flr-13	75	1	traditional	traditional	ADJ
flr-13	75	2	perspectives	perspective	NOUN
flr-13	75	3	represent	represent	VERB
flr-13	75	4	working	working	NOUN
flr-13	75	5	memory	memory	NOUN
flr-13	75	6	and	and	CCONJ
flr-13	75	7	executive	executive	ADJ
flr-13	75	8	control	control	NOUN
flr-13	75	9	as	as	ADP
flr-13	75	10	separate	separate	ADJ
flr-13	75	11	modules	module	NOUN
flr-13	75	12	(	(	PUNCT
flr-13	75	13	e.g.	e.g.	ADV
flr-13	75	14	,	,	PUNCT
flr-13	75	15	baddeley	baddeley	NOUN
flr-13	75	16	,	,	PUNCT
flr-13	75	17	1986	1986	NUM
flr-13	75	18	)	)	PUNCT
flr-13	75	19	.	.	PUNCT
flr-13	76	1	the	the	DET
flr-13	76	2	perspective	perspective	NOUN
flr-13	76	3	taken	take	VERB
flr-13	76	4	in	in	ADP
flr-13	76	5	this	this	DET
flr-13	76	6	research	research	NOUN
flr-13	76	7	coincides	coincide	VERB
flr-13	76	8	with	with	ADP
flr-13	76	9	another	another	DET
flr-13	76	10	view	view	NOUN
flr-13	76	11	that	that	PRON
flr-13	76	12	understands	understand	VERB
flr-13	76	13	working	working	NOUN
flr-13	76	14	memory	memory	NOUN
flr-13	76	15	and	and	CCONJ
flr-13	76	16	executive	executive	ADJ
flr-13	76	17	control	control	NOUN
flr-13	76	18	as	as	ADP
flr-13	76	19	constituting	constitute	VERB
flr-13	76	20	two	two	NUM
flr-13	76	21	sides	side	NOUN
flr-13	76	22	of	of	ADP
flr-13	76	23	the	the	DET
flr-13	76	24	same	same	ADJ
flr-13	76	25	phenomenon	phenomenon	NOUN
flr-13	76	26	,	,	PUNCT
flr-13	76	27	an	an	DET
flr-13	76	28	emergent	emergent	ADJ
flr-13	76	29	property	property	NOUN
flr-13	76	30	from	from	ADP
flr-13	76	31	the	the	DET
flr-13	76	32	neuro	neuro	NOUN
flr-13	76	33	-	-	PUNCT
flr-13	76	34	cognitive	cognitive	ADJ
flr-13	76	35	architecture	architecture	NOUN
flr-13	76	36	(	(	PUNCT
flr-13	76	37	anderson	anderson	PROPN
flr-13	76	38	,	,	PUNCT
flr-13	76	39	1983	1983	NUM
flr-13	76	40	,	,	PUNCT
flr-13	76	41	1993	1993	NUM
flr-13	76	42	,	,	PUNCT
flr-13	76	43	2002	2002	NUM
flr-13	76	44	,	,	PUNCT
flr-13	76	45	2007	2007	NUM
flr-13	76	46	;	;	PUNCT
flr-13	76	47	anderson	anderson	PROPN
flr-13	76	48	et	et	PROPN
flr-13	76	49	al	al	PROPN
flr-13	76	50	.	.	PROPN
flr-13	76	51	,	,	PUNCT
flr-13	76	52	2004	2004	NUM
flr-13	76	53	;	;	PUNCT
flr-13	76	54	hazy	hazy	ADJ
flr-13	76	55	;	;	PUNCT
flr-13	76	56	frank	frank	PROPN
flr-13	76	57	&	&	CCONJ
flr-13	76	58	o‟reilly	o‟reilly	ADV
flr-13	76	59	,	,	PUNCT
flr-13	76	60	2006	2006	NUM
flr-13	76	61	)	)	PUNCT
flr-13	76	62	.	.	PUNCT
flr-13	77	1	2.2	2.2	NUM
flr-13	77	2	attention	attention	NOUN
flr-13	77	3	and	and	CCONJ
flr-13	77	4	academic	academic	ADJ
flr-13	77	5	performance	performance	NOUN
flr-13	77	6	attention	attention	NOUN
flr-13	77	7	as	as	ADP
flr-13	77	8	a	a	DET
flr-13	77	9	cognitive	cognitive	ADJ
flr-13	77	10	construct	construct	NOUN
flr-13	77	11	has	have	AUX
flr-13	77	12	been	be	AUX
flr-13	77	13	studied	study	VERB
flr-13	77	14	from	from	ADP
flr-13	77	15	different	different	ADJ
flr-13	77	16	theoretical	theoretical	ADJ
flr-13	77	17	and	and	CCONJ
flr-13	77	18	methodological	methodological	ADJ
flr-13	77	19	approaches	approach	NOUN
flr-13	77	20	(	(	PUNCT
flr-13	77	21	e.g.	e.g.	ADV
flr-13	77	22	,	,	PUNCT
flr-13	77	23	posner	posner	NOUN
flr-13	77	24	&	&	CCONJ
flr-13	77	25	rothbart	rothbart	NOUN
flr-13	77	26	,	,	PUNCT
flr-13	77	27	1998	1998	NUM
flr-13	77	28	;	;	PUNCT
flr-13	77	29	redick	redick	NOUN
flr-13	77	30	&	&	CCONJ
flr-13	77	31	engle	engle	PROPN
flr-13	77	32	,	,	PUNCT
flr-13	77	33	2006	2006	NUM
flr-13	77	34	;	;	PUNCT
flr-13	77	35	rueda	rueda	PROPN
flr-13	77	36	,	,	PUNCT
flr-13	77	37	posner	posner	NOUN
flr-13	77	38	,	,	PUNCT
flr-13	77	39	&	&	CCONJ
flr-13	77	40	rothbart	rothbart	NOUN
flr-13	77	41	,	,	PUNCT
flr-13	77	42	2004	2004	NUM
flr-13	77	43	)	)	PUNCT
flr-13	77	44	.	.	PUNCT
flr-13	78	1	it	it	PRON
flr-13	78	2	is	be	AUX
flr-13	78	3	evident	evident	ADJ
flr-13	78	4	that	that	SCONJ
flr-13	78	5	our	our	PRON
flr-13	78	6	cognitive	cognitive	ADJ
flr-13	78	7	system	system	NOUN
flr-13	78	8	is	be	AUX
flr-13	78	9	constantly	constantly	ADV
flr-13	78	10	receiving	receive	VERB
flr-13	78	11	a	a	DET
flr-13	78	12	variety	variety	NOUN
flr-13	78	13	of	of	ADP
flr-13	78	14	inputs	input	NOUN
flr-13	78	15	form	form	VERB
flr-13	78	16	the	the	DET
flr-13	78	17	environment	environment	NOUN
flr-13	78	18	.	.	PUNCT
flr-13	79	1	all	all	DET
flr-13	79	2	these	these	DET
flr-13	79	3	inputs	input	NOUN
flr-13	79	4	are	be	AUX
flr-13	79	5	competing	compete	VERB
flr-13	79	6	for	for	ADP
flr-13	79	7	the	the	DET
flr-13	79	8	limited	limited	ADJ
flr-13	79	9	resources	resource	NOUN
flr-13	79	10	of	of	ADP
flr-13	79	11	the	the	DET
flr-13	79	12	cognitive	cognitive	ADJ
flr-13	79	13	system	system	NOUN
flr-13	79	14	,	,	PUNCT
flr-13	79	15	and	and	CCONJ
flr-13	79	16	requiring	require	VERB
flr-13	79	17	our	our	PRON
flr-13	79	18	“	"	PUNCT
flr-13	79	19	attention	attention	NOUN
flr-13	79	20	”	"	PUNCT
flr-13	79	21	.	.	PUNCT
flr-13	80	1	m.	m.	PROPN
flr-13	80	2	f.	f.	PROPN
flr-13	80	3	musso	musso	PROPN
flr-13	80	4	et	et	PROPN
flr-13	80	5	al	al	PROPN
flr-13	80	6	.	.	PROPN
flr-13	81	1	46	46	NUM
flr-13	82	1	|	|	ADV
flr-13	82	2	f	f	NOUN
flr-13	82	3	l	l	NOUN
flr-13	82	4	r	r	NOUN
flr-13	82	5	however	however	ADV
flr-13	82	6	,	,	PUNCT
flr-13	82	7	because	because	SCONJ
flr-13	82	8	human	human	ADJ
flr-13	82	9	cognitive	cognitive	ADJ
flr-13	82	10	capacities	capacity	NOUN
flr-13	82	11	are	be	AUX
flr-13	82	12	limited	limit	VERB
flr-13	82	13	in	in	ADP
flr-13	82	14	their	their	PRON
flr-13	82	15	ability	ability	NOUN
flr-13	82	16	to	to	PART
flr-13	82	17	process	process	VERB
flr-13	82	18	information	information	NOUN
flr-13	82	19	simultaneously	simultaneously	ADV
flr-13	82	20	(	(	PUNCT
flr-13	82	21	gazzaniga	gazzaniga	PROPN
flr-13	82	22	,	,	PUNCT
flr-13	82	23	ivry	ivry	PROPN
flr-13	82	24	,	,	PUNCT
flr-13	82	25	&	&	CCONJ
flr-13	82	26	mangun	mangun	PROPN
flr-13	82	27	,	,	PUNCT
flr-13	82	28	2002	2002	NUM
flr-13	82	29	)	)	PUNCT
flr-13	82	30	,	,	PUNCT
flr-13	82	31	it	it	PRON
flr-13	82	32	is	be	AUX
flr-13	82	33	the	the	DET
flr-13	82	34	shifting	shifting	NOUN
flr-13	82	35	of	of	ADP
flr-13	82	36	the	the	DET
flr-13	82	37	processing	processing	NOUN
flr-13	82	38	capacity	capacity	NOUN
flr-13	82	39	and	and	CCONJ
flr-13	82	40	selection	selection	NOUN
flr-13	82	41	of	of	ADP
flr-13	82	42	stimuli	stimulus	NOUN
flr-13	82	43	to	to	PART
flr-13	82	44	attend	attend	VERB
flr-13	82	45	to	to	ADP
flr-13	82	46	,	,	PUNCT
flr-13	82	47	which	which	PRON
flr-13	82	48	constitute	constitute	VERB
flr-13	82	49	the	the	DET
flr-13	82	50	basic	basic	ADJ
flr-13	82	51	aspects	aspect	NOUN
flr-13	82	52	of	of	ADP
flr-13	82	53	our	our	PRON
flr-13	82	54	attentional	attentional	ADJ
flr-13	82	55	system	system	NOUN
flr-13	82	56	(	(	PUNCT
flr-13	82	57	redick	redick	NOUN
flr-13	82	58	&	&	CCONJ
flr-13	82	59	engle	engle	PROPN
flr-13	82	60	,	,	PUNCT
flr-13	82	61	2006	2006	NUM
flr-13	82	62	)	)	PUNCT
flr-13	82	63	.	.	PUNCT
flr-13	83	1	this	this	DET
flr-13	83	2	shifting	shifting	NOUN
flr-13	83	3	and	and	CCONJ
flr-13	83	4	selection	selection	NOUN
flr-13	83	5	of	of	ADP
flr-13	83	6	incoming	incoming	ADJ
flr-13	83	7	information	information	NOUN
flr-13	83	8	is	be	AUX
flr-13	83	9	the	the	DET
flr-13	83	10	function	function	NOUN
flr-13	83	11	of	of	ADP
flr-13	83	12	the	the	DET
flr-13	83	13	attentional	attentional	ADJ
flr-13	83	14	system	system	NOUN
flr-13	83	15	,	,	PUNCT
flr-13	83	16	which	which	PRON
flr-13	83	17	allows	allow	VERB
flr-13	83	18	us	we	PRON
flr-13	83	19	to	to	PART
flr-13	83	20	redirect	redirect	VERB
flr-13	83	21	our	our	PRON
flr-13	83	22	attention	attention	NOUN
flr-13	83	23	to	to	ADP
flr-13	83	24	the	the	DET
flr-13	83	25	relevant	relevant	ADJ
flr-13	83	26	aspects	aspect	NOUN
flr-13	83	27	of	of	ADP
flr-13	83	28	the	the	DET
flr-13	83	29	environmental	environmental	ADJ
flr-13	83	30	information	information	NOUN
flr-13	83	31	for	for	ADP
flr-13	83	32	the	the	DET
flr-13	83	33	task	task	NOUN
flr-13	83	34	or	or	CCONJ
flr-13	83	35	goals	goal	NOUN
flr-13	83	36	at	at	ADP
flr-13	83	37	hand	hand	NOUN
flr-13	83	38	.	.	PUNCT
flr-13	84	1	this	this	DET
flr-13	84	2	study	study	NOUN
flr-13	84	3	adopts	adopt	VERB
flr-13	84	4	the	the	DET
flr-13	84	5	framework	framework	NOUN
flr-13	84	6	of	of	ADP
flr-13	84	7	posner	posner	NOUN
flr-13	84	8	and	and	CCONJ
flr-13	84	9	petersen	petersen	PROPN
flr-13	84	10	(	(	PUNCT
flr-13	84	11	1990	1990	NUM
flr-13	84	12	)	)	PUNCT
flr-13	84	13	who	who	PRON
flr-13	84	14	described	describe	VERB
flr-13	84	15	three	three	NUM
flr-13	84	16	different	different	ADJ
flr-13	84	17	and	and	CCONJ
flr-13	84	18	semiindependent	semiindependent	ADJ
flr-13	84	19	attentional	attentional	ADJ
flr-13	84	20	networks	network	NOUN
flr-13	84	21	:	:	PUNCT
flr-13	84	22	orientation	orientation	NOUN
flr-13	84	23	,	,	PUNCT
flr-13	84	24	alertness	alertness	NOUN
flr-13	84	25	and	and	CCONJ
flr-13	84	26	executive	executive	ADJ
flr-13	84	27	attention	attention	NOUN
flr-13	84	28	.	.	PUNCT
flr-13	85	1	the	the	DET
flr-13	85	2	orienting	orient	VERB
flr-13	85	3	network	network	NOUN
flr-13	85	4	allows	allow	VERB
flr-13	85	5	the	the	DET
flr-13	85	6	selection	selection	NOUN
flr-13	85	7	of	of	ADP
flr-13	85	8	information	information	NOUN
flr-13	85	9	from	from	ADP
flr-13	85	10	sensory	sensory	ADJ
flr-13	85	11	input	input	NOUN
flr-13	85	12	,	,	PUNCT
flr-13	85	13	the	the	DET
flr-13	85	14	alerting	alert	VERB
flr-13	85	15	network	network	NOUN
flr-13	85	16	refers	refer	VERB
flr-13	85	17	to	to	ADP
flr-13	85	18	a	a	DET
flr-13	85	19	system	system	NOUN
flr-13	85	20	that	that	PRON
flr-13	85	21	achieves	achieve	VERB
flr-13	85	22	and	and	CCONJ
flr-13	85	23	maintains	maintain	VERB
flr-13	85	24	an	an	DET
flr-13	85	25	alert	alert	ADJ
flr-13	85	26	state	state	NOUN
flr-13	85	27	,	,	PUNCT
flr-13	85	28	and	and	CCONJ
flr-13	85	29	executive	executive	ADJ
flr-13	85	30	attention	attention	NOUN
flr-13	85	31	or	or	CCONJ
flr-13	85	32	executive	executive	ADJ
flr-13	85	33	control	control	NOUN
flr-13	85	34	is	be	AUX
flr-13	85	35	responsible	responsible	ADJ
flr-13	85	36	for	for	ADP
flr-13	85	37	resolving	resolve	VERB
flr-13	85	38	conflict	conflict	NOUN
flr-13	85	39	among	among	ADP
flr-13	85	40	responses	response	NOUN
flr-13	85	41	(	(	PUNCT
flr-13	85	42	fan	fan	NOUN
flr-13	85	43	,	,	PUNCT
flr-13	85	44	mccandliss	mccandlis	VERB
flr-13	85	45	,	,	PUNCT
flr-13	85	46	summer	summer	NOUN
flr-13	85	47	,	,	PUNCT
flr-13	85	48	raz	raz	NOUN
flr-13	85	49	,	,	PUNCT
flr-13	85	50	&	&	CCONJ
flr-13	85	51	posner	posner	NOUN
flr-13	85	52	,	,	PUNCT
flr-13	85	53	2002	2002	NUM
flr-13	85	54	)	)	PUNCT
flr-13	85	55	.	.	PUNCT
flr-13	86	1	the	the	DET
flr-13	86	2	efficiency	efficiency	NOUN
flr-13	86	3	of	of	ADP
flr-13	86	4	these	these	DET
flr-13	86	5	three	three	NUM
flr-13	86	6	attentional	attentional	ADJ
flr-13	86	7	networks	network	NOUN
flr-13	86	8	can	can	AUX
flr-13	86	9	be	be	AUX
flr-13	86	10	quantified	quantify	VERB
flr-13	86	11	by	by	ADP
flr-13	86	12	reaction	reaction	NOUN
flr-13	86	13	time	time	NOUN
flr-13	86	14	measures	measure	NOUN
flr-13	86	15	(	(	PUNCT
flr-13	86	16	fan	fan	NOUN
flr-13	86	17	et	et	PROPN
flr-13	86	18	al	al	PROPN
flr-13	86	19	.	.	PROPN
flr-13	86	20	,	,	PUNCT
flr-13	86	21	2002	2002	NUM
flr-13	86	22	)	)	PUNCT
flr-13	86	23	.	.	PUNCT
flr-13	87	1	redick	redick	NOUN
flr-13	87	2	and	and	CCONJ
flr-13	87	3	engle	engle	PROPN
flr-13	87	4	(	(	PUNCT
flr-13	87	5	2006	2006	NUM
flr-13	87	6	)	)	PUNCT
flr-13	87	7	and	and	CCONJ
flr-13	87	8	unsworth	unsworth	PROPN
flr-13	87	9	et	et	PROPN
flr-13	87	10	al	al	PROPN
flr-13	87	11	.	.	PROPN
flr-13	88	1	(	(	PUNCT
flr-13	88	2	2005	2005	NUM
flr-13	88	3	)	)	PUNCT
flr-13	88	4	have	have	AUX
flr-13	88	5	found	find	VERB
flr-13	88	6	that	that	SCONJ
flr-13	88	7	individual	individual	ADJ
flr-13	88	8	differences	difference	NOUN
flr-13	88	9	in	in	ADP
flr-13	88	10	working	working	NOUN
flr-13	88	11	memory	memory	NOUN
flr-13	88	12	capacity	capacity	NOUN
flr-13	88	13	are	be	AUX
flr-13	88	14	related	relate	VERB
flr-13	88	15	to	to	ADP
flr-13	88	16	those	those	PRON
flr-13	88	17	in	in	ADP
flr-13	88	18	attentional	attentional	ADJ
flr-13	88	19	control	control	NOUN
flr-13	88	20	,	,	PUNCT
flr-13	88	21	thus	thus	ADV
flr-13	88	22	establishing	establish	VERB
flr-13	88	23	that	that	SCONJ
flr-13	88	24	the	the	DET
flr-13	88	25	executive	executive	ADJ
flr-13	88	26	control	control	NOUN
flr-13	88	27	mechanism	mechanism	NOUN
flr-13	88	28	is	be	AUX
flr-13	88	29	closely	closely	ADV
flr-13	88	30	related	relate	VERB
flr-13	88	31	to	to	ADP
flr-13	88	32	working	work	VERB
flr-13	88	33	memory	memory	NOUN
flr-13	88	34	capacity	capacity	NOUN
flr-13	88	35	.	.	PUNCT
flr-13	89	1	several	several	ADJ
flr-13	89	2	studies	study	NOUN
flr-13	89	3	have	have	AUX
flr-13	89	4	shown	show	VERB
flr-13	89	5	the	the	DET
flr-13	89	6	importance	importance	NOUN
flr-13	89	7	of	of	ADP
flr-13	89	8	attention	attention	NOUN
flr-13	89	9	as	as	ADP
flr-13	89	10	a	a	DET
flr-13	89	11	predictor	predictor	NOUN
flr-13	89	12	of	of	ADP
flr-13	89	13	general	general	ADJ
flr-13	89	14	academic	academic	ADJ
flr-13	89	15	performance	performance	NOUN
flr-13	89	16	(	(	PUNCT
flr-13	89	17	gsanger	gsanger	NOUN
flr-13	89	18	,	,	PUNCT
flr-13	89	19	homack	homack	NOUN
flr-13	89	20	,	,	PUNCT
flr-13	89	21	siekierski	siekierski	NOUN
flr-13	89	22	,	,	PUNCT
flr-13	89	23	&	&	CCONJ
flr-13	89	24	riccio	riccio	PROPN
flr-13	89	25	,	,	PUNCT
flr-13	89	26	2002	2002	NUM
flr-13	89	27	;	;	PUNCT
flr-13	89	28	kyndt	kyndt	PROPN
flr-13	89	29	et	et	PROPN
flr-13	89	30	al	al	PROPN
flr-13	89	31	.	.	PROPN
flr-13	89	32	,	,	PUNCT
flr-13	89	33	2012	2012	NUM
flr-13	89	34	,	,	PUNCT
flr-13	89	35	submitted	submit	VERB
flr-13	89	36	;	;	PUNCT
flr-13	89	37	riccio	riccio	PROPN
flr-13	89	38	,	,	PUNCT
flr-13	89	39	lee	lee	PROPN
flr-13	89	40	,	,	PUNCT
flr-13	89	41	romine	romine	PROPN
flr-13	89	42	,	,	PUNCT
flr-13	89	43	cash	cash	NOUN
flr-13	89	44	and	and	CCONJ
flr-13	89	45	davis	davis	PROPN
flr-13	89	46	,	,	PUNCT
flr-13	89	47	2002	2002	NUM
flr-13	89	48	)	)	PUNCT
flr-13	89	49	,	,	PUNCT
flr-13	89	50	reading	reading	NOUN
flr-13	89	51	(	(	PUNCT
flr-13	89	52	landerl	landerl	NOUN
flr-13	89	53	,	,	PUNCT
flr-13	89	54	2010	2010	NUM
flr-13	89	55	;	;	PUNCT
flr-13	89	56	lovett	lovett	PROPN
flr-13	89	57	,	,	PUNCT
flr-13	89	58	1979	1979	NUM
flr-13	89	59	)	)	PUNCT
flr-13	89	60	,	,	PUNCT
flr-13	89	61	mathematical	mathematical	ADJ
flr-13	89	62	performance	performance	NOUN
flr-13	89	63	(	(	PUNCT
flr-13	89	64	fernandez	fernandez	PROPN
flr-13	89	65	-	-	PUNCT
flr-13	89	66	castillo	castillo	PROPN
flr-13	89	67	&	&	CCONJ
flr-13	89	68	gutiérrez	gutiérrez	PROPN
flr-13	89	69	-	-	PUNCT
flr-13	89	70	rojas	rojas	PROPN
flr-13	89	71	,	,	PUNCT
flr-13	89	72	2009	2009	NUM
flr-13	89	73	;	;	PUNCT
flr-13	89	74	fletcher	fletcher	PROPN
flr-13	89	75	,	,	PUNCT
flr-13	89	76	2005	2005	NUM
flr-13	89	77	;	;	PUNCT
flr-13	89	78	musso	musso	PROPN
flr-13	89	79	et	et	PROPN
flr-13	89	80	al	al	PROPN
flr-13	89	81	.	.	PROPN
flr-13	89	82	,	,	PUNCT
flr-13	89	83	2012	2012	NUM
flr-13	89	84	)	)	PUNCT
flr-13	89	85	,	,	PUNCT
flr-13	89	86	and	and	CCONJ
flr-13	89	87	written	write	VERB
flr-13	89	88	expression	expression	NOUN
flr-13	89	89	(	(	PUNCT
flr-13	89	90	reid	reid	NOUN
flr-13	89	91	,	,	PUNCT
flr-13	89	92	2006	2006	NUM
flr-13	89	93	)	)	PUNCT
flr-13	89	94	.	.	PUNCT
flr-13	90	1	the	the	DET
flr-13	90	2	research	research	NOUN
flr-13	90	3	on	on	ADP
flr-13	90	4	learning	learn	VERB
flr-13	90	5	disorders	disorder	NOUN
flr-13	90	6	has	have	AUX
flr-13	90	7	found	find	VERB
flr-13	90	8	that	that	SCONJ
flr-13	90	9	attentional	attentional	ADJ
flr-13	90	10	problems	problem	NOUN
flr-13	90	11	are	be	AUX
flr-13	90	12	negatively	negatively	ADV
flr-13	90	13	associated	associate	VERB
flr-13	90	14	to	to	ADP
flr-13	90	15	academic	academic	ADJ
flr-13	90	16	achievement	achievement	NOUN
flr-13	90	17	(	(	PUNCT
flr-13	90	18	jimmerson	jimmerson	NOUN
flr-13	90	19	,	,	PUNCT
flr-13	90	20	dubrow	dubrow	NOUN
flr-13	90	21	,	,	PUNCT
flr-13	90	22	adam	adam	PROPN
flr-13	90	23	,	,	PUNCT
flr-13	90	24	gunnar	gunnar	PROPN
flr-13	90	25	,	,	PUNCT
flr-13	90	26	&	&	CCONJ
flr-13	90	27	bozoky	bozoky	PROPN
flr-13	90	28	2006	2006	NUM
flr-13	90	29	)	)	PUNCT
flr-13	90	30	.	.	PUNCT
flr-13	91	1	2.3	2.3	NUM
flr-13	91	2	learning	learning	NOUN
flr-13	91	3	strategies	strategy	NOUN
flr-13	91	4	and	and	CCONJ
flr-13	91	5	academic	academic	ADJ
flr-13	91	6	performance	performance	NOUN
flr-13	91	7	the	the	DET
flr-13	91	8	estimated	estimate	VERB
flr-13	91	9	level	level	NOUN
flr-13	91	10	of	of	ADP
flr-13	91	11	contribution	contribution	NOUN
flr-13	91	12	of	of	ADP
flr-13	91	13	basic	basic	ADJ
flr-13	91	14	cognitive	cognitive	ADJ
flr-13	91	15	processes	process	NOUN
flr-13	91	16	to	to	ADP
flr-13	91	17	the	the	DET
flr-13	91	18	determination	determination	NOUN
flr-13	91	19	of	of	ADP
flr-13	91	20	academic	academic	ADJ
flr-13	91	21	achievement	achievement	NOUN
flr-13	91	22	has	have	AUX
flr-13	91	23	shown	show	VERB
flr-13	91	24	considerable	considerable	ADJ
flr-13	91	25	variation	variation	NOUN
flr-13	91	26	,	,	PUNCT
flr-13	91	27	which	which	PRON
flr-13	91	28	ranges	range	VERB
flr-13	91	29	from	from	ADP
flr-13	91	30	a	a	DET
flr-13	91	31	moderate	moderate	ADJ
flr-13	91	32	to	to	ADP
flr-13	91	33	a	a	DET
flr-13	91	34	medium	medium	ADJ
flr-13	91	35	-	-	PUNCT
flr-13	91	36	high	high	ADJ
flr-13	91	37	effect	effect	NOUN
flr-13	91	38	(	(	PUNCT
flr-13	91	39	castejón	castejón	PROPN
flr-13	91	40	&	&	CCONJ
flr-13	91	41	navas	navas	PROPN
flr-13	91	42	,	,	PUNCT
flr-13	91	43	1992	1992	NUM
flr-13	91	44	;	;	PUNCT
flr-13	91	45	navas	navas	PROPN
flr-13	91	46	,	,	PUNCT
flr-13	91	47	sampascual	sampascual	NOUN
flr-13	91	48	,	,	PUNCT
flr-13	91	49	&	&	CCONJ
flr-13	91	50	santed	sante	VERB
flr-13	91	51	,	,	PUNCT
flr-13	91	52	2003	2003	NUM
flr-13	91	53	)	)	PUNCT
flr-13	91	54	.	.	PUNCT
flr-13	92	1	consequently	consequently	ADV
flr-13	92	2	,	,	PUNCT
flr-13	92	3	the	the	DET
flr-13	92	4	studies	study	NOUN
flr-13	92	5	focusing	focus	VERB
flr-13	92	6	on	on	ADP
flr-13	92	7	the	the	DET
flr-13	92	8	prediction	prediction	NOUN
flr-13	92	9	of	of	ADP
flr-13	92	10	academic	academic	ADJ
flr-13	92	11	performance	performance	NOUN
flr-13	92	12	have	have	AUX
flr-13	92	13	increasingly	increasingly	ADV
flr-13	92	14	included	include	VERB
flr-13	92	15	the	the	DET
flr-13	92	16	so	so	ADV
flr-13	92	17	-	-	PUNCT
flr-13	92	18	called	call	VERB
flr-13	92	19	non	non	ADJ
flr-13	92	20	-	-	ADJ
flr-13	92	21	cognitive	cognitive	ADJ
flr-13	92	22	variables	variable	NOUN
flr-13	92	23	such	such	ADJ
flr-13	92	24	as	as	ADP
flr-13	92	25	motivation	motivation	NOUN
flr-13	92	26	,	,	PUNCT
flr-13	92	27	attributions	attribution	NOUN
flr-13	92	28	,	,	PUNCT
flr-13	92	29	self	self	NOUN
flr-13	92	30	-	-	PUNCT
flr-13	92	31	concept	concept	NOUN
flr-13	92	32	,	,	PUNCT
flr-13	92	33	effort	effort	NOUN
flr-13	92	34	,	,	PUNCT
flr-13	92	35	goal	goal	NOUN
flr-13	92	36	orientation	orientation	NOUN
flr-13	92	37	,	,	PUNCT
flr-13	92	38	etc	etc	X
flr-13	92	39	.	.	X
flr-13	92	40	(	(	PUNCT
flr-13	92	41	e.g.	e.g.	ADV
flr-13	92	42	,	,	PUNCT
flr-13	92	43	fenollar	fenollar	ADJ
flr-13	92	44	et	et	PROPN
flr-13	92	45	al	al	PROPN
flr-13	92	46	.	.	PROPN
flr-13	92	47	,	,	PUNCT
flr-13	92	48	2007	2007	NUM
flr-13	92	49	;	;	PUNCT
flr-13	92	50	pintrich	pintrich	NOUN
flr-13	92	51	,	,	PUNCT
flr-13	92	52	2000	2000	NUM
flr-13	92	53	)	)	PUNCT
flr-13	92	54	.	.	PUNCT
flr-13	93	1	learning	learn	VERB
flr-13	93	2	strategies	strategy	NOUN
flr-13	93	3	(	(	PUNCT
flr-13	93	4	ls	ls	PROPN
flr-13	93	5	)	)	PUNCT
flr-13	93	6	have	have	AUX
flr-13	93	7	been	be	AUX
flr-13	93	8	defined	define	VERB
flr-13	93	9	as	as	ADP
flr-13	93	10	student‟s	student‟s	ADV
flr-13	93	11	actual	actual	ADJ
flr-13	93	12	behaviours	behaviour	NOUN
flr-13	93	13	,	,	PUNCT
flr-13	93	14	in	in	ADP
flr-13	93	15	a	a	DET
flr-13	93	16	specific	specific	ADJ
flr-13	93	17	context	context	NOUN
flr-13	93	18	,	,	PUNCT
flr-13	93	19	to	to	PART
flr-13	93	20	engage	engage	VERB
flr-13	93	21	in	in	ADP
flr-13	93	22	a	a	DET
flr-13	93	23	task	task	NOUN
flr-13	93	24	(	(	PUNCT
flr-13	93	25	biggs	biggs	PROPN
flr-13	93	26	,	,	PUNCT
flr-13	93	27	1987	1987	NUM
flr-13	93	28	)	)	PUNCT
flr-13	93	29	.	.	PUNCT
flr-13	94	1	other	other	ADJ
flr-13	94	2	researchers	researcher	NOUN
flr-13	94	3	describe	describe	VERB
flr-13	94	4	ls	l	NOUN
flr-13	94	5	as	as	ADP
flr-13	94	6	any	any	DET
flr-13	94	7	thoughts	thought	NOUN
flr-13	94	8	or	or	CCONJ
flr-13	94	9	behaviours	behaviour	NOUN
flr-13	94	10	that	that	PRON
flr-13	94	11	help	help	VERB
flr-13	94	12	the	the	DET
flr-13	94	13	students	student	NOUN
flr-13	94	14	to	to	PART
flr-13	94	15	acquire	acquire	VERB
flr-13	94	16	new	new	ADJ
flr-13	94	17	information	information	NOUN
flr-13	94	18	and	and	CCONJ
flr-13	94	19	integrate	integrate	VERB
flr-13	94	20	this	this	DET
flr-13	94	21	new	new	ADJ
flr-13	94	22	information	information	NOUN
flr-13	94	23	with	with	ADP
flr-13	94	24	their	their	PRON
flr-13	94	25	existing	exist	VERB
flr-13	94	26	knowledge	knowledge	NOUN
flr-13	94	27	(	(	PUNCT
flr-13	94	28	weinstein	weinstein	PROPN
flr-13	94	29	&	&	CCONJ
flr-13	94	30	mayer	mayer	PROPN
flr-13	94	31	,	,	PUNCT
flr-13	94	32	1986	1986	NUM
flr-13	94	33	;	;	PUNCT
flr-13	94	34	weinstein	weinstein	PROPN
flr-13	94	35	,	,	PUNCT
flr-13	94	36	palmer	palmer	PROPN
flr-13	94	37	,	,	PUNCT
flr-13	94	38	&	&	CCONJ
flr-13	94	39	schulte	schulte	PROPN
flr-13	94	40	,	,	PUNCT
flr-13	94	41	1987	1987	NUM
flr-13	94	42	;	;	PUNCT
flr-13	94	43	weinstein	weinstein	PROPN
flr-13	94	44	,	,	PUNCT
flr-13	94	45	schulte	schulte	PROPN
flr-13	94	46	&	&	CCONJ
flr-13	94	47	cascallar	cascallar	PROPN
flr-13	94	48	,	,	PUNCT
flr-13	94	49	1982	1982	NUM
flr-13	94	50	)	)	PUNCT
flr-13	94	51	.	.	PUNCT
flr-13	95	1	ls	ls	PROPN
flr-13	95	2	also	also	ADV
flr-13	95	3	help	help	VERB
flr-13	95	4	students	student	NOUN
flr-13	95	5	retrieve	retrieve	VERB
flr-13	95	6	stored	store	VERB
flr-13	95	7	information	information	NOUN
flr-13	95	8	.	.	PUNCT
flr-13	96	1	examples	example	NOUN
flr-13	96	2	of	of	ADP
flr-13	96	3	ls	ls	PROPN
flr-13	96	4	include	include	VERB
flr-13	96	5	summarizing	summarize	VERB
flr-13	96	6	,	,	PUNCT
flr-13	96	7	paraphrasing	paraphrasing	NOUN
flr-13	96	8	,	,	PUNCT
flr-13	96	9	imaging	imaging	NOUN
flr-13	96	10	,	,	PUNCT
flr-13	96	11	creating	create	VERB
flr-13	96	12	analogies	analogy	NOUN
flr-13	96	13	,	,	PUNCT
flr-13	96	14	note	note	NOUN
flr-13	96	15	-	-	PUNCT
flr-13	96	16	taking	taking	NOUN
flr-13	96	17	,	,	PUNCT
flr-13	96	18	and	and	CCONJ
flr-13	96	19	outlining	outline	VERB
flr-13	96	20	(	(	PUNCT
flr-13	96	21	weinstein	weinstein	PROPN
flr-13	96	22	et	et	PROPN
flr-13	96	23	al	al	PROPN
flr-13	96	24	.	.	PROPN
flr-13	96	25	,	,	PUNCT
flr-13	96	26	1987	1987	NUM
flr-13	96	27	)	)	PUNCT
flr-13	96	28	.	.	PUNCT
flr-13	97	1	previous	previous	ADJ
flr-13	97	2	research	research	NOUN
flr-13	97	3	has	have	AUX
flr-13	97	4	provided	provide	VERB
flr-13	97	5	support	support	NOUN
flr-13	97	6	for	for	ADP
flr-13	97	7	the	the	DET
flr-13	97	8	mediating	mediate	VERB
flr-13	97	9	role	role	NOUN
flr-13	97	10	of	of	ADP
flr-13	97	11	learning	learn	VERB
flr-13	97	12	strategies	strategy	NOUN
flr-13	97	13	(	(	PUNCT
flr-13	97	14	dupeyrat	dupeyrat	PROPN
flr-13	97	15	&	&	CCONJ
flr-13	97	16	marine	marine	PROPN
flr-13	97	17	,	,	PUNCT
flr-13	97	18	2005	2005	NUM
flr-13	97	19	;	;	PUNCT
flr-13	97	20	fenollar	fenollar	ADJ
flr-13	97	21	et	et	PROPN
flr-13	97	22	al	al	PROPN
flr-13	97	23	.	.	PROPN
flr-13	97	24	,	,	PUNCT
flr-13	97	25	2007	2007	NUM
flr-13	97	26	;	;	PUNCT
flr-13	97	27	simons	simon	NOUN
flr-13	97	28	,	,	PUNCT
flr-13	97	29	dewitte	dewitte	NOUN
flr-13	97	30	,	,	PUNCT
flr-13	97	31	&	&	CCONJ
flr-13	97	32	lens	lens	PROPN
flr-13	97	33	,	,	PUNCT
flr-13	97	34	2004	2004	NUM
flr-13	97	35	)	)	PUNCT
flr-13	97	36	.	.	PUNCT
flr-13	98	1	fenollar	fenollar	ADJ
flr-13	98	2	et	et	PROPN
flr-13	98	3	al	al	PROPN
flr-13	98	4	.	.	PUNCT
flr-13	99	1	(	(	PUNCT
flr-13	99	2	2007	2007	NUM
flr-13	99	3	)	)	PUNCT
flr-13	99	4	have	have	AUX
flr-13	99	5	compared	compare	VERB
flr-13	99	6	a	a	DET
flr-13	99	7	theoretical	theoretical	ADJ
flr-13	99	8	model	model	NOUN
flr-13	99	9	,	,	PUNCT
flr-13	99	10	where	where	SCONJ
flr-13	99	11	achievement	achievement	NOUN
flr-13	99	12	goals	goal	NOUN
flr-13	99	13	and	and	CCONJ
flr-13	99	14	self	self	NOUN
flr-13	99	15	-	-	PUNCT
flr-13	99	16	efficacy	efficacy	NOUN
flr-13	99	17	were	be	AUX
flr-13	99	18	hypothesised	hypothesise	VERB
flr-13	99	19	to	to	PART
flr-13	99	20	have	have	VERB
flr-13	99	21	direct	direct	ADJ
flr-13	99	22	effects	effect	NOUN
flr-13	99	23	on	on	ADP
flr-13	99	24	academic	academic	ADJ
flr-13	99	25	performance	performance	NOUN
flr-13	99	26	,	,	PUNCT
flr-13	99	27	to	to	ADP
flr-13	99	28	a	a	DET
flr-13	99	29	mediating	mediate	VERB
flr-13	99	30	model	model	NOUN
flr-13	99	31	where	where	SCONJ
flr-13	99	32	such	such	ADJ
flr-13	99	33	effects	effect	NOUN
flr-13	99	34	were	be	AUX
flr-13	99	35	mediated	mediate	VERB
flr-13	99	36	through	through	ADP
flr-13	99	37	study	study	NOUN
flr-13	99	38	strategies	strategy	NOUN
flr-13	99	39	.	.	PUNCT
flr-13	100	1	results	result	NOUN
flr-13	100	2	from	from	ADP
flr-13	100	3	the	the	DET
flr-13	100	4	study	study	NOUN
flr-13	100	5	showed	show	VERB
flr-13	100	6	that	that	SCONJ
flr-13	100	7	achievement	achievement	NOUN
flr-13	100	8	goals	goal	NOUN
flr-13	100	9	and	and	CCONJ
flr-13	100	10	self	self	NOUN
flr-13	100	11	-	-	PUNCT
flr-13	100	12	efficacy	efficacy	NOUN
flr-13	100	13	have	have	VERB
flr-13	100	14	no	no	DET
flr-13	100	15	direct	direct	ADJ
flr-13	100	16	effects	effect	NOUN
flr-13	100	17	on	on	ADP
flr-13	100	18	performance	performance	NOUN
flr-13	100	19	,	,	PUNCT
flr-13	100	20	and	and	CCONJ
flr-13	100	21	they	they	PRON
flr-13	100	22	suggest	suggest	VERB
flr-13	100	23	that	that	SCONJ
flr-13	100	24	the	the	DET
flr-13	100	25	mediating	mediating	NOUN
flr-13	100	26	model	model	NOUN
flr-13	100	27	provides	provide	VERB
flr-13	100	28	a	a	DET
flr-13	100	29	better	well	ADJ
flr-13	100	30	fit	fit	NOUN
flr-13	100	31	to	to	ADP
flr-13	100	32	the	the	DET
flr-13	100	33	data	datum	NOUN
flr-13	100	34	(	(	PUNCT
flr-13	100	35	fenollar	fenollar	PROPN
flr-13	100	36	et	et	PROPN
flr-13	100	37	al	al	PROPN
flr-13	100	38	.	.	PROPN
flr-13	100	39	,	,	PUNCT
flr-13	100	40	2007	2007	NUM
flr-13	100	41	)	)	PUNCT
flr-13	100	42	.	.	PUNCT
flr-13	101	1	2.4	2.4	NUM
flr-13	101	2	artificial	artificial	ADJ
flr-13	101	3	neural	neural	ADJ
flr-13	101	4	networks	network	NOUN
flr-13	101	5	and	and	CCONJ
flr-13	101	6	performance	performance	NOUN
flr-13	101	7	conceptually	conceptually	ADV
flr-13	101	8	,	,	PUNCT
flr-13	101	9	a	a	DET
flr-13	101	10	neural	neural	ADJ
flr-13	101	11	network	network	NOUN
flr-13	101	12	is	be	AUX
flr-13	101	13	a	a	DET
flr-13	101	14	computational	computational	ADJ
flr-13	101	15	structure	structure	NOUN
flr-13	101	16	consisting	consist	VERB
flr-13	101	17	of	of	ADP
flr-13	101	18	several	several	ADJ
flr-13	101	19	highly	highly	ADV
flr-13	101	20	interconnected	interconnected	ADJ
flr-13	101	21	computational	computational	ADJ
flr-13	101	22	elements	element	NOUN
flr-13	101	23	,	,	PUNCT
flr-13	101	24	known	know	VERB
flr-13	101	25	as	as	ADP
flr-13	101	26	neurons	neuron	NOUN
flr-13	101	27	,	,	PUNCT
flr-13	101	28	perceptrons	perceptron	NOUN
flr-13	101	29	,	,	PUNCT
flr-13	101	30	or	or	CCONJ
flr-13	101	31	nodes	node	NOUN
flr-13	101	32	.	.	PUNCT
flr-13	102	1	each	each	DET
flr-13	102	2	“	"	PUNCT
flr-13	102	3	neuron	neuron	NOUN
flr-13	102	4	”	"	PUNCT
flr-13	102	5	or	or	CCONJ
flr-13	102	6	unit	unit	NOUN
flr-13	102	7	carries	carry	VERB
flr-13	102	8	out	out	ADP
flr-13	102	9	a	a	DET
flr-13	102	10	very	very	ADV
flr-13	102	11	simple	simple	ADJ
flr-13	102	12	operation	operation	NOUN
flr-13	102	13	on	on	ADP
flr-13	102	14	its	its	PRON
flr-13	102	15	inputs	input	NOUN
flr-13	102	16	and	and	CCONJ
flr-13	102	17	transfers	transfer	VERB
flr-13	102	18	the	the	DET
flr-13	102	19	output	output	NOUN
flr-13	102	20	to	to	ADP
flr-13	102	21	a	a	DET
flr-13	102	22	subsequent	subsequent	ADJ
flr-13	102	23	node	node	NOUN
flr-13	102	24	or	or	CCONJ
flr-13	102	25	nodes	node	NOUN
flr-13	102	26	in	in	ADP
flr-13	102	27	the	the	DET
flr-13	102	28	network	network	NOUN
flr-13	102	29	topology	topology	NOUN
flr-13	102	30	(	(	PUNCT
flr-13	102	31	specht	specht	NOUN
flr-13	102	32	,	,	PUNCT
flr-13	102	33	1991	1991	NUM
flr-13	102	34	)	)	PUNCT
flr-13	102	35	.	.	PUNCT
flr-13	103	1	neural	neural	ADJ
flr-13	103	2	networks	network	NOUN
flr-13	103	3	exhibit	exhibit	VERB
flr-13	103	4	polymorphism	polymorphism	NOUN
flr-13	103	5	in	in	ADP
flr-13	103	6	structure	structure	NOUN
flr-13	103	7	and	and	CCONJ
flr-13	103	8	parallelism	parallelism	NOUN
flr-13	103	9	in	in	ADP
flr-13	103	10	computation	computation	NOUN
flr-13	103	11	(	(	PUNCT
flr-13	103	12	mavrovouniotis	mavrovouniotis	PROPN
flr-13	103	13	&	&	CCONJ
flr-13	103	14	chang	chang	PROPN
flr-13	103	15	,	,	PUNCT
flr-13	103	16	1992	1992	NUM
flr-13	103	17	)	)	PUNCT
flr-13	103	18	,	,	PUNCT
flr-13	103	19	and	and	CCONJ
flr-13	103	20	it	it	PRON
flr-13	103	21	can	can	AUX
flr-13	103	22	be	be	AUX
flr-13	103	23	represented	represent	VERB
flr-13	103	24	as	as	ADP
flr-13	103	25	a	a	DET
flr-13	103	26	highly	highly	ADV
flr-13	103	27	interconnected	interconnected	ADJ
flr-13	103	28	structure	structure	NOUN
flr-13	103	29	of	of	ADP
flr-13	103	30	processing	processing	NOUN
flr-13	103	31	elements	element	NOUN
flr-13	103	32	with	with	ADP
flr-13	103	33	parallel	parallel	ADJ
flr-13	103	34	computation	computation	NOUN
flr-13	103	35	capabilities	capability	NOUN
flr-13	103	36	(	(	PUNCT
flr-13	103	37	grossberg	grossberg	PROPN
flr-13	103	38	,	,	PUNCT
flr-13	103	39	1980	1980	NUM
flr-13	103	40	,	,	PUNCT
flr-13	103	41	1982	1982	NUM
flr-13	103	42	;	;	PUNCT
flr-13	103	43	rumelhart	rumelhart	PROPN
flr-13	103	44	,	,	PUNCT
flr-13	103	45	hinton	hinton	PROPN
flr-13	103	46	,	,	PUNCT
flr-13	103	47	&	&	CCONJ
flr-13	103	48	m.	m.	PROPN
flr-13	103	49	f.	f.	PROPN
flr-13	103	50	musso	musso	PROPN
flr-13	103	51	et	et	PROPN
flr-13	103	52	al	al	PROPN
flr-13	103	53	.	.	PROPN
flr-13	104	1	47	47	NUM
flr-13	105	1	|	|	ADV
flr-13	105	2	f	f	NOUN
flr-13	105	3	l	l	NOUN
flr-13	105	4	r	r	NOUN
flr-13	105	5	williams	williams	PROPN
flr-13	105	6	,	,	PUNCT
flr-13	105	7	1986	1986	NUM
flr-13	105	8	;	;	PUNCT
flr-13	105	9	rumelhart	rumelhart	PROPN
flr-13	105	10	,	,	PUNCT
flr-13	105	11	mcclelland	mcclelland	PROPN
flr-13	105	12	,	,	PUNCT
flr-13	105	13	&	&	CCONJ
flr-13	105	14	the	the	DET
flr-13	105	15	pdp	pdp	PROPN
flr-13	105	16	research	research	NOUN
flr-13	105	17	group	group	NOUN
flr-13	105	18	,	,	PUNCT
flr-13	105	19	1986	1986	NUM
flr-13	105	20	)	)	PUNCT
flr-13	105	21	.	.	PUNCT
flr-13	106	1	in	in	ADP
flr-13	106	2	general	general	ADJ
flr-13	106	3	,	,	PUNCT
flr-13	106	4	an	an	DET
flr-13	106	5	ann	ann	PROPN
flr-13	106	6	consists	consist	VERB
flr-13	106	7	of	of	ADP
flr-13	106	8	an	an	DET
flr-13	106	9	input	input	NOUN
flr-13	106	10	layer	layer	NOUN
flr-13	106	11	(	(	PUNCT
flr-13	106	12	which	which	PRON
flr-13	106	13	can	can	AUX
flr-13	106	14	be	be	AUX
flr-13	106	15	considered	consider	VERB
flr-13	106	16	the	the	DET
flr-13	106	17	independent	independent	ADJ
flr-13	106	18	variables	variable	NOUN
flr-13	106	19	)	)	PUNCT
flr-13	106	20	,	,	PUNCT
flr-13	106	21	one	one	NUM
flr-13	106	22	or	or	CCONJ
flr-13	106	23	more	more	ADV
flr-13	106	24	hidden	hidden	ADJ
flr-13	106	25	layers	layer	NOUN
flr-13	106	26	,	,	PUNCT
flr-13	106	27	and	and	CCONJ
flr-13	106	28	an	an	DET
flr-13	106	29	output	output	NOUN
flr-13	106	30	layer	layer	NOUN
flr-13	106	31	that	that	PRON
flr-13	106	32	is	be	AUX
flr-13	106	33	comparable	comparable	ADJ
flr-13	106	34	to	to	ADP
flr-13	106	35	a	a	DET
flr-13	106	36	categorical	categorical	ADJ
flr-13	106	37	dependent	dependent	ADJ
flr-13	106	38	variable	variable	NOUN
flr-13	106	39	(	(	PUNCT
flr-13	106	40	cascallar	cascallar	PROPN
flr-13	106	41	et	et	PROPN
flr-13	106	42	al	al	PROPN
flr-13	106	43	.	.	PROPN
flr-13	106	44	,	,	PUNCT
flr-13	106	45	2006	2006	NUM
flr-13	106	46	;	;	PUNCT
flr-13	106	47	garson	garson	PROPN
flr-13	106	48	,	,	PUNCT
flr-13	106	49	1998	1998	NUM
flr-13	106	50	)	)	PUNCT
flr-13	106	51	.	.	PUNCT
flr-13	107	1	all	all	DET
flr-13	107	2	ann	ann	PROPN
flr-13	107	3	process	process	NOUN
flr-13	107	4	data	datum	NOUN
flr-13	107	5	through	through	ADP
flr-13	107	6	multiple	multiple	ADJ
flr-13	107	7	processing	processing	NOUN
flr-13	107	8	entities	entity	NOUN
flr-13	107	9	which	which	PRON
flr-13	107	10	learn	learn	VERB
flr-13	107	11	and	and	CCONJ
flr-13	107	12	adapt	adapt	VERB
flr-13	107	13	according	accord	VERB
flr-13	107	14	to	to	ADP
flr-13	107	15	patterns	pattern	NOUN
flr-13	107	16	of	of	ADP
flr-13	107	17	inputs	input	NOUN
flr-13	107	18	presented	present	VERB
flr-13	107	19	to	to	ADP
flr-13	107	20	them	they	PRON
flr-13	107	21	,	,	PUNCT
flr-13	107	22	by	by	ADP
flr-13	107	23	constructing	construct	VERB
flr-13	107	24	a	a	DET
flr-13	107	25	unique	unique	ADJ
flr-13	107	26	mathematical	mathematical	ADJ
flr-13	107	27	relationship	relationship	NOUN
flr-13	107	28	for	for	ADP
flr-13	107	29	a	a	DET
flr-13	107	30	given	give	VERB
flr-13	107	31	pattern	pattern	NOUN
flr-13	107	32	of	of	ADP
flr-13	107	33	input	input	NOUN
flr-13	107	34	data	data	NOUN
flr-13	107	35	sets	set	NOUN
flr-13	107	36	on	on	ADP
flr-13	107	37	the	the	DET
flr-13	107	38	basis	basis	NOUN
flr-13	107	39	of	of	ADP
flr-13	107	40	the	the	DET
flr-13	107	41	match	match	NOUN
flr-13	107	42	of	of	ADP
flr-13	107	43	the	the	DET
flr-13	107	44	explanatory	explanatory	ADJ
flr-13	107	45	variables	variable	NOUN
flr-13	107	46	to	to	ADP
flr-13	107	47	the	the	DET
flr-13	107	48	outcomes	outcome	NOUN
flr-13	107	49	for	for	ADP
flr-13	107	50	each	each	DET
flr-13	107	51	case	case	NOUN
flr-13	107	52	(	(	PUNCT
flr-13	107	53	marshall	marshall	PROPN
flr-13	107	54	&	&	CCONJ
flr-13	107	55	english	english	PROPN
flr-13	107	56	,	,	PUNCT
flr-13	107	57	2000	2000	NUM
flr-13	107	58	)	)	PUNCT
flr-13	107	59	.	.	PUNCT
flr-13	108	1	thus	thus	ADV
flr-13	108	2	,	,	PUNCT
flr-13	108	3	neural	neural	ADJ
flr-13	108	4	networks	network	NOUN
flr-13	108	5	construct	construct	VERB
flr-13	108	6	a	a	DET
flr-13	108	7	mathematical	mathematical	ADJ
flr-13	108	8	relationship	relationship	NOUN
flr-13	108	9	by	by	ADP
flr-13	108	10	“	"	PUNCT
flr-13	108	11	learning	learn	VERB
flr-13	108	12	”	"	PUNCT
flr-13	108	13	the	the	DET
flr-13	108	14	patterns	pattern	NOUN
flr-13	108	15	of	of	ADP
flr-13	108	16	all	all	DET
flr-13	108	17	inputs	input	NOUN
flr-13	108	18	from	from	ADP
flr-13	108	19	each	each	PRON
flr-13	108	20	of	of	ADP
flr-13	108	21	the	the	DET
flr-13	108	22	individual	individual	ADJ
flr-13	108	23	cases	case	NOUN
flr-13	108	24	used	use	VERB
flr-13	108	25	in	in	ADP
flr-13	108	26	training	train	VERB
flr-13	108	27	the	the	DET
flr-13	108	28	network	network	NOUN
flr-13	108	29	,	,	PUNCT
flr-13	108	30	while	while	SCONJ
flr-13	108	31	more	more	ADV
flr-13	108	32	traditional	traditional	ADJ
flr-13	108	33	approaches	approach	NOUN
flr-13	108	34	assume	assume	VERB
flr-13	108	35	a	a	DET
flr-13	108	36	particular	particular	ADJ
flr-13	108	37	form	form	NOUN
flr-13	108	38	of	of	ADP
flr-13	108	39	relationship	relationship	NOUN
flr-13	108	40	between	between	ADP
flr-13	108	41	explanatory	explanatory	ADJ
flr-13	108	42	and	and	CCONJ
flr-13	108	43	outcome	outcome	NOUN
flr-13	108	44	variables	variable	NOUN
flr-13	108	45	and	and	CCONJ
flr-13	108	46	then	then	ADV
flr-13	108	47	use	use	VERB
flr-13	108	48	a	a	DET
flr-13	108	49	variety	variety	NOUN
flr-13	108	50	of	of	ADP
flr-13	108	51	fitting	fitting	ADJ
flr-13	108	52	procedures	procedure	NOUN
flr-13	108	53	to	to	PART
flr-13	108	54	adjust	adjust	VERB
flr-13	108	55	the	the	DET
flr-13	108	56	values	value	NOUN
flr-13	108	57	of	of	ADP
flr-13	108	58	the	the	DET
flr-13	108	59	parameters	parameter	NOUN
flr-13	108	60	in	in	ADP
flr-13	108	61	the	the	DET
flr-13	108	62	model	model	NOUN
flr-13	108	63	.	.	PUNCT
flr-13	109	1	during	during	ADP
flr-13	109	2	the	the	DET
flr-13	109	3	training	training	NOUN
flr-13	109	4	phase	phase	NOUN
flr-13	109	5	,	,	PUNCT
flr-13	109	6	anns	ann	NOUN
flr-13	109	7	generate	generate	VERB
flr-13	109	8	a	a	DET
flr-13	109	9	predicted	predict	VERB
flr-13	109	10	outcome	outcome	NOUN
flr-13	109	11	for	for	ADP
flr-13	109	12	each	each	DET
flr-13	109	13	case	case	NOUN
flr-13	109	14	,	,	PUNCT
flr-13	109	15	and	and	CCONJ
flr-13	109	16	when	when	SCONJ
flr-13	109	17	this	this	DET
flr-13	109	18	prediction	prediction	NOUN
flr-13	109	19	is	be	AUX
flr-13	109	20	incorrect	incorrect	ADJ
flr-13	109	21	the	the	DET
flr-13	109	22	network	network	NOUN
flr-13	109	23	makes	make	VERB
flr-13	109	24	adjustments	adjustment	NOUN
flr-13	109	25	to	to	ADP
flr-13	109	26	the	the	DET
flr-13	109	27	weights	weight	NOUN
flr-13	109	28	of	of	ADP
flr-13	109	29	the	the	DET
flr-13	109	30	mathematical	mathematical	ADJ
flr-13	109	31	relationships	relationship	NOUN
flr-13	109	32	among	among	ADP
flr-13	109	33	the	the	DET
flr-13	109	34	predictors	predictor	NOUN
flr-13	109	35	and	and	CCONJ
flr-13	109	36	with	with	ADP
flr-13	109	37	the	the	DET
flr-13	109	38	expected	expect	VERB
flr-13	109	39	outcome	outcome	NOUN
flr-13	109	40	,	,	PUNCT
flr-13	109	41	weights	weight	NOUN
flr-13	109	42	that	that	PRON
flr-13	109	43	are	be	AUX
flr-13	109	44	represented	represent	VERB
flr-13	109	45	in	in	ADP
flr-13	109	46	the	the	DET
flr-13	109	47	hidden	hidden	ADJ
flr-13	109	48	layers	layer	NOUN
flr-13	109	49	of	of	ADP
flr-13	109	50	the	the	DET
flr-13	109	51	network	network	NOUN
flr-13	109	52	.	.	PUNCT
flr-13	110	1	the	the	DET
flr-13	110	2	predicted	predict	VERB
flr-13	110	3	output	output	NOUN
flr-13	110	4	is	be	AUX
flr-13	110	5	a	a	DET
flr-13	110	6	continuous	continuous	ADJ
flr-13	110	7	variable	variable	NOUN
flr-13	110	8	with	with	ADP
flr-13	110	9	a	a	DET
flr-13	110	10	specific	specific	ADJ
flr-13	110	11	value	value	NOUN
flr-13	110	12	for	for	ADP
flr-13	110	13	each	each	DET
flr-13	110	14	case	case	NOUN
flr-13	110	15	(	(	PUNCT
flr-13	110	16	or	or	CCONJ
flr-13	110	17	subject	subject	NOUN
flr-13	110	18	)	)	PUNCT
flr-13	110	19	which	which	PRON
flr-13	110	20	includes	include	VERB
flr-13	110	21	information	information	NOUN
flr-13	110	22	on	on	ADP
flr-13	110	23	the	the	DET
flr-13	110	24	probability	probability	NOUN
flr-13	110	25	of	of	ADP
flr-13	110	26	belonging	belong	VERB
flr-13	110	27	to	to	ADP
flr-13	110	28	each	each	PRON
flr-13	110	29	of	of	ADP
flr-13	110	30	the	the	DET
flr-13	110	31	categorical	categorical	ADJ
flr-13	110	32	classifications	classification	NOUN
flr-13	110	33	requested	request	VERB
flr-13	110	34	by	by	ADP
flr-13	110	35	the	the	DET
flr-13	110	36	developer	developer	NOUN
flr-13	110	37	of	of	ADP
flr-13	110	38	the	the	DET
flr-13	110	39	ann	ann	PROPN
flr-13	110	40	.	.	PUNCT
flr-13	111	1	according	accord	VERB
flr-13	111	2	to	to	ADP
flr-13	111	3	this	this	DET
flr-13	111	4	architecture	architecture	NOUN
flr-13	111	5	,	,	PUNCT
flr-13	111	6	the	the	DET
flr-13	111	7	ann	ann	PROPN
flr-13	111	8	finally	finally	ADV
flr-13	111	9	recognizes	recognize	VERB
flr-13	111	10	patterns	pattern	NOUN
flr-13	111	11	and	and	CCONJ
flr-13	111	12	classifies	classify	VERB
flr-13	111	13	the	the	DET
flr-13	111	14	cases	case	NOUN
flr-13	111	15	presented	present	VERB
flr-13	111	16	into	into	ADP
flr-13	111	17	the	the	DET
flr-13	111	18	requested	request	VERB
flr-13	111	19	outcome	outcome	NOUN
flr-13	111	20	categories	category	NOUN
flr-13	111	21	,	,	PUNCT
flr-13	111	22	depending	depend	VERB
flr-13	111	23	on	on	ADP
flr-13	111	24	the	the	DET
flr-13	111	25	target	target	NOUN
flr-13	111	26	question	question	NOUN
flr-13	111	27	,	,	PUNCT
flr-13	111	28	and	and	CCONJ
flr-13	111	29	given	give	VERB
flr-13	111	30	the	the	DET
flr-13	111	31	individual	individual	ADJ
flr-13	111	32	probability	probability	NOUN
flr-13	111	33	values	value	NOUN
flr-13	111	34	for	for	ADP
flr-13	111	35	each	each	DET
flr-13	111	36	case	case	NOUN
flr-13	111	37	.	.	PUNCT
flr-13	112	1	this	this	DET
flr-13	112	2	information	information	NOUN
flr-13	112	3	is	be	AUX
flr-13	112	4	generated	generate	VERB
flr-13	112	5	by	by	ADP
flr-13	112	6	the	the	DET
flr-13	112	7	network	network	NOUN
flr-13	112	8	through	through	ADP
flr-13	112	9	many	many	ADJ
flr-13	112	10	iterations	iteration	NOUN
flr-13	112	11	,	,	PUNCT
flr-13	112	12	gradually	gradually	ADV
flr-13	112	13	changing	change	VERB
flr-13	112	14	and	and	CCONJ
flr-13	112	15	adjusting	adjust	VERB
flr-13	112	16	the	the	DET
flr-13	112	17	weights	weight	NOUN
flr-13	112	18	for	for	ADP
flr-13	112	19	all	all	DET
flr-13	112	20	the	the	DET
flr-13	112	21	interrelationships	interrelationship	NOUN
flr-13	112	22	between	between	ADP
flr-13	112	23	the	the	DET
flr-13	112	24	units	unit	NOUN
flr-13	112	25	after	after	ADP
flr-13	112	26	each	each	DET
flr-13	112	27	incorrect	incorrect	ADJ
flr-13	112	28	prediction	prediction	NOUN
flr-13	112	29	.	.	PUNCT
flr-13	113	1	during	during	ADP
flr-13	113	2	this	this	DET
flr-13	113	3	training	training	NOUN
flr-13	113	4	process	process	NOUN
flr-13	113	5	,	,	PUNCT
flr-13	113	6	the	the	DET
flr-13	113	7	network	network	NOUN
flr-13	113	8	becomes	become	VERB
flr-13	113	9	increasingly	increasingly	ADV
flr-13	113	10	accurate	accurate	ADJ
flr-13	113	11	in	in	ADP
flr-13	113	12	replicating	replicate	VERB
flr-13	113	13	the	the	DET
flr-13	113	14	known	know	VERB
flr-13	113	15	outcomes	outcome	NOUN
flr-13	113	16	from	from	ADP
flr-13	113	17	the	the	DET
flr-13	113	18	test	test	NOUN
flr-13	113	19	cases	case	NOUN
flr-13	113	20	.	.	PUNCT
flr-13	114	1	the	the	DET
flr-13	114	2	neural	neural	ADJ
flr-13	114	3	network	network	NOUN
flr-13	114	4	continues	continue	VERB
flr-13	114	5	to	to	PART
flr-13	114	6	improve	improve	VERB
flr-13	114	7	its	its	PRON
flr-13	114	8	predictions	prediction	NOUN
flr-13	114	9	until	until	SCONJ
flr-13	114	10	one	one	NUM
flr-13	114	11	or	or	CCONJ
flr-13	114	12	more	more	ADJ
flr-13	114	13	of	of	ADP
flr-13	114	14	the	the	DET
flr-13	114	15	pre	pre	ADJ
flr-13	114	16	-	-	ADJ
flr-13	114	17	determined	determined	ADJ
flr-13	114	18	stopping	stopping	NOUN
flr-13	114	19	criteria	criterion	NOUN
flr-13	114	20	have	have	AUX
flr-13	114	21	been	be	AUX
flr-13	114	22	met	meet	VERB
flr-13	114	23	.	.	PUNCT
flr-13	115	1	these	these	DET
flr-13	115	2	stopping	stop	VERB
flr-13	115	3	criteria	criterion	NOUN
flr-13	115	4	can	can	AUX
flr-13	115	5	be	be	AUX
flr-13	115	6	,	,	PUNCT
flr-13	115	7	for	for	ADP
flr-13	115	8	example	example	NOUN
flr-13	115	9	,	,	PUNCT
flr-13	115	10	a	a	DET
flr-13	115	11	minimum	minimum	ADJ
flr-13	115	12	level	level	NOUN
flr-13	115	13	of	of	ADP
flr-13	115	14	accuracy	accuracy	NOUN
flr-13	115	15	,	,	PUNCT
flr-13	115	16	learning	learn	VERB
flr-13	115	17	rate	rate	NOUN
flr-13	115	18	,	,	PUNCT
flr-13	115	19	persistency	persistency	NOUN
flr-13	115	20	,	,	PUNCT
flr-13	115	21	number	number	NOUN
flr-13	115	22	of	of	ADP
flr-13	115	23	iterations	iteration	NOUN
flr-13	115	24	,	,	PUNCT
flr-13	115	25	amount	amount	NOUN
flr-13	115	26	of	of	ADP
flr-13	115	27	time	time	NOUN
flr-13	115	28	,	,	PUNCT
flr-13	115	29	etc	etc	X
flr-13	115	30	.	.	X
flr-13	116	1	once	once	ADV
flr-13	116	2	trained	train	VERB
flr-13	116	3	,	,	PUNCT
flr-13	116	4	the	the	DET
flr-13	116	5	network	network	NOUN
flr-13	116	6	is	be	AUX
flr-13	116	7	tested	test	VERB
flr-13	116	8	with	with	ADP
flr-13	116	9	the	the	DET
flr-13	116	10	remaining	remain	VERB
flr-13	116	11	cases	case	NOUN
flr-13	116	12	in	in	ADP
flr-13	116	13	the	the	DET
flr-13	116	14	dataset	dataset	NOUN
flr-13	116	15	,	,	PUNCT
flr-13	116	16	which	which	PRON
flr-13	116	17	is	be	AUX
flr-13	116	18	considered	consider	VERB
flr-13	116	19	a	a	DET
flr-13	116	20	form	form	NOUN
flr-13	116	21	of	of	ADP
flr-13	116	22	validation	validation	NOUN
flr-13	116	23	of	of	ADP
flr-13	116	24	the	the	DET
flr-13	116	25	network	network	NOUN
flr-13	116	26	(	(	PUNCT
flr-13	116	27	testing	testing	NOUN
flr-13	116	28	phase	phase	NOUN
flr-13	116	29	)	)	PUNCT
flr-13	116	30	,	,	PUNCT
flr-13	116	31	by	by	ADP
flr-13	116	32	observing	observe	VERB
flr-13	116	33	how	how	SCONJ
flr-13	116	34	the	the	DET
flr-13	116	35	weights	weight	NOUN
flr-13	116	36	in	in	ADP
flr-13	116	37	the	the	DET
flr-13	116	38	model	model	NOUN
flr-13	116	39	,	,	PUNCT
flr-13	116	40	now	now	ADV
flr-13	116	41	fixed	fix	VERB
flr-13	116	42	to	to	ADP
flr-13	116	43	those	those	PRON
flr-13	116	44	obtained	obtain	VERB
flr-13	116	45	in	in	ADP
flr-13	116	46	the	the	DET
flr-13	116	47	training	training	NOUN
flr-13	116	48	phase	phase	NOUN
flr-13	116	49	,	,	PUNCT
flr-13	116	50	predict	predict	VERB
flr-13	116	51	classes	class	NOUN
flr-13	116	52	of	of	ADP
flr-13	116	53	outcomes	outcome	NOUN
flr-13	116	54	in	in	ADP
flr-13	116	55	a	a	DET
flr-13	116	56	new	new	ADJ
flr-13	116	57	set	set	NOUN
flr-13	116	58	of	of	ADP
flr-13	116	59	data	datum	NOUN
flr-13	116	60	of	of	ADP
flr-13	116	61	which	which	PRON
flr-13	116	62	outcomes	outcome	NOUN
flr-13	116	63	are	be	AUX
flr-13	116	64	known	know	VERB
flr-13	116	65	to	to	ADP
flr-13	116	66	the	the	DET
flr-13	116	67	experimenter	experimenter	NOUN
flr-13	116	68	but	but	CCONJ
flr-13	116	69	not	not	PART
flr-13	116	70	to	to	ADP
flr-13	116	71	the	the	DET
flr-13	116	72	ann	ann	PROPN
flr-13	116	73	system	system	NOUN
flr-13	116	74	.	.	PUNCT
flr-13	117	1	afterwards	afterwards	ADV
flr-13	117	2	it	it	PRON
flr-13	117	3	can	can	AUX
flr-13	117	4	also	also	ADV
flr-13	117	5	be	be	AUX
flr-13	117	6	applied	apply	VERB
flr-13	117	7	to	to	PART
flr-13	117	8	predict	predict	VERB
flr-13	117	9	future	future	ADJ
flr-13	117	10	cases	case	NOUN
flr-13	117	11	where	where	SCONJ
flr-13	117	12	the	the	DET
flr-13	117	13	outcome	outcome	NOUN
flr-13	117	14	is	be	AUX
flr-13	117	15	still	still	ADV
flr-13	117	16	unknown	unknown	ADJ
flr-13	117	17	(	(	PUNCT
flr-13	117	18	cascallar	cascallar	ADJ
flr-13	117	19	et	et	PROPN
flr-13	117	20	al	al	PROPN
flr-13	117	21	.	.	PROPN
flr-13	117	22	,	,	PUNCT
flr-13	117	23	2006	2006	NUM
flr-13	117	24	)	)	PUNCT
flr-13	117	25	.	.	PUNCT
flr-13	118	1	in	in	ADP
flr-13	118	2	addition	addition	NOUN
flr-13	118	3	,	,	PUNCT
flr-13	118	4	with	with	ADP
flr-13	118	5	complementary	complementary	ADJ
flr-13	118	6	techniques	technique	NOUN
flr-13	118	7	in	in	ADP
flr-13	118	8	predictive	predictive	ADJ
flr-13	118	9	stream	stream	NOUN
flr-13	118	10	analysis	analysis	NOUN
flr-13	118	11	,	,	PUNCT
flr-13	118	12	the	the	DET
flr-13	118	13	neural	neural	ADJ
flr-13	118	14	network	network	NOUN
flr-13	118	15	approach	approach	NOUN
flr-13	118	16	allows	allow	VERB
flr-13	118	17	us	we	PRON
flr-13	118	18	to	to	PART
flr-13	118	19	determine	determine	VERB
flr-13	118	20	the	the	DET
flr-13	118	21	predictive	predictive	ADJ
flr-13	118	22	power	power	NOUN
flr-13	118	23	of	of	ADP
flr-13	118	24	each	each	PRON
flr-13	118	25	of	of	ADP
flr-13	118	26	the	the	DET
flr-13	118	27	variables	variable	NOUN
flr-13	118	28	involved	involve	VERB
flr-13	118	29	in	in	ADP
flr-13	118	30	the	the	DET
flr-13	118	31	study	study	NOUN
flr-13	118	32	,	,	PUNCT
flr-13	118	33	providing	provide	VERB
flr-13	118	34	information	information	NOUN
flr-13	118	35	about	about	ADP
flr-13	118	36	the	the	DET
flr-13	118	37	importance	importance	NOUN
flr-13	118	38	of	of	ADP
flr-13	118	39	each	each	DET
flr-13	118	40	input	input	NOUN
flr-13	118	41	variable	variable	NOUN
flr-13	118	42	(	(	PUNCT
flr-13	118	43	cascallar	cascallar	PROPN
flr-13	118	44	et	et	PROPN
flr-13	118	45	al	al	PROPN
flr-13	118	46	.	.	PROPN
flr-13	118	47	,	,	PUNCT
flr-13	118	48	2006	2006	NUM
flr-13	118	49	;	;	PUNCT
flr-13	118	50	garson	garson	PROPN
flr-13	118	51	,	,	PUNCT
flr-13	118	52	1998	1998	NUM
flr-13	118	53	)	)	PUNCT
flr-13	118	54	.	.	PUNCT
flr-13	119	1	predictive	predictive	ADJ
flr-13	119	2	stream	stream	NOUN
flr-13	119	3	analyses	analysis	NOUN
flr-13	119	4	(	(	PUNCT
flr-13	119	5	cascallar	cascallar	ADJ
flr-13	119	6	&	&	CCONJ
flr-13	119	7	musso	musso	PROPN
flr-13	119	8	,	,	PUNCT
flr-13	119	9	2008	2008	NUM
flr-13	119	10	)	)	PUNCT
flr-13	119	11	,	,	PUNCT
flr-13	119	12	based	base	VERB
flr-13	119	13	in	in	ADP
flr-13	119	14	this	this	DET
flr-13	119	15	case	case	NOUN
flr-13	119	16	on	on	ADP
flr-13	119	17	neural	neural	ADJ
flr-13	119	18	network	network	NOUN
flr-13	119	19	(	(	PUNCT
flr-13	119	20	ann	ann	PROPN
flr-13	119	21	)	)	PUNCT
flr-13	119	22	models	model	NOUN
flr-13	119	23	,	,	PUNCT
flr-13	119	24	have	have	VERB
flr-13	119	25	several	several	ADJ
flr-13	119	26	strengths	strength	NOUN
flr-13	119	27	:	:	PUNCT
flr-13	119	28	(	(	PUNCT
flr-13	119	29	a	a	X
flr-13	119	30	)	)	PUNCT
flr-13	119	31	because	because	SCONJ
flr-13	119	32	these	these	PRON
flr-13	119	33	are	be	AUX
flr-13	119	34	machine	machine	NOUN
flr-13	119	35	learning	learn	VERB
flr-13	119	36	algorithms	algorithm	NOUN
flr-13	119	37	,	,	PUNCT
flr-13	119	38	the	the	DET
flr-13	119	39	assumptions	assumption	NOUN
flr-13	119	40	required	require	VERB
flr-13	119	41	for	for	ADP
flr-13	119	42	traditional	traditional	ADJ
flr-13	119	43	statistical	statistical	ADJ
flr-13	119	44	predictive	predictive	ADJ
flr-13	119	45	models	model	NOUN
flr-13	119	46	(	(	PUNCT
flr-13	119	47	e.g.	e.g.	ADV
flr-13	119	48	,	,	PUNCT
flr-13	119	49	ordinary	ordinary	ADJ
flr-13	119	50	least	least	ADJ
flr-13	119	51	squares	square	NOUN
flr-13	119	52	regression	regression	NOUN
flr-13	119	53	)	)	PUNCT
flr-13	119	54	are	be	AUX
flr-13	119	55	not	not	PART
flr-13	119	56	necessary	necessary	ADJ
flr-13	119	57	.	.	PUNCT
flr-13	120	1	as	as	ADP
flr-13	120	2	such	such	ADJ
flr-13	120	3	,	,	PUNCT
flr-13	120	4	this	this	DET
flr-13	120	5	technique	technique	NOUN
flr-13	120	6	is	be	AUX
flr-13	120	7	able	able	ADJ
flr-13	120	8	to	to	PART
flr-13	120	9	model	model	VERB
flr-13	120	10	nonlinear	nonlinear	ADJ
flr-13	120	11	and	and	CCONJ
flr-13	120	12	complex	complex	ADJ
flr-13	120	13	relationships	relationship	NOUN
flr-13	120	14	among	among	ADP
flr-13	120	15	variables	variable	NOUN
flr-13	120	16	.	.	PUNCT
flr-13	121	1	ann	ann	PROPN
flr-13	121	2	aim	aim	VERB
flr-13	121	3	to	to	PART
flr-13	121	4	maximize	maximize	VERB
flr-13	121	5	classification	classification	NOUN
flr-13	121	6	accuracy	accuracy	NOUN
flr-13	121	7	and	and	CCONJ
flr-13	121	8	work	work	VERB
flr-13	121	9	through	through	ADP
flr-13	121	10	the	the	DET
flr-13	121	11	data	datum	NOUN
flr-13	121	12	in	in	ADP
flr-13	121	13	an	an	DET
flr-13	121	14	interactive	interactive	ADJ
flr-13	121	15	process	process	NOUN
flr-13	121	16	until	until	SCONJ
flr-13	121	17	maximum	maximum	ADJ
flr-13	121	18	accuracy	accuracy	NOUN
flr-13	121	19	is	be	AUX
flr-13	121	20	achieved	achieve	VERB
flr-13	121	21	,	,	PUNCT
flr-13	121	22	automatically	automatically	ADV
flr-13	121	23	modelling	model	VERB
flr-13	121	24	all	all	DET
flr-13	121	25	interactions	interaction	NOUN
flr-13	121	26	among	among	ADP
flr-13	121	27	variables	variable	NOUN
flr-13	121	28	;	;	PUNCT
flr-13	121	29	(	(	PUNCT
flr-13	121	30	b	b	X
flr-13	121	31	)	)	PUNCT
flr-13	121	32	anns	ann	NOUN
flr-13	121	33	are	be	AUX
flr-13	121	34	robust	robust	ADJ
flr-13	121	35	,	,	PUNCT
flr-13	121	36	general	general	ADJ
flr-13	121	37	function	function	NOUN
flr-13	121	38	estimators	estimator	NOUN
flr-13	121	39	.	.	PUNCT
flr-13	122	1	they	they	PRON
flr-13	122	2	usually	usually	ADV
flr-13	122	3	perform	perform	VERB
flr-13	122	4	prediction	prediction	NOUN
flr-13	122	5	tasks	task	NOUN
flr-13	122	6	at	at	ADV
flr-13	122	7	least	least	ADJ
flr-13	122	8	as	as	ADV
flr-13	122	9	well	well	ADV
flr-13	122	10	as	as	ADP
flr-13	122	11	other	other	ADJ
flr-13	122	12	techniques	technique	NOUN
flr-13	122	13	and	and	CCONJ
flr-13	122	14	most	most	ADV
flr-13	122	15	often	often	ADV
flr-13	122	16	perform	perform	VERB
flr-13	122	17	significantly	significantly	ADV
flr-13	122	18	better	well	ADV
flr-13	122	19	(	(	PUNCT
flr-13	122	20	marquez	marquez	PROPN
flr-13	122	21	,	,	PUNCT
flr-13	122	22	hill	hill	PROPN
flr-13	122	23	,	,	PUNCT
flr-13	122	24	worthley	worthley	NOUN
flr-13	122	25	,	,	PUNCT
flr-13	122	26	&	&	CCONJ
flr-13	122	27	remus	remus	PROPN
flr-13	122	28	,	,	PUNCT
flr-13	122	29	1991	1991	NUM
flr-13	122	30	)	)	PUNCT
flr-13	122	31	;	;	PUNCT
flr-13	122	32	(	(	PUNCT
flr-13	122	33	c	c	X
flr-13	122	34	)	)	PUNCT
flr-13	122	35	ann	ann	PROPN
flr-13	122	36	can	can	AUX
flr-13	122	37	handle	handle	VERB
flr-13	122	38	data	datum	NOUN
flr-13	122	39	of	of	ADP
flr-13	122	40	all	all	DET
flr-13	122	41	levels	level	NOUN
flr-13	122	42	of	of	ADP
flr-13	122	43	measurement	measurement	NOUN
flr-13	122	44	,	,	PUNCT
flr-13	122	45	continuous	continuous	ADJ
flr-13	122	46	or	or	CCONJ
flr-13	122	47	categorical	categorical	ADJ
flr-13	122	48	,	,	PUNCT
flr-13	122	49	as	as	ADP
flr-13	122	50	inputs	input	NOUN
flr-13	122	51	and	and	CCONJ
flr-13	122	52	outputs	output	NOUN
flr-13	122	53	.	.	PUNCT
flr-13	123	1	because	because	SCONJ
flr-13	123	2	of	of	ADP
flr-13	123	3	the	the	DET
flr-13	123	4	speed	speed	NOUN
flr-13	123	5	of	of	ADP
flr-13	123	6	microprocessors	microprocessor	NOUN
flr-13	123	7	in	in	ADP
flr-13	123	8	even	even	ADV
flr-13	123	9	basic	basic	ADJ
flr-13	123	10	computers	computer	NOUN
flr-13	123	11	,	,	PUNCT
flr-13	123	12	anns	ann	NOUN
flr-13	123	13	are	be	AUX
flr-13	123	14	more	more	ADV
flr-13	123	15	accessible	accessible	ADJ
flr-13	123	16	today	today	NOUN
flr-13	123	17	than	than	ADP
flr-13	123	18	when	when	SCONJ
flr-13	123	19	they	they	PRON
flr-13	123	20	were	be	AUX
flr-13	123	21	originally	originally	ADV
flr-13	123	22	developed	develop	VERB
flr-13	123	23	.	.	PUNCT
flr-13	124	1	current	current	ADJ
flr-13	124	2	research	research	NOUN
flr-13	124	3	has	have	AUX
flr-13	124	4	shown	show	VERB
flr-13	124	5	that	that	SCONJ
flr-13	124	6	neural	neural	ADJ
flr-13	124	7	network	network	NOUN
flr-13	124	8	analysis	analysis	NOUN
flr-13	124	9	substantially	substantially	ADV
flr-13	124	10	improves	improve	VERB
flr-13	124	11	the	the	DET
flr-13	124	12	validity	validity	NOUN
flr-13	124	13	of	of	ADP
flr-13	124	14	the	the	DET
flr-13	124	15	classifications	classification	NOUN
flr-13	124	16	and	and	CCONJ
flr-13	124	17	increases	increase	VERB
flr-13	124	18	the	the	DET
flr-13	124	19	accuracy	accuracy	NOUN
flr-13	124	20	and	and	CCONJ
flr-13	124	21	predictive	predictive	ADJ
flr-13	124	22	validity	validity	NOUN
flr-13	124	23	of	of	ADP
flr-13	124	24	the	the	DET
flr-13	124	25	models	model	NOUN
flr-13	124	26	,	,	PUNCT
flr-13	124	27	in	in	ADP
flr-13	124	28	education	education	NOUN
flr-13	124	29	and	and	CCONJ
flr-13	124	30	other	other	ADJ
flr-13	124	31	fields	field	NOUN
flr-13	124	32	(	(	PUNCT
flr-13	124	33	kyndt	kyndt	NOUN
flr-13	124	34	et	et	PROPN
flr-13	124	35	al	al	PROPN
flr-13	124	36	.	.	PROPN
flr-13	124	37	,	,	PUNCT
flr-13	124	38	2012	2012	NUM
flr-13	124	39	,	,	PUNCT
flr-13	124	40	submitted	submit	VERB
flr-13	124	41	;	;	PUNCT
flr-13	124	42	musso	musso	PROPN
flr-13	124	43	&	&	CCONJ
flr-13	124	44	cascallar	cascallar	ADJ
flr-13	124	45	,	,	PUNCT
flr-13	124	46	2009b	2009b	NUM
flr-13	124	47	;	;	PUNCT
flr-13	124	48	perkins	perkins	PROPN
flr-13	124	49	et	et	PROPN
flr-13	124	50	al	al	PROPN
flr-13	124	51	.	.	PROPN
flr-13	124	52	,	,	PUNCT
flr-13	124	53	1995	1995	NUM
flr-13	124	54	)	)	PUNCT
flr-13	124	55	.	.	PUNCT
flr-13	125	1	the	the	DET
flr-13	125	2	ann	ann	PROPN
flr-13	125	3	learns	learn	VERB
flr-13	125	4	by	by	ADP
flr-13	125	5	examining	examine	VERB
flr-13	125	6	individual	individual	ADJ
flr-13	125	7	training	training	NOUN
flr-13	125	8	cases	case	NOUN
flr-13	125	9	(	(	PUNCT
flr-13	125	10	subjects	subject	NOUN
flr-13	125	11	/	/	SYM
flr-13	125	12	students	student	NOUN
flr-13	125	13	)	)	PUNCT
flr-13	125	14	,	,	PUNCT
flr-13	125	15	then	then	ADV
flr-13	125	16	generating	generate	VERB
flr-13	125	17	a	a	DET
flr-13	125	18	prediction	prediction	NOUN
flr-13	125	19	for	for	ADP
flr-13	125	20	each	each	DET
flr-13	125	21	student	student	NOUN
flr-13	125	22	,	,	PUNCT
flr-13	125	23	and	and	CCONJ
flr-13	125	24	making	make	VERB
flr-13	125	25	adjustments	adjustment	NOUN
flr-13	125	26	to	to	ADP
flr-13	125	27	the	the	DET
flr-13	125	28	weights	weight	NOUN
flr-13	125	29	whenever	whenever	SCONJ
flr-13	125	30	it	it	PRON
flr-13	125	31	makes	make	VERB
flr-13	125	32	an	an	DET
flr-13	125	33	incorrect	incorrect	ADJ
flr-13	125	34	prediction	prediction	NOUN
flr-13	125	35	.	.	PUNCT
flr-13	126	1	information	information	NOUN
flr-13	126	2	is	be	AUX
flr-13	126	3	passed	pass	VERB
flr-13	126	4	back	back	ADV
flr-13	126	5	through	through	ADP
flr-13	126	6	the	the	DET
flr-13	126	7	network	network	NOUN
flr-13	126	8	in	in	ADP
flr-13	126	9	iterations	iteration	NOUN
flr-13	126	10	,	,	PUNCT
flr-13	126	11	gradually	gradually	ADV
flr-13	126	12	changing	change	VERB
flr-13	126	13	the	the	DET
flr-13	126	14	weights	weight	NOUN
flr-13	126	15	.	.	PUNCT
flr-13	127	1	as	as	ADP
flr-13	127	2	training	training	NOUN
flr-13	127	3	progresses	progress	NOUN
flr-13	127	4	,	,	PUNCT
flr-13	127	5	the	the	DET
flr-13	127	6	network	network	NOUN
flr-13	127	7	becomes	become	VERB
flr-13	127	8	increasingly	increasingly	ADV
flr-13	127	9	accurate	accurate	ADJ
flr-13	127	10	in	in	ADP
flr-13	127	11	replicating	replicate	VERB
flr-13	127	12	the	the	DET
flr-13	127	13	known	know	VERB
flr-13	127	14	outcomes	outcome	NOUN
flr-13	127	15	.	.	PUNCT
flr-13	128	1	this	this	DET
flr-13	128	2	process	process	NOUN
flr-13	128	3	is	be	AUX
flr-13	128	4	repeated	repeat	VERB
flr-13	128	5	many	many	ADJ
flr-13	128	6	times	time	NOUN
flr-13	128	7	,	,	PUNCT
flr-13	128	8	and	and	CCONJ
flr-13	128	9	the	the	DET
flr-13	128	10	network	network	NOUN
flr-13	128	11	continues	continue	VERB
flr-13	128	12	to	to	PART
flr-13	128	13	improve	improve	VERB
flr-13	128	14	its	its	PRON
flr-13	128	15	predictions	prediction	NOUN
flr-13	128	16	until	until	SCONJ
flr-13	128	17	one	one	NUM
flr-13	128	18	or	or	CCONJ
flr-13	128	19	more	more	ADJ
flr-13	128	20	of	of	ADP
flr-13	128	21	the	the	DET
flr-13	128	22	stopping	stopping	NOUN
flr-13	128	23	criteria	criterion	NOUN
flr-13	128	24	have	have	AUX
flr-13	128	25	been	be	AUX
flr-13	128	26	met	meet	VERB
flr-13	128	27	.	.	PUNCT
flr-13	129	1	a	a	DET
flr-13	129	2	minimum	minimum	ADJ
flr-13	129	3	level	level	NOUN
flr-13	129	4	of	of	ADP
flr-13	129	5	accuracy	accuracy	NOUN
flr-13	129	6	can	can	AUX
flr-13	129	7	be	be	AUX
flr-13	129	8	set	set	VERB
flr-13	129	9	as	as	ADP
flr-13	129	10	the	the	DET
flr-13	129	11	stopping	stopping	NOUN
flr-13	129	12	criterion	criterion	NOUN
flr-13	129	13	,	,	PUNCT
flr-13	129	14	although	although	SCONJ
flr-13	129	15	m.	m.	PROPN
flr-13	129	16	f.	f.	PROPN
flr-13	129	17	musso	musso	PROPN
flr-13	129	18	et	et	PROPN
flr-13	129	19	al	al	PROPN
flr-13	129	20	.	.	PROPN
flr-13	130	1	48	48	NUM
flr-13	131	1	|	|	CCONJ
flr-13	131	2	f	f	NOUN
flr-13	131	3	l	l	NOUN
flr-13	131	4	r	r	NOUN
flr-13	131	5	additional	additional	ADJ
flr-13	131	6	stopping	stopping	NOUN
flr-13	131	7	criteria	criterion	NOUN
flr-13	131	8	may	may	AUX
flr-13	131	9	be	be	AUX
flr-13	131	10	used	use	VERB
flr-13	131	11	as	as	ADV
flr-13	131	12	well	well	ADV
flr-13	131	13	(	(	PUNCT
flr-13	131	14	e.g.	e.g.	ADV
flr-13	131	15	,	,	PUNCT
flr-13	131	16	number	number	NOUN
flr-13	131	17	of	of	ADP
flr-13	131	18	iterations	iteration	NOUN
flr-13	131	19	,	,	PUNCT
flr-13	131	20	amount	amount	NOUN
flr-13	131	21	of	of	ADP
flr-13	131	22	processing	processing	NOUN
flr-13	131	23	time	time	NOUN
flr-13	131	24	)	)	PUNCT
flr-13	131	25	.	.	PUNCT
flr-13	132	1	once	once	ADV
flr-13	132	2	trained	train	VERB
flr-13	132	3	,	,	PUNCT
flr-13	132	4	the	the	DET
flr-13	132	5	network	network	NOUN
flr-13	132	6	can	can	AUX
flr-13	132	7	be	be	AUX
flr-13	132	8	applied	apply	VERB
flr-13	132	9	,	,	PUNCT
flr-13	132	10	with	with	ADP
flr-13	132	11	its	its	PRON
flr-13	132	12	structure	structure	NOUN
flr-13	132	13	and	and	CCONJ
flr-13	132	14	parameters	parameter	NOUN
flr-13	132	15	,	,	PUNCT
flr-13	132	16	to	to	ADP
flr-13	132	17	future	future	ADJ
flr-13	132	18	cases	case	NOUN
flr-13	132	19	(	(	PUNCT
flr-13	132	20	validation	validation	NOUN
flr-13	132	21	or	or	CCONJ
flr-13	132	22	holdout	holdout	NOUN
flr-13	132	23	sample	sample	NOUN
flr-13	132	24	)	)	PUNCT
flr-13	132	25	for	for	ADP
flr-13	132	26	further	further	ADJ
flr-13	132	27	validation	validation	NOUN
flr-13	132	28	studies	study	NOUN
flr-13	132	29	and	and	CCONJ
flr-13	132	30	programme	programme	NOUN
flr-13	132	31	implementation	implementation	NOUN
flr-13	132	32	(	(	PUNCT
flr-13	132	33	lippman	lippman	NOUN
flr-13	132	34	,	,	PUNCT
flr-13	132	35	1987	1987	NUM
flr-13	132	36	)	)	PUNCT
flr-13	132	37	.	.	PUNCT
flr-13	133	1	as	as	ADV
flr-13	133	2	long	long	ADV
flr-13	133	3	as	as	SCONJ
flr-13	133	4	the	the	DET
flr-13	133	5	basic	basic	ADJ
flr-13	133	6	assumptions	assumption	NOUN
flr-13	133	7	of	of	ADP
flr-13	133	8	the	the	DET
flr-13	133	9	population	population	NOUN
flr-13	133	10	of	of	ADP
flr-13	133	11	persons	person	NOUN
flr-13	133	12	or	or	CCONJ
flr-13	133	13	events	event	NOUN
flr-13	133	14	that	that	PRON
flr-13	133	15	the	the	DET
flr-13	133	16	ann	ann	PROPN
flr-13	133	17	used	use	VERB
flr-13	133	18	for	for	ADP
flr-13	133	19	training	training	NOUN
flr-13	133	20	is	be	AUX
flr-13	133	21	constant	constant	ADJ
flr-13	133	22	or	or	CCONJ
flr-13	133	23	varies	vary	VERB
flr-13	133	24	slightly	slightly	ADV
flr-13	133	25	and/or	and/or	CCONJ
flr-13	133	26	gradually	gradually	ADV
flr-13	133	27	,	,	PUNCT
flr-13	133	28	it	it	PRON
flr-13	133	29	can	can	AUX
flr-13	133	30	adapt	adapt	VERB
flr-13	133	31	and	and	CCONJ
flr-13	133	32	improve	improve	VERB
flr-13	133	33	its	its	PRON
flr-13	133	34	pattern	pattern	NOUN
flr-13	133	35	recognition	recognition	NOUN
flr-13	133	36	algorithms	algorithm	VERB
flr-13	133	37	the	the	DET
flr-13	133	38	more	more	ADJ
flr-13	133	39	data	datum	NOUN
flr-13	133	40	it	it	PRON
flr-13	133	41	is	be	AUX
flr-13	133	42	exposed	expose	VERB
flr-13	133	43	to	to	ADP
flr-13	133	44	in	in	ADP
flr-13	133	45	the	the	DET
flr-13	133	46	implementations	implementation	NOUN
flr-13	133	47	.	.	PUNCT
flr-13	134	1	the	the	DET
flr-13	134	2	class	class	NOUN
flr-13	134	3	of	of	ADP
flr-13	134	4	ann	ann	PROPN
flr-13	134	5	models	model	NOUN
flr-13	134	6	used	use	VERB
flr-13	134	7	in	in	ADP
flr-13	134	8	this	this	DET
flr-13	134	9	research	research	NOUN
flr-13	134	10	can	can	AUX
flr-13	134	11	be	be	AUX
flr-13	134	12	compared	compare	VERB
flr-13	134	13	with	with	ADP
flr-13	134	14	the	the	DET
flr-13	134	15	more	more	ADV
flr-13	134	16	traditional	traditional	ADJ
flr-13	134	17	discriminant	discriminant	ADJ
flr-13	134	18	analysis	analysis	NOUN
flr-13	134	19	approach	approach	NOUN
flr-13	134	20	.	.	PUNCT
flr-13	135	1	both	both	PRON
flr-13	135	2	of	of	ADP
flr-13	135	3	these	these	DET
flr-13	135	4	methods	method	NOUN
flr-13	135	5	derive	derive	VERB
flr-13	135	6	classification	classification	NOUN
flr-13	135	7	rules	rule	NOUN
flr-13	135	8	from	from	ADP
flr-13	135	9	samples	sample	NOUN
flr-13	135	10	of	of	ADP
flr-13	135	11	classified	classified	ADJ
flr-13	135	12	objects	object	NOUN
flr-13	135	13	based	base	VERB
flr-13	135	14	on	on	ADP
flr-13	135	15	known	know	VERB
flr-13	135	16	predictors	predictor	NOUN
flr-13	135	17	.	.	PUNCT
flr-13	136	1	this	this	DET
flr-13	136	2	general	general	ADJ
flr-13	136	3	approach	approach	NOUN
flr-13	136	4	is	be	AUX
flr-13	136	5	called	call	VERB
flr-13	136	6	„	„	PUNCT
flr-13	136	7	supervised	supervised	ADJ
flr-13	136	8	learning‟	learning‟	PUNCT
flr-13	136	9	since	since	SCONJ
flr-13	136	10	the	the	DET
flr-13	136	11	outcomes	outcome	NOUN
flr-13	136	12	are	be	AUX
flr-13	136	13	known	know	VERB
flr-13	136	14	and	and	CCONJ
flr-13	136	15	relationships	relationship	NOUN
flr-13	136	16	are	be	AUX
flr-13	136	17	modelled	model	VERB
flr-13	136	18	or	or	CCONJ
flr-13	136	19	„	„	PUNCT
flr-13	136	20	supervised‟	supervised‟	NOUN
flr-13	136	21	according	accord	VERB
flr-13	136	22	to	to	ADP
flr-13	136	23	these	these	DET
flr-13	136	24	outcomes	outcome	NOUN
flr-13	136	25	(	(	PUNCT
flr-13	136	26	kohavi	kohavi	PROPN
flr-13	136	27	&	&	CCONJ
flr-13	136	28	provost	provost	PROPN
flr-13	136	29	,	,	PUNCT
flr-13	136	30	1998	1998	NUM
flr-13	136	31	)	)	PUNCT
flr-13	136	32	.	.	PUNCT
flr-13	137	1	but	but	CCONJ
flr-13	137	2	,	,	PUNCT
flr-13	137	3	there	there	PRON
flr-13	137	4	are	be	VERB
flr-13	137	5	significant	significant	ADJ
flr-13	137	6	differences	difference	NOUN
flr-13	137	7	in	in	ADP
flr-13	137	8	the	the	DET
flr-13	137	9	algorithms	algorithm	NOUN
flr-13	137	10	and	and	CCONJ
flr-13	137	11	procedures	procedure	NOUN
flr-13	137	12	for	for	ADP
flr-13	137	13	both	both	DET
flr-13	137	14	analyses	analysis	NOUN
flr-13	137	15	,	,	PUNCT
flr-13	137	16	such	such	ADJ
flr-13	137	17	as	as	ADP
flr-13	137	18	the	the	DET
flr-13	137	19	fact	fact	NOUN
flr-13	137	20	that	that	SCONJ
flr-13	137	21	while	while	SCONJ
flr-13	137	22	discriminant	discriminant	ADJ
flr-13	137	23	analysis	analysis	NOUN
flr-13	137	24	assumes	assume	VERB
flr-13	137	25	linear	linear	ADJ
flr-13	137	26	relationships	relationship	NOUN
flr-13	137	27	,	,	PUNCT
flr-13	137	28	neural	neural	ADJ
flr-13	137	29	network	network	NOUN
flr-13	137	30	analysis	analysis	NOUN
flr-13	137	31	does	do	AUX
flr-13	137	32	not	not	PART
flr-13	137	33	.	.	PUNCT
flr-13	138	1	in	in	ADP
flr-13	138	2	terms	term	NOUN
flr-13	138	3	of	of	ADP
flr-13	138	4	comparisons	comparison	NOUN
flr-13	138	5	with	with	ADP
flr-13	138	6	another	another	DET
flr-13	138	7	common	common	ADJ
flr-13	138	8	statistical	statistical	ADJ
flr-13	138	9	method	method	NOUN
flr-13	138	10	used	use	VERB
flr-13	138	11	in	in	ADP
flr-13	138	12	educational	educational	ADJ
flr-13	138	13	research	research	NOUN
flr-13	138	14	,	,	PUNCT
flr-13	138	15	linear	linear	ADJ
flr-13	138	16	regression	regression	NOUN
flr-13	138	17	,	,	PUNCT
flr-13	138	18	it	it	PRON
flr-13	138	19	is	be	AUX
flr-13	138	20	important	important	ADJ
flr-13	138	21	to	to	PART
flr-13	138	22	note	note	VERB
flr-13	138	23	that	that	SCONJ
flr-13	138	24	although	although	SCONJ
flr-13	138	25	neural	neural	ADJ
flr-13	138	26	networks	network	NOUN
flr-13	138	27	can	can	AUX
flr-13	138	28	address	address	VERB
flr-13	138	29	some	some	PRON
flr-13	138	30	of	of	ADP
flr-13	138	31	the	the	DET
flr-13	138	32	same	same	ADJ
flr-13	138	33	research	research	NOUN
flr-13	138	34	issues	issue	NOUN
flr-13	138	35	as	as	ADP
flr-13	138	36	regression	regression	NOUN
flr-13	138	37	it	it	PRON
flr-13	138	38	is	be	AUX
flr-13	138	39	inherently	inherently	ADV
flr-13	138	40	a	a	DET
flr-13	138	41	different	different	ADJ
flr-13	138	42	mathematical	mathematical	ADJ
flr-13	138	43	approach	approach	NOUN
flr-13	138	44	(	(	PUNCT
flr-13	138	45	detienne	detienne	PROPN
flr-13	138	46	et	et	PROPN
flr-13	138	47	al	al	PROPN
flr-13	138	48	.	.	PROPN
flr-13	138	49	,	,	PUNCT
flr-13	138	50	2003	2003	NUM
flr-13	138	51	)	)	PUNCT
flr-13	138	52	.	.	PUNCT
flr-13	139	1	there	there	PRON
flr-13	139	2	is	be	VERB
flr-13	139	3	another	another	DET
flr-13	139	4	family	family	NOUN
flr-13	139	5	of	of	ADP
flr-13	139	6	predictive	predictive	ADJ
flr-13	139	7	systems	system	NOUN
flr-13	139	8	which	which	PRON
flr-13	139	9	are	be	AUX
flr-13	139	10	“	"	PUNCT
flr-13	139	11	unsupervised	unsupervised	ADJ
flr-13	139	12	”	"	PUNCT
flr-13	139	13	(	(	PUNCT
flr-13	139	14	e.g.	e.g.	ADV
flr-13	139	15	,	,	PUNCT
flr-13	139	16	kohonen	kohonen	PROPN
flr-13	139	17	networks	networks	PROPN
flr-13	139	18	)	)	PUNCT
flr-13	139	19	,	,	PUNCT
flr-13	139	20	in	in	ADP
flr-13	139	21	which	which	PRON
flr-13	139	22	the	the	DET
flr-13	139	23	patterns	pattern	NOUN
flr-13	139	24	presented	present	VERB
flr-13	139	25	to	to	ADP
flr-13	139	26	the	the	DET
flr-13	139	27	network	network	NOUN
flr-13	139	28	are	be	AUX
flr-13	139	29	not	not	PART
flr-13	139	30	associated	associate	VERB
flr-13	139	31	with	with	ADP
flr-13	139	32	specific	specific	ADJ
flr-13	139	33	outcomes	outcome	NOUN
flr-13	139	34	;	;	PUNCT
flr-13	139	35	it	it	PRON
flr-13	139	36	is	be	AUX
flr-13	139	37	the	the	DET
flr-13	139	38	neural	neural	ADJ
flr-13	139	39	network	network	NOUN
flr-13	139	40	itself	itself	PRON
flr-13	139	41	that	that	PRON
flr-13	139	42	derives	derive	VERB
flr-13	139	43	the	the	DET
flr-13	139	44	commonalities	commonality	NOUN
flr-13	139	45	between	between	ADP
flr-13	139	46	the	the	DET
flr-13	139	47	predictors	predictor	NOUN
flr-13	139	48	,	,	PUNCT
flr-13	139	49	grouping	group	VERB
flr-13	139	50	cases	case	NOUN
flr-13	139	51	into	into	ADP
flr-13	139	52	classes	class	NOUN
flr-13	139	53	on	on	ADP
flr-13	139	54	the	the	DET
flr-13	139	55	basis	basis	NOUN
flr-13	139	56	of	of	ADP
flr-13	139	57	these	these	DET
flr-13	139	58	similarities	similarity	NOUN
flr-13	139	59	.	.	PUNCT
flr-13	140	1	thus	thus	ADV
flr-13	140	2	,	,	PUNCT
flr-13	140	3	these	these	DET
flr-13	140	4	analyses	analysis	NOUN
flr-13	140	5	can	can	AUX
flr-13	140	6	be	be	AUX
flr-13	140	7	used	use	VERB
flr-13	140	8	to	to	PART
flr-13	140	9	explore	explore	VERB
flr-13	140	10	the	the	DET
flr-13	140	11	data	datum	NOUN
flr-13	140	12	from	from	ADP
flr-13	140	13	a	a	DET
flr-13	140	14	different	different	ADJ
flr-13	140	15	perspective	perspective	NOUN
flr-13	140	16	and	and	CCONJ
flr-13	140	17	learn	learn	VERB
flr-13	140	18	the	the	DET
flr-13	140	19	grouping	grouping	NOUN
flr-13	140	20	of	of	ADP
flr-13	140	21	cases	case	NOUN
flr-13	140	22	based	base	VERB
flr-13	140	23	on	on	ADP
flr-13	140	24	these	these	DET
flr-13	140	25	predictor	predictor	NOUN
flr-13	140	26	commonalities	commonality	NOUN
flr-13	140	27	instead	instead	ADV
flr-13	140	28	of	of	ADP
flr-13	140	29	being	be	AUX
flr-13	140	30	focused	focus	VERB
flr-13	140	31	on	on	ADP
flr-13	140	32	predictions	prediction	NOUN
flr-13	140	33	or	or	CCONJ
flr-13	140	34	individual	individual	ADJ
flr-13	140	35	outcomes	outcome	NOUN
flr-13	140	36	(	(	PUNCT
flr-13	140	37	cascallar	cascallar	ADJ
flr-13	140	38	et	et	PROPN
flr-13	140	39	al	al	PROPN
flr-13	140	40	.	.	PROPN
flr-13	140	41	,	,	PUNCT
flr-13	140	42	2006	2006	NUM
flr-13	140	43	;	;	PUNCT
flr-13	140	44	kyndt	kyndt	PROPN
flr-13	140	45	et	et	PROPN
flr-13	140	46	al	al	PROPN
flr-13	140	47	.	.	PROPN
flr-13	140	48	,	,	PUNCT
flr-13	140	49	2012	2012	NUM
flr-13	140	50	,	,	PUNCT
flr-13	140	51	submitted	submit	VERB
flr-13	140	52	)	)	PUNCT
flr-13	140	53	.	.	PUNCT
flr-13	141	1	neural	neural	ADJ
flr-13	141	2	networks	network	NOUN
flr-13	141	3	excel	excel	VERB
flr-13	141	4	in	in	ADP
flr-13	141	5	the	the	DET
flr-13	141	6	classification	classification	NOUN
flr-13	141	7	and	and	CCONJ
flr-13	141	8	prediction	prediction	NOUN
flr-13	141	9	of	of	ADP
flr-13	141	10	outcomes	outcome	NOUN
flr-13	141	11	;	;	PUNCT
flr-13	141	12	especially	especially	ADV
flr-13	141	13	when	when	SCONJ
flr-13	141	14	large	large	ADJ
flr-13	141	15	data	data	NOUN
flr-13	141	16	sets	set	NOUN
flr-13	141	17	are	be	AUX
flr-13	141	18	available	available	ADJ
flr-13	141	19	that	that	PRON
flr-13	141	20	are	be	AUX
flr-13	141	21	related	relate	VERB
flr-13	141	22	in	in	ADP
flr-13	141	23	nonlinear	nonlinear	ADJ
flr-13	141	24	ways	way	NOUN
flr-13	141	25	,	,	PUNCT
flr-13	141	26	and	and	CCONJ
flr-13	141	27	where	where	SCONJ
flr-13	141	28	the	the	DET
flr-13	141	29	intercorrelation	intercorrelation	NOUN
flr-13	141	30	between	between	ADP
flr-13	141	31	variables	variable	NOUN
flr-13	141	32	is	be	AUX
flr-13	141	33	not	not	PART
flr-13	141	34	clearly	clearly	ADV
flr-13	141	35	understood	understand	VERB
flr-13	141	36	.	.	PUNCT
flr-13	142	1	these	these	DET
flr-13	142	2	properties	property	NOUN
flr-13	142	3	of	of	ADP
flr-13	142	4	anns	ann	NOUN
flr-13	142	5	clearly	clearly	ADV
flr-13	142	6	make	make	VERB
flr-13	142	7	them	they	PRON
flr-13	142	8	particularly	particularly	ADV
flr-13	142	9	suitable	suitable	ADJ
flr-13	142	10	for	for	ADP
flr-13	142	11	social	social	ADJ
flr-13	142	12	science	science	NOUN
flr-13	142	13	data	datum	NOUN
flr-13	142	14	where	where	SCONJ
flr-13	142	15	they	they	PRON
flr-13	142	16	can	can	AUX
flr-13	142	17	simultaneously	simultaneously	ADV
flr-13	142	18	consider	consider	VERB
flr-13	142	19	all	all	DET
flr-13	142	20	variables	variable	NOUN
flr-13	142	21	in	in	ADP
flr-13	142	22	a	a	DET
flr-13	142	23	study	study	NOUN
flr-13	142	24	(	(	PUNCT
flr-13	142	25	garson	garson	PROPN
flr-13	142	26	,	,	PUNCT
flr-13	142	27	1998	1998	NUM
flr-13	142	28	)	)	PUNCT
flr-13	142	29	.	.	PUNCT
flr-13	143	1	moreover	moreover	ADV
flr-13	143	2	,	,	PUNCT
flr-13	143	3	the	the	DET
flr-13	143	4	assumptions	assumption	NOUN
flr-13	143	5	of	of	ADP
flr-13	143	6	normality	normality	NOUN
flr-13	143	7	,	,	PUNCT
flr-13	143	8	linearity	linearity	NOUN
flr-13	143	9	and	and	CCONJ
flr-13	143	10	completeness	completeness	NOUN
flr-13	143	11	that	that	PRON
flr-13	143	12	are	be	AUX
flr-13	143	13	made	make	VERB
flr-13	143	14	by	by	ADP
flr-13	143	15	methods	method	NOUN
flr-13	143	16	such	such	ADJ
flr-13	143	17	as	as	ADP
flr-13	143	18	multiple	multiple	ADJ
flr-13	143	19	linear	linear	ADJ
flr-13	143	20	regression	regression	NOUN
flr-13	143	21	(	(	PUNCT
flr-13	143	22	kent	kent	NOUN
flr-13	143	23	,	,	PUNCT
flr-13	143	24	2009	2009	NUM
flr-13	143	25	)	)	PUNCT
flr-13	143	26	,	,	PUNCT
flr-13	143	27	and	and	CCONJ
flr-13	143	28	that	that	PRON
flr-13	143	29	are	be	AUX
flr-13	143	30	often	often	ADV
flr-13	143	31	very	very	ADV
flr-13	143	32	difficult	difficult	ADJ
flr-13	143	33	to	to	PART
flr-13	143	34	establish	establish	VERB
flr-13	143	35	for	for	ADP
flr-13	143	36	social	social	ADJ
flr-13	143	37	science	science	NOUN
flr-13	143	38	data	datum	NOUN
flr-13	143	39	,	,	PUNCT
flr-13	143	40	are	be	AUX
flr-13	143	41	not	not	PART
flr-13	143	42	made	make	VERB
flr-13	143	43	in	in	ADP
flr-13	143	44	neural	neural	ADJ
flr-13	143	45	network	network	NOUN
flr-13	143	46	analysis	analysis	NOUN
flr-13	143	47	.	.	PUNCT
flr-13	144	1	neural	neural	ADJ
flr-13	144	2	networks	network	NOUN
flr-13	144	3	can	can	AUX
flr-13	144	4	work	work	VERB
flr-13	144	5	with	with	ADP
flr-13	144	6	noisy	noisy	ADJ
flr-13	144	7	,	,	PUNCT
flr-13	144	8	incomplete	incomplete	ADJ
flr-13	144	9	,	,	PUNCT
flr-13	144	10	overlapping	overlap	VERB
flr-13	144	11	,	,	PUNCT
flr-13	144	12	highly	highly	ADV
flr-13	144	13	nonlinear	nonlinear	ADJ
flr-13	144	14	and	and	CCONJ
flr-13	144	15	noncontinuous	noncontinuous	ADJ
flr-13	144	16	data	datum	NOUN
flr-13	144	17	because	because	SCONJ
flr-13	144	18	the	the	DET
flr-13	144	19	processing	processing	NOUN
flr-13	144	20	is	be	AUX
flr-13	144	21	spread	spread	VERB
flr-13	144	22	over	over	ADP
flr-13	144	23	a	a	DET
flr-13	144	24	large	large	ADJ
flr-13	144	25	number	number	NOUN
flr-13	144	26	of	of	ADP
flr-13	144	27	processing	processing	NOUN
flr-13	144	28	entities	entity	NOUN
flr-13	144	29	(	(	PUNCT
flr-13	144	30	garson	garson	PROPN
flr-13	144	31	,	,	PUNCT
flr-13	144	32	1998	1998	NUM
flr-13	144	33	,	,	PUNCT
flr-13	144	34	kent	kent	PROPN
flr-13	144	35	,	,	PUNCT
flr-13	144	36	2009	2009	NUM
flr-13	144	37	)	)	PUNCT
flr-13	144	38	.	.	PUNCT
flr-13	145	1	in	in	ADP
flr-13	145	2	this	this	DET
flr-13	145	3	regard	regard	NOUN
flr-13	145	4	it	it	PRON
flr-13	145	5	can	can	AUX
flr-13	145	6	be	be	AUX
flr-13	145	7	said	say	VERB
flr-13	145	8	that	that	SCONJ
flr-13	145	9	neural	neural	ADJ
flr-13	145	10	networks	network	NOUN
flr-13	145	11	are	be	AUX
flr-13	145	12	robust	robust	ADJ
flr-13	145	13	and	and	CCONJ
flr-13	145	14	have	have	VERB
flr-13	145	15	wide	wide	ADJ
flr-13	145	16	non	non	ADJ
flr-13	145	17	-	-	ADJ
flr-13	145	18	parametric	parametric	ADJ
flr-13	145	19	application	application	NOUN
flr-13	145	20	.	.	PUNCT
flr-13	146	1	there	there	PRON
flr-13	146	2	is	be	VERB
flr-13	146	3	also	also	ADV
flr-13	146	4	evidence	evidence	NOUN
flr-13	146	5	that	that	SCONJ
flr-13	146	6	neural	neural	ADJ
flr-13	146	7	models	model	NOUN
flr-13	146	8	are	be	AUX
flr-13	146	9	robust	robust	ADJ
flr-13	146	10	in	in	ADP
flr-13	146	11	the	the	DET
flr-13	146	12	statistical	statistical	ADJ
flr-13	146	13	sense	sense	NOUN
flr-13	146	14	,	,	PUNCT
flr-13	146	15	and	and	CCONJ
flr-13	146	16	also	also	ADV
flr-13	146	17	robust	robust	ADJ
flr-13	146	18	when	when	SCONJ
flr-13	146	19	faced	face	VERB
flr-13	146	20	with	with	ADP
flr-13	146	21	a	a	DET
flr-13	146	22	small	small	ADJ
flr-13	146	23	number	number	NOUN
flr-13	146	24	of	of	ADP
flr-13	146	25	data	datum	NOUN
flr-13	146	26	points	point	NOUN
flr-13	146	27	(	(	PUNCT
flr-13	146	28	garson	garson	NOUN
flr-13	146	29	,	,	PUNCT
flr-13	146	30	1998	1998	NUM
flr-13	146	31	)	)	PUNCT
flr-13	146	32	.	.	PUNCT
flr-13	147	1	very	very	ADV
flr-13	147	2	few	few	ADJ
flr-13	147	3	studies	study	NOUN
flr-13	147	4	within	within	ADP
flr-13	147	5	the	the	DET
flr-13	147	6	educational	educational	ADJ
flr-13	147	7	literature	literature	NOUN
flr-13	147	8	have	have	AUX
flr-13	147	9	used	use	VERB
flr-13	147	10	neural	neural	ADJ
flr-13	147	11	network	network	NOUN
flr-13	147	12	analysis	analysis	NOUN
flr-13	147	13	or	or	CCONJ
flr-13	147	14	any	any	DET
flr-13	147	15	other	other	ADJ
flr-13	147	16	type	type	NOUN
flr-13	147	17	of	of	ADP
flr-13	147	18	predictive	predictive	ADJ
flr-13	147	19	system	system	NOUN
flr-13	147	20	(	(	PUNCT
flr-13	147	21	e.g.	e.g.	ADV
flr-13	147	22	,	,	PUNCT
flr-13	147	23	cascallar	cascallar	ADJ
flr-13	147	24	et	et	PROPN
flr-13	147	25	al	al	PROPN
flr-13	147	26	.	.	PROPN
flr-13	147	27	,	,	PUNCT
flr-13	147	28	2006	2006	NUM
flr-13	147	29	;	;	PUNCT
flr-13	147	30	cascallar	cascallar	PROPN
flr-13	147	31	&	&	CCONJ
flr-13	147	32	musso	musso	PROPN
flr-13	147	33	,	,	PUNCT
flr-13	147	34	2008	2008	NUM
flr-13	147	35	;	;	PUNCT
flr-13	147	36	musso	musso	PROPN
flr-13	147	37	&	&	CCONJ
flr-13	147	38	cascallar	cascallar	ADJ
flr-13	147	39	,	,	PUNCT
flr-13	147	40	2009a	2009a	NUM
flr-13	147	41	;	;	PUNCT
flr-13	147	42	pinninghoff	pinninghoff	ADJ
flr-13	147	43	junemann	junemann	PROPN
flr-13	147	44	et	et	PROPN
flr-13	147	45	al	al	PROPN
flr-13	147	46	.	.	PROPN
flr-13	147	47	,	,	PUNCT
flr-13	147	48	2007	2007	NUM
flr-13	147	49	;	;	PUNCT
flr-13	147	50	wilson	wilson	PROPN
flr-13	147	51	&	&	CCONJ
flr-13	147	52	hardgrave	hardgrave	PROPN
flr-13	147	53	,	,	PUNCT
flr-13	147	54	1995	1995	NUM
flr-13	147	55	)	)	PUNCT
flr-13	147	56	.	.	PUNCT
flr-13	148	1	2.5	2.5	NUM
flr-13	148	2	ann	ann	NOUN
flr-13	148	3	processing	processing	NOUN
flr-13	148	4	and	and	CCONJ
flr-13	148	5	measures	measure	NOUN
flr-13	148	6	to	to	PART
flr-13	148	7	evaluate	evaluate	VERB
flr-13	148	8	the	the	DET
flr-13	148	9	neural	neural	ADJ
flr-13	148	10	network	network	NOUN
flr-13	148	11	system	system	NOUN
flr-13	148	12	performance	performance	NOUN
flr-13	148	13	in	in	ADP
flr-13	148	14	order	order	NOUN
flr-13	148	15	to	to	PART
flr-13	148	16	evaluate	evaluate	VERB
flr-13	148	17	the	the	DET
flr-13	148	18	performance	performance	NOUN
flr-13	148	19	of	of	ADP
flr-13	148	20	the	the	DET
flr-13	148	21	neural	neural	ADJ
flr-13	148	22	network	network	NOUN
flr-13	148	23	system	system	NOUN
flr-13	148	24	,	,	PUNCT
flr-13	148	25	there	there	PRON
flr-13	148	26	are	be	VERB
flr-13	148	27	a	a	DET
flr-13	148	28	number	number	NOUN
flr-13	148	29	of	of	ADP
flr-13	148	30	measures	measure	NOUN
flr-13	148	31	used	use	VERB
flr-13	148	32	which	which	PRON
flr-13	148	33	provide	provide	VERB
flr-13	148	34	a	a	DET
flr-13	148	35	means	means	NOUN
flr-13	148	36	of	of	ADP
flr-13	148	37	determining	determine	VERB
flr-13	148	38	the	the	DET
flr-13	148	39	quality	quality	NOUN
flr-13	148	40	of	of	ADP
flr-13	148	41	the	the	DET
flr-13	148	42	solutions	solution	NOUN
flr-13	148	43	offered	offer	VERB
flr-13	148	44	by	by	ADP
flr-13	148	45	the	the	DET
flr-13	148	46	various	various	ADJ
flr-13	148	47	network	network	NOUN
flr-13	148	48	models	model	NOUN
flr-13	148	49	tried	try	VERB
flr-13	148	50	.	.	PUNCT
flr-13	149	1	the	the	DET
flr-13	149	2	traditional	traditional	ADJ
flr-13	149	3	measures	measure	NOUN
flr-13	149	4	include	include	VERB
flr-13	149	5	the	the	DET
flr-13	149	6	determination	determination	NOUN
flr-13	149	7	of	of	ADP
flr-13	149	8	actual	actual	ADJ
flr-13	149	9	numbers	number	NOUN
flr-13	149	10	and	and	CCONJ
flr-13	149	11	rates	rate	NOUN
flr-13	149	12	for	for	ADP
flr-13	149	13	true	true	ADJ
flr-13	149	14	positive	positive	ADJ
flr-13	149	15	(	(	PUNCT
flr-13	149	16	tp	tp	NOUN
flr-13	149	17	)	)	PUNCT
flr-13	149	18	,	,	PUNCT
flr-13	149	19	true	true	ADJ
flr-13	149	20	negative	negative	ADJ
flr-13	149	21	(	(	PUNCT
flr-13	149	22	tn	tn	NOUN
flr-13	149	23	)	)	PUNCT
flr-13	149	24	,	,	PUNCT
flr-13	149	25	false	false	ADJ
flr-13	149	26	positive	positive	ADJ
flr-13	149	27	(	(	PUNCT
flr-13	149	28	fp	fp	NOUN
flr-13	149	29	)	)	PUNCT
flr-13	149	30	,	,	PUNCT
flr-13	149	31	and	and	CCONJ
flr-13	149	32	false	false	ADJ
flr-13	149	33	negative	negative	ADJ
flr-13	149	34	(	(	PUNCT
flr-13	149	35	fn	fn	NOUN
flr-13	149	36	)	)	PUNCT
flr-13	149	37	outcomes	outcome	NOUN
flr-13	149	38	,	,	PUNCT
flr-13	149	39	as	as	ADP
flr-13	149	40	products	product	NOUN
flr-13	149	41	of	of	ADP
flr-13	149	42	the	the	DET
flr-13	149	43	ann	ann	PROPN
flr-13	149	44	analysis	analysis	NOUN
flr-13	149	45	.	.	PUNCT
flr-13	150	1	in	in	ADP
flr-13	150	2	addition	addition	NOUN
flr-13	150	3	,	,	PUNCT
flr-13	150	4	certain	certain	ADJ
flr-13	150	5	summative	summative	ADJ
flr-13	150	6	evaluative	evaluative	ADJ
flr-13	150	7	algorithms	algorithm	NOUN
flr-13	150	8	have	have	AUX
flr-13	150	9	been	be	AUX
flr-13	150	10	developed	develop	VERB
flr-13	150	11	in	in	ADP
flr-13	150	12	this	this	DET
flr-13	150	13	field	field	NOUN
flr-13	150	14	of	of	ADP
flr-13	150	15	work	work	NOUN
flr-13	150	16	,	,	PUNCT
flr-13	150	17	to	to	PART
flr-13	150	18	assess	assess	VERB
flr-13	150	19	overall	overall	ADJ
flr-13	150	20	quality	quality	NOUN
flr-13	150	21	of	of	ADP
flr-13	150	22	the	the	DET
flr-13	150	23	predictive	predictive	ADJ
flr-13	150	24	system	system	NOUN
flr-13	150	25	.	.	PUNCT
flr-13	151	1	these	these	DET
flr-13	151	2	overall	overall	ADJ
flr-13	151	3	measures	measure	NOUN
flr-13	151	4	are	be	AUX
flr-13	151	5	:	:	PUNCT
flr-13	151	6	recall	recall	NOUN
flr-13	151	7	,	,	PUNCT
flr-13	151	8	which	which	PRON
flr-13	151	9	represents	represent	VERB
flr-13	151	10	the	the	DET
flr-13	151	11	proportion	proportion	NOUN
flr-13	151	12	of	of	ADP
flr-13	151	13	correctly	correctly	ADV
flr-13	151	14	identified	identify	VERB
flr-13	151	15	targets	target	NOUN
flr-13	151	16	,	,	PUNCT
flr-13	151	17	out	out	ADP
flr-13	151	18	of	of	ADP
flr-13	151	19	all	all	DET
flr-13	151	20	targets	target	NOUN
flr-13	151	21	presented	present	VERB
flr-13	151	22	in	in	ADP
flr-13	151	23	the	the	DET
flr-13	151	24	set	set	NOUN
flr-13	151	25	,	,	PUNCT
flr-13	151	26	and	and	CCONJ
flr-13	151	27	is	be	AUX
flr-13	151	28	represented	represent	VERB
flr-13	151	29	as	as	ADP
flr-13	151	30	:	:	PUNCT
flr-13	151	31	recall	recall	NOUN
flr-13	151	32	=	=	SYM
flr-13	151	33	tp/(tp	tp/(tp	PROPN
flr-13	151	34	+	+	X
flr-13	151	35	fn	fn	NOUN
flr-13	151	36	)	)	PUNCT
flr-13	151	37	;	;	PUNCT
flr-13	151	38	and	and	CCONJ
flr-13	151	39	precision	precision	NOUN
flr-13	151	40	which	which	PRON
flr-13	151	41	represents	represent	VERB
flr-13	151	42	the	the	DET
flr-13	151	43	proportion	proportion	NOUN
flr-13	151	44	of	of	ADP
flr-13	151	45	correctly	correctly	ADV
flr-13	151	46	identified	identify	VERB
flr-13	151	47	targets	target	NOUN
flr-13	151	48	,	,	PUNCT
flr-13	151	49	out	out	ADP
flr-13	151	50	of	of	ADP
flr-13	151	51	all	all	DET
flr-13	151	52	identified	identify	VERB
flr-13	151	53	targets	target	NOUN
flr-13	151	54	by	by	ADP
flr-13	151	55	the	the	DET
flr-13	151	56	system	system	NOUN
flr-13	151	57	,	,	PUNCT
flr-13	151	58	and	and	CCONJ
flr-13	151	59	is	be	AUX
flr-13	151	60	represented	represent	VERB
flr-13	151	61	as	as	ADP
flr-13	151	62	:	:	PUNCT
flr-13	151	63	precision	precision	NOUN
flr-13	151	64	=	=	SYM
flr-13	151	65	tp/(tp	tp/(tp	PROPN
flr-13	151	66	+	+	CCONJ
flr-13	151	67	fp	fp	X
flr-13	151	68	)	)	PUNCT
flr-13	151	69	.	.	PUNCT
flr-13	152	1	two	two	NUM
flr-13	152	2	other	other	ADJ
flr-13	152	3	measures	measure	NOUN
flr-13	152	4	,	,	PUNCT
flr-13	152	5	derived	derive	VERB
flr-13	152	6	from	from	ADP
flr-13	152	7	signal	signal	NOUN
flr-13	152	8	-	-	PUNCT
flr-13	152	9	detection	detection	NOUN
flr-13	152	10	theory	theory	NOUN
flr-13	152	11	(	(	PUNCT
flr-13	152	12	roc	roc	PROPN
flr-13	152	13	analysis	analysis	NOUN
flr-13	152	14	)	)	PUNCT
flr-13	152	15	,	,	PUNCT
flr-13	152	16	have	have	AUX
flr-13	152	17	also	also	ADV
flr-13	152	18	been	be	AUX
flr-13	152	19	used	use	VERB
flr-13	152	20	to	to	PART
flr-13	152	21	report	report	VERB
flr-13	152	22	the	the	DET
flr-13	152	23	characteristics	characteristic	NOUN
flr-13	152	24	of	of	ADP
flr-13	152	25	the	the	DET
flr-13	152	26	detection	detection	NOUN
flr-13	152	27	sensitivity	sensitivity	NOUN
flr-13	152	28	of	of	ADP
flr-13	152	29	the	the	DET
flr-13	152	30	system	system	NOUN
flr-13	152	31	.	.	PUNCT
flr-13	153	1	one	one	NUM
flr-13	153	2	of	of	ADP
flr-13	153	3	them	they	PRON
flr-13	153	4	is	be	AUX
flr-13	153	5	sensitivity	sensitivity	NOUN
flr-13	153	6	(	(	PUNCT
flr-13	153	7	similar	similar	ADJ
flr-13	153	8	to	to	PART
flr-13	153	9	recall	recall	VERB
flr-13	153	10	:	:	PUNCT
flr-13	153	11	the	the	DET
flr-13	153	12	proportion	proportion	NOUN
flr-13	153	13	of	of	ADP
flr-13	153	14	correctly	correctly	ADV
flr-13	153	15	identified	identify	VERB
flr-13	153	16	targets	target	NOUN
flr-13	153	17	,	,	PUNCT
flr-13	153	18	out	out	ADP
flr-13	153	19	of	of	ADP
flr-13	153	20	all	all	DET
flr-13	153	21	targets	target	NOUN
flr-13	153	22	m.	m.	NOUN
flr-13	153	23	f.	f.	PROPN
flr-13	153	24	musso	musso	PROPN
flr-13	153	25	et	et	PROPN
flr-13	153	26	al	al	PROPN
flr-13	153	27	.	.	PROPN
flr-13	153	28	49	49	NUM
flr-13	154	1	|	|	ADV
flr-13	154	2	f	f	NOUN
flr-13	154	3	l	l	NOUN
flr-13	154	4	r	r	NOUN
flr-13	154	5	presented	present	VERB
flr-13	154	6	in	in	ADP
flr-13	154	7	the	the	DET
flr-13	154	8	set	set	NOUN
flr-13	154	9	)	)	PUNCT
flr-13	154	10	,	,	PUNCT
flr-13	154	11	and	and	CCONJ
flr-13	154	12	which	which	PRON
flr-13	154	13	is	be	AUX
flr-13	154	14	expressed	express	VERB
flr-13	154	15	as	as	ADP
flr-13	154	16	sensitivity	sensitivity	NOUN
flr-13	154	17	=	=	SYM
flr-13	154	18	tp/(tp	tp/(tp	PROPN
flr-13	154	19	+	+	X
flr-13	154	20	fn	fn	NOUN
flr-13	154	21	)	)	PUNCT
flr-13	154	22	.	.	PUNCT
flr-13	155	1	the	the	DET
flr-13	155	2	other	other	ADJ
flr-13	155	3	is	be	AUX
flr-13	155	4	specificity	specificity	NOUN
flr-13	155	5	,	,	PUNCT
flr-13	155	6	defined	define	VERB
flr-13	155	7	as	as	ADP
flr-13	155	8	the	the	DET
flr-13	155	9	proportion	proportion	NOUN
flr-13	155	10	of	of	ADP
flr-13	155	11	correctly	correctly	ADV
flr-13	155	12	rejected	reject	VERB
flr-13	155	13	targets	target	NOUN
flr-13	155	14	from	from	ADP
flr-13	155	15	all	all	DET
flr-13	155	16	the	the	DET
flr-13	155	17	targets	target	NOUN
flr-13	155	18	that	that	PRON
flr-13	155	19	should	should	AUX
flr-13	155	20	have	have	AUX
flr-13	155	21	been	be	AUX
flr-13	155	22	rejected	reject	VERB
flr-13	155	23	by	by	ADP
flr-13	155	24	the	the	DET
flr-13	155	25	system	system	NOUN
flr-13	155	26	,	,	PUNCT
flr-13	155	27	and	and	CCONJ
flr-13	155	28	which	which	PRON
flr-13	155	29	is	be	AUX
flr-13	155	30	expressed	express	VERB
flr-13	155	31	as	as	ADP
flr-13	155	32	specificity	specificity	NOUN
flr-13	155	33	=	=	SYM
flr-13	155	34	tn/(tn	tn/(tn	PROPN
flr-13	155	35	+	+	CCONJ
flr-13	155	36	fp	fp	NOUN
flr-13	155	37	)	)	PUNCT
flr-13	155	38	.	.	PUNCT
flr-13	156	1	all	all	DET
flr-13	156	2	the	the	DET
flr-13	156	3	traditional	traditional	ADJ
flr-13	156	4	measures	measure	NOUN
flr-13	156	5	are	be	AUX
flr-13	156	6	typically	typically	ADV
flr-13	156	7	represented	represent	VERB
flr-13	156	8	in	in	ADP
flr-13	156	9	what	what	PRON
flr-13	156	10	is	be	AUX
flr-13	156	11	called	call	VERB
flr-13	156	12	a	a	DET
flr-13	156	13	“	"	PUNCT
flr-13	156	14	confusion	confusion	NOUN
flr-13	156	15	matrix	matrix	NOUN
flr-13	156	16	”	"	PUNCT
flr-13	156	17	representing	represent	VERB
flr-13	156	18	all	all	DET
flr-13	156	19	four	four	NUM
flr-13	156	20	outcomes	outcome	NOUN
flr-13	156	21	.	.	PUNCT
flr-13	157	1	in	in	ADP
flr-13	157	2	addition	addition	NOUN
flr-13	157	3	,	,	PUNCT
flr-13	157	4	the	the	DET
flr-13	157	5	evaluation	evaluation	NOUN
flr-13	157	6	of	of	ADP
flr-13	157	7	ann	ann	PROPN
flr-13	157	8	performance	performance	NOUN
flr-13	157	9	is	be	AUX
flr-13	157	10	also	also	ADV
flr-13	157	11	carried	carry	VERB
flr-13	157	12	out	out	ADP
flr-13	157	13	with	with	ADP
flr-13	157	14	another	another	DET
flr-13	157	15	summative	summative	ADJ
flr-13	157	16	measure	measure	NOUN
flr-13	157	17	,	,	PUNCT
flr-13	157	18	which	which	PRON
flr-13	157	19	is	be	AUX
flr-13	157	20	used	use	VERB
flr-13	157	21	to	to	PART
flr-13	157	22	account	account	VERB
flr-13	157	23	for	for	ADP
flr-13	157	24	the	the	DET
flr-13	157	25	somewhat	somewhat	ADV
flr-13	157	26	complementary	complementary	ADJ
flr-13	157	27	relationship	relationship	NOUN
flr-13	157	28	between	between	ADP
flr-13	157	29	precision	precision	NOUN
flr-13	157	30	and	and	CCONJ
flr-13	157	31	recall	recall	NOUN
flr-13	157	32	.	.	PUNCT
flr-13	158	1	this	this	DET
flr-13	158	2	measure	measure	NOUN
flr-13	158	3	is	be	AUX
flr-13	158	4	defined	define	VERB
flr-13	158	5	as	as	ADP
flr-13	158	6	f1	f1	NOUN
flr-13	158	7	,	,	PUNCT
flr-13	158	8	and	and	CCONJ
flr-13	158	9	is	be	AUX
flr-13	158	10	defined	define	VERB
flr-13	158	11	as	as	ADP
flr-13	158	12	f1	f1	NOUN
flr-13	158	13	=	=	PUNCT
flr-13	158	14	(	(	PUNCT
flr-13	158	15	2	2	NUM
flr-13	158	16	*	*	PUNCT
flr-13	158	17	precision	precision	NOUN
flr-13	158	18	*	*	PUNCT
flr-13	158	19	recall)/(precision	recall)/(precision	NOUN
flr-13	158	20	+	+	CCONJ
flr-13	158	21	recall	recall	NOUN
flr-13	158	22	)	)	PUNCT
flr-13	158	23	.	.	PUNCT
flr-13	159	1	such	such	DET
flr-13	159	2	a	a	DET
flr-13	159	3	definitional	definitional	ADJ
flr-13	159	4	expression	expression	NOUN
flr-13	159	5	of	of	ADP
flr-13	159	6	f1	f1	NOUN
flr-13	159	7	assumes	assume	VERB
flr-13	159	8	equal	equal	ADJ
flr-13	159	9	weights	weight	NOUN
flr-13	159	10	for	for	ADP
flr-13	159	11	precision	precision	NOUN
flr-13	159	12	and	and	CCONJ
flr-13	159	13	recall	recall	NOUN
flr-13	159	14	.	.	PUNCT
flr-13	160	1	this	this	DET
flr-13	160	2	assumption	assumption	NOUN
flr-13	160	3	can	can	AUX
flr-13	160	4	be	be	AUX
flr-13	160	5	modified	modify	VERB
flr-13	160	6	to	to	PART
flr-13	160	7	favour	favour	VERB
flr-13	160	8	either	either	CCONJ
flr-13	160	9	precision	precision	NOUN
flr-13	160	10	or	or	CCONJ
flr-13	160	11	recall	recall	NOUN
flr-13	160	12	,	,	PUNCT
flr-13	160	13	according	accord	VERB
flr-13	160	14	to	to	ADP
flr-13	160	15	the	the	DET
flr-13	160	16	utility	utility	NOUN
flr-13	160	17	and	and	CCONJ
flr-13	160	18	cost	cost	NOUN
flr-13	160	19	/	/	SYM
flr-13	160	20	benefit	benefit	NOUN
flr-13	160	21	ratio	ratio	NOUN
flr-13	160	22	of	of	ADP
flr-13	160	23	outcomes	outcome	NOUN
flr-13	160	24	favouring	favour	VERB
flr-13	160	25	either	either	CCONJ
flr-13	160	26	precision	precision	NOUN
flr-13	160	27	or	or	CCONJ
flr-13	160	28	recall	recall	VERB
flr-13	160	29	for	for	ADP
flr-13	160	30	any	any	DET
flr-13	160	31	given	give	VERB
flr-13	160	32	predictive	predictive	ADJ
flr-13	160	33	circumstance	circumstance	NOUN
flr-13	160	34	.	.	PUNCT
flr-13	161	1	2.6	2.6	NUM
flr-13	161	2	objectives	objective	NOUN
flr-13	161	3	and	and	CCONJ
flr-13	161	4	research	research	NOUN
flr-13	161	5	questions	question	NOUN
flr-13	161	6	the	the	DET
flr-13	161	7	objective	objective	NOUN
flr-13	161	8	of	of	ADP
flr-13	161	9	this	this	DET
flr-13	161	10	study	study	NOUN
flr-13	161	11	is	be	AUX
flr-13	161	12	to	to	PART
flr-13	161	13	identify	identify	VERB
flr-13	161	14	patterns	pattern	NOUN
flr-13	161	15	of	of	ADP
flr-13	161	16	variables	variable	NOUN
flr-13	161	17	that	that	PRON
flr-13	161	18	will	will	AUX
flr-13	161	19	allow	allow	VERB
flr-13	161	20	a	a	DET
flr-13	161	21	correct	correct	ADJ
flr-13	161	22	predictive	predictive	ADJ
flr-13	161	23	classification	classification	NOUN
flr-13	161	24	of	of	ADP
flr-13	161	25	three	three	NUM
flr-13	161	26	levels	level	NOUN
flr-13	161	27	of	of	ADP
flr-13	161	28	general	general	ADJ
flr-13	161	29	academic	academic	ADJ
flr-13	161	30	performance	performance	NOUN
flr-13	161	31	(	(	PUNCT
flr-13	161	32	gap	gap	NOUN
flr-13	161	33	)	)	PUNCT
flr-13	161	34	into	into	ADP
flr-13	161	35	:	:	PUNCT
flr-13	161	36	low	low	ADJ
flr-13	161	37	,	,	PUNCT
flr-13	161	38	middle	middle	ADJ
flr-13	161	39	and	and	CCONJ
flr-13	161	40	high	high	ADJ
flr-13	161	41	gap	gap	NOUN
flr-13	161	42	,	,	PUNCT
flr-13	161	43	measured	measure	VERB
flr-13	161	44	by	by	ADP
flr-13	161	45	the	the	DET
flr-13	161	46	grade	grade	NOUN
flr-13	161	47	-	-	PUNCT
flr-13	161	48	point	point	NOUN
flr-13	161	49	-	-	PUNCT
flr-13	161	50	average	average	NOUN
flr-13	161	51	(	(	PUNCT
flr-13	161	52	gpa	gpa	PROPN
flr-13	161	53	)	)	PUNCT
flr-13	161	54	.	.	PUNCT
flr-13	162	1	this	this	PRON
flr-13	162	2	was	be	AUX
flr-13	162	3	achieved	achieve	VERB
flr-13	162	4	by	by	ADP
flr-13	162	5	taking	take	VERB
flr-13	162	6	into	into	ADP
flr-13	162	7	consideration	consideration	NOUN
flr-13	162	8	basic	basic	ADJ
flr-13	162	9	cognitive	cognitive	ADJ
flr-13	162	10	processes	process	NOUN
flr-13	162	11	(	(	PUNCT
flr-13	162	12	working	work	VERB
flr-13	162	13	memory	memory	NOUN
flr-13	162	14	capacity	capacity	NOUN
flr-13	162	15	;	;	PUNCT
flr-13	162	16	alerting	alert	VERB
flr-13	162	17	,	,	PUNCT
flr-13	162	18	orienting	orienting	ADJ
flr-13	162	19	and	and	CCONJ
flr-13	162	20	executive	executive	ADJ
flr-13	162	21	attention	attention	NOUN
flr-13	162	22	)	)	PUNCT
flr-13	162	23	,	,	PUNCT
flr-13	162	24	learning	learn	VERB
flr-13	162	25	strategies	strategy	NOUN
flr-13	162	26	,	,	PUNCT
flr-13	162	27	and	and	CCONJ
flr-13	162	28	family	family	NOUN
flr-13	162	29	-	-	PUNCT
flr-13	162	30	social	social	ADJ
flr-13	162	31	background	background	NOUN
flr-13	162	32	factors	factor	NOUN
flr-13	162	33	.	.	PUNCT
flr-13	163	1	the	the	DET
flr-13	163	2	idea	idea	NOUN
flr-13	163	3	behind	behind	ADP
flr-13	163	4	this	this	DET
flr-13	163	5	paper	paper	NOUN
flr-13	163	6	is	be	AUX
flr-13	163	7	to	to	PART
flr-13	163	8	explore	explore	VERB
flr-13	163	9	new	new	ADJ
flr-13	163	10	approaches	approach	NOUN
flr-13	163	11	to	to	PART
flr-13	163	12	obtain	obtain	VERB
flr-13	163	13	predictive	predictive	ADJ
flr-13	163	14	classifications	classification	NOUN
flr-13	163	15	of	of	ADP
flr-13	163	16	learning	learn	VERB
flr-13	163	17	outcomes	outcome	NOUN
flr-13	163	18	,	,	PUNCT
flr-13	163	19	without	without	ADP
flr-13	163	20	the	the	DET
flr-13	163	21	use	use	NOUN
flr-13	163	22	of	of	ADP
flr-13	163	23	one	one	NUM
flr-13	163	24	specific	specific	ADJ
flr-13	163	25	test	test	NOUN
flr-13	163	26	,	,	PUNCT
flr-13	163	27	using	use	VERB
flr-13	163	28	a	a	DET
flr-13	163	29	large	large	ADJ
flr-13	163	30	number	number	NOUN
flr-13	163	31	of	of	ADP
flr-13	163	32	variables	variable	NOUN
flr-13	163	33	(	(	PUNCT
flr-13	163	34	cognitive	cognitive	ADJ
flr-13	163	35	and	and	CCONJ
flr-13	163	36	non	non	ADJ
flr-13	163	37	-	-	ADJ
flr-13	163	38	cognitive	cognitive	ADJ
flr-13	163	39	)	)	PUNCT
flr-13	163	40	that	that	PRON
flr-13	163	41	could	could	AUX
flr-13	163	42	better	well	ADV
flr-13	163	43	capture	capture	VERB
flr-13	163	44	the	the	DET
flr-13	163	45	true	true	ADJ
flr-13	163	46	complex	complex	ADJ
flr-13	163	47	composite	composite	NOUN
flr-13	163	48	of	of	ADP
flr-13	163	49	influences	influence	NOUN
flr-13	163	50	participating	participate	VERB
flr-13	163	51	in	in	ADP
flr-13	163	52	the	the	DET
flr-13	163	53	actual	actual	ADJ
flr-13	163	54	observed	observed	ADJ
flr-13	163	55	outcomes	outcome	NOUN
flr-13	163	56	from	from	ADP
flr-13	163	57	individual	individual	ADJ
flr-13	163	58	students	student	NOUN
flr-13	163	59	.	.	PUNCT
flr-13	164	1	in	in	ADP
flr-13	164	2	addition	addition	NOUN
flr-13	164	3	,	,	PUNCT
flr-13	164	4	it	it	PRON
flr-13	164	5	is	be	AUX
flr-13	164	6	another	another	DET
flr-13	164	7	objective	objective	NOUN
flr-13	164	8	of	of	ADP
flr-13	164	9	the	the	DET
flr-13	164	10	research	research	NOUN
flr-13	164	11	to	to	PART
flr-13	164	12	explore	explore	VERB
flr-13	164	13	the	the	DET
flr-13	164	14	differences	difference	NOUN
flr-13	164	15	in	in	ADP
flr-13	164	16	the	the	DET
flr-13	164	17	patterns	pattern	NOUN
flr-13	164	18	predicting	predict	VERB
flr-13	164	19	each	each	DET
flr-13	164	20	level	level	NOUN
flr-13	164	21	of	of	ADP
flr-13	164	22	performance	performance	NOUN
flr-13	164	23	(	(	PUNCT
flr-13	164	24	low	low	ADJ
flr-13	164	25	,	,	PUNCT
flr-13	164	26	middle	middle	ADJ
flr-13	164	27	and	and	CCONJ
flr-13	164	28	high	high	ADJ
flr-13	164	29	performance	performance	NOUN
flr-13	164	30	)	)	PUNCT
flr-13	164	31	to	to	PART
flr-13	164	32	inform	inform	VERB
flr-13	164	33	future	future	ADJ
flr-13	164	34	research	research	NOUN
flr-13	164	35	into	into	ADP
flr-13	164	36	the	the	DET
flr-13	164	37	causal	causal	ADJ
flr-13	164	38	factors	factor	NOUN
flr-13	164	39	generating	generate	VERB
flr-13	164	40	and	and	CCONJ
flr-13	164	41	participating	participate	VERB
flr-13	164	42	in	in	ADP
flr-13	164	43	those	those	DET
flr-13	164	44	sets	set	NOUN
flr-13	164	45	of	of	ADP
flr-13	164	46	identified	identify	VERB
flr-13	164	47	variables	variable	NOUN
flr-13	164	48	and	and	CCONJ
flr-13	164	49	that	that	PRON
flr-13	164	50	could	could	AUX
flr-13	164	51	explain	explain	VERB
flr-13	164	52	different	different	ADJ
flr-13	164	53	levels	level	NOUN
flr-13	164	54	of	of	ADP
flr-13	164	55	performance	performance	NOUN
flr-13	164	56	using	use	VERB
flr-13	164	57	artificial	artificial	ADJ
flr-13	164	58	neural	neural	ADJ
flr-13	164	59	networks	network	NOUN
flr-13	164	60	.	.	PUNCT
flr-13	165	1	of	of	ADP
flr-13	165	2	course	course	NOUN
flr-13	165	3	,	,	PUNCT
flr-13	165	4	previous	previous	ADJ
flr-13	165	5	academic	academic	ADJ
flr-13	165	6	performance	performance	NOUN
flr-13	165	7	could	could	AUX
flr-13	165	8	have	have	AUX
flr-13	165	9	been	be	AUX
flr-13	165	10	taken	take	VERB
flr-13	165	11	into	into	ADP
flr-13	165	12	account	account	NOUN
flr-13	165	13	to	to	PART
flr-13	165	14	facilitate	facilitate	VERB
flr-13	165	15	the	the	DET
flr-13	165	16	predictive	predictive	ADJ
flr-13	165	17	classification	classification	NOUN
flr-13	165	18	,	,	PUNCT
flr-13	165	19	but	but	CCONJ
flr-13	165	20	this	this	PRON
flr-13	165	21	was	be	AUX
flr-13	165	22	purposely	purposely	ADV
flr-13	165	23	avoided	avoid	VERB
flr-13	165	24	for	for	ADP
flr-13	165	25	two	two	NUM
flr-13	165	26	reasons	reason	NOUN
flr-13	165	27	:	:	PUNCT
flr-13	165	28	as	as	ADP
flr-13	165	29	a	a	DET
flr-13	165	30	proof	proof	NOUN
flr-13	165	31	-	-	PUNCT
flr-13	165	32	of	of	ADP
flr-13	165	33	-	-	PUNCT
flr-13	165	34	concept	concept	NOUN
flr-13	165	35	that	that	SCONJ
flr-13	165	36	other	other	ADJ
flr-13	165	37	variables	variable	NOUN
flr-13	165	38	are	be	AUX
flr-13	165	39	sufficient	sufficient	ADJ
flr-13	165	40	to	to	PART
flr-13	165	41	predict	predict	VERB
flr-13	165	42	academic	academic	ADJ
flr-13	165	43	performance	performance	NOUN
flr-13	165	44	,	,	PUNCT
flr-13	165	45	and	and	CCONJ
flr-13	165	46	to	to	PART
flr-13	165	47	highlight	highlight	VERB
flr-13	165	48	more	more	ADV
flr-13	165	49	clearly	clearly	ADV
flr-13	165	50	the	the	DET
flr-13	165	51	weight	weight	NOUN
flr-13	165	52	that	that	PRON
flr-13	165	53	each	each	PRON
flr-13	165	54	of	of	ADP
flr-13	165	55	these	these	DET
flr-13	165	56	other	other	ADJ
flr-13	165	57	variables	variable	NOUN
flr-13	165	58	has	have	VERB
flr-13	165	59	in	in	ADP
flr-13	165	60	the	the	DET
flr-13	165	61	determination	determination	NOUN
flr-13	165	62	of	of	ADP
flr-13	165	63	a	a	DET
flr-13	165	64	student‟s	student‟s	ADV
flr-13	165	65	academic	academic	ADJ
flr-13	165	66	performance	performance	NOUN
flr-13	165	67	.	.	PUNCT
flr-13	166	1	in	in	ADP
flr-13	166	2	order	order	NOUN
flr-13	166	3	to	to	PART
flr-13	166	4	explore	explore	VERB
flr-13	166	5	the	the	DET
flr-13	166	6	differences	difference	NOUN
flr-13	166	7	in	in	ADP
flr-13	166	8	the	the	DET
flr-13	166	9	patterns	pattern	NOUN
flr-13	166	10	predicting	predict	VERB
flr-13	166	11	each	each	DET
flr-13	166	12	level	level	NOUN
flr-13	166	13	of	of	ADP
flr-13	166	14	performance	performance	NOUN
flr-13	166	15	,	,	PUNCT
flr-13	166	16	three	three	NUM
flr-13	166	17	artificial	artificial	ADJ
flr-13	166	18	neural	neural	ADJ
flr-13	166	19	network	network	NOUN
flr-13	166	20	(	(	PUNCT
flr-13	166	21	ann	ann	PROPN
flr-13	166	22	)	)	PUNCT
flr-13	166	23	models	model	NOUN
flr-13	166	24	were	be	AUX
flr-13	166	25	developed	develop	VERB
flr-13	166	26	.	.	PUNCT
flr-13	167	1	two	two	NUM
flr-13	167	2	of	of	ADP
flr-13	167	3	them	they	PRON
flr-13	167	4	to	to	PART
flr-13	167	5	predict	predict	VERB
flr-13	167	6	the	the	DET
flr-13	167	7	students	student	NOUN
flr-13	167	8	who	who	PRON
flr-13	167	9	would	would	AUX
flr-13	167	10	be	be	AUX
flr-13	167	11	in	in	ADP
flr-13	167	12	each	each	PRON
flr-13	167	13	of	of	ADP
flr-13	167	14	the	the	DET
flr-13	167	15	extreme	extreme	ADJ
flr-13	167	16	performance	performance	NOUN
flr-13	167	17	levels	level	NOUN
flr-13	167	18	(	(	PUNCT
flr-13	167	19	low	low	ADJ
flr-13	167	20	33	33	NUM
flr-13	167	21	%	%	NOUN
flr-13	167	22	and	and	CCONJ
flr-13	167	23	high	high	ADJ
flr-13	167	24	33	33	NUM
flr-13	167	25	%	%	NOUN
flr-13	167	26	of	of	ADP
flr-13	167	27	gpa	gpa	PROPN
flr-13	167	28	)	)	PUNCT
flr-13	167	29	in	in	ADP
flr-13	167	30	order	order	NOUN
flr-13	167	31	to	to	PART
flr-13	167	32	analyse	analyse	VERB
flr-13	167	33	the	the	DET
flr-13	167	34	differences	difference	NOUN
flr-13	167	35	between	between	ADP
flr-13	167	36	the	the	DET
flr-13	167	37	patterns	pattern	NOUN
flr-13	167	38	of	of	ADP
flr-13	167	39	variables	variable	NOUN
flr-13	167	40	having	have	VERB
flr-13	167	41	the	the	DET
flr-13	167	42	most	most	ADV
flr-13	167	43	predictive	predictive	ADJ
flr-13	167	44	weight	weight	NOUN
flr-13	167	45	for	for	ADP
flr-13	167	46	each	each	DET
flr-13	167	47	group	group	NOUN
flr-13	167	48	,	,	PUNCT
flr-13	167	49	and	and	CCONJ
flr-13	167	50	thus	thus	ADV
flr-13	167	51	providing	provide	VERB
flr-13	167	52	information	information	NOUN
flr-13	167	53	on	on	ADP
flr-13	167	54	the	the	DET
flr-13	167	55	potentially	potentially	ADV
flr-13	167	56	different	different	ADJ
flr-13	167	57	processes	process	NOUN
flr-13	167	58	involved	involve	VERB
flr-13	167	59	in	in	ADP
flr-13	167	60	those	those	DET
flr-13	167	61	low	low	ADJ
flr-13	167	62	and	and	CCONJ
flr-13	167	63	high	high	ADJ
flr-13	167	64	performance	performance	NOUN
flr-13	167	65	outcomes	outcome	NOUN
flr-13	167	66	.	.	PUNCT
flr-13	168	1	a	a	DET
flr-13	168	2	third	third	ADJ
flr-13	168	3	ann	ann	PROPN
flr-13	168	4	was	be	AUX
flr-13	168	5	developed	develop	VERB
flr-13	168	6	,	,	PUNCT
flr-13	168	7	capable	capable	ADJ
flr-13	168	8	of	of	ADP
flr-13	168	9	accurately	accurately	ADV
flr-13	168	10	producing	produce	VERB
flr-13	168	11	a	a	DET
flr-13	168	12	predictive	predictive	ADJ
flr-13	168	13	classification	classification	NOUN
flr-13	168	14	for	for	ADP
flr-13	168	15	the	the	DET
flr-13	168	16	three	three	NUM
flr-13	168	17	levels	level	NOUN
flr-13	168	18	of	of	ADP
flr-13	168	19	performance	performance	NOUN
flr-13	168	20	simultaneously	simultaneously	ADV
flr-13	168	21	(	(	PUNCT
flr-13	168	22	low	low	ADJ
flr-13	168	23	33	33	NUM
flr-13	168	24	%	%	NOUN
flr-13	168	25	,	,	PUNCT
flr-13	168	26	middle	middle	ADJ
flr-13	168	27	33	33	NUM
flr-13	168	28	%	%	NOUN
flr-13	168	29	,	,	PUNCT
flr-13	168	30	and	and	CCONJ
flr-13	168	31	high	high	ADJ
flr-13	168	32	33	33	NUM
flr-13	168	33	%	%	NOUN
flr-13	168	34	)	)	PUNCT
flr-13	168	35	.	.	PUNCT
flr-13	169	1	this	this	DET
flr-13	169	2	final	final	ADJ
flr-13	169	3	ann	ann	PROPN
flr-13	169	4	model	model	NOUN
flr-13	169	5	was	be	AUX
flr-13	169	6	capable	capable	ADJ
flr-13	169	7	of	of	ADP
flr-13	169	8	finding	find	VERB
flr-13	169	9	the	the	DET
flr-13	169	10	common	common	ADJ
flr-13	169	11	patterns	pattern	NOUN
flr-13	169	12	that	that	PRON
flr-13	169	13	could	could	AUX
flr-13	169	14	predict	predict	VERB
flr-13	169	15	simultaneously	simultaneously	ADV
flr-13	169	16	all	all	DET
flr-13	169	17	performance	performance	NOUN
flr-13	169	18	groups	group	NOUN
flr-13	169	19	.	.	PUNCT
flr-13	170	1	the	the	DET
flr-13	170	2	relative	relative	ADJ
flr-13	170	3	importance	importance	NOUN
flr-13	170	4	of	of	ADP
flr-13	170	5	the	the	DET
flr-13	170	6	predictors	predictor	NOUN
flr-13	170	7	for	for	ADP
flr-13	170	8	each	each	DET
flr-13	170	9	network	network	NOUN
flr-13	170	10	was	be	AUX
flr-13	170	11	also	also	ADV
flr-13	170	12	analysed	analyse	VERB
flr-13	170	13	.	.	PUNCT
flr-13	171	1	the	the	DET
flr-13	171	2	predictive	predictive	ADJ
flr-13	171	3	capability	capability	NOUN
flr-13	171	4	of	of	ADP
flr-13	171	5	each	each	DET
flr-13	171	6	ann	ann	PROPN
flr-13	171	7	was	be	AUX
flr-13	171	8	systematically	systematically	ADV
flr-13	171	9	improved	improve	VERB
flr-13	171	10	by	by	ADP
flr-13	171	11	modifying	modify	VERB
flr-13	171	12	the	the	DET
flr-13	171	13	parameters	parameter	NOUN
flr-13	171	14	that	that	PRON
flr-13	171	15	determine	determine	VERB
flr-13	171	16	the	the	DET
flr-13	171	17	rate	rate	NOUN
flr-13	171	18	of	of	ADP
flr-13	171	19	learning	learning	NOUN
flr-13	171	20	,	,	PUNCT
flr-13	171	21	the	the	DET
flr-13	171	22	persistence	persistence	NOUN
flr-13	171	23	,	,	PUNCT
flr-13	171	24	momentum	momentum	NOUN
flr-13	171	25	,	,	PUNCT
flr-13	171	26	and	and	CCONJ
flr-13	171	27	stopping	stop	VERB
flr-13	171	28	criteria	criterion	NOUN
flr-13	171	29	,	,	PUNCT
flr-13	171	30	and	and	CCONJ
flr-13	171	31	the	the	DET
flr-13	171	32	type	type	NOUN
flr-13	171	33	of	of	ADP
flr-13	171	34	functions	function	NOUN
flr-13	171	35	used	use	VERB
flr-13	171	36	for	for	ADP
flr-13	171	37	weight	weight	NOUN
flr-13	171	38	adjustments	adjustment	NOUN
flr-13	171	39	.	.	PUNCT
flr-13	172	1	precision	precision	NOUN
flr-13	172	2	,	,	PUNCT
flr-13	172	3	sensitivity	sensitivity	NOUN
flr-13	172	4	,	,	PUNCT
flr-13	172	5	specificity	specificity	NOUN
flr-13	172	6	and	and	CCONJ
flr-13	172	7	accuracy	accuracy	NOUN
flr-13	172	8	of	of	ADP
flr-13	172	9	the	the	DET
flr-13	172	10	three	three	NUM
flr-13	172	11	networks	network	NOUN
flr-13	172	12	were	be	AUX
flr-13	172	13	obtained	obtain	VERB
flr-13	172	14	.	.	PUNCT
flr-13	173	1	in	in	ADP
flr-13	173	2	addition	addition	NOUN
flr-13	173	3	,	,	PUNCT
flr-13	173	4	the	the	DET
flr-13	173	5	correlation	correlation	NOUN
flr-13	173	6	between	between	ADP
flr-13	173	7	the	the	DET
flr-13	173	8	individual	individual	ADJ
flr-13	173	9	prediction	prediction	NOUN
flr-13	173	10	for	for	ADP
flr-13	173	11	each	each	DET
flr-13	173	12	student	student	NOUN
flr-13	173	13	and	and	CCONJ
flr-13	173	14	the	the	DET
flr-13	173	15	actual	actual	ADJ
flr-13	173	16	observed	observed	ADJ
flr-13	173	17	gpa	gpa	PROPN
flr-13	173	18	was	be	AUX
flr-13	173	19	established	establish	VERB
flr-13	173	20	,	,	PUNCT
flr-13	173	21	and	and	CCONJ
flr-13	173	22	proved	prove	VERB
flr-13	173	23	to	to	PART
flr-13	173	24	be	be	AUX
flr-13	173	25	very	very	ADV
flr-13	173	26	high	high	ADJ
flr-13	173	27	.	.	PUNCT
flr-13	174	1	the	the	DET
flr-13	174	2	main	main	ADJ
flr-13	174	3	research	research	NOUN
flr-13	174	4	questions	question	NOUN
flr-13	174	5	of	of	ADP
flr-13	174	6	this	this	DET
flr-13	174	7	study	study	NOUN
flr-13	174	8	are	be	AUX
flr-13	174	9	:	:	PUNCT
flr-13	174	10	how	how	SCONJ
flr-13	174	11	accurately	accurately	ADV
flr-13	174	12	can	can	AUX
flr-13	174	13	different	different	ADJ
flr-13	174	14	levels	level	NOUN
flr-13	174	15	of	of	ADP
flr-13	174	16	academic	academic	ADJ
flr-13	174	17	performance	performance	NOUN
flr-13	174	18	in	in	ADP
flr-13	174	19	higher	high	ADJ
flr-13	174	20	education	education	NOUN
flr-13	174	21	be	be	AUX
flr-13	174	22	predicted	predict	VERB
flr-13	174	23	by	by	ADP
flr-13	174	24	working	working	NOUN
flr-13	174	25	memory	memory	NOUN
flr-13	174	26	capacity	capacity	NOUN
flr-13	174	27	,	,	PUNCT
flr-13	174	28	attentional	attentional	ADJ
flr-13	174	29	networks	network	NOUN
flr-13	174	30	,	,	PUNCT
flr-13	174	31	learning	learn	VERB
flr-13	174	32	strategies	strategy	NOUN
flr-13	174	33	and	and	CCONJ
flr-13	174	34	background	background	NOUN
flr-13	174	35	variables	variable	NOUN
flr-13	174	36	when	when	SCONJ
flr-13	174	37	used	use	VERB
flr-13	174	38	as	as	ADP
flr-13	174	39	inputs	input	NOUN
flr-13	174	40	in	in	ADP
flr-13	174	41	a	a	DET
flr-13	174	42	neural	neural	ADJ
flr-13	174	43	network	network	NOUN
flr-13	174	44	model	model	NOUN
flr-13	174	45	?	?	PUNCT
flr-13	175	1	what	what	PRON
flr-13	175	2	is	be	AUX
flr-13	175	3	the	the	DET
flr-13	175	4	relative	relative	ADJ
flr-13	175	5	importance	importance	NOUN
flr-13	175	6	of	of	ADP
flr-13	175	7	the	the	DET
flr-13	175	8	predictor	predictor	NOUN
flr-13	175	9	variables	variable	NOUN
flr-13	175	10	and	and	CCONJ
flr-13	175	11	the	the	DET
flr-13	175	12	observed	observe	VERB
flr-13	175	13	differences	difference	NOUN
flr-13	175	14	for	for	ADP
flr-13	175	15	each	each	DET
flr-13	175	16	performance	performance	NOUN
flr-13	175	17	level	level	NOUN
flr-13	175	18	category	category	NOUN
flr-13	175	19	?	?	PUNCT
flr-13	176	1	m.	m.	PROPN
flr-13	176	2	f.	f.	PROPN
flr-13	176	3	musso	musso	PROPN
flr-13	176	4	et	et	PROPN
flr-13	176	5	al	al	PROPN
flr-13	176	6	.	.	PROPN
flr-13	177	1	50	50	NUM
flr-13	178	1	|	|	NOUN
flr-13	178	2	f	f	NOUN
flr-13	178	3	l	l	NOUN
flr-13	178	4	r	r	NOUN
flr-13	178	5	3	3	NUM
flr-13	178	6	.	.	NOUN
flr-13	178	7	method	method	VERB
flr-13	178	8	3.1	3.1	NUM
flr-13	178	9	participants	participant	NOUN
flr-13	178	10	the	the	DET
flr-13	178	11	total	total	ADJ
flr-13	178	12	sample	sample	NOUN
flr-13	178	13	included	include	VERB
flr-13	178	14	864	864	NUM
flr-13	178	15	university	university	NOUN
flr-13	178	16	students	student	NOUN
flr-13	178	17	,	,	PUNCT
flr-13	178	18	of	of	ADP
flr-13	178	19	both	both	DET
flr-13	178	20	genders	gender	NOUN
flr-13	178	21	(	(	PUNCT
flr-13	178	22	male	male	NOUN
flr-13	178	23	45.4	45.4	NUM
flr-13	178	24	%	%	NOUN
flr-13	178	25	;	;	PUNCT
flr-13	178	26	female	female	ADJ
flr-13	178	27	54.6	54.6	NUM
flr-13	178	28	%	%	NOUN
flr-13	178	29	)	)	PUNCT
flr-13	178	30	,	,	PUNCT
flr-13	178	31	ages	age	NOUN
flr-13	178	32	between	between	ADP
flr-13	178	33	18	18	NUM
flr-13	178	34	and	and	CCONJ
flr-13	178	35	25	25	NUM
flr-13	178	36	(	(	PUNCT
flr-13	178	37	mage	mage	NOUN
flr-13	178	38	=	=	SYM
flr-13	178	39	20.38	20.38	NUM
flr-13	178	40	,	,	PUNCT
flr-13	178	41	sd	sd	ADP
flr-13	178	42	=	=	SYM
flr-13	178	43	3.78	3.78	NUM
flr-13	178	44	)	)	PUNCT
flr-13	178	45	,	,	PUNCT
flr-13	178	46	recently	recently	ADV
flr-13	178	47	enrolled	enrol	VERB
flr-13	178	48	in	in	ADP
flr-13	178	49	the	the	DET
flr-13	178	50	first	first	ADJ
flr-13	178	51	year	year	NOUN
flr-13	178	52	in	in	ADP
flr-13	178	53	several	several	ADJ
flr-13	178	54	different	different	ADJ
flr-13	178	55	disciplines	discipline	NOUN
flr-13	178	56	(	(	PUNCT
flr-13	178	57	psychology	psychology	NOUN
flr-13	178	58	,	,	PUNCT
flr-13	178	59	engineering	engineering	NOUN
flr-13	178	60	,	,	PUNCT
flr-13	178	61	medicine	medicine	NOUN
flr-13	178	62	,	,	PUNCT
flr-13	178	63	law	law	NOUN
flr-13	178	64	,	,	PUNCT
flr-13	178	65	social	social	ADJ
flr-13	178	66	communication	communication	NOUN
flr-13	178	67	,	,	PUNCT
flr-13	178	68	business	business	NOUN
flr-13	178	69	and	and	CCONJ
flr-13	178	70	marketing	marketing	NOUN
flr-13	178	71	)	)	PUNCT
flr-13	178	72	,	,	PUNCT
flr-13	178	73	in	in	ADP
flr-13	178	74	three	three	NUM
flr-13	178	75	private	private	ADJ
flr-13	178	76	universities	university	NOUN
flr-13	178	77	in	in	ADP
flr-13	178	78	argentina	argentina	PROPN
flr-13	178	79	,	,	PUNCT
flr-13	178	80	during	during	ADP
flr-13	178	81	the	the	DET
flr-13	178	82	2009	2009	NUM
flr-13	178	83	-	-	SYM
flr-13	178	84	2011	2011	NUM
flr-13	178	85	academic	academic	ADJ
flr-13	178	86	years	year	NOUN
flr-13	178	87	.	.	PUNCT
flr-13	179	1	in	in	ADP
flr-13	179	2	all	all	PRON
flr-13	179	3	,	,	PUNCT
flr-13	179	4	67.8	67.8	NUM
flr-13	179	5	%	%	NOUN
flr-13	179	6	of	of	ADP
flr-13	179	7	the	the	DET
flr-13	179	8	sample	sample	NOUN
flr-13	179	9	was	be	AUX
flr-13	179	10	17	17	NUM
flr-13	179	11	to	to	PART
flr-13	179	12	20	20	NUM
flr-13	179	13	years	year	NOUN
flr-13	179	14	old	old	ADJ
flr-13	179	15	,	,	PUNCT
flr-13	179	16	24.7	24.7	NUM
flr-13	179	17	%	%	NOUN
flr-13	179	18	was	be	AUX
flr-13	179	19	21	21	NUM
flr-13	179	20	-	-	SYM
flr-13	179	21	25	25	NUM
flr-13	179	22	years	year	NOUN
flr-13	179	23	old	old	ADJ
flr-13	179	24	,	,	PUNCT
flr-13	179	25	and	and	CCONJ
flr-13	179	26	7.5	7.5	NUM
flr-13	179	27	%	%	NOUN
flr-13	179	28	was	be	AUX
flr-13	179	29	older	old	ADJ
flr-13	179	30	than	than	ADP
flr-13	179	31	25	25	NUM
flr-13	179	32	years	year	NOUN
flr-13	179	33	.	.	PUNCT
flr-13	180	1	the	the	DET
flr-13	180	2	students	student	NOUN
flr-13	180	3	in	in	ADP
flr-13	180	4	the	the	DET
flr-13	180	5	sample	sample	NOUN
flr-13	180	6	came	come	VERB
flr-13	180	7	from	from	ADP
flr-13	180	8	private	private	ADJ
flr-13	180	9	religious	religious	ADJ
flr-13	180	10	secondary	secondary	ADJ
flr-13	180	11	schools	school	NOUN
flr-13	180	12	(	(	PUNCT
flr-13	180	13	48.5	48.5	NUM
flr-13	180	14	%	%	NOUN
flr-13	180	15	)	)	PUNCT
flr-13	180	16	,	,	PUNCT
flr-13	180	17	private	private	ADJ
flr-13	180	18	non	non	ADJ
flr-13	180	19	-	-	ADJ
flr-13	180	20	religious	religious	ADJ
flr-13	180	21	schools	school	NOUN
flr-13	180	22	(	(	PUNCT
flr-13	180	23	19	19	NUM
flr-13	180	24	%	%	NOUN
flr-13	180	25	)	)	PUNCT
flr-13	180	26	,	,	PUNCT
flr-13	180	27	private	private	ADJ
flr-13	180	28	bilingual	bilingual	ADJ
flr-13	180	29	schools	school	NOUN
flr-13	180	30	(	(	PUNCT
flr-13	180	31	15.4	15.4	NUM
flr-13	180	32	%	%	NOUN
flr-13	180	33	)	)	PUNCT
flr-13	180	34	,	,	PUNCT
flr-13	180	35	public	public	ADJ
flr-13	180	36	secondary	secondary	ADJ
flr-13	180	37	schools	school	NOUN
flr-13	180	38	(	(	PUNCT
flr-13	180	39	15	15	NUM
flr-13	180	40	%	%	NOUN
flr-13	180	41	)	)	PUNCT
flr-13	180	42	,	,	PUNCT
flr-13	180	43	and	and	CCONJ
flr-13	180	44	2.1	2.1	NUM
flr-13	180	45	%	%	NOUN
flr-13	180	46	from	from	ADP
flr-13	180	47	international	international	ADJ
flr-13	180	48	community	community	NOUN
flr-13	180	49	schools	school	NOUN
flr-13	180	50	.	.	PUNCT
flr-13	181	1	all	all	DET
flr-13	181	2	student	student	NOUN
flr-13	181	3	data	datum	NOUN
flr-13	181	4	(	(	PUNCT
flr-13	181	5	predictors	predictor	NOUN
flr-13	181	6	)	)	PUNCT
flr-13	181	7	was	be	AUX
flr-13	181	8	collected	collect	VERB
flr-13	181	9	at	at	ADP
flr-13	181	10	the	the	DET
flr-13	181	11	beginning	beginning	NOUN
flr-13	181	12	of	of	ADP
flr-13	181	13	the	the	DET
flr-13	181	14	corresponding	corresponding	ADJ
flr-13	181	15	academic	academic	ADJ
flr-13	181	16	year	year	NOUN
flr-13	181	17	,	,	PUNCT
flr-13	181	18	and	and	CCONJ
flr-13	181	19	the	the	DET
flr-13	181	20	dependent	dependent	ADJ
flr-13	181	21	variable	variable	NOUN
flr-13	181	22	(	(	PUNCT
flr-13	181	23	gpa	gpa	PROPN
flr-13	181	24	)	)	PUNCT
flr-13	181	25	was	be	AUX
flr-13	181	26	collected	collect	VERB
flr-13	181	27	at	at	ADP
flr-13	181	28	the	the	DET
flr-13	181	29	end	end	NOUN
flr-13	181	30	of	of	ADP
flr-13	181	31	the	the	DET
flr-13	181	32	same	same	ADJ
flr-13	181	33	academic	academic	ADJ
flr-13	181	34	year	year	NOUN
flr-13	181	35	.	.	PUNCT
flr-13	182	1	an	an	DET
flr-13	182	2	80	80	NUM
flr-13	182	3	%	%	NOUN
flr-13	182	4	math	math	NOUN
flr-13	182	5	accuracy	accuracy	NOUN
flr-13	182	6	criterion	criterion	NOUN
flr-13	182	7	was	be	AUX
flr-13	182	8	imposed	impose	VERB
flr-13	182	9	for	for	ADP
flr-13	182	10	all	all	DET
flr-13	182	11	participants	participant	NOUN
flr-13	182	12	in	in	ADP
flr-13	182	13	the	the	DET
flr-13	182	14	automated	automate	VERB
flr-13	182	15	operation	operation	NOUN
flr-13	182	16	span	span	NOUN
flr-13	182	17	(	(	PUNCT
flr-13	182	18	unsworth	unsworth	NOUN
flr-13	182	19	et	et	PROPN
flr-13	182	20	al	al	PROPN
flr-13	182	21	.	.	PROPN
flr-13	182	22	,	,	PUNCT
flr-13	182	23	2005	2005	NUM
flr-13	182	24	)	)	PUNCT
flr-13	182	25	.	.	PUNCT
flr-13	183	1	therefore	therefore	ADV
flr-13	183	2	,	,	PUNCT
flr-13	183	3	they	they	PRON
flr-13	183	4	were	be	AUX
flr-13	183	5	encouraged	encourage	VERB
flr-13	183	6	to	to	PART
flr-13	183	7	keep	keep	VERB
flr-13	183	8	their	their	PRON
flr-13	183	9	math	math	NOUN
flr-13	183	10	accuracy	accuracy	NOUN
flr-13	183	11	at	at	ADP
flr-13	183	12	or	or	CCONJ
flr-13	183	13	above	above	ADP
flr-13	183	14	80	80	NUM
flr-13	183	15	%	%	NOUN
flr-13	183	16	at	at	ADP
flr-13	183	17	all	all	DET
flr-13	183	18	times	time	NOUN
flr-13	183	19	(	(	PUNCT
flr-13	183	20	to	to	PART
flr-13	183	21	insure	insure	VERB
flr-13	183	22	that	that	SCONJ
flr-13	183	23	the	the	DET
flr-13	183	24	interfering	interfere	VERB
flr-13	183	25	task	task	NOUN
flr-13	183	26	was	be	AUX
flr-13	183	27	actually	actually	ADV
flr-13	183	28	being	be	AUX
flr-13	183	29	performed	perform	VERB
flr-13	183	30	)	)	PUNCT
flr-13	183	31	.	.	PUNCT
flr-13	184	1	as	as	ADP
flr-13	184	2	a	a	DET
flr-13	184	3	consequence	consequence	NOUN
flr-13	184	4	of	of	ADP
flr-13	184	5	this	this	DET
flr-13	184	6	criterion	criterion	NOUN
flr-13	184	7	,	,	PUNCT
flr-13	184	8	78	78	NUM
flr-13	184	9	participants	participant	NOUN
flr-13	184	10	were	be	AUX
flr-13	184	11	excluded	exclude	VERB
flr-13	184	12	from	from	ADP
flr-13	184	13	the	the	DET
flr-13	184	14	analyses	analysis	NOUN
flr-13	184	15	.	.	PUNCT
flr-13	185	1	the	the	DET
flr-13	185	2	final	final	ADJ
flr-13	185	3	sample	sample	NOUN
flr-13	185	4	consisted	consist	VERB
flr-13	185	5	of	of	ADP
flr-13	185	6	786	786	NUM
flr-13	185	7	students	student	NOUN
flr-13	185	8	.	.	PUNCT
flr-13	186	1	3.2	3.2	NUM
flr-13	186	2	instruments	instrument	NOUN
flr-13	186	3	3.2.1	3.2.1	NUM
flr-13	186	4	attention	attention	NOUN
flr-13	186	5	network	network	NOUN
flr-13	186	6	test	test	NOUN
flr-13	186	7	(	(	PUNCT
flr-13	186	8	ant	ant	PROPN
flr-13	186	9	)	)	PUNCT
flr-13	186	10	(	(	PUNCT
flr-13	186	11	fan	fan	NOUN
flr-13	186	12	et	et	PROPN
flr-13	186	13	al	al	PROPN
flr-13	186	14	.	.	PROPN
flr-13	186	15	,	,	PUNCT
flr-13	186	16	2002	2002	NUM
flr-13	186	17	)	)	PUNCT
flr-13	186	18	this	this	DET
flr-13	186	19	computerized	computerized	ADJ
flr-13	186	20	task	task	NOUN
flr-13	186	21	provides	provide	VERB
flr-13	186	22	a	a	DET
flr-13	186	23	measure	measure	NOUN
flr-13	186	24	for	for	ADP
flr-13	186	25	each	each	PRON
flr-13	186	26	of	of	ADP
flr-13	186	27	the	the	DET
flr-13	186	28	three	three	NUM
flr-13	186	29	anatomically	anatomically	ADV
flr-13	186	30	defined	define	VERB
flr-13	186	31	attentional	attentional	ADJ
flr-13	186	32	networks	network	NOUN
flr-13	186	33	:	:	PUNCT
flr-13	186	34	alerting	alert	VERB
flr-13	186	35	,	,	PUNCT
flr-13	186	36	orienting	orienting	NOUN
flr-13	186	37	,	,	PUNCT
flr-13	186	38	and	and	CCONJ
flr-13	186	39	executive	executive	NOUN
flr-13	186	40	.	.	PUNCT
flr-13	187	1	the	the	DET
flr-13	187	2	ant	ant	NOUN
flr-13	187	3	is	be	AUX
flr-13	187	4	a	a	DET
flr-13	187	5	combination	combination	NOUN
flr-13	187	6	of	of	ADP
flr-13	187	7	the	the	DET
flr-13	187	8	cued	cued	ADJ
flr-13	187	9	reaction	reaction	NOUN
flr-13	187	10	time	time	NOUN
flr-13	187	11	(	(	PUNCT
flr-13	187	12	posner	posner	NOUN
flr-13	187	13	,	,	PUNCT
flr-13	187	14	1980	1980	NUM
flr-13	187	15	)	)	PUNCT
flr-13	187	16	and	and	CCONJ
flr-13	187	17	the	the	DET
flr-13	187	18	flanker	flanker	NOUN
flr-13	187	19	test	test	NOUN
flr-13	187	20	(	(	PUNCT
flr-13	187	21	eriksen	eriksen	PROPN
flr-13	187	22	&	&	CCONJ
flr-13	187	23	eriksen	eriksen	PROPN
flr-13	187	24	,	,	PUNCT
flr-13	187	25	1974	1974	NUM
flr-13	187	26	)	)	PUNCT
flr-13	187	27	.	.	PUNCT
flr-13	188	1	the	the	DET
flr-13	188	2	participant	participant	NOUN
flr-13	188	3	saw	see	VERB
flr-13	188	4	an	an	DET
flr-13	188	5	arrow	arrow	NOUN
flr-13	188	6	on	on	ADP
flr-13	188	7	the	the	DET
flr-13	188	8	screen	screen	NOUN
flr-13	188	9	that	that	SCONJ
flr-13	188	10	,	,	PUNCT
flr-13	188	11	on	on	ADP
flr-13	188	12	some	some	DET
flr-13	188	13	trials	trial	NOUN
flr-13	188	14	,	,	PUNCT
flr-13	188	15	was	be	AUX
flr-13	188	16	flanked	flank	VERB
flr-13	188	17	by	by	ADP
flr-13	188	18	two	two	NUM
flr-13	188	19	arrows	arrow	NOUN
flr-13	188	20	to	to	ADP
flr-13	188	21	the	the	DET
flr-13	188	22	left	left	NOUN
flr-13	188	23	and	and	CCONJ
flr-13	188	24	two	two	NUM
flr-13	188	25	arrows	arrow	NOUN
flr-13	188	26	to	to	ADP
flr-13	188	27	the	the	DET
flr-13	188	28	right	right	NOUN
flr-13	188	29	.	.	PUNCT
flr-13	189	1	participants	participant	NOUN
flr-13	189	2	were	be	AUX
flr-13	189	3	asked	ask	VERB
flr-13	189	4	to	to	PART
flr-13	189	5	determine	determine	VERB
flr-13	189	6	when	when	SCONJ
flr-13	189	7	the	the	DET
flr-13	189	8	central	central	ADJ
flr-13	189	9	arrow	arrow	NOUN
flr-13	189	10	points	point	NOUN
flr-13	189	11	left	leave	VERB
flr-13	189	12	or	or	CCONJ
flr-13	189	13	right	right	ADJ
flr-13	189	14	,	,	PUNCT
flr-13	189	15	by	by	ADP
flr-13	189	16	two	two	NUM
flr-13	189	17	mouse	mouse	NOUN
flr-13	189	18	buttons	button	NOUN
flr-13	189	19	(	(	PUNCT
flr-13	189	20	leftright	leftright	NOUN
flr-13	189	21	)	)	PUNCT
flr-13	189	22	.	.	PUNCT
flr-13	190	1	they	they	PRON
flr-13	190	2	were	be	AUX
flr-13	190	3	instructed	instruct	VERB
flr-13	190	4	to	to	PART
flr-13	190	5	focus	focus	VERB
flr-13	190	6	on	on	ADP
flr-13	190	7	a	a	DET
flr-13	190	8	centrally	centrally	ADV
flr-13	190	9	located	locate	VERB
flr-13	190	10	fixation	fixation	NOUN
flr-13	190	11	cross	cross	NOUN
flr-13	190	12	throughout	throughout	ADP
flr-13	190	13	the	the	DET
flr-13	190	14	task	task	NOUN
flr-13	190	15	,	,	PUNCT
flr-13	190	16	and	and	CCONJ
flr-13	190	17	to	to	PART
flr-13	190	18	respond	respond	VERB
flr-13	190	19	as	as	ADV
flr-13	190	20	quickly	quickly	ADV
flr-13	190	21	and	and	CCONJ
flr-13	190	22	accurately	accurately	ADV
flr-13	190	23	as	as	ADP
flr-13	190	24	possible	possible	ADJ
flr-13	190	25	.	.	PUNCT
flr-13	191	1	during	during	ADP
flr-13	191	2	the	the	DET
flr-13	191	3	practice	practice	NOUN
flr-13	191	4	trials	trial	NOUN
flr-13	191	5	,	,	PUNCT
flr-13	191	6	but	but	CCONJ
flr-13	191	7	not	not	PART
flr-13	191	8	during	during	ADP
flr-13	191	9	the	the	DET
flr-13	191	10	experimental	experimental	ADJ
flr-13	191	11	trials	trial	NOUN
flr-13	191	12	,	,	PUNCT
flr-13	191	13	subjects	subject	NOUN
flr-13	191	14	received	receive	VERB
flr-13	191	15	feedback	feedback	NOUN
flr-13	191	16	from	from	ADP
flr-13	191	17	the	the	DET
flr-13	191	18	computer	computer	NOUN
flr-13	191	19	on	on	ADP
flr-13	191	20	their	their	PRON
flr-13	191	21	speed	speed	NOUN
flr-13	191	22	and	and	CCONJ
flr-13	191	23	accuracy	accuracy	NOUN
flr-13	191	24	.	.	PUNCT
flr-13	192	1	the	the	DET
flr-13	192	2	practice	practice	NOUN
flr-13	192	3	trials	trial	NOUN
flr-13	192	4	took	take	VERB
flr-13	192	5	approximately	approximately	ADV
flr-13	192	6	2	2	NUM
flr-13	192	7	minutes	minute	NOUN
flr-13	192	8	and	and	CCONJ
flr-13	192	9	each	each	PRON
flr-13	192	10	of	of	ADP
flr-13	192	11	the	the	DET
flr-13	192	12	three	three	NUM
flr-13	192	13	experimental	experimental	ADJ
flr-13	192	14	blocks	block	NOUN
flr-13	192	15	took	take	VERB
flr-13	192	16	approximately	approximately	ADV
flr-13	192	17	5	5	NUM
flr-13	192	18	minutes	minute	NOUN
flr-13	192	19	.	.	PUNCT
flr-13	193	1	the	the	DET
flr-13	193	2	whole	whole	ADJ
flr-13	193	3	experiment	experiment	NOUN
flr-13	193	4	took	take	VERB
flr-13	193	5	about	about	ADV
flr-13	193	6	twenty	twenty	NUM
flr-13	193	7	minutes	minute	NOUN
flr-13	193	8	.	.	PUNCT
flr-13	194	1	the	the	DET
flr-13	194	2	measure	measure	NOUN
flr-13	194	3	for	for	ADP
flr-13	194	4	(	(	PUNCT
flr-13	194	5	general	general	ADJ
flr-13	194	6	)	)	PUNCT
flr-13	194	7	attention	attention	NOUN
flr-13	194	8	is	be	AUX
flr-13	194	9	the	the	DET
flr-13	194	10	average	average	ADJ
flr-13	194	11	response	response	NOUN
flr-13	194	12	time	time	NOUN
flr-13	194	13	regardless	regardless	ADV
flr-13	194	14	of	of	ADP
flr-13	194	15	the	the	DET
flr-13	194	16	cues	cue	NOUN
flr-13	194	17	or	or	CCONJ
flr-13	194	18	flankers	flanker	NOUN
flr-13	194	19	.	.	PUNCT
flr-13	195	1	to	to	PART
flr-13	195	2	analyse	analyse	VERB
flr-13	195	3	the	the	DET
flr-13	195	4	effect	effect	NOUN
flr-13	195	5	of	of	ADP
flr-13	195	6	the	the	DET
flr-13	195	7	three	three	NUM
flr-13	195	8	attentional	attentional	ADJ
flr-13	195	9	networks	network	NOUN
flr-13	195	10	,	,	PUNCT
flr-13	195	11	a	a	DET
flr-13	195	12	set	set	NOUN
flr-13	195	13	of	of	ADP
flr-13	195	14	cognitive	cognitive	ADJ
flr-13	195	15	subtractions	subtraction	NOUN
flr-13	195	16	described	describe	VERB
flr-13	195	17	by	by	ADP
flr-13	195	18	fan	fan	PROPN
flr-13	195	19	et	et	PROPN
flr-13	195	20	al	al	PROPN
flr-13	195	21	.	.	PROPN
flr-13	196	1	(	(	PUNCT
flr-13	196	2	2002	2002	NUM
flr-13	196	3	)	)	PUNCT
flr-13	196	4	were	be	AUX
flr-13	196	5	used	use	VERB
flr-13	196	6	.	.	PUNCT
flr-13	197	1	the	the	DET
flr-13	197	2	efficiency	efficiency	NOUN
flr-13	197	3	of	of	ADP
flr-13	197	4	the	the	DET
flr-13	197	5	three	three	NUM
flr-13	197	6	attentional	attentional	ADJ
flr-13	197	7	networks	network	NOUN
flr-13	197	8	is	be	AUX
flr-13	197	9	assessed	assess	VERB
flr-13	197	10	by	by	ADP
flr-13	197	11	measuring	measure	VERB
flr-13	197	12	how	how	SCONJ
flr-13	197	13	response	response	NOUN
flr-13	197	14	times	time	NOUN
flr-13	197	15	are	be	AUX
flr-13	197	16	influenced	influence	VERB
flr-13	197	17	by	by	ADP
flr-13	197	18	alerting	alert	VERB
flr-13	197	19	cues	cue	NOUN
flr-13	197	20	,	,	PUNCT
flr-13	197	21	spatial	spatial	ADJ
flr-13	197	22	cues	cue	NOUN
flr-13	197	23	,	,	PUNCT
flr-13	197	24	and	and	CCONJ
flr-13	197	25	flankers	flanker	NOUN
flr-13	197	26	(	(	PUNCT
flr-13	197	27	fan	fan	NOUN
flr-13	197	28	et	et	PROPN
flr-13	197	29	al	al	PROPN
flr-13	197	30	.	.	PROPN
flr-13	197	31	,	,	PUNCT
flr-13	197	32	2002	2002	NUM
flr-13	197	33	)	)	PUNCT
flr-13	197	34	.	.	PUNCT
flr-13	198	1	the	the	DET
flr-13	198	2	alerting	alerting	ADJ
flr-13	198	3	effect	effect	NOUN
flr-13	198	4	was	be	AUX
flr-13	198	5	calculated	calculate	VERB
flr-13	198	6	by	by	ADP
flr-13	198	7	subtracting	subtract	VERB
flr-13	198	8	the	the	DET
flr-13	198	9	mean	mean	ADJ
flr-13	198	10	response	response	NOUN
flr-13	198	11	time	time	NOUN
flr-13	198	12	of	of	ADP
flr-13	198	13	the	the	DET
flr-13	198	14	double	double	ADJ
flr-13	198	15	-	-	PUNCT
flr-13	198	16	cue	cue	NOUN
flr-13	198	17	conditions	condition	NOUN
flr-13	198	18	from	from	ADP
flr-13	198	19	the	the	DET
flr-13	198	20	mean	mean	ADJ
flr-13	198	21	response	response	NOUN
flr-13	198	22	time	time	NOUN
flr-13	198	23	of	of	ADP
flr-13	198	24	the	the	DET
flr-13	198	25	no	no	DET
flr-13	198	26	-	-	PUNCT
flr-13	198	27	cue	cue	NOUN
flr-13	198	28	conditions	condition	NOUN
flr-13	198	29	.	.	PUNCT
flr-13	199	1	for	for	ADP
flr-13	199	2	the	the	DET
flr-13	199	3	orienting	orienting	ADJ
flr-13	199	4	effect	effect	NOUN
flr-13	199	5	,	,	PUNCT
flr-13	199	6	the	the	DET
flr-13	199	7	mean	mean	ADJ
flr-13	199	8	response	response	NOUN
flr-13	199	9	time	time	NOUN
flr-13	199	10	of	of	ADP
flr-13	199	11	the	the	DET
flr-13	199	12	spatial	spatial	ADJ
flr-13	199	13	cue	cue	NOUN
flr-13	199	14	conditions	condition	NOUN
flr-13	199	15	(	(	PUNCT
flr-13	199	16	up	up	ADP
flr-13	199	17	and	and	CCONJ
flr-13	199	18	down	down	ADV
flr-13	199	19	)	)	PUNCT
flr-13	199	20	were	be	AUX
flr-13	199	21	subtracted	subtract	VERB
flr-13	199	22	from	from	ADP
flr-13	199	23	the	the	DET
flr-13	199	24	mean	mean	ADJ
flr-13	199	25	response	response	NOUN
flr-13	199	26	time	time	NOUN
flr-13	199	27	of	of	ADP
flr-13	199	28	the	the	DET
flr-13	199	29	center	center	ADJ
flr-13	199	30	cue	cue	NOUN
flr-13	199	31	condition	condition	NOUN
flr-13	199	32	.	.	PUNCT
flr-13	200	1	finally	finally	ADV
flr-13	200	2	,	,	PUNCT
flr-13	200	3	the	the	DET
flr-13	200	4	effect	effect	NOUN
flr-13	200	5	of	of	ADP
flr-13	200	6	the	the	DET
flr-13	200	7	executive	executive	ADJ
flr-13	200	8	control	control	NOUN
flr-13	200	9	(	(	PUNCT
flr-13	200	10	conflict	conflict	NOUN
flr-13	200	11	effect	effect	NOUN
flr-13	200	12	)	)	PUNCT
flr-13	200	13	was	be	AUX
flr-13	200	14	calculated	calculate	VERB
flr-13	200	15	by	by	ADP
flr-13	200	16	subtracting	subtract	VERB
flr-13	200	17	the	the	DET
flr-13	200	18	mean	mean	ADJ
flr-13	200	19	response	response	NOUN
flr-13	200	20	time	time	NOUN
flr-13	200	21	of	of	ADP
flr-13	200	22	all	all	DET
flr-13	200	23	congruent	congruent	ADJ
flr-13	200	24	flanking	flanking	NOUN
flr-13	200	25	conditions	condition	NOUN
flr-13	200	26	,	,	PUNCT
flr-13	200	27	summed	sum	VERB
flr-13	200	28	across	across	ADP
flr-13	200	29	cue	cue	NOUN
flr-13	200	30	types	type	NOUN
flr-13	200	31	,	,	PUNCT
flr-13	200	32	from	from	ADP
flr-13	200	33	the	the	DET
flr-13	200	34	mean	mean	ADJ
flr-13	200	35	response	response	NOUN
flr-13	200	36	time	time	NOUN
flr-13	200	37	of	of	ADP
flr-13	200	38	incongruent	incongruent	ADJ
flr-13	200	39	flanking	flanking	NOUN
flr-13	200	40	conditions	condition	NOUN
flr-13	200	41	(	(	PUNCT
flr-13	200	42	fan	fan	NOUN
flr-13	200	43	et	et	PROPN
flr-13	200	44	al	al	PROPN
flr-13	200	45	.	.	PROPN
flr-13	200	46	2002	2002	NUM
flr-13	200	47	)	)	PUNCT
flr-13	200	48	.	.	PUNCT
flr-13	201	1	the	the	DET
flr-13	201	2	test	test	NOUN
flr-13	201	3	-	-	PUNCT
flr-13	201	4	retest	retest	NOUN
flr-13	201	5	reliability	reliability	NOUN
flr-13	201	6	of	of	ADP
flr-13	201	7	the	the	DET
flr-13	201	8	general	general	ADJ
flr-13	201	9	response	response	NOUN
flr-13	201	10	times	time	NOUN
flr-13	201	11	(	(	PUNCT
flr-13	201	12	in	in	ADP
flr-13	201	13	this	this	DET
flr-13	201	14	study	study	NOUN
flr-13	201	15	used	use	VERB
flr-13	201	16	as	as	ADP
flr-13	201	17	a	a	DET
flr-13	201	18	measurement	measurement	NOUN
flr-13	201	19	of	of	ADP
flr-13	201	20	general	general	ADJ
flr-13	201	21	attention	attention	NOUN
flr-13	201	22	)	)	PUNCT
flr-13	201	23	,	,	PUNCT
flr-13	201	24	calculated	calculate	VERB
flr-13	201	25	by	by	ADP
flr-13	201	26	fan	fan	PROPN
flr-13	201	27	et	et	PROPN
flr-13	201	28	al	al	PROPN
flr-13	201	29	.	.	PROPN
flr-13	201	30	(	(	PUNCT
flr-13	201	31	2002	2002	NUM
flr-13	201	32	)	)	PUNCT
flr-13	201	33	equaled	equal	VERB
flr-13	201	34	.87	.87	PROPN
flr-13	201	35	.	.	PUNCT
flr-13	202	1	the	the	DET
flr-13	202	2	test	test	NOUN
flr-13	202	3	-	-	PUNCT
flr-13	202	4	retest	retest	NOUN
flr-13	202	5	reliability	reliability	NOUN
flr-13	202	6	of	of	ADP
flr-13	202	7	the	the	DET
flr-13	202	8	subtractions	subtraction	NOUN
flr-13	202	9	is	be	AUX
flr-13	202	10	less	less	ADV
flr-13	202	11	good	good	ADJ
flr-13	202	12	.	.	PUNCT
flr-13	203	1	the	the	DET
flr-13	203	2	executive	executive	ADJ
flr-13	203	3	control	control	NOUN
flr-13	203	4	is	be	AUX
flr-13	203	5	the	the	DET
flr-13	203	6	most	most	ADV
flr-13	203	7	reliable	reliable	ADJ
flr-13	203	8	(	(	PUNCT
flr-13	203	9	r=.77	r=.77	NOUN
flr-13	203	10	)	)	PUNCT
flr-13	203	11	,	,	PUNCT
flr-13	203	12	followed	follow	VERB
flr-13	203	13	by	by	ADP
flr-13	203	14	the	the	DET
flr-13	203	15	orienting	orient	VERB
flr-13	203	16	network	network	NOUN
flr-13	203	17	(	(	PUNCT
flr-13	203	18	r=.61	r=.61	NOUN
flr-13	203	19	)	)	PUNCT
flr-13	203	20	.	.	PUNCT
flr-13	204	1	the	the	DET
flr-13	204	2	alerting	alert	VERB
flr-13	204	3	network	network	NOUN
flr-13	204	4	showed	show	VERB
flr-13	204	5	to	to	PART
flr-13	204	6	be	be	AUX
flr-13	204	7	the	the	DET
flr-13	204	8	least	least	ADJ
flr-13	204	9	reliable	reliable	ADJ
flr-13	204	10	(	(	PUNCT
flr-13	204	11	r=.52	r=.52	NOUN
flr-13	204	12	)	)	PUNCT
flr-13	204	13	(	(	PUNCT
flr-13	204	14	fan	fan	NOUN
flr-13	204	15	et	et	PROPN
flr-13	204	16	al	al	PROPN
flr-13	204	17	.	.	PROPN
flr-13	204	18	2002	2002	NUM
flr-13	204	19	)	)	PUNCT
flr-13	204	20	.	.	PUNCT
flr-13	205	1	m.	m.	PROPN
flr-13	205	2	f.	f.	PROPN
flr-13	205	3	musso	musso	PROPN
flr-13	205	4	et	et	PROPN
flr-13	205	5	al	al	PROPN
flr-13	205	6	.	.	PROPN
flr-13	206	1	51	51	NUM
flr-13	207	1	|	|	ADV
flr-13	207	2	f	f	NOUN
flr-13	207	3	l	l	NOUN
flr-13	207	4	r	r	NOUN
flr-13	207	5	3.2.2	3.2.2	NUM
flr-13	207	6	automated	automate	VERB
flr-13	207	7	operation	operation	NOUN
flr-13	207	8	span	span	NOUN
flr-13	207	9	(	(	PUNCT
flr-13	207	10	unsworth	unsworth	NOUN
flr-13	207	11	et	et	PROPN
flr-13	207	12	al	al	PROPN
flr-13	207	13	.	.	PROPN
flr-13	207	14	,	,	PUNCT
flr-13	207	15	2005	2005	NUM
flr-13	207	16	)	)	PUNCT
flr-13	207	17	this	this	PRON
flr-13	207	18	is	be	AUX
flr-13	207	19	a	a	DET
flr-13	207	20	computer	computer	NOUN
flr-13	207	21	-	-	PUNCT
flr-13	207	22	administered	administer	VERB
flr-13	207	23	version	version	NOUN
flr-13	207	24	of	of	ADP
flr-13	207	25	the	the	DET
flr-13	207	26	ospan	ospan	NOUN
flr-13	207	27	instrument	instrument	NOUN
flr-13	207	28	(	(	PUNCT
flr-13	207	29	unsworth	unsworth	PROPN
flr-13	207	30	et	et	PROPN
flr-13	207	31	al	al	PROPN
flr-13	207	32	.	.	PROPN
flr-13	207	33	,	,	PUNCT
flr-13	207	34	2005	2005	NUM
flr-13	207	35	)	)	PUNCT
flr-13	207	36	that	that	PRON
flr-13	207	37	measures	measure	VERB
flr-13	207	38	working	working	NOUN
flr-13	207	39	memory	memory	NOUN
flr-13	207	40	capacity	capacity	NOUN
flr-13	207	41	.	.	PUNCT
flr-13	208	1	the	the	DET
flr-13	208	2	responses	response	NOUN
flr-13	208	3	were	be	AUX
flr-13	208	4	collected	collect	VERB
flr-13	208	5	via	via	ADP
flr-13	208	6	click	click	NOUN
flr-13	208	7	of	of	ADP
flr-13	208	8	a	a	DET
flr-13	208	9	mouse	mouse	NOUN
flr-13	208	10	button	button	NOUN
flr-13	208	11	.	.	PUNCT
flr-13	209	1	first	first	ADV
flr-13	209	2	,	,	PUNCT
flr-13	209	3	participants	participant	NOUN
flr-13	209	4	receive	receive	VERB
flr-13	209	5	practice	practice	NOUN
flr-13	209	6	and	and	CCONJ
flr-13	209	7	secondly	secondly	ADV
flr-13	209	8	,	,	PUNCT
flr-13	209	9	the	the	DET
flr-13	209	10	participants	participant	NOUN
flr-13	209	11	perform	perform	VERB
flr-13	209	12	the	the	DET
flr-13	209	13	actual	actual	ADJ
flr-13	209	14	experiment	experiment	NOUN
flr-13	209	15	.	.	PUNCT
flr-13	210	1	the	the	DET
flr-13	210	2	practice	practice	NOUN
flr-13	210	3	sessions	session	NOUN
flr-13	210	4	are	be	AUX
flr-13	210	5	further	far	ADV
flr-13	210	6	broken	break	VERB
flr-13	210	7	down	down	ADP
flr-13	210	8	into	into	ADP
flr-13	210	9	three	three	NUM
flr-13	210	10	sections	section	NOUN
flr-13	210	11	.	.	PUNCT
flr-13	211	1	the	the	DET
flr-13	211	2	first	first	ADJ
flr-13	211	3	practice	practice	NOUN
flr-13	211	4	is	be	AUX
flr-13	211	5	a	a	DET
flr-13	211	6	simple	simple	ADJ
flr-13	211	7	letter	letter	NOUN
flr-13	211	8	span	span	NOUN
flr-13	211	9	task	task	NOUN
flr-13	211	10	.	.	PUNCT
flr-13	212	1	they	they	PRON
flr-13	212	2	see	see	VERB
flr-13	212	3	letters	letter	NOUN
flr-13	212	4	appear	appear	VERB
flr-13	212	5	on	on	ADP
flr-13	212	6	the	the	DET
flr-13	212	7	screen	screen	NOUN
flr-13	212	8	one	one	NUM
flr-13	212	9	at	at	ADP
flr-13	212	10	a	a	DET
flr-13	212	11	time	time	NOUN
flr-13	212	12	.	.	PUNCT
flr-13	213	1	in	in	ADP
flr-13	213	2	all	all	DET
flr-13	213	3	experimental	experimental	ADJ
flr-13	213	4	conditions	condition	NOUN
flr-13	213	5	,	,	PUNCT
flr-13	213	6	letters	letter	NOUN
flr-13	213	7	remain	remain	VERB
flr-13	213	8	on	on	ADP
flr-13	213	9	-	-	PUNCT
flr-13	213	10	screen	screen	NOUN
flr-13	213	11	for	for	ADP
flr-13	213	12	800	800	NUM
flr-13	213	13	milliseconds	millisecond	NOUN
flr-13	213	14	(	(	PUNCT
flr-13	213	15	ms	ms	NOUN
flr-13	213	16	)	)	PUNCT
flr-13	213	17	.	.	PUNCT
flr-13	214	1	then	then	ADV
flr-13	214	2	,	,	PUNCT
flr-13	214	3	participants	participant	NOUN
flr-13	214	4	must	must	AUX
flr-13	214	5	recall	recall	VERB
flr-13	214	6	these	these	DET
flr-13	214	7	letters	letter	NOUN
flr-13	214	8	in	in	ADP
flr-13	214	9	the	the	DET
flr-13	214	10	same	same	ADJ
flr-13	214	11	order	order	NOUN
flr-13	214	12	they	they	PRON
flr-13	214	13	saw	see	VERB
flr-13	214	14	them	they	PRON
flr-13	214	15	from	from	ADP
flr-13	214	16	a	a	DET
flr-13	214	17	4	4	NUM
flr-13	214	18	x	x	SYM
flr-13	214	19	3	3	NUM
flr-13	214	20	matrix	matrix	NOUN
flr-13	214	21	of	of	ADP
flr-13	214	22	letters	letter	NOUN
flr-13	214	23	(	(	PUNCT
flr-13	214	24	f	f	X
flr-13	214	25	,	,	PUNCT
flr-13	214	26	h	h	PROPN
flr-13	214	27	,	,	PUNCT
flr-13	214	28	j	j	PROPN
flr-13	214	29	,	,	PUNCT
flr-13	214	30	k	k	PROPN
flr-13	214	31	,	,	PUNCT
flr-13	214	32	l	l	NOUN
flr-13	214	33	,	,	PUNCT
flr-13	214	34	n	n	CCONJ
flr-13	214	35	,	,	PUNCT
flr-13	214	36	p	p	X
flr-13	214	37	,	,	PUNCT
flr-13	214	38	q	q	ADJ
flr-13	214	39	,	,	PUNCT
flr-13	214	40	r	r	NOUN
flr-13	214	41	,	,	PUNCT
flr-13	214	42	s	s	PROPN
flr-13	214	43	,	,	PUNCT
flr-13	214	44	t	t	PROPN
flr-13	214	45	,	,	PUNCT
flr-13	214	46	and	and	CCONJ
flr-13	214	47	y	y	X
flr-13	214	48	)	)	PUNCT
flr-13	214	49	presented	present	VERB
flr-13	214	50	to	to	ADP
flr-13	214	51	them	they	PRON
flr-13	214	52	.	.	PUNCT
flr-13	215	1	recall	recall	PROPN
flr-13	215	2	consists	consist	VERB
flr-13	215	3	of	of	ADP
flr-13	215	4	clicking	click	VERB
flr-13	215	5	the	the	DET
flr-13	215	6	box	box	NOUN
flr-13	215	7	next	next	ADV
flr-13	215	8	to	to	ADP
flr-13	215	9	the	the	DET
flr-13	215	10	appropriate	appropriate	ADJ
flr-13	215	11	letters	letter	NOUN
flr-13	215	12	;	;	PUNCT
flr-13	215	13	the	the	DET
flr-13	215	14	recall	recall	NOUN
flr-13	215	15	phase	phase	NOUN
flr-13	215	16	is	be	AUX
flr-13	215	17	untimed	untimed	ADJ
flr-13	215	18	.	.	PUNCT
flr-13	216	1	after	after	ADP
flr-13	216	2	each	each	DET
flr-13	216	3	recall	recall	NOUN
flr-13	216	4	,	,	PUNCT
flr-13	216	5	the	the	DET
flr-13	216	6	computer	computer	NOUN
flr-13	216	7	provides	provide	VERB
flr-13	216	8	feedback	feedback	NOUN
flr-13	216	9	about	about	ADP
flr-13	216	10	the	the	DET
flr-13	216	11	number	number	NOUN
flr-13	216	12	of	of	ADP
flr-13	216	13	letters	letter	NOUN
flr-13	216	14	correctly	correctly	ADV
flr-13	216	15	recalled	recall	VERB
flr-13	216	16	.	.	PUNCT
flr-13	217	1	next	next	ADV
flr-13	217	2	,	,	PUNCT
flr-13	217	3	participants	participant	NOUN
flr-13	217	4	practice	practice	VERB
flr-13	217	5	the	the	DET
flr-13	217	6	math	math	NOUN
flr-13	217	7	portion	portion	NOUN
flr-13	217	8	of	of	ADP
flr-13	217	9	the	the	DET
flr-13	217	10	experiment	experiment	NOUN
flr-13	217	11	.	.	PUNCT
flr-13	218	1	participants	participant	NOUN
flr-13	218	2	first	first	ADV
flr-13	218	3	see	see	VERB
flr-13	218	4	a	a	DET
flr-13	218	5	math	math	NOUN
flr-13	218	6	operation	operation	NOUN
flr-13	218	7	(	(	PUNCT
flr-13	218	8	e.g.	e.g.	ADV
flr-13	218	9	(	(	PUNCT
flr-13	218	10	1	1	NUM
flr-13	218	11	*	*	NUM
flr-13	218	12	2	2	NUM
flr-13	218	13	)	)	PUNCT
flr-13	218	14	+	+	CCONJ
flr-13	219	1	1	1	NUM
flr-13	219	2	=	=	SYM
flr-13	219	3	?	?	PUNCT
flr-13	219	4	)	)	PUNCT
flr-13	219	5	.	.	PUNCT
flr-13	220	1	once	once	SCONJ
flr-13	220	2	the	the	DET
flr-13	220	3	participant	participant	NOUN
flr-13	220	4	knows	know	VERB
flr-13	220	5	the	the	DET
flr-13	220	6	answer	answer	NOUN
flr-13	220	7	they	they	PRON
flr-13	220	8	click	click	VERB
flr-13	220	9	the	the	DET
flr-13	220	10	mouse	mouse	NOUN
flr-13	220	11	to	to	PART
flr-13	220	12	advance	advance	VERB
flr-13	220	13	to	to	ADP
flr-13	220	14	the	the	DET
flr-13	220	15	next	next	ADJ
flr-13	220	16	screen	screen	NOUN
flr-13	220	17	.	.	PUNCT
flr-13	221	1	participants	participant	NOUN
flr-13	221	2	then	then	ADV
flr-13	221	3	see	see	VERB
flr-13	221	4	a	a	DET
flr-13	221	5	number	number	NOUN
flr-13	221	6	(	(	PUNCT
flr-13	221	7	e.g.	e.g.	ADV
flr-13	221	8	“	"	PUNCT
flr-13	221	9	3	3	NUM
flr-13	221	10	”	"	PUNCT
flr-13	221	11	)	)	PUNCT
flr-13	221	12	and	and	CCONJ
flr-13	221	13	are	be	AUX
flr-13	221	14	required	require	VERB
flr-13	221	15	to	to	PART
flr-13	221	16	click	click	VERB
flr-13	221	17	if	if	SCONJ
flr-13	221	18	the	the	DET
flr-13	221	19	number	number	NOUN
flr-13	221	20	is	be	AUX
flr-13	221	21	the	the	DET
flr-13	221	22	correct	correct	ADJ
flr-13	221	23	solution	solution	NOUN
flr-13	221	24	by	by	ADP
flr-13	221	25	clicking	click	VERB
flr-13	221	26	on	on	ADP
flr-13	221	27	“	"	PUNCT
flr-13	221	28	true	true	ADJ
flr-13	221	29	”	"	PUNCT
flr-13	221	30	or	or	CCONJ
flr-13	221	31	“	"	PUNCT
flr-13	221	32	false	false	ADJ
flr-13	221	33	.	.	PUNCT
flr-13	221	34	”	"	PUNCT
flr-13	222	1	after	after	SCONJ
flr-13	222	2	each	each	DET
flr-13	222	3	operation	operation	NOUN
flr-13	222	4	participants	participant	NOUN
flr-13	222	5	are	be	AUX
flr-13	222	6	given	give	VERB
flr-13	222	7	feedback	feedback	NOUN
flr-13	222	8	.	.	PUNCT
flr-13	223	1	the	the	DET
flr-13	223	2	math	math	NOUN
flr-13	223	3	practice	practice	NOUN
flr-13	223	4	serves	serve	VERB
flr-13	223	5	to	to	PART
flr-13	223	6	familiarize	familiarize	VERB
flr-13	223	7	participants	participant	NOUN
flr-13	223	8	with	with	ADP
flr-13	223	9	the	the	DET
flr-13	223	10	math	math	NOUN
flr-13	223	11	portion	portion	NOUN
flr-13	223	12	of	of	ADP
flr-13	223	13	the	the	DET
flr-13	223	14	experiment	experiment	NOUN
flr-13	223	15	,	,	PUNCT
flr-13	223	16	as	as	ADV
flr-13	223	17	well	well	ADV
flr-13	223	18	as	as	ADP
flr-13	223	19	to	to	PART
flr-13	223	20	calculate	calculate	VERB
flr-13	223	21	how	how	SCONJ
flr-13	223	22	long	long	ADV
flr-13	223	23	it	it	PRON
flr-13	223	24	takes	take	VERB
flr-13	223	25	a	a	DET
flr-13	223	26	given	give	VERB
flr-13	223	27	person	person	NOUN
flr-13	223	28	to	to	PART
flr-13	223	29	solve	solve	VERB
flr-13	223	30	the	the	DET
flr-13	223	31	math	math	NOUN
flr-13	223	32	problems	problem	NOUN
flr-13	223	33	,	,	PUNCT
flr-13	223	34	establishing	establish	VERB
flr-13	223	35	an	an	DET
flr-13	223	36	individual	individual	ADJ
flr-13	223	37	baseline	baseline	NOUN
flr-13	223	38	.	.	PUNCT
flr-13	224	1	thus	thus	ADV
flr-13	224	2	,	,	PUNCT
flr-13	224	3	it	it	PRON
flr-13	224	4	attempts	attempt	VERB
flr-13	224	5	to	to	PART
flr-13	224	6	account	account	VERB
flr-13	224	7	for	for	ADP
flr-13	224	8	individual	individual	ADJ
flr-13	224	9	differences	difference	NOUN
flr-13	224	10	in	in	ADP
flr-13	224	11	the	the	DET
flr-13	224	12	time	time	NOUN
flr-13	224	13	it	it	PRON
flr-13	224	14	takes	take	VERB
flr-13	224	15	to	to	PART
flr-13	224	16	solve	solve	VERB
flr-13	224	17	math	math	NOUN
flr-13	224	18	problems	problem	NOUN
flr-13	224	19	.	.	PUNCT
flr-13	225	1	this	this	PRON
flr-13	225	2	is	be	AUX
flr-13	225	3	then	then	ADV
flr-13	225	4	used	use	VERB
flr-13	225	5	as	as	ADP
flr-13	225	6	an	an	DET
flr-13	225	7	individualized	individualized	ADJ
flr-13	225	8	time	time	NOUN
flr-13	225	9	limit	limit	NOUN
flr-13	225	10	for	for	ADP
flr-13	225	11	the	the	DET
flr-13	225	12	math	math	NOUN
flr-13	225	13	portion	portion	NOUN
flr-13	225	14	of	of	ADP
flr-13	225	15	the	the	DET
flr-13	225	16	experimental	experimental	ADJ
flr-13	225	17	session	session	NOUN
flr-13	225	18	.	.	PUNCT
flr-13	226	1	the	the	DET
flr-13	226	2	final	final	ADJ
flr-13	226	3	practice	practice	NOUN
flr-13	226	4	session	session	NOUN
flr-13	226	5	has	have	AUX
flr-13	226	6	participants	participant	NOUN
flr-13	226	7	perform	perform	VERB
flr-13	226	8	both	both	CCONJ
flr-13	226	9	the	the	DET
flr-13	226	10	letter	letter	NOUN
flr-13	226	11	recall	recall	NOUN
flr-13	226	12	and	and	CCONJ
flr-13	226	13	math	math	NOUN
flr-13	226	14	portions	portion	NOUN
flr-13	226	15	together	together	ADV
flr-13	226	16	,	,	PUNCT
flr-13	226	17	just	just	ADV
flr-13	226	18	as	as	SCONJ
flr-13	226	19	they	they	PRON
flr-13	226	20	will	will	AUX
flr-13	226	21	do	do	VERB
flr-13	226	22	in	in	ADP
flr-13	226	23	the	the	DET
flr-13	226	24	experimental	experimental	ADJ
flr-13	226	25	block	block	NOUN
flr-13	226	26	.	.	PUNCT
flr-13	227	1	the	the	DET
flr-13	227	2	participants	participant	NOUN
flr-13	227	3	first	first	ADV
flr-13	227	4	are	be	AUX
flr-13	227	5	presented	present	VERB
flr-13	227	6	with	with	ADP
flr-13	227	7	a	a	DET
flr-13	227	8	math	math	NOUN
flr-13	227	9	operation	operation	NOUN
flr-13	227	10	,	,	PUNCT
flr-13	227	11	and	and	CCONJ
flr-13	227	12	after	after	SCONJ
flr-13	227	13	they	they	PRON
flr-13	227	14	click	click	VERB
flr-13	227	15	the	the	DET
flr-13	227	16	mouse	mouse	NOUN
flr-13	227	17	button	button	NOUN
flr-13	227	18	indicating	indicate	VERB
flr-13	227	19	that	that	SCONJ
flr-13	227	20	they	they	PRON
flr-13	227	21	have	have	AUX
flr-13	227	22	solved	solve	VERB
flr-13	227	23	it	it	PRON
flr-13	227	24	,	,	PUNCT
flr-13	227	25	they	they	PRON
flr-13	227	26	see	see	VERB
flr-13	227	27	the	the	DET
flr-13	227	28	letter	letter	NOUN
flr-13	227	29	to	to	PART
flr-13	227	30	be	be	AUX
flr-13	227	31	recalled	recall	VERB
flr-13	227	32	.	.	PUNCT
flr-13	228	1	if	if	SCONJ
flr-13	228	2	the	the	DET
flr-13	228	3	participants	participant	NOUN
flr-13	228	4	take	take	VERB
flr-13	228	5	more	more	ADJ
flr-13	228	6	time	time	NOUN
flr-13	228	7	to	to	PART
flr-13	228	8	solve	solve	VERB
flr-13	228	9	the	the	DET
flr-13	228	10	math	math	NOUN
flr-13	228	11	operations	operation	NOUN
flr-13	228	12	than	than	ADP
flr-13	228	13	their	their	PRON
flr-13	228	14	average	average	ADJ
flr-13	228	15	time	time	NOUN
flr-13	228	16	plus	plus	CCONJ
flr-13	228	17	2.5	2.5	NUM
flr-13	228	18	sd	sd	NOUN
flr-13	228	19	,	,	PUNCT
flr-13	228	20	the	the	DET
flr-13	228	21	program	program	NOUN
flr-13	228	22	automatically	automatically	ADV
flr-13	228	23	moves	move	VERB
flr-13	228	24	on	on	ADP
flr-13	228	25	and	and	CCONJ
flr-13	228	26	counts	count	VERB
flr-13	228	27	that	that	SCONJ
flr-13	228	28	trial	trial	NOUN
flr-13	228	29	as	as	ADP
flr-13	228	30	an	an	DET
flr-13	228	31	error	error	NOUN
flr-13	228	32	.	.	PUNCT
flr-13	229	1	this	this	PRON
flr-13	229	2	serves	serve	VERB
flr-13	229	3	to	to	PART
flr-13	229	4	prevent	prevent	VERB
flr-13	229	5	participants	participant	NOUN
flr-13	229	6	from	from	ADP
flr-13	229	7	rehearsing	rehearse	VERB
flr-13	229	8	the	the	DET
flr-13	229	9	letters	letter	NOUN
flr-13	229	10	when	when	SCONJ
flr-13	229	11	they	they	PRON
flr-13	229	12	should	should	AUX
flr-13	229	13	be	be	AUX
flr-13	229	14	solving	solve	VERB
flr-13	229	15	the	the	DET
flr-13	229	16	operations	operation	NOUN
flr-13	229	17	.	.	PUNCT
flr-13	230	1	participants	participant	NOUN
flr-13	230	2	complete	complete	VERB
flr-13	230	3	three	three	NUM
flr-13	230	4	practice	practice	NOUN
flr-13	230	5	trials	trial	NOUN
flr-13	230	6	,	,	PUNCT
flr-13	230	7	each	each	PRON
flr-13	230	8	of	of	ADP
flr-13	230	9	set	set	ADJ
flr-13	230	10	size	size	NOUN
flr-13	230	11	2	2	NUM
flr-13	230	12	.	.	PUNCT
flr-13	231	1	after	after	SCONJ
flr-13	231	2	the	the	DET
flr-13	231	3	participant	participant	NOUN
flr-13	231	4	completes	complete	VERB
flr-13	231	5	all	all	PRON
flr-13	231	6	of	of	ADP
flr-13	231	7	the	the	DET
flr-13	231	8	practice	practice	NOUN
flr-13	231	9	sessions	session	NOUN
flr-13	231	10	,	,	PUNCT
flr-13	231	11	the	the	DET
flr-13	231	12	program	program	NOUN
flr-13	231	13	moves	move	VERB
flr-13	231	14	them	they	PRON
flr-13	231	15	on	on	ADP
flr-13	231	16	to	to	ADP
flr-13	231	17	the	the	DET
flr-13	231	18	real	real	ADJ
flr-13	231	19	trials	trial	NOUN
flr-13	231	20	.	.	PUNCT
flr-13	232	1	the	the	DET
flr-13	232	2	real	real	ADJ
flr-13	232	3	trials	trial	NOUN
flr-13	232	4	consist	consist	VERB
flr-13	232	5	of	of	ADP
flr-13	232	6	3	3	NUM
flr-13	232	7	sets	set	NOUN
flr-13	232	8	of	of	ADP
flr-13	232	9	each	each	DET
flr-13	232	10	set	set	NOUN
flr-13	232	11	-	-	PUNCT
flr-13	232	12	size	size	NOUN
flr-13	232	13	,	,	PUNCT
flr-13	232	14	with	with	ADP
flr-13	232	15	the	the	DET
flr-13	232	16	set	set	NOUN
flr-13	232	17	-	-	PUNCT
flr-13	232	18	sizes	size	NOUN
flr-13	232	19	ranging	range	VERB
flr-13	232	20	from	from	ADP
flr-13	232	21	3	3	NUM
flr-13	232	22	to	to	PART
flr-13	232	23	7	7	NUM
flr-13	232	24	letters	letter	NOUN
flr-13	232	25	.	.	PUNCT
flr-13	233	1	this	this	PRON
flr-13	233	2	makes	make	VERB
flr-13	233	3	for	for	ADP
flr-13	233	4	a	a	DET
flr-13	233	5	total	total	NOUN
flr-13	233	6	of	of	ADP
flr-13	233	7	75	75	NUM
flr-13	233	8	letters	letter	NOUN
flr-13	233	9	and	and	CCONJ
flr-13	233	10	75	75	NUM
flr-13	233	11	math	math	NOUN
flr-13	233	12	problems	problem	NOUN
flr-13	233	13	.	.	PUNCT
flr-13	234	1	subjects	subject	NOUN
flr-13	234	2	are	be	AUX
flr-13	234	3	instructed	instruct	VERB
flr-13	234	4	to	to	PART
flr-13	234	5	keep	keep	VERB
flr-13	234	6	their	their	PRON
flr-13	234	7	math	math	NOUN
flr-13	234	8	accuracy	accuracy	NOUN
flr-13	234	9	at	at	ADP
flr-13	234	10	or	or	CCONJ
flr-13	234	11	above	above	ADP
flr-13	234	12	85	85	NUM
flr-13	234	13	%	%	NOUN
flr-13	234	14	at	at	ADP
flr-13	234	15	all	all	DET
flr-13	234	16	times	time	NOUN
flr-13	234	17	.	.	PUNCT
flr-13	235	1	during	during	ADP
flr-13	235	2	recall	recall	NOUN
flr-13	235	3	,	,	PUNCT
flr-13	235	4	a	a	DET
flr-13	235	5	percentage	percentage	NOUN
flr-13	235	6	in	in	ADP
flr-13	235	7	red	red	NOUN
flr-13	235	8	is	be	AUX
flr-13	235	9	presented	present	VERB
flr-13	235	10	in	in	ADP
flr-13	235	11	the	the	DET
flr-13	235	12	upper	upper	ADJ
flr-13	235	13	right	right	ADJ
flr-13	235	14	-	-	PUNCT
flr-13	235	15	hand	hand	NOUN
flr-13	235	16	corner	corner	NOUN
flr-13	235	17	.	.	PUNCT
flr-13	236	1	subjects	subject	NOUN
flr-13	236	2	are	be	AUX
flr-13	236	3	instructed	instruct	VERB
flr-13	236	4	to	to	PART
flr-13	236	5	keep	keep	VERB
flr-13	236	6	a	a	DET
flr-13	236	7	careful	careful	ADJ
flr-13	236	8	watch	watch	NOUN
flr-13	236	9	on	on	ADP
flr-13	236	10	the	the	DET
flr-13	236	11	percentage	percentage	NOUN
flr-13	236	12	in	in	ADP
flr-13	236	13	order	order	NOUN
flr-13	236	14	to	to	PART
flr-13	236	15	keep	keep	VERB
flr-13	236	16	it	it	PRON
flr-13	236	17	above	above	ADP
flr-13	236	18	85	85	NUM
flr-13	236	19	%	%	NOUN
flr-13	236	20	.	.	PUNCT
flr-13	237	1	this	this	DET
flr-13	237	2	study	study	NOUN
flr-13	237	3	reports	report	VERB
flr-13	237	4	the	the	DET
flr-13	237	5	absolute	absolute	ADJ
flr-13	237	6	ospan	ospan	NOUN
flr-13	237	7	score	score	NOUN
flr-13	237	8	(	(	PUNCT
flr-13	237	9	the	the	DET
flr-13	237	10	sum	sum	NOUN
flr-13	237	11	of	of	ADP
flr-13	237	12	all	all	DET
flr-13	237	13	perfectly	perfectly	ADV
flr-13	237	14	recalled	recall	VERB
flr-13	237	15	sets	set	NOUN
flr-13	237	16	)	)	PUNCT
flr-13	237	17	that	that	PRON
flr-13	237	18	is	be	AUX
flr-13	237	19	interpreted	interpret	VERB
flr-13	237	20	as	as	ADP
flr-13	237	21	the	the	DET
flr-13	237	22	measure	measure	NOUN
flr-13	237	23	of	of	ADP
flr-13	237	24	overall	overall	ADJ
flr-13	237	25	working	working	NOUN
flr-13	237	26	memory	memory	NOUN
flr-13	237	27	capacity	capacity	NOUN
flr-13	237	28	,	,	PUNCT
flr-13	237	29	and	and	CCONJ
flr-13	237	30	one	one	NUM
flr-13	237	31	reaction	reaction	NOUN
flr-13	237	32	time	time	NOUN
flr-13	237	33	score	score	NOUN
flr-13	237	34	(	(	PUNCT
flr-13	237	35	operations	operation	NOUN
flr-13	237	36	)	)	PUNCT
flr-13	237	37	.	.	PUNCT
flr-13	238	1	the	the	DET
flr-13	238	2	task	task	NOUN
flr-13	238	3	takes	take	VERB
flr-13	238	4	approximately	approximately	ADV
flr-13	238	5	20–25	20–25	NUM
flr-13	238	6	minutes	minute	NOUN
flr-13	238	7	to	to	PART
flr-13	238	8	complete	complete	VERB
flr-13	238	9	(	(	PUNCT
flr-13	238	10	unsworth	unsworth	NOUN
flr-13	238	11	et	et	PROPN
flr-13	238	12	al	al	PROPN
flr-13	238	13	.	.	PROPN
flr-13	238	14	,	,	PUNCT
flr-13	238	15	2005	2005	NUM
flr-13	238	16	)	)	PUNCT
flr-13	238	17	.	.	PUNCT
flr-13	239	1	this	this	DET
flr-13	239	2	measure	measure	NOUN
flr-13	239	3	of	of	ADP
flr-13	239	4	working	working	NOUN
flr-13	239	5	memory	memory	NOUN
flr-13	239	6	capacity	capacity	NOUN
flr-13	239	7	has	have	VERB
flr-13	239	8	a	a	DET
flr-13	239	9	high	high	ADJ
flr-13	239	10	correlation	correlation	NOUN
flr-13	239	11	with	with	ADP
flr-13	239	12	other	other	ADJ
flr-13	239	13	measures	measure	NOUN
flr-13	239	14	of	of	ADP
flr-13	239	15	working	working	NOUN
flr-13	239	16	memory	memory	NOUN
flr-13	239	17	and	and	CCONJ
flr-13	239	18	general	general	ADJ
flr-13	239	19	intelligence	intelligence	NOUN
flr-13	239	20	,	,	PUNCT
flr-13	239	21	as	as	ADP
flr-13	239	22	ospan	ospan	ADV
flr-13	239	23	and	and	CCONJ
flr-13	239	24	raven	raven	ADJ
flr-13	239	25	progressive	progressive	ADJ
flr-13	239	26	matrices	matrix	NOUN
flr-13	239	27	.	.	PUNCT
flr-13	240	1	in	in	ADP
flr-13	240	2	addition	addition	NOUN
flr-13	240	3	,	,	PUNCT
flr-13	240	4	aospan	aospan	PROPN
flr-13	240	5	has	have	VERB
flr-13	240	6	a	a	DET
flr-13	240	7	good	good	ADJ
flr-13	240	8	test	test	NOUN
flr-13	240	9	-	-	PUNCT
flr-13	240	10	retest	retest	NOUN
flr-13	240	11	reliability	reliability	NOUN
flr-13	240	12	(	(	PUNCT
flr-13	240	13	r	r	NOUN
flr-13	240	14	=	=	SYM
flr-13	240	15	.83	.83	NUM
flr-13	240	16	)	)	PUNCT
flr-13	240	17	and	and	CCONJ
flr-13	240	18	an	an	DET
flr-13	240	19	adequate	adequate	ADJ
flr-13	240	20	internal	internal	ADJ
flr-13	240	21	consistency	consistency	NOUN
flr-13	240	22	(	(	PUNCT
flr-13	240	23	α=.78	α=.78	NOUN
flr-13	240	24	)	)	PUNCT
flr-13	240	25	(	(	PUNCT
flr-13	240	26	unsworth	unsworth	NOUN
flr-13	240	27	et	et	PROPN
flr-13	240	28	al	al	PROPN
flr-13	240	29	.	.	PROPN
flr-13	240	30	,	,	PUNCT
flr-13	240	31	2005	2005	NUM
flr-13	240	32	)	)	PUNCT
flr-13	240	33	.	.	PUNCT
flr-13	241	1	3.2.3	3.2.3	NUM
flr-13	241	2	learning	learn	VERB
flr-13	241	3	strategies	strategy	NOUN
flr-13	241	4	questionnaire	questionnaire	NOUN
flr-13	241	5	(	(	PUNCT
flr-13	241	6	lassi	lassi	NOUN
flr-13	241	7	;	;	PUNCT
flr-13	241	8	weinstein	weinstein	PROPN
flr-13	241	9	et	et	PROPN
flr-13	241	10	al	al	PROPN
flr-13	241	11	.	.	PROPN
flr-13	241	12	,1987	,1987	PROPN
flr-13	241	13	;	;	PUNCT
flr-13	241	14	weinstein	weinstein	PROPN
flr-13	241	15	&	&	CCONJ
flr-13	241	16	palmer	palmer	PROPN
flr-13	241	17	,	,	PUNCT
flr-13	241	18	2002	2002	NUM
flr-13	241	19	;	;	PUNCT
flr-13	241	20	weinstein	weinstein	PROPN
flr-13	241	21	et	et	PROPN
flr-13	241	22	al	al	PROPN
flr-13	241	23	.	.	PROPN
flr-13	241	24	,	,	PUNCT
flr-13	241	25	1982	1982	NUM
flr-13	241	26	)	)	PUNCT
flr-13	241	27	.	.	PUNCT
flr-13	242	1	the	the	DET
flr-13	242	2	original	original	ADJ
flr-13	242	3	version	version	NOUN
flr-13	242	4	is	be	AUX
flr-13	242	5	a	a	DET
flr-13	242	6	77	77	NUM
flr-13	242	7	-	-	PUNCT
flr-13	242	8	item	item	NOUN
flr-13	242	9	questionnaire	questionnaire	NOUN
flr-13	242	10	with	with	ADP
flr-13	242	11	10	10	NUM
flr-13	242	12	scales	scale	NOUN
flr-13	242	13	that	that	PRON
flr-13	242	14	assesses	assess	VERB
flr-13	242	15	the	the	DET
flr-13	242	16	students	student	NOUN
flr-13	242	17	'	'	PART
flr-13	242	18	awareness	awareness	NOUN
flr-13	242	19	about	about	ADP
flr-13	242	20	,	,	PUNCT
flr-13	242	21	and	and	CCONJ
flr-13	242	22	use	use	NOUN
flr-13	242	23	of	of	ADP
flr-13	242	24	,	,	PUNCT
flr-13	242	25	learning	learn	VERB
flr-13	242	26	and	and	CCONJ
flr-13	242	27	study	study	NOUN
flr-13	242	28	strategies	strategy	NOUN
flr-13	242	29	related	relate	VERB
flr-13	242	30	to	to	ADP
flr-13	242	31	skill	skill	NOUN
flr-13	242	32	,	,	PUNCT
flr-13	242	33	will	will	AUX
flr-13	242	34	,	,	PUNCT
flr-13	242	35	and	and	CCONJ
flr-13	242	36	self	self	NOUN
flr-13	242	37	-	-	PUNCT
flr-13	242	38	regulation	regulation	NOUN
flr-13	242	39	components	component	NOUN
flr-13	242	40	of	of	ADP
flr-13	242	41	strategic	strategic	ADJ
flr-13	242	42	learning	learning	NOUN
flr-13	242	43	.	.	PUNCT
flr-13	243	1	these	these	DET
flr-13	243	2	scales	scale	NOUN
flr-13	243	3	and	and	CCONJ
flr-13	243	4	their	their	PRON
flr-13	243	5	corresponding	corresponding	ADJ
flr-13	243	6	internal	internal	ADJ
flr-13	243	7	consistency	consistency	NOUN
flr-13	243	8	coefficients	coefficient	NOUN
flr-13	243	9	reported	report	VERB
flr-13	243	10	in	in	ADP
flr-13	243	11	the	the	DET
flr-13	243	12	users‟	users‟	PROPN
flr-13	243	13	manual	manual	NOUN
flr-13	243	14	(	(	PUNCT
flr-13	243	15	weinstein	weinstein	PROPN
flr-13	243	16	&	&	CCONJ
flr-13	243	17	palmer	palmer	PROPN
flr-13	243	18	,	,	PUNCT
flr-13	243	19	2002	2002	NUM
flr-13	243	20	)	)	PUNCT
flr-13	243	21	,	,	PUNCT
flr-13	243	22	are	be	AUX
flr-13	243	23	as	as	SCONJ
flr-13	243	24	follows	follow	VERB
flr-13	243	25	:	:	PUNCT
flr-13	243	26	attitude	attitude	NOUN
flr-13	243	27	scale	scale	NOUN
flr-13	243	28	(	(	PUNCT
flr-13	243	29	α	α	NOUN
flr-13	243	30	=	=	SYM
flr-13	243	31	.77	.77	NUM
flr-13	243	32	)	)	PUNCT
flr-13	243	33	,	,	PUNCT
flr-13	243	34	motivation	motivation	NOUN
flr-13	243	35	scale	scale	NOUN
flr-13	243	36	(	(	PUNCT
flr-13	243	37	α	α	NOUN
flr-13	243	38	=	=	SYM
flr-13	243	39	.84	.84	NUM
flr-13	243	40	)	)	PUNCT
flr-13	243	41	,	,	PUNCT
flr-13	243	42	time	time	NOUN
flr-13	243	43	management	management	NOUN
flr-13	243	44	scale	scale	NOUN
flr-13	243	45	(	(	PUNCT
flr-13	243	46	α	α	NOUN
flr-13	243	47	=	=	SYM
flr-13	243	48	.85	.85	NUM
flr-13	243	49	)	)	PUNCT
flr-13	243	50	,	,	PUNCT
flr-13	243	51	anxiety	anxiety	NOUN
flr-13	243	52	scale	scale	NOUN
flr-13	243	53	(	(	PUNCT
flr-13	243	54	α	α	NOUN
flr-13	243	55	=	=	NOUN
flr-13	243	56	.87	.87	NUM
flr-13	243	57	)	)	PUNCT
flr-13	243	58	,	,	PUNCT
flr-13	243	59	concentration	concentration	NOUN
flr-13	243	60	scale	scale	NOUN
flr-13	243	61	(	(	PUNCT
flr-13	243	62	α	α	NOUN
flr-13	243	63	=	=	SYM
flr-13	243	64	.86	.86	NUM
flr-13	243	65	)	)	PUNCT
flr-13	243	66	,	,	PUNCT
flr-13	243	67	information	information	NOUN
flr-13	243	68	processing	processing	NOUN
flr-13	243	69	scale	scale	NOUN
flr-13	243	70	(	(	PUNCT
flr-13	243	71	α	α	NOUN
flr-13	243	72	=	=	SYM
flr-13	243	73	.84	.84	NUM
flr-13	243	74	)	)	PUNCT
flr-13	243	75	,	,	PUNCT
flr-13	243	76	selecting	select	VERB
flr-13	243	77	main	main	ADJ
flr-13	243	78	ideas	idea	NOUN
flr-13	243	79	scale	scale	NOUN
flr-13	243	80	(	(	PUNCT
flr-13	243	81	α	α	NOUN
flr-13	243	82	=	=	NOUN
flr-13	243	83	.89	.89	NUM
flr-13	243	84	)	)	PUNCT
flr-13	243	85	,	,	PUNCT
flr-13	243	86	study	study	NOUN
flr-13	243	87	aids	aids	PROPN
flr-13	243	88	scale	scale	NOUN
flr-13	243	89	(	(	PUNCT
flr-13	243	90	α=	α=	NOUN
flr-13	243	91	.73	.73	NUM
flr-13	243	92	)	)	PUNCT
flr-13	243	93	,	,	PUNCT
flr-13	243	94	self	self	NOUN
flr-13	243	95	-	-	PUNCT
flr-13	243	96	testing	testing	NOUN
flr-13	243	97	scale	scale	NOUN
flr-13	243	98	(	(	PUNCT
flr-13	243	99	α	α	NOUN
flr-13	243	100	=	=	SYM
flr-13	243	101	.84	.84	NUM
flr-13	243	102	)	)	PUNCT
flr-13	243	103	,	,	PUNCT
flr-13	243	104	and	and	CCONJ
flr-13	243	105	test	test	NOUN
flr-13	243	106	strategies	strategy	NOUN
flr-13	243	107	scale	scale	NOUN
flr-13	243	108	(	(	PUNCT
flr-13	243	109	α	α	NOUN
flr-13	243	110	=	=	SYM
flr-13	243	111	.80	.80	NUM
flr-13	243	112	)	)	PUNCT
flr-13	243	113	.	.	PUNCT
flr-13	244	1	the	the	DET
flr-13	244	2	present	present	ADJ
flr-13	244	3	study	study	NOUN
flr-13	244	4	used	use	VERB
flr-13	244	5	a	a	DET
flr-13	244	6	spanish	spanish	ADJ
flr-13	244	7	-	-	PUNCT
flr-13	244	8	version	version	NOUN
flr-13	244	9	(	(	PUNCT
flr-13	244	10	strucchi	strucchi	ADJ
flr-13	244	11	,	,	PUNCT
flr-13	244	12	1991	1991	NUM
flr-13	244	13	)	)	PUNCT
flr-13	244	14	,	,	PUNCT
flr-13	244	15	which	which	PRON
flr-13	244	16	was	be	AUX
flr-13	244	17	slightly	slightly	ADV
flr-13	244	18	modified	modify	VERB
flr-13	244	19	in	in	ADP
flr-13	244	20	some	some	DET
flr-13	244	21	semantic	semantic	ADJ
flr-13	244	22	and	and	CCONJ
flr-13	244	23	grammatical	grammatical	ADJ
flr-13	244	24	aspects	aspect	NOUN
flr-13	244	25	for	for	ADP
flr-13	244	26	the	the	DET
flr-13	244	27	local	local	ADJ
flr-13	244	28	sample	sample	NOUN
flr-13	244	29	.	.	PUNCT
flr-13	245	1	the	the	DET
flr-13	245	2	exploratory	exploratory	ADJ
flr-13	245	3	factor	factor	NOUN
flr-13	245	4	analysis	analysis	NOUN
flr-13	245	5	determined	determine	VERB
flr-13	245	6	a	a	DET
flr-13	245	7	matrix	matrix	NOUN
flr-13	245	8	with	with	ADP
flr-13	245	9	five	five	NUM
flr-13	245	10	factors	factor	NOUN
flr-13	245	11	that	that	PRON
flr-13	245	12	explained	explain	VERB
flr-13	245	13	37.52	37.52	NUM
flr-13	245	14	%	%	NOUN
flr-13	245	15	of	of	ADP
flr-13	245	16	the	the	DET
flr-13	245	17	variance	variance	NOUN
flr-13	245	18	.	.	PUNCT
flr-13	246	1	factor	factor	NOUN
flr-13	246	2	1	1	NUM
flr-13	246	3	related	relate	VERB
flr-13	246	4	to	to	ADP
flr-13	246	5	“	"	PUNCT
flr-13	246	6	cognitive	cognitive	ADJ
flr-13	246	7	resources	resource	NOUN
flr-13	246	8	/	/	SYM
flr-13	246	9	cognitive	cognitive	ADJ
flr-13	246	10	processing	processing	NOUN
flr-13	246	11	”	"	PUNCT
flr-13	246	12	(	(	PUNCT
flr-13	246	13	α	α	NOUN
flr-13	246	14	=	=	SYM
flr-13	246	15	.871	.871	NUM
flr-13	246	16	;	;	PUNCT
flr-13	246	17	13	13	NUM
flr-13	246	18	items	item	NOUN
flr-13	246	19	;	;	PUNCT
flr-13	246	20	r	r	NOUN
flr-13	246	21	2	2	NUM
flr-13	246	22	=	=	SYM
flr-13	246	23	18.03	18.03	NUM
flr-13	246	24	%	%	NOUN
flr-13	246	25	)	)	PUNCT
flr-13	246	26	;	;	PUNCT
flr-13	246	27	factor	factor	NOUN
flr-13	246	28	2	2	NUM
flr-13	246	29	,	,	PUNCT
flr-13	246	30	related	relate	VERB
flr-13	246	31	to	to	ADP
flr-13	246	32	“	"	PUNCT
flr-13	246	33	time	time	NOUN
flr-13	246	34	management	management	NOUN
flr-13	246	35	”	"	PUNCT
flr-13	246	36	(	(	PUNCT
flr-13	246	37	α	α	NOUN
flr-13	246	38	=	=	PUNCT
flr-13	246	39	.807	.807	NUM
flr-13	246	40	;	;	PUNCT
flr-13	246	41	10	10	NUM
flr-13	246	42	items	item	NOUN
flr-13	246	43	;	;	PUNCT
flr-13	246	44	r	r	NOUN
flr-13	246	45	2	2	NUM
flr-13	246	46	=	=	SYM
flr-13	246	47	8.404	8.404	NUM
flr-13	246	48	%	%	NOUN
flr-13	246	49	)	)	PUNCT
flr-13	246	50	;	;	PUNCT
flr-13	246	51	factor	factor	NOUN
flr-13	246	52	3	3	NUM
flr-13	246	53	,	,	PUNCT
flr-13	246	54	dealing	deal	VERB
flr-13	246	55	with	with	ADP
flr-13	246	56	“	"	PUNCT
flr-13	246	57	processing	processing	NOUN
flr-13	246	58	of	of	ADP
flr-13	246	59	information	information	NOUN
flr-13	246	60	and	and	CCONJ
flr-13	246	61	generalization	generalization	NOUN
flr-13	246	62	”	"	PUNCT
flr-13	246	63	(	(	PUNCT
flr-13	246	64	α	α	NOUN
flr-13	246	65	=	=	PUNCT
flr-13	246	66	.783	.783	NUM
flr-13	246	67	;	;	PUNCT
flr-13	246	68	8	8	NUM
flr-13	246	69	items	item	NOUN
flr-13	246	70	;	;	PUNCT
flr-13	246	71	r	r	NOUN
flr-13	246	72	2	2	NUM
flr-13	246	73	=	=	SYM
flr-13	246	74	4.567	4.567	NUM
flr-13	246	75	%	%	NOUN
flr-13	246	76	)	)	PUNCT
flr-13	246	77	;	;	PUNCT
flr-13	246	78	factor	factor	NOUN
flr-13	246	79	4	4	NUM
flr-13	246	80	which	which	PRON
flr-13	246	81	is	be	AUX
flr-13	246	82	related	relate	VERB
flr-13	246	83	to	to	ADP
flr-13	246	84	“	"	PUNCT
flr-13	246	85	anxiety	anxiety	NOUN
flr-13	246	86	management	management	NOUN
flr-13	246	87	”	"	PUNCT
flr-13	246	88	(	(	PUNCT
flr-13	246	89	α	α	NOUN
flr-13	246	90	=	=	SYM
flr-13	246	91	.60	.60	NUM
flr-13	246	92	;	;	PUNCT
flr-13	246	93	5	5	NUM
flr-13	246	94	items	item	NOUN
flr-13	246	95	;	;	PUNCT
flr-13	246	96	r	r	NOUN
flr-13	246	97	2	2	NUM
flr-13	246	98	=	=	SYM
flr-13	246	99	3.431	3.431	NUM
flr-13	246	100	%	%	NOUN
flr-13	246	101	)	)	PUNCT
flr-13	246	102	;	;	PUNCT
flr-13	246	103	and	and	CCONJ
flr-13	246	104	factor	factor	NOUN
flr-13	246	105	5	5	NUM
flr-13	246	106	,	,	PUNCT
flr-13	246	107	which	which	PRON
flr-13	246	108	involves	involve	VERB
flr-13	246	109	the	the	DET
flr-13	246	110	construct	construct	NOUN
flr-13	246	111	of	of	ADP
flr-13	246	112	“	"	PUNCT
flr-13	246	113	study	study	NOUN
flr-13	246	114	m.	m.	PROPN
flr-13	246	115	f.	f.	PROPN
flr-13	246	116	musso	musso	PROPN
flr-13	246	117	et	et	PROPN
flr-13	246	118	al	al	PROPN
flr-13	246	119	.	.	PROPN
flr-13	247	1	52	52	NUM
flr-13	248	1	|	|	NOUN
flr-13	248	2	f	f	NOUN
flr-13	248	3	l	l	NOUN
flr-13	248	4	r	r	NOUN
flr-13	248	5	techniques	technique	NOUN
flr-13	248	6	and	and	CCONJ
flr-13	248	7	use	use	NOUN
flr-13	248	8	of	of	ADP
flr-13	248	9	help	help	NOUN
flr-13	248	10	”	"	PUNCT
flr-13	248	11	(	(	PUNCT
flr-13	248	12	α	α	NOUN
flr-13	248	13	=	=	SYM
flr-13	248	14	.728	.728	NUM
flr-13	248	15	;	;	PUNCT
flr-13	248	16	7	7	NUM
flr-13	248	17	items	item	NOUN
flr-13	248	18	;	;	PUNCT
flr-13	248	19	r	r	NOUN
flr-13	248	20	2	2	NUM
flr-13	248	21	=	=	SYM
flr-13	248	22	2.685	2.685	NUM
flr-13	248	23	%	%	NOUN
flr-13	248	24	)	)	PUNCT
flr-13	248	25	.	.	PUNCT
flr-13	249	1	students	student	NOUN
flr-13	249	2	gave	give	VERB
flr-13	249	3	responses	response	NOUN
flr-13	249	4	on	on	ADP
flr-13	249	5	a	a	DET
flr-13	249	6	likerttype	likerttype	ADJ
flr-13	249	7	scale	scale	NOUN
flr-13	249	8	,	,	PUNCT
flr-13	249	9	from	from	ADP
flr-13	249	10	1	1	NUM
flr-13	249	11	(	(	PUNCT
flr-13	249	12	never	never	ADV
flr-13	249	13	)	)	PUNCT
flr-13	249	14	to	to	ADP
flr-13	249	15	5	5	NUM
flr-13	249	16	(	(	PUNCT
flr-13	249	17	always	always	ADV
flr-13	249	18	)	)	PUNCT
flr-13	249	19	.	.	PUNCT
flr-13	250	1	3.2.4	3.2.4	NUM
flr-13	250	2	background	background	NOUN
flr-13	250	3	information	information	NOUN
flr-13	250	4	basic	basic	ADJ
flr-13	250	5	background	background	NOUN
flr-13	250	6	information	information	NOUN
flr-13	250	7	of	of	ADP
flr-13	250	8	each	each	DET
flr-13	250	9	student	student	NOUN
flr-13	250	10	used	use	VERB
flr-13	250	11	in	in	ADP
flr-13	250	12	the	the	DET
flr-13	250	13	analyses	analysis	NOUN
flr-13	250	14	was	be	AUX
flr-13	250	15	:	:	PUNCT
flr-13	250	16	gender	gender	NOUN
flr-13	250	17	,	,	PUNCT
flr-13	250	18	highest	high	ADJ
flr-13	250	19	level	level	NOUN
flr-13	250	20	of	of	ADP
flr-13	250	21	education	education	NOUN
flr-13	250	22	of	of	ADP
flr-13	250	23	mother	mother	NOUN
flr-13	250	24	and	and	CCONJ
flr-13	250	25	father	father	NOUN
flr-13	250	26	(	(	PUNCT
flr-13	250	27	not	not	PART
flr-13	250	28	completed	complete	VERB
flr-13	250	29	primary	primary	ADJ
flr-13	250	30	schoolprimary	schoolprimary	ADJ
flr-13	250	31	schoolsecondary	schoolsecondary	NOUN
flr-13	250	32	schoolgraduated	schoolgraduate	VERB
flr-13	250	33	universitypost	universitypost	NOUN
flr-13	250	34	-	-	PUNCT
flr-13	250	35	graduate	graduate	NOUN
flr-13	250	36	)	)	PUNCT
flr-13	250	37	,	,	PUNCT
flr-13	250	38	occupation	occupation	NOUN
flr-13	250	39	of	of	ADP
flr-13	250	40	parents	parent	NOUN
flr-13	250	41	,	,	PUNCT
flr-13	250	42	and	and	CCONJ
flr-13	250	43	secondary	secondary	ADJ
flr-13	250	44	school	school	NOUN
flr-13	250	45	from	from	ADP
flr-13	250	46	which	which	PRON
flr-13	250	47	the	the	DET
flr-13	250	48	student	student	NOUN
flr-13	250	49	graduated	graduate	VERB
flr-13	250	50	(	(	PUNCT
flr-13	250	51	public	public	ADJ
flr-13	250	52	private	private	ADJ
flr-13	250	53	religious	religious	ADJ
flr-13	250	54	school	school	NOUN
flr-13	250	55	private	private	ADJ
flr-13	250	56	non	non	ADJ
flr-13	250	57	-	-	ADJ
flr-13	250	58	religious	religious	ADJ
flr-13	250	59	school	school	NOUN
flr-13	250	60	bilingual	bilingual	ADJ
flr-13	250	61	school	school	NOUN
flr-13	250	62	foreign	foreign	ADJ
flr-13	250	63	community	community	NOUN
flr-13	250	64	)	)	PUNCT
flr-13	250	65	3.2.5	3.2.5	NUM
flr-13	250	66	academic	academic	ADJ
flr-13	250	67	performance	performance	NOUN
flr-13	250	68	academic	academic	ADJ
flr-13	250	69	performance	performance	NOUN
flr-13	250	70	was	be	AUX
flr-13	250	71	measured	measure	VERB
flr-13	250	72	by	by	ADP
flr-13	250	73	the	the	DET
flr-13	250	74	grade	grade	NOUN
flr-13	250	75	point	point	NOUN
flr-13	250	76	average	average	NOUN
flr-13	250	77	(	(	PUNCT
flr-13	250	78	gpa	gpa	PROPN
flr-13	250	79	)	)	PUNCT
flr-13	250	80	of	of	ADP
flr-13	250	81	all	all	DET
flr-13	250	82	courses	course	NOUN
flr-13	250	83	(	(	PUNCT
flr-13	250	84	different	different	ADJ
flr-13	250	85	subjects	subject	NOUN
flr-13	250	86	depending	depend	VERB
flr-13	250	87	on	on	ADP
flr-13	250	88	the	the	DET
flr-13	250	89	discipline	discipline	NOUN
flr-13	250	90	)	)	PUNCT
flr-13	250	91	at	at	ADP
flr-13	250	92	the	the	DET
flr-13	250	93	end	end	NOUN
flr-13	250	94	of	of	ADP
flr-13	250	95	each	each	PRON
flr-13	250	96	of	of	ADP
flr-13	250	97	the	the	DET
flr-13	250	98	academic	academic	ADJ
flr-13	250	99	years	year	NOUN
flr-13	250	100	.	.	PUNCT
flr-13	251	1	all	all	DET
flr-13	251	2	course	course	NOUN
flr-13	251	3	grades	grade	NOUN
flr-13	251	4	which	which	PRON
flr-13	251	5	are	be	AUX
flr-13	251	6	used	use	VERB
flr-13	251	7	by	by	ADP
flr-13	251	8	the	the	DET
flr-13	251	9	universities	university	NOUN
flr-13	251	10	to	to	PART
flr-13	251	11	calculate	calculate	VERB
flr-13	251	12	the	the	DET
flr-13	251	13	overall	overall	ADJ
flr-13	251	14	gpa	gpa	NOUN
flr-13	251	15	are	be	AUX
flr-13	251	16	obtained	obtain	VERB
flr-13	251	17	using	use	VERB
flr-13	251	18	university	university	NOUN
flr-13	251	19	-	-	PUNCT
flr-13	251	20	wide	wide	ADJ
flr-13	251	21	criteria	criterion	NOUN
flr-13	251	22	for	for	ADP
flr-13	251	23	the	the	DET
flr-13	251	24	interpretation	interpretation	NOUN
flr-13	251	25	and	and	CCONJ
flr-13	251	26	assignment	assignment	NOUN
flr-13	251	27	of	of	ADP
flr-13	251	28	final	final	ADJ
flr-13	251	29	scores	score	NOUN
flr-13	251	30	in	in	ADP
flr-13	251	31	each	each	DET
flr-13	251	32	course	course	NOUN
flr-13	251	33	,	,	PUNCT
flr-13	251	34	from	from	ADP
flr-13	251	35	which	which	PRON
flr-13	251	36	the	the	DET
flr-13	251	37	gpa	gpa	PROPN
flr-13	251	38	was	be	AUX
flr-13	251	39	calculated	calculate	VERB
flr-13	251	40	.	.	PUNCT
flr-13	252	1	the	the	DET
flr-13	252	2	gpa	gpa	PROPN
flr-13	252	3	information	information	NOUN
flr-13	252	4	was	be	AUX
flr-13	252	5	collected	collect	VERB
flr-13	252	6	from	from	ADP
flr-13	252	7	official	official	ADJ
flr-13	252	8	records	record	NOUN
flr-13	252	9	at	at	ADP
flr-13	252	10	the	the	DET
flr-13	252	11	end	end	NOUN
flr-13	252	12	of	of	ADP
flr-13	252	13	the	the	DET
flr-13	252	14	first	first	ADJ
flr-13	252	15	academic	academic	ADJ
flr-13	252	16	year	year	NOUN
flr-13	252	17	for	for	ADP
flr-13	252	18	each	each	DET
flr-13	252	19	student	student	NOUN
flr-13	252	20	,	,	PUNCT
flr-13	252	21	at	at	ADP
flr-13	252	22	each	each	PRON
flr-13	252	23	of	of	ADP
flr-13	252	24	the	the	DET
flr-13	252	25	participating	participate	VERB
flr-13	252	26	universities	university	NOUN
flr-13	252	27	,	,	PUNCT
flr-13	252	28	and	and	CCONJ
flr-13	252	29	they	they	PRON
flr-13	252	30	all	all	PRON
flr-13	252	31	are	be	AUX
flr-13	252	32	in	in	ADP
flr-13	252	33	a	a	DET
flr-13	252	34	scale	scale	NOUN
flr-13	252	35	from	from	ADP
flr-13	252	36	0	0	NUM
flr-13	252	37	to	to	ADP
flr-13	252	38	10	10	NUM
flr-13	252	39	(	(	PUNCT
flr-13	252	40	with	with	ADP
flr-13	252	41	10	10	NUM
flr-13	252	42	indicating	indicate	VERB
flr-13	252	43	best	good	ADJ
flr-13	252	44	performance	performance	NOUN
flr-13	252	45	)	)	PUNCT
flr-13	252	46	.	.	PUNCT
flr-13	253	1	3.3	3.3	NUM
flr-13	253	2	analyses	analysis	NOUN
flr-13	253	3	procedure	procedure	NOUN
flr-13	253	4	the	the	DET
flr-13	253	5	ann	ann	PROPN
flr-13	253	6	model	model	NOUN
flr-13	253	7	used	use	VERB
flr-13	253	8	was	be	AUX
flr-13	253	9	a	a	DET
flr-13	253	10	backpropagation	backpropagation	NOUN
flr-13	253	11	multilayer	multilayer	NOUN
flr-13	253	12	perceptron	perceptron	PROPN
flr-13	253	13	neural	neural	ADJ
flr-13	253	14	network	network	NOUN
flr-13	253	15	,	,	PUNCT
flr-13	253	16	that	that	ADV
flr-13	253	17	is	is	ADV
flr-13	253	18	,	,	PUNCT
flr-13	253	19	a	a	DET
flr-13	253	20	multilayer	multilayer	ADJ
flr-13	253	21	network	network	NOUN
flr-13	253	22	composed	compose	VERB
flr-13	253	23	of	of	ADP
flr-13	253	24	nonlinear	nonlinear	ADJ
flr-13	253	25	units	unit	NOUN
flr-13	253	26	,	,	PUNCT
flr-13	253	27	which	which	PRON
flr-13	253	28	computes	compute	VERB
flr-13	253	29	its	its	PRON
flr-13	253	30	activation	activation	NOUN
flr-13	253	31	level	level	NOUN
flr-13	253	32	by	by	ADP
flr-13	253	33	summing	sum	VERB
flr-13	253	34	all	all	DET
flr-13	253	35	the	the	DET
flr-13	253	36	weighted	weighted	ADJ
flr-13	253	37	activations	activation	NOUN
flr-13	253	38	it	it	PRON
flr-13	253	39	receives	receive	VERB
flr-13	253	40	and	and	CCONJ
flr-13	253	41	which	which	PRON
flr-13	253	42	then	then	ADV
flr-13	253	43	transforms	transform	VERB
flr-13	253	44	its	its	PRON
flr-13	253	45	activation	activation	NOUN
flr-13	253	46	into	into	ADP
flr-13	253	47	a	a	DET
flr-13	253	48	response	response	NOUN
flr-13	253	49	via	via	ADP
flr-13	253	50	a	a	DET
flr-13	253	51	nonlinear	nonlinear	ADJ
flr-13	253	52	transfer	transfer	NOUN
flr-13	253	53	function	function	NOUN
flr-13	253	54	,	,	PUNCT
flr-13	253	55	which	which	PRON
flr-13	253	56	establishes	establish	VERB
flr-13	253	57	a	a	DET
flr-13	253	58	relationship	relationship	NOUN
flr-13	253	59	between	between	ADP
flr-13	253	60	the	the	DET
flr-13	253	61	inputs	input	NOUN
flr-13	253	62	and	and	CCONJ
flr-13	253	63	the	the	DET
flr-13	253	64	weights	weight	NOUN
flr-13	253	65	they	they	PRON
flr-13	253	66	are	be	AUX
flr-13	253	67	assigned	assign	VERB
flr-13	253	68	.	.	PUNCT
flr-13	254	1	during	during	ADP
flr-13	254	2	the	the	DET
flr-13	254	3	training	training	NOUN
flr-13	254	4	phase	phase	NOUN
flr-13	254	5	,	,	PUNCT
flr-13	254	6	these	these	DET
flr-13	254	7	systems	system	NOUN
flr-13	254	8	evaluate	evaluate	VERB
flr-13	254	9	the	the	DET
flr-13	254	10	effect	effect	NOUN
flr-13	254	11	of	of	ADP
flr-13	254	12	the	the	DET
flr-13	254	13	weight	weight	NOUN
flr-13	254	14	patterns	pattern	NOUN
flr-13	254	15	on	on	ADP
flr-13	254	16	the	the	DET
flr-13	254	17	precision	precision	NOUN
flr-13	254	18	of	of	ADP
flr-13	254	19	their	their	PRON
flr-13	254	20	classification	classification	NOUN
flr-13	254	21	of	of	ADP
flr-13	254	22	outputs	output	NOUN
flr-13	254	23	,	,	PUNCT
flr-13	254	24	and	and	CCONJ
flr-13	254	25	then	then	ADV
flr-13	254	26	,	,	PUNCT
flr-13	254	27	through	through	ADP
flr-13	254	28	backpropagation	backpropagation	NOUN
flr-13	254	29	,	,	PUNCT
flr-13	254	30	they	they	PRON
flr-13	254	31	adjust	adjust	VERB
flr-13	254	32	those	those	DET
flr-13	254	33	weights	weight	NOUN
flr-13	254	34	in	in	ADP
flr-13	254	35	a	a	DET
flr-13	254	36	recursive	recursive	ADJ
flr-13	254	37	fashion	fashion	NOUN
flr-13	254	38	until	until	SCONJ
flr-13	254	39	they	they	PRON
flr-13	254	40	maximize	maximize	VERB
flr-13	254	41	the	the	DET
flr-13	254	42	precision	precision	NOUN
flr-13	254	43	of	of	ADP
flr-13	254	44	the	the	DET
flr-13	254	45	resulting	result	VERB
flr-13	254	46	classifications	classification	NOUN
flr-13	254	47	.	.	PUNCT
flr-13	255	1	ann	ann	PROPN
flr-13	255	2	parameters	parameter	NOUN
flr-13	255	3	and	and	CCONJ
flr-13	255	4	variable	variable	ADJ
flr-13	255	5	groupings	grouping	NOUN
flr-13	255	6	,	,	PUNCT
flr-13	255	7	as	as	ADV
flr-13	255	8	well	well	ADV
flr-13	255	9	as	as	ADP
flr-13	255	10	all	all	DET
flr-13	255	11	other	other	ADJ
flr-13	255	12	network	network	NOUN
flr-13	255	13	architecture	architecture	NOUN
flr-13	255	14	parameters	parameter	NOUN
flr-13	255	15	,	,	PUNCT
flr-13	255	16	were	be	AUX
flr-13	255	17	adjusted	adjust	VERB
flr-13	255	18	to	to	PART
flr-13	255	19	maximize	maximize	VERB
flr-13	255	20	predictive	predictive	ADJ
flr-13	255	21	precision	precision	NOUN
flr-13	255	22	and	and	CCONJ
flr-13	255	23	total	total	ADJ
flr-13	255	24	accuracy	accuracy	NOUN
flr-13	255	25	.	.	PUNCT
flr-13	256	1	confusion	confusion	NOUN
flr-13	256	2	matrices	matrix	NOUN
flr-13	256	3	have	have	AUX
flr-13	256	4	been	be	AUX
flr-13	256	5	determined	determine	VERB
flr-13	256	6	for	for	ADP
flr-13	256	7	each	each	DET
flr-13	256	8	ann	ann	PROPN
flr-13	256	9	,	,	PUNCT
flr-13	256	10	as	as	ADV
flr-13	256	11	well	well	ADV
flr-13	256	12	as	as	ADP
flr-13	256	13	roc	roc	PROPN
flr-13	256	14	analyses	analysis	NOUN
flr-13	256	15	for	for	ADP
flr-13	256	16	the	the	DET
flr-13	256	17	evaluation	evaluation	NOUN
flr-13	256	18	of	of	ADP
flr-13	256	19	sensitivity	sensitivity	NOUN
flr-13	256	20	and	and	CCONJ
flr-13	256	21	specificity	specificity	NOUN
flr-13	256	22	parameters	parameter	NOUN
flr-13	256	23	.	.	PUNCT
flr-13	257	1	parameters	parameter	NOUN
flr-13	257	2	such	such	ADJ
flr-13	257	3	as	as	ADP
flr-13	257	4	learning	learn	VERB
flr-13	257	5	rate	rate	NOUN
flr-13	257	6	(	(	PUNCT
flr-13	257	7	the	the	DET
flr-13	257	8	rate	rate	NOUN
flr-13	257	9	at	at	ADP
flr-13	257	10	which	which	PRON
flr-13	257	11	the	the	DET
flr-13	257	12	ann	ann	PROPN
flr-13	257	13	“	"	PUNCT
flr-13	257	14	learns	learns	PROPN
flr-13	257	15	”	"	PUNCT
flr-13	257	16	by	by	ADP
flr-13	257	17	controlling	control	VERB
flr-13	257	18	the	the	DET
flr-13	257	19	size	size	NOUN
flr-13	257	20	of	of	ADP
flr-13	257	21	weight	weight	NOUN
flr-13	257	22	and	and	CCONJ
flr-13	257	23	bias	bias	NOUN
flr-13	257	24	changes	change	NOUN
flr-13	257	25	during	during	ADP
flr-13	257	26	learning	learn	VERB
flr-13	257	27	)	)	PUNCT
flr-13	257	28	,	,	PUNCT
flr-13	257	29	momentum	momentum	NOUN
flr-13	257	30	(	(	PUNCT
flr-13	257	31	adds	add	VERB
flr-13	257	32	a	a	DET
flr-13	257	33	fraction	fraction	NOUN
flr-13	257	34	of	of	ADP
flr-13	257	35	the	the	DET
flr-13	257	36	previous	previous	ADJ
flr-13	257	37	weight	weight	NOUN
flr-13	257	38	update	update	NOUN
flr-13	257	39	to	to	ADP
flr-13	257	40	the	the	DET
flr-13	257	41	current	current	ADJ
flr-13	257	42	one	one	NUM
flr-13	257	43	,	,	PUNCT
flr-13	257	44	and	and	CCONJ
flr-13	257	45	is	be	AUX
flr-13	257	46	used	use	VERB
flr-13	257	47	to	to	PART
flr-13	257	48	prevent	prevent	VERB
flr-13	257	49	the	the	DET
flr-13	257	50	system	system	NOUN
flr-13	257	51	from	from	ADP
flr-13	257	52	converging	converge	VERB
flr-13	257	53	to	to	ADP
flr-13	257	54	a	a	DET
flr-13	257	55	local	local	ADJ
flr-13	257	56	minimum	minimum	NOUN
flr-13	257	57	)	)	PUNCT
flr-13	257	58	,	,	PUNCT
flr-13	257	59	number	number	NOUN
flr-13	257	60	of	of	ADP
flr-13	257	61	hidden	hidden	ADJ
flr-13	257	62	layers	layer	NOUN
flr-13	257	63	,	,	PUNCT
flr-13	257	64	stopping	stop	VERB
flr-13	257	65	rules	rule	NOUN
flr-13	257	66	(	(	PUNCT
flr-13	257	67	when	when	SCONJ
flr-13	257	68	the	the	DET
flr-13	257	69	network	network	NOUN
flr-13	257	70	should	should	AUX
flr-13	257	71	stop	stop	VERB
flr-13	257	72	“	"	PUNCT
flr-13	257	73	learning	learn	VERB
flr-13	257	74	”	"	PUNCT
flr-13	257	75	to	to	PART
flr-13	257	76	avoid	avoid	VERB
flr-13	257	77	over	over	ADP
flr-13	257	78	-	-	PUNCT
flr-13	257	79	fitting	fit	VERB
flr-13	257	80	the	the	DET
flr-13	257	81	current	current	ADJ
flr-13	257	82	sample	sample	NOUN
flr-13	257	83	)	)	PUNCT
flr-13	257	84	,	,	PUNCT
flr-13	257	85	activation	activation	NOUN
flr-13	257	86	functions	function	NOUN
flr-13	257	87	(	(	PUNCT
flr-13	257	88	which	which	PRON
flr-13	257	89	define	define	VERB
flr-13	257	90	the	the	DET
flr-13	257	91	output	output	NOUN
flr-13	257	92	of	of	ADP
flr-13	257	93	a	a	DET
flr-13	257	94	node	node	NOUN
flr-13	257	95	given	give	VERB
flr-13	257	96	an	an	DET
flr-13	257	97	input	input	NOUN
flr-13	257	98	or	or	CCONJ
flr-13	257	99	set	set	NOUN
flr-13	257	100	of	of	ADP
flr-13	257	101	inputs	input	NOUN
flr-13	257	102	to	to	ADP
flr-13	257	103	that	that	DET
flr-13	257	104	node	node	NOUN
flr-13	257	105	or	or	CCONJ
flr-13	257	106	unit	unit	NOUN
flr-13	257	107	)	)	PUNCT
flr-13	257	108	,	,	PUNCT
flr-13	257	109	and	and	CCONJ
flr-13	257	110	number	number	NOUN
flr-13	257	111	of	of	ADP
flr-13	257	112	nodes	node	NOUN
flr-13	257	113	were	be	AUX
flr-13	257	114	specified	specify	VERB
flr-13	257	115	and	and	CCONJ
flr-13	257	116	varied	varied	ADJ
flr-13	257	117	in	in	ADP
flr-13	257	118	the	the	DET
flr-13	257	119	model	model	NOUN
flr-13	257	120	construction	construction	NOUN
flr-13	257	121	phase	phase	NOUN
flr-13	257	122	in	in	ADP
flr-13	257	123	order	order	NOUN
flr-13	257	124	to	to	PART
flr-13	257	125	maximize	maximize	VERB
flr-13	257	126	the	the	DET
flr-13	257	127	overall	overall	ADJ
flr-13	257	128	performance	performance	NOUN
flr-13	257	129	of	of	ADP
flr-13	257	130	the	the	DET
flr-13	257	131	network	network	NOUN
flr-13	257	132	model	model	NOUN
flr-13	257	133	.	.	PUNCT
flr-13	258	1	3.4	3.4	NUM
flr-13	258	2	architecture	architecture	NOUN
flr-13	258	3	of	of	ADP
flr-13	258	4	the	the	DET
flr-13	258	5	neural	neural	ADJ
flr-13	258	6	networks	network	NOUN
flr-13	258	7	according	accord	VERB
flr-13	258	8	to	to	ADP
flr-13	258	9	the	the	DET
flr-13	258	10	objectives	objective	NOUN
flr-13	258	11	of	of	ADP
flr-13	258	12	this	this	DET
flr-13	258	13	research	research	NOUN
flr-13	258	14	,	,	PUNCT
flr-13	258	15	three	three	NUM
flr-13	258	16	different	different	ADJ
flr-13	258	17	neural	neural	ADJ
flr-13	258	18	networks	network	NOUN
flr-13	258	19	(	(	PUNCT
flr-13	258	20	ann	ann	PROPN
flr-13	258	21	)	)	PUNCT
flr-13	258	22	were	be	AUX
flr-13	258	23	developed	develop	VERB
flr-13	258	24	as	as	ADP
flr-13	258	25	predictive	predictive	ADJ
flr-13	258	26	systems	system	NOUN
flr-13	258	27	for	for	ADP
flr-13	258	28	the	the	DET
flr-13	258	29	gpa	gpa	PROPN
flr-13	258	30	of	of	ADP
flr-13	258	31	the	the	DET
flr-13	258	32	students	student	NOUN
flr-13	258	33	in	in	ADP
flr-13	258	34	this	this	DET
flr-13	258	35	study	study	NOUN
flr-13	258	36	.	.	PUNCT
flr-13	259	1	ann1	ann1	PROPN
flr-13	259	2	was	be	AUX
flr-13	259	3	developed	develop	VERB
flr-13	259	4	to	to	PART
flr-13	259	5	maximize	maximize	VERB
flr-13	259	6	the	the	DET
flr-13	259	7	predictive	predictive	ADJ
flr-13	259	8	classification	classification	NOUN
flr-13	259	9	of	of	ADP
flr-13	259	10	the	the	DET
flr-13	259	11	lowest	low	ADJ
flr-13	259	12	33	33	NUM
flr-13	259	13	%	%	NOUN
flr-13	259	14	of	of	ADP
flr-13	259	15	students	student	NOUN
flr-13	259	16	,	,	PUNCT
flr-13	259	17	which	which	PRON
flr-13	259	18	would	would	AUX
flr-13	259	19	be	be	AUX
flr-13	259	20	scoring	score	VERB
flr-13	259	21	the	the	DET
flr-13	259	22	lowest	low	ADJ
flr-13	259	23	average	average	ADJ
flr-13	259	24	gpa	gpa	NOUN
flr-13	259	25	at	at	ADP
flr-13	259	26	the	the	DET
flr-13	259	27	end	end	NOUN
flr-13	259	28	of	of	ADP
flr-13	259	29	the	the	DET
flr-13	259	30	academic	academic	ADJ
flr-13	259	31	year	year	NOUN
flr-13	259	32	.	.	PUNCT
flr-13	260	1	ann2	ann2	PROPN
flr-13	260	2	was	be	AUX
flr-13	260	3	developed	develop	VERB
flr-13	260	4	to	to	PART
flr-13	260	5	maximize	maximize	VERB
flr-13	260	6	the	the	DET
flr-13	260	7	predictive	predictive	ADJ
flr-13	260	8	classification	classification	NOUN
flr-13	260	9	of	of	ADP
flr-13	260	10	the	the	DET
flr-13	260	11	highest	high	ADJ
flr-13	260	12	33	33	NUM
flr-13	260	13	%	%	NOUN
flr-13	260	14	of	of	ADP
flr-13	260	15	students	student	NOUN
flr-13	260	16	,	,	PUNCT
flr-13	260	17	which	which	PRON
flr-13	260	18	would	would	AUX
flr-13	260	19	be	be	AUX
flr-13	260	20	scoring	score	VERB
flr-13	260	21	the	the	DET
flr-13	260	22	highest	high	ADJ
flr-13	260	23	gpa	gpa	PROPN
flr-13	260	24	.	.	PUNCT
flr-13	261	1	ann3	ann3	PROPN
flr-13	261	2	was	be	AUX
flr-13	261	3	developed	develop	VERB
flr-13	261	4	to	to	PART
flr-13	261	5	predict	predict	VERB
flr-13	261	6	the	the	DET
flr-13	261	7	classification	classification	NOUN
flr-13	261	8	of	of	ADP
flr-13	261	9	students	student	NOUN
flr-13	261	10	into	into	ADP
flr-13	261	11	the	the	DET
flr-13	261	12	three	three	NUM
flr-13	261	13	levels	level	NOUN
flr-13	261	14	of	of	ADP
flr-13	261	15	expected	expect	VERB
flr-13	261	16	gpa	gpa	PROPN
flr-13	261	17	at	at	ADP
flr-13	261	18	the	the	DET
flr-13	261	19	same	same	ADJ
flr-13	261	20	time	time	NOUN
flr-13	261	21	.	.	PUNCT
flr-13	262	1	the	the	DET
flr-13	262	2	data	datum	NOUN
flr-13	262	3	set	set	VERB
flr-13	262	4	was	be	AUX
flr-13	262	5	partitioned	partition	VERB
flr-13	262	6	into	into	ADP
flr-13	262	7	a	a	DET
flr-13	262	8	training	training	NOUN
flr-13	262	9	set	set	NOUN
flr-13	262	10	and	and	CCONJ
flr-13	262	11	a	a	DET
flr-13	262	12	testing	testing	NOUN
flr-13	262	13	set	set	VERB
flr-13	262	14	for	for	ADP
flr-13	262	15	each	each	DET
flr-13	262	16	ann	ann	PROPN
flr-13	262	17	,	,	PUNCT
flr-13	262	18	and	and	CCONJ
flr-13	262	19	for	for	ADP
flr-13	262	20	each	each	DET
flr-13	262	21	network	network	NOUN
flr-13	262	22	,	,	PUNCT
flr-13	262	23	training	training	NOUN
flr-13	262	24	and	and	CCONJ
flr-13	262	25	testing	testing	NOUN
flr-13	262	26	samples	sample	NOUN
flr-13	262	27	were	be	AUX
flr-13	262	28	chosen	choose	VERB
flr-13	262	29	at	at	ADP
flr-13	262	30	random	random	ADJ
flr-13	262	31	by	by	ADP
flr-13	262	32	the	the	DET
flr-13	262	33	software	software	NOUN
flr-13	262	34	,	,	PUNCT
flr-13	262	35	from	from	ADP
flr-13	262	36	the	the	DET
flr-13	262	37	available	available	ADJ
flr-13	262	38	set	set	NOUN
flr-13	262	39	of	of	ADP
flr-13	262	40	cases	case	NOUN
flr-13	262	41	.	.	PUNCT
flr-13	263	1	one	one	NUM
flr-13	263	2	suggested	suggest	VERB
flr-13	263	3	criterion	criterion	NOUN
flr-13	263	4	is	be	AUX
flr-13	263	5	that	that	SCONJ
flr-13	263	6	the	the	DET
flr-13	263	7	number	number	NOUN
flr-13	263	8	of	of	ADP
flr-13	263	9	m.	m.	PROPN
flr-13	263	10	f.	f.	PROPN
flr-13	263	11	musso	musso	PROPN
flr-13	263	12	et	et	PROPN
flr-13	263	13	al	al	PROPN
flr-13	263	14	.	.	PROPN
flr-13	264	1	53	53	NUM
flr-13	265	1	|	|	NOUN
flr-13	265	2	f	f	NOUN
flr-13	265	3	l	l	NOUN
flr-13	265	4	r	r	NOUN
flr-13	265	5	training	training	NOUN
flr-13	265	6	inputs	input	NOUN
flr-13	265	7	(	(	PUNCT
flr-13	265	8	cases	case	NOUN
flr-13	265	9	)	)	PUNCT
flr-13	265	10	should	should	AUX
flr-13	265	11	be	be	AUX
flr-13	265	12	at	at	ADV
flr-13	265	13	least	least	ADV
flr-13	265	14	10	10	NUM
flr-13	265	15	times	time	NOUN
flr-13	265	16	the	the	DET
flr-13	265	17	number	number	NOUN
flr-13	265	18	of	of	ADP
flr-13	265	19	input	input	NOUN
flr-13	265	20	and	and	CCONJ
flr-13	265	21	middle	middle	ADJ
flr-13	265	22	layer	layer	NOUN
flr-13	265	23	neurons	neuron	NOUN
flr-13	265	24	in	in	ADP
flr-13	265	25	the	the	DET
flr-13	265	26	network	network	NOUN
flr-13	265	27	(	(	PUNCT
flr-13	265	28	garson	garson	PROPN
flr-13	265	29	,	,	PUNCT
flr-13	265	30	1998	1998	NUM
flr-13	265	31	)	)	PUNCT
flr-13	265	32	.	.	PUNCT
flr-13	266	1	similarly	similarly	ADV
flr-13	266	2	,	,	PUNCT
flr-13	266	3	it	it	PRON
flr-13	266	4	is	be	AUX
flr-13	266	5	suggested	suggest	VERB
flr-13	266	6	that	that	SCONJ
flr-13	266	7	about	about	ADV
flr-13	266	8	2/3	2/3	NUM
flr-13	266	9	(	(	PUNCT
flr-13	266	10	or	or	CCONJ
flr-13	266	11	3/4	3/4	NUM
flr-13	266	12	)	)	PUNCT
flr-13	266	13	of	of	ADP
flr-13	266	14	the	the	DET
flr-13	266	15	cases	case	NOUN
flr-13	266	16	in	in	ADP
flr-13	266	17	the	the	DET
flr-13	266	18	available	available	ADJ
flr-13	266	19	data	datum	NOUN
flr-13	266	20	set	set	VERB
flr-13	266	21	be	be	AUX
flr-13	266	22	used	use	VERB
flr-13	266	23	for	for	ADP
flr-13	266	24	the	the	DET
flr-13	266	25	training	training	NOUN
flr-13	266	26	phase	phase	NOUN
flr-13	266	27	in	in	ADP
flr-13	266	28	order	order	NOUN
flr-13	266	29	to	to	PART
flr-13	266	30	include	include	VERB
flr-13	266	31	a	a	DET
flr-13	266	32	set	set	NOUN
flr-13	266	33	of	of	ADP
flr-13	266	34	cases	case	NOUN
flr-13	266	35	representing	represent	VERB
flr-13	266	36	most	most	ADJ
flr-13	266	37	of	of	ADP
flr-13	266	38	the	the	DET
flr-13	266	39	patterns	pattern	NOUN
flr-13	266	40	expected	expect	VERB
flr-13	266	41	to	to	PART
flr-13	266	42	be	be	AUX
flr-13	266	43	present	present	ADJ
flr-13	266	44	in	in	ADP
flr-13	266	45	the	the	DET
flr-13	266	46	data	datum	NOUN
flr-13	266	47	(	(	PUNCT
flr-13	266	48	patterns	pattern	NOUN
flr-13	266	49	represented	represent	VERB
flr-13	266	50	by	by	ADP
flr-13	266	51	the	the	DET
flr-13	266	52	vector	vector	NOUN
flr-13	266	53	for	for	ADP
flr-13	266	54	each	each	DET
flr-13	266	55	case	case	NOUN
flr-13	266	56	)	)	PUNCT
flr-13	266	57	.	.	PUNCT
flr-13	267	1	the	the	DET
flr-13	267	2	remaining	remain	VERB
flr-13	267	3	1/3	1/3	NUM
flr-13	267	4	or	or	CCONJ
flr-13	267	5	1/4	1/4	NUM
flr-13	267	6	of	of	ADP
flr-13	267	7	the	the	DET
flr-13	267	8	data	datum	NOUN
flr-13	267	9	is	be	AUX
flr-13	267	10	used	use	VERB
flr-13	267	11	for	for	ADP
flr-13	267	12	the	the	DET
flr-13	267	13	testing	testing	NOUN
flr-13	267	14	phase	phase	NOUN
flr-13	267	15	of	of	ADP
flr-13	267	16	the	the	DET
flr-13	267	17	network	network	NOUN
flr-13	267	18	.	.	PUNCT
flr-13	268	1	the	the	DET
flr-13	268	2	specific	specific	ADJ
flr-13	268	3	architecture	architecture	NOUN
flr-13	268	4	of	of	ADP
flr-13	268	5	each	each	PRON
flr-13	268	6	of	of	ADP
flr-13	268	7	the	the	DET
flr-13	268	8	three	three	NUM
flr-13	268	9	neural	neural	ADJ
flr-13	268	10	networks	network	NOUN
flr-13	268	11	developed	develop	VERB
flr-13	268	12	is	be	AUX
flr-13	268	13	as	as	SCONJ
flr-13	268	14	follows	follow	VERB
flr-13	268	15	:	:	PUNCT
flr-13	268	16	ann1	ann1	PROPN
flr-13	268	17	(	(	PUNCT
flr-13	268	18	maximizing	maximize	VERB
flr-13	268	19	the	the	DET
flr-13	268	20	prediction	prediction	NOUN
flr-13	268	21	for	for	ADP
flr-13	268	22	the	the	DET
flr-13	268	23	low	low	ADJ
flr-13	268	24	33	33	NUM
flr-13	268	25	%	%	NOUN
flr-13	268	26	performance	performance	NOUN
flr-13	268	27	group	group	NOUN
flr-13	268	28	):	):	PUNCT
flr-13	268	29	all	all	DET
flr-13	268	30	cognitive	cognitive	ADJ
flr-13	268	31	variables	variable	NOUN
flr-13	268	32	,	,	PUNCT
flr-13	268	33	learning	learning	NOUN
flr-13	268	34	strategies	strategy	NOUN
flr-13	268	35	,	,	PUNCT
flr-13	268	36	and	and	CCONJ
flr-13	268	37	background	background	NOUN
flr-13	268	38	variables	variable	NOUN
flr-13	268	39	were	be	AUX
flr-13	268	40	introduced	introduce	VERB
flr-13	268	41	in	in	ADP
flr-13	268	42	the	the	DET
flr-13	268	43	analysis	analysis	NOUN
flr-13	268	44	.	.	PUNCT
flr-13	269	1	they	they	PRON
flr-13	269	2	were	be	AUX
flr-13	269	3	used	use	VERB
flr-13	269	4	for	for	ADP
flr-13	269	5	the	the	DET
flr-13	269	6	development	development	NOUN
flr-13	269	7	of	of	ADP
flr-13	269	8	the	the	DET
flr-13	269	9	vector	vector	NOUN
flr-13	269	10	-	-	PUNCT
flr-13	269	11	matrix	matrix	NOUN
flr-13	269	12	containing	contain	VERB
flr-13	269	13	all	all	DET
flr-13	269	14	predictor	predictor	NOUN
flr-13	269	15	variables	variable	NOUN
flr-13	269	16	for	for	ADP
flr-13	269	17	each	each	DET
flr-13	269	18	student	student	NOUN
flr-13	269	19	.	.	PUNCT
flr-13	270	1	the	the	DET
flr-13	270	2	resulting	result	VERB
flr-13	270	3	network	network	NOUN
flr-13	270	4	contained	contain	VERB
flr-13	270	5	all	all	DET
flr-13	270	6	the	the	DET
flr-13	270	7	input	input	NOUN
flr-13	270	8	predictors	predictor	NOUN
flr-13	270	9	,	,	PUNCT
flr-13	270	10	with	with	ADP
flr-13	270	11	a	a	DET
flr-13	270	12	total	total	NOUN
flr-13	270	13	of	of	ADP
flr-13	270	14	18	18	NUM
flr-13	270	15	input	input	NOUN
flr-13	270	16	units	unit	NOUN
flr-13	270	17	(	(	PUNCT
flr-13	270	18	reaction	reaction	NOUN
flr-13	270	19	time	time	NOUN
flr-13	270	20	operation	operation	NOUN
flr-13	270	21	,	,	PUNCT
flr-13	270	22	reaction	reaction	NOUN
flr-13	270	23	time	time	NOUN
flr-13	270	24	math	math	NOUN
flr-13	270	25	,	,	PUNCT
flr-13	270	26	reaction	reaction	NOUN
flr-13	270	27	time	time	NOUN
flr-13	270	28	problem	problem	NOUN
flr-13	270	29	,	,	PUNCT
flr-13	270	30	orienting	orient	VERB
flr-13	270	31	attention	attention	NOUN
flr-13	270	32	,	,	PUNCT
flr-13	270	33	alerting	alert	VERB
flr-13	270	34	attention	attention	NOUN
flr-13	270	35	,	,	PUNCT
flr-13	270	36	executive	executive	NOUN
flr-13	270	37	control	control	NOUN
flr-13	270	38	,	,	PUNCT
flr-13	270	39	absolute	absolute	ADJ
flr-13	270	40	aospan	aospan	NOUN
flr-13	270	41	,	,	PUNCT
flr-13	270	42	processing	processing	NOUN
flr-13	270	43	of	of	ADP
flr-13	270	44	information/	information/	NUM
flr-13	270	45	generalization	generalization	NOUN
flr-13	270	46	,	,	PUNCT
flr-13	270	47	study	study	NOUN
flr-13	270	48	techniques	technique	NOUN
flr-13	270	49	and	and	CCONJ
flr-13	270	50	use	use	NOUN
flr-13	270	51	of	of	ADP
flr-13	270	52	help	help	NOUN
flr-13	270	53	,	,	PUNCT
flr-13	270	54	anxiety	anxiety	NOUN
flr-13	270	55	management	management	NOUN
flr-13	270	56	,	,	PUNCT
flr-13	270	57	time	time	NOUN
flr-13	270	58	management	management	NOUN
flr-13	270	59	,	,	PUNCT
flr-13	270	60	cognitive	cognitive	ADJ
flr-13	270	61	resources	resource	NOUN
flr-13	270	62	/	/	SYM
flr-13	270	63	cognitive	cognitive	ADJ
flr-13	270	64	processing	processing	NOUN
flr-13	270	65	,	,	PUNCT
flr-13	270	66	gender	gender	NOUN
flr-13	270	67	,	,	PUNCT
flr-13	270	68	mother	mother	NOUN
flr-13	270	69	's	's	PART
flr-13	270	70	occupation	occupation	NOUN
flr-13	270	71	,	,	PUNCT
flr-13	270	72	father	father	NOUN
flr-13	270	73	's	's	PART
flr-13	270	74	occupation	occupation	NOUN
flr-13	270	75	,	,	PUNCT
flr-13	270	76	secondary	secondary	ADJ
flr-13	270	77	school	school	NOUN
flr-13	270	78	from	from	ADP
flr-13	270	79	which	which	PRON
flr-13	270	80	the	the	DET
flr-13	270	81	student	student	NOUN
flr-13	270	82	graduated	graduate	VERB
flr-13	270	83	,	,	PUNCT
flr-13	270	84	highest	high	ADJ
flr-13	270	85	level	level	NOUN
flr-13	270	86	of	of	ADP
flr-13	270	87	education	education	NOUN
flr-13	270	88	completed	complete	VERB
flr-13	270	89	by	by	ADP
flr-13	270	90	father	father	NOUN
flr-13	270	91	,	,	PUNCT
flr-13	270	92	and	and	CCONJ
flr-13	270	93	highest	high	ADJ
flr-13	270	94	level	level	NOUN
flr-13	270	95	of	of	ADP
flr-13	270	96	education	education	NOUN
flr-13	270	97	completed	complete	VERB
flr-13	270	98	by	by	ADP
flr-13	270	99	mother	mother	NOUN
flr-13	270	100	)	)	PUNCT
flr-13	270	101	.	.	PUNCT
flr-13	271	1	the	the	DET
flr-13	271	2	model	model	NOUN
flr-13	271	3	built	build	VERB
flr-13	271	4	contained	contain	VERB
flr-13	271	5	one	one	NUM
flr-13	271	6	hidden	hide	VERB
flr-13	271	7	layer	layer	NOUN
flr-13	271	8	,	,	PUNCT
flr-13	271	9	with	with	ADP
flr-13	271	10	15	15	NUM
flr-13	271	11	units	unit	NOUN
flr-13	271	12	.	.	PUNCT
flr-13	272	1	the	the	DET
flr-13	272	2	output	output	NOUN
flr-13	272	3	layer	layer	NOUN
flr-13	272	4	contained	contain	VERB
flr-13	272	5	a	a	DET
flr-13	272	6	dependent	dependent	ADJ
flr-13	272	7	variable	variable	NOUN
flr-13	272	8	with	with	ADP
flr-13	272	9	two	two	NUM
flr-13	272	10	units	unit	NOUN
flr-13	272	11	(	(	PUNCT
flr-13	272	12	categories	category	NOUN
flr-13	272	13	corresponding	correspond	VERB
flr-13	272	14	to	to	PART
flr-13	272	15	“	"	PUNCT
flr-13	272	16	belongs	belong	VERB
flr-13	272	17	to	to	PART
flr-13	272	18	lowest	low	ADJ
flr-13	272	19	33	33	NUM
flr-13	272	20	%	%	NOUN
flr-13	272	21	”	"	PUNCT
flr-13	272	22	or	or	CCONJ
flr-13	272	23	“	"	PUNCT
flr-13	272	24	belongs	belong	VERB
flr-13	272	25	to	to	ADP
flr-13	272	26	highest	high	ADJ
flr-13	272	27	67	67	NUM
flr-13	272	28	%	%	NOUN
flr-13	272	29	”	"	PUNCT
flr-13	272	30	)	)	PUNCT
flr-13	272	31	.	.	PUNCT
flr-13	273	1	in	in	ADP
flr-13	273	2	terms	term	NOUN
flr-13	273	3	of	of	ADP
flr-13	273	4	the	the	DET
flr-13	273	5	architecture	architecture	NOUN
flr-13	273	6	of	of	ADP
flr-13	273	7	the	the	DET
flr-13	273	8	network	network	NOUN
flr-13	273	9	,	,	PUNCT
flr-13	273	10	a	a	DET
flr-13	273	11	standardized	standardized	ADJ
flr-13	273	12	method	method	NOUN
flr-13	273	13	for	for	ADP
flr-13	273	14	the	the	DET
flr-13	273	15	rescaling	rescaling	NOUN
flr-13	273	16	of	of	ADP
flr-13	273	17	the	the	DET
flr-13	273	18	scale	scale	NOUN
flr-13	273	19	dependent	dependent	ADJ
flr-13	273	20	variables	variable	NOUN
flr-13	273	21	was	be	AUX
flr-13	273	22	used	use	VERB
flr-13	273	23	.	.	PUNCT
flr-13	274	1	the	the	DET
flr-13	274	2	hidden	hide	VERB
flr-13	274	3	layer	layer	NOUN
flr-13	274	4	had	have	VERB
flr-13	274	5	a	a	DET
flr-13	274	6	hyperbolic	hyperbolic	ADJ
flr-13	274	7	tangent	tangent	NOUN
flr-13	274	8	activation	activation	NOUN
flr-13	274	9	function	function	NOUN
flr-13	274	10	which	which	PRON
flr-13	274	11	is	be	AUX
flr-13	274	12	the	the	DET
flr-13	274	13	most	most	ADV
flr-13	274	14	common	common	ADJ
flr-13	274	15	activation	activation	NOUN
flr-13	274	16	function	function	NOUN
flr-13	274	17	used	use	VERB
flr-13	274	18	for	for	ADP
flr-13	274	19	neural	neural	ADJ
flr-13	274	20	networks	network	NOUN
flr-13	274	21	because	because	SCONJ
flr-13	274	22	of	of	ADP
flr-13	274	23	its	its	PRON
flr-13	274	24	greater	great	ADJ
flr-13	274	25	numeric	numeric	ADJ
flr-13	274	26	range	range	NOUN
flr-13	274	27	(	(	PUNCT
flr-13	274	28	from	from	ADP
flr-13	274	29	-1	-1	PART
flr-13	274	30	to	to	ADP
flr-13	274	31	1	1	NUM
flr-13	274	32	)	)	PUNCT
flr-13	274	33	and	and	CCONJ
flr-13	274	34	the	the	DET
flr-13	274	35	shape	shape	NOUN
flr-13	274	36	of	of	ADP
flr-13	274	37	its	its	PRON
flr-13	274	38	graph	graph	NOUN
flr-13	274	39	.	.	PUNCT
flr-13	275	1	the	the	DET
flr-13	275	2	output	output	NOUN
flr-13	275	3	layer	layer	NOUN
flr-13	275	4	utilized	utilize	VERB
flr-13	275	5	a	a	DET
flr-13	275	6	softmax	softmax	NOUN
flr-13	275	7	activation	activation	NOUN
flr-13	275	8	function	function	NOUN
flr-13	275	9	that	that	PRON
flr-13	275	10	is	be	AUX
flr-13	275	11	useful	useful	ADJ
flr-13	275	12	predominantly	predominantly	ADV
flr-13	275	13	in	in	ADP
flr-13	275	14	the	the	DET
flr-13	275	15	output	output	NOUN
flr-13	275	16	layer	layer	NOUN
flr-13	275	17	of	of	ADP
flr-13	275	18	a	a	DET
flr-13	275	19	clustering	clustering	ADJ
flr-13	275	20	system	system	NOUN
flr-13	275	21	,	,	PUNCT
flr-13	275	22	converting	convert	VERB
flr-13	275	23	a	a	DET
flr-13	275	24	raw	raw	ADJ
flr-13	275	25	value	value	NOUN
flr-13	275	26	into	into	ADP
flr-13	275	27	a	a	DET
flr-13	275	28	posterior	posterior	ADJ
flr-13	275	29	probability	probability	NOUN
flr-13	275	30	.	.	PUNCT
flr-13	276	1	the	the	DET
flr-13	276	2	output	output	NOUN
flr-13	276	3	layer	layer	NOUN
flr-13	276	4	used	use	VERB
flr-13	276	5	the	the	DET
flr-13	276	6	cross	cross	ADJ
flr-13	276	7	-	-	ADJ
flr-13	276	8	entropy	entropy	ADJ
flr-13	276	9	error	error	NOUN
flr-13	276	10	function	function	NOUN
flr-13	276	11	in	in	ADP
flr-13	276	12	which	which	PRON
flr-13	276	13	the	the	DET
flr-13	276	14	error	error	NOUN
flr-13	276	15	signal	signal	NOUN
flr-13	276	16	associated	associate	VERB
flr-13	276	17	with	with	ADP
flr-13	276	18	the	the	DET
flr-13	276	19	output	output	NOUN
flr-13	276	20	layer	layer	NOUN
flr-13	276	21	is	be	AUX
flr-13	276	22	directly	directly	ADV
flr-13	276	23	proportional	proportional	ADJ
flr-13	276	24	to	to	ADP
flr-13	276	25	the	the	DET
flr-13	276	26	difference	difference	NOUN
flr-13	276	27	between	between	ADP
flr-13	276	28	the	the	DET
flr-13	276	29	desired	desire	VERB
flr-13	276	30	and	and	CCONJ
flr-13	276	31	actual	actual	ADJ
flr-13	276	32	output	output	NOUN
flr-13	276	33	values	value	NOUN
flr-13	276	34	.	.	PUNCT
flr-13	277	1	this	this	DET
flr-13	277	2	function	function	NOUN
flr-13	277	3	accelerates	accelerate	VERB
flr-13	277	4	the	the	DET
flr-13	277	5	backpropagation	backpropagation	NOUN
flr-13	277	6	algorithm	algorithm	NOUN
flr-13	277	7	and	and	CCONJ
flr-13	277	8	it	it	PRON
flr-13	277	9	provides	provide	VERB
flr-13	277	10	good	good	ADJ
flr-13	277	11	overall	overall	ADJ
flr-13	277	12	network	network	NOUN
flr-13	277	13	performance	performance	NOUN
flr-13	277	14	with	with	ADP
flr-13	277	15	relatively	relatively	ADV
flr-13	277	16	short	short	ADJ
flr-13	277	17	stagnation	stagnation	NOUN
flr-13	277	18	periods	period	NOUN
flr-13	277	19	(	(	PUNCT
flr-13	277	20	nasr	nasr	PROPN
flr-13	277	21	,	,	PUNCT
flr-13	277	22	badr	badr	PROPN
flr-13	277	23	,	,	PUNCT
flr-13	277	24	&	&	CCONJ
flr-13	277	25	joun	joun	PROPN
flr-13	277	26	,	,	PUNCT
flr-13	277	27	2002	2002	NUM
flr-13	277	28	)	)	PUNCT
flr-13	277	29	.	.	PUNCT
flr-13	278	1	the	the	DET
flr-13	278	2	training	training	NOUN
flr-13	278	3	was	be	AUX
flr-13	278	4	carried	carry	VERB
flr-13	278	5	out	out	ADP
flr-13	278	6	with	with	ADP
flr-13	278	7	the	the	DET
flr-13	278	8	„	„	PUNCT
flr-13	278	9	online‟	online‟	NOUN
flr-13	278	10	methodology	methodology	NOUN
flr-13	278	11	(	(	PUNCT
flr-13	278	12	one	one	NUM
flr-13	278	13	case	case	NOUN
flr-13	278	14	per	per	ADP
flr-13	278	15	cycle	cycle	NOUN
flr-13	278	16	)	)	PUNCT
flr-13	278	17	,	,	PUNCT
flr-13	278	18	with	with	ADP
flr-13	278	19	an	an	DET
flr-13	278	20	initial	initial	ADJ
flr-13	278	21	learning	learning	NOUN
flr-13	278	22	rate	rate	NOUN
flr-13	278	23	of	of	ADP
flr-13	278	24	0.4	0.4	NUM
flr-13	278	25	,	,	PUNCT
flr-13	278	26	and	and	CCONJ
flr-13	278	27	momentum	momentum	NOUN
flr-13	278	28	equal	equal	ADJ
flr-13	278	29	to	to	ADP
flr-13	278	30	0.9	0.9	NUM
flr-13	278	31	.	.	PUNCT
flr-13	279	1	the	the	DET
flr-13	279	2	optimization	optimization	NOUN
flr-13	279	3	algorithm	algorithm	NOUN
flr-13	279	4	was	be	AUX
flr-13	279	5	gradient	gradient	ADJ
flr-13	279	6	descent	descent	NOUN
flr-13	279	7	(	(	PUNCT
flr-13	279	8	which	which	PRON
flr-13	279	9	takes	take	VERB
flr-13	279	10	steps	step	NOUN
flr-13	279	11	proportional	proportional	ADJ
flr-13	279	12	to	to	ADP
flr-13	279	13	the	the	DET
flr-13	279	14	negative	negative	NOUN
flr-13	279	15	of	of	ADP
flr-13	279	16	the	the	DET
flr-13	279	17	approximate	approximate	ADJ
flr-13	279	18	gradient	gradient	NOUN
flr-13	279	19	of	of	ADP
flr-13	279	20	the	the	DET
flr-13	279	21	function	function	NOUN
flr-13	279	22	at	at	ADP
flr-13	279	23	the	the	DET
flr-13	279	24	current	current	ADJ
flr-13	279	25	point	point	NOUN
flr-13	279	26	)	)	PUNCT
flr-13	279	27	,	,	PUNCT
flr-13	279	28	and	and	CCONJ
flr-13	279	29	the	the	DET
flr-13	279	30	minimum	minimum	ADJ
flr-13	279	31	relative	relative	ADJ
flr-13	279	32	change	change	NOUN
flr-13	279	33	in	in	ADP
flr-13	279	34	training	training	NOUN
flr-13	279	35	error	error	NOUN
flr-13	279	36	was	be	AUX
flr-13	279	37	0.0001	0.0001	NUM
flr-13	279	38	.	.	PUNCT
flr-13	280	1	ann2	ann2	NOUN
flr-13	280	2	(	(	PUNCT
flr-13	280	3	maximizing	maximize	VERB
flr-13	280	4	the	the	DET
flr-13	280	5	prediction	prediction	NOUN
flr-13	280	6	for	for	ADP
flr-13	280	7	the	the	DET
flr-13	280	8	high	high	ADJ
flr-13	280	9	33	33	NUM
flr-13	280	10	%	%	NOUN
flr-13	280	11	performance	performance	NOUN
flr-13	280	12	group	group	NOUN
flr-13	280	13	):	):	PUNCT
flr-13	280	14	all	all	DET
flr-13	280	15	cognitive	cognitive	ADJ
flr-13	280	16	,	,	PUNCT
flr-13	280	17	learning	learn	VERB
flr-13	280	18	strategies	strategy	NOUN
flr-13	280	19	,	,	PUNCT
flr-13	280	20	and	and	CCONJ
flr-13	280	21	background	background	NOUN
flr-13	280	22	variables	variable	NOUN
flr-13	280	23	were	be	AUX
flr-13	280	24	introduced	introduce	VERB
flr-13	280	25	in	in	ADP
flr-13	280	26	the	the	DET
flr-13	280	27	analysis	analysis	NOUN
flr-13	280	28	.	.	PUNCT
flr-13	281	1	they	they	PRON
flr-13	281	2	were	be	AUX
flr-13	281	3	used	use	VERB
flr-13	281	4	for	for	ADP
flr-13	281	5	the	the	DET
flr-13	281	6	development	development	NOUN
flr-13	281	7	of	of	ADP
flr-13	281	8	the	the	DET
flr-13	281	9	vector	vector	NOUN
flr-13	281	10	-	-	PUNCT
flr-13	281	11	matrix	matrix	NOUN
flr-13	281	12	containing	contain	VERB
flr-13	281	13	all	all	DET
flr-13	281	14	predictor	predictor	NOUN
flr-13	281	15	variables	variable	NOUN
flr-13	281	16	for	for	ADP
flr-13	281	17	each	each	DET
flr-13	281	18	student	student	NOUN
flr-13	281	19	.	.	PUNCT
flr-13	282	1	the	the	DET
flr-13	282	2	resulting	result	VERB
flr-13	282	3	network	network	NOUN
flr-13	282	4	contained	contain	VERB
flr-13	282	5	all	all	DET
flr-13	282	6	the	the	DET
flr-13	282	7	input	input	NOUN
flr-13	282	8	predictors	predictor	NOUN
flr-13	282	9	,	,	PUNCT
flr-13	282	10	with	with	ADP
flr-13	282	11	a	a	DET
flr-13	282	12	total	total	NOUN
flr-13	282	13	of	of	ADP
flr-13	282	14	18	18	NUM
flr-13	282	15	units	unit	NOUN
flr-13	282	16	(	(	PUNCT
flr-13	282	17	reaction	reaction	NOUN
flr-13	282	18	time	time	NOUN
flr-13	282	19	operation	operation	NOUN
flr-13	282	20	,	,	PUNCT
flr-13	282	21	reaction	reaction	NOUN
flr-13	282	22	time	time	NOUN
flr-13	282	23	math	math	NOUN
flr-13	282	24	,	,	PUNCT
flr-13	282	25	reaction	reaction	NOUN
flr-13	282	26	time	time	NOUN
flr-13	282	27	problem	problem	NOUN
flr-13	282	28	,	,	PUNCT
flr-13	282	29	orienting	orient	VERB
flr-13	282	30	attention	attention	NOUN
flr-13	282	31	,	,	PUNCT
flr-13	282	32	alerting	alert	VERB
flr-13	282	33	attention	attention	NOUN
flr-13	282	34	,	,	PUNCT
flr-13	282	35	executive	executive	NOUN
flr-13	282	36	control	control	NOUN
flr-13	282	37	,	,	PUNCT
flr-13	282	38	absolute	absolute	ADJ
flr-13	282	39	aospan	aospan	NOUN
flr-13	282	40	,	,	PUNCT
flr-13	282	41	processing	processing	NOUN
flr-13	282	42	of	of	ADP
flr-13	282	43	information	information	NOUN
flr-13	282	44	/	/	SYM
flr-13	282	45	generalization	generalization	NOUN
flr-13	282	46	,	,	PUNCT
flr-13	282	47	study	study	NOUN
flr-13	282	48	techniques	technique	NOUN
flr-13	282	49	and	and	CCONJ
flr-13	282	50	use	use	NOUN
flr-13	282	51	of	of	ADP
flr-13	282	52	help	help	NOUN
flr-13	282	53	,	,	PUNCT
flr-13	282	54	anxiety	anxiety	NOUN
flr-13	282	55	management	management	NOUN
flr-13	282	56	,	,	PUNCT
flr-13	282	57	time	time	NOUN
flr-13	282	58	management	management	NOUN
flr-13	282	59	,	,	PUNCT
flr-13	282	60	cognitive	cognitive	ADJ
flr-13	282	61	resources	resource	NOUN
flr-13	282	62	/	/	SYM
flr-13	282	63	cognitive	cognitive	ADJ
flr-13	282	64	processing	processing	NOUN
flr-13	282	65	,	,	PUNCT
flr-13	282	66	gender	gender	NOUN
flr-13	282	67	,	,	PUNCT
flr-13	282	68	mother	mother	NOUN
flr-13	282	69	's	's	PART
flr-13	282	70	occupation	occupation	NOUN
flr-13	282	71	,	,	PUNCT
flr-13	282	72	father	father	NOUN
flr-13	282	73	's	's	PART
flr-13	282	74	occupation	occupation	NOUN
flr-13	282	75	,	,	PUNCT
flr-13	282	76	secondary	secondary	ADJ
flr-13	282	77	school	school	NOUN
flr-13	282	78	from	from	ADP
flr-13	282	79	which	which	PRON
flr-13	282	80	the	the	DET
flr-13	282	81	student	student	NOUN
flr-13	282	82	graduated	graduate	VERB
flr-13	282	83	,	,	PUNCT
flr-13	282	84	highest	high	ADJ
flr-13	282	85	level	level	NOUN
flr-13	282	86	of	of	ADP
flr-13	282	87	education	education	NOUN
flr-13	282	88	completed	complete	VERB
flr-13	282	89	by	by	ADP
flr-13	282	90	father	father	NOUN
flr-13	282	91	,	,	PUNCT
flr-13	282	92	and	and	CCONJ
flr-13	282	93	highest	high	ADJ
flr-13	282	94	level	level	NOUN
flr-13	282	95	of	of	ADP
flr-13	282	96	education	education	NOUN
flr-13	282	97	completed	complete	VERB
flr-13	282	98	by	by	ADP
flr-13	282	99	mother	mother	NOUN
flr-13	282	100	)	)	PUNCT
flr-13	282	101	.	.	PUNCT
flr-13	283	1	the	the	DET
flr-13	283	2	model	model	NOUN
flr-13	283	3	built	build	VERB
flr-13	283	4	contained	contain	VERB
flr-13	283	5	one	one	NUM
flr-13	283	6	hidden	hide	VERB
flr-13	283	7	layer	layer	NOUN
flr-13	283	8	,	,	PUNCT
flr-13	283	9	with	with	ADP
flr-13	283	10	nine	nine	NUM
flr-13	283	11	units	unit	NOUN
flr-13	283	12	,	,	PUNCT
flr-13	283	13	and	and	CCONJ
flr-13	283	14	an	an	DET
flr-13	283	15	output	output	NOUN
flr-13	283	16	layer	layer	NOUN
flr-13	283	17	with	with	ADP
flr-13	283	18	two	two	NUM
flr-13	283	19	units	unit	NOUN
flr-13	283	20	(	(	PUNCT
flr-13	283	21	categories	category	NOUN
flr-13	283	22	corresponding	correspond	VERB
flr-13	283	23	to	to	PART
flr-13	283	24	“	"	PUNCT
flr-13	283	25	belongs	belong	VERB
flr-13	283	26	to	to	ADP
flr-13	283	27	highest	high	ADJ
flr-13	283	28	33	33	NUM
flr-13	283	29	%	%	NOUN
flr-13	283	30	”	"	PUNCT
flr-13	283	31	or	or	CCONJ
flr-13	283	32	“	"	PUNCT
flr-13	283	33	belongs	belong	VERB
flr-13	283	34	to	to	PART
flr-13	283	35	lowest	low	ADJ
flr-13	283	36	67	67	NUM
flr-13	283	37	%	%	NOUN
flr-13	283	38	”	"	PUNCT
flr-13	283	39	)	)	PUNCT
flr-13	283	40	.	.	PUNCT
flr-13	284	1	in	in	ADP
flr-13	284	2	terms	term	NOUN
flr-13	284	3	of	of	ADP
flr-13	284	4	the	the	DET
flr-13	284	5	architecture	architecture	NOUN
flr-13	284	6	of	of	ADP
flr-13	284	7	the	the	DET
flr-13	284	8	network	network	NOUN
flr-13	284	9	,	,	PUNCT
flr-13	284	10	a	a	DET
flr-13	284	11	standardized	standardized	ADJ
flr-13	284	12	method	method	NOUN
flr-13	284	13	for	for	ADP
flr-13	284	14	the	the	DET
flr-13	284	15	rescaling	rescaling	NOUN
flr-13	284	16	of	of	ADP
flr-13	284	17	scale	scale	NOUN
flr-13	284	18	dependent	dependent	ADJ
flr-13	284	19	variables	variable	NOUN
flr-13	284	20	was	be	AUX
flr-13	284	21	used	use	VERB
flr-13	284	22	.	.	PUNCT
flr-13	285	1	the	the	DET
flr-13	285	2	hidden	hide	VERB
flr-13	285	3	layer	layer	NOUN
flr-13	285	4	had	have	VERB
flr-13	285	5	a	a	DET
flr-13	285	6	hyperbolic	hyperbolic	ADJ
flr-13	285	7	tangent	tangent	NOUN
flr-13	285	8	activation	activation	NOUN
flr-13	285	9	function	function	NOUN
flr-13	285	10	.	.	PUNCT
flr-13	286	1	the	the	DET
flr-13	286	2	output	output	NOUN
flr-13	286	3	layer	layer	NOUN
flr-13	286	4	utilized	utilize	VERB
flr-13	286	5	a	a	DET
flr-13	286	6	softmax	softmax	NOUN
flr-13	286	7	activation	activation	NOUN
flr-13	286	8	function	function	NOUN
flr-13	286	9	.	.	PUNCT
flr-13	287	1	cross	cros	NOUN
flr-13	287	2	-	-	ADJ
flr-13	287	3	entropy	entropy	NOUN
flr-13	287	4	was	be	AUX
flr-13	287	5	chosen	choose	VERB
flr-13	287	6	as	as	ADP
flr-13	287	7	the	the	DET
flr-13	287	8	error	error	NOUN
flr-13	287	9	function	function	NOUN
flr-13	287	10	.	.	PUNCT
flr-13	288	1	the	the	DET
flr-13	288	2	dataset	dataset	NOUN
flr-13	288	3	was	be	AUX
flr-13	288	4	partitioned	partition	VERB
flr-13	288	5	into	into	ADP
flr-13	288	6	training	training	NOUN
flr-13	288	7	set	set	NOUN
flr-13	288	8	and	and	CCONJ
flr-13	288	9	testing	testing	NOUN
flr-13	288	10	set	set	NOUN
flr-13	288	11	.	.	PUNCT
flr-13	289	1	the	the	DET
flr-13	289	2	training	training	NOUN
flr-13	289	3	was	be	AUX
flr-13	289	4	carried	carry	VERB
flr-13	289	5	out	out	ADP
flr-13	289	6	with	with	ADP
flr-13	289	7	the	the	DET
flr-13	289	8	„	„	PUNCT
flr-13	289	9	online‟	online‟	NOUN
flr-13	289	10	methodology	methodology	NOUN
flr-13	289	11	,	,	PUNCT
flr-13	289	12	with	with	ADP
flr-13	289	13	an	an	DET
flr-13	289	14	initial	initial	ADJ
flr-13	289	15	learning	learning	NOUN
flr-13	289	16	rate	rate	NOUN
flr-13	289	17	of	of	ADP
flr-13	289	18	0.5	0.5	NUM
flr-13	289	19	,	,	PUNCT
flr-13	289	20	and	and	CCONJ
flr-13	289	21	momentum	momentum	NOUN
flr-13	289	22	equal	equal	ADJ
flr-13	289	23	to	to	ADP
flr-13	289	24	0.7	0.7	NUM
flr-13	289	25	.	.	PUNCT
flr-13	290	1	the	the	DET
flr-13	290	2	optimization	optimization	NOUN
flr-13	290	3	algorithm	algorithm	NOUN
flr-13	290	4	was	be	AUX
flr-13	290	5	gradient	gradient	ADJ
flr-13	290	6	descent	descent	NOUN
flr-13	290	7	,	,	PUNCT
flr-13	290	8	and	and	CCONJ
flr-13	290	9	the	the	DET
flr-13	290	10	minimum	minimum	ADJ
flr-13	290	11	relative	relative	ADJ
flr-13	290	12	change	change	NOUN
flr-13	290	13	in	in	ADP
flr-13	290	14	training	training	NOUN
flr-13	290	15	error	error	NOUN
flr-13	290	16	was	be	AUX
flr-13	290	17	0.0001	0.0001	NUM
flr-13	290	18	.	.	PUNCT
flr-13	291	1	ann3	ann3	NOUN
flr-13	291	2	(	(	PUNCT
flr-13	291	3	maximizing	maximize	VERB
flr-13	291	4	the	the	DET
flr-13	291	5	simultaneous	simultaneous	ADJ
flr-13	291	6	prediction	prediction	NOUN
flr-13	291	7	for	for	ADP
flr-13	291	8	all	all	DET
flr-13	291	9	the	the	DET
flr-13	291	10	performance	performance	NOUN
flr-13	291	11	groups	group	NOUN
flr-13	291	12	:	:	PUNCT
flr-13	291	13	low	low	ADJ
flr-13	291	14	33	33	NUM
flr-13	291	15	%	%	NOUN
flr-13	291	16	middle	middle	ADJ
flr-13	291	17	33	33	NUM
flr-13	291	18	%	%	NOUN
flr-13	291	19	high	high	ADJ
flr-13	291	20	33	33	NUM
flr-13	291	21	%	%	NOUN
flr-13	291	22	,	,	PUNCT
flr-13	291	23	simultaneously	simultaneously	ADV
flr-13	291	24	):	):	PUNCT
flr-13	291	25	all	all	PRON
flr-13	291	26	cognitive	cognitive	ADJ
flr-13	291	27	,	,	PUNCT
flr-13	291	28	learning	learn	VERB
flr-13	291	29	strategies	strategy	NOUN
flr-13	291	30	and	and	CCONJ
flr-13	291	31	background	background	NOUN
flr-13	291	32	variables	variable	NOUN
flr-13	291	33	were	be	AUX
flr-13	291	34	introduced	introduce	VERB
flr-13	291	35	in	in	ADP
flr-13	291	36	the	the	DET
flr-13	291	37	analysis	analysis	NOUN
flr-13	291	38	.	.	PUNCT
flr-13	292	1	they	they	PRON
flr-13	292	2	were	be	AUX
flr-13	292	3	used	use	VERB
flr-13	292	4	for	for	ADP
flr-13	292	5	the	the	DET
flr-13	292	6	development	development	NOUN
flr-13	292	7	of	of	ADP
flr-13	292	8	the	the	DET
flr-13	292	9	vector	vector	NOUN
flr-13	292	10	-	-	PUNCT
flr-13	292	11	matrix	matrix	NOUN
flr-13	292	12	containing	contain	VERB
flr-13	292	13	all	all	DET
flr-13	292	14	predictor	predictor	PROPN
flr-13	292	15	m.	m.	PROPN
flr-13	292	16	f.	f.	PROPN
flr-13	292	17	musso	musso	PROPN
flr-13	292	18	et	et	PROPN
flr-13	292	19	al	al	PROPN
flr-13	292	20	.	.	PROPN
flr-13	293	1	54	54	NUM
flr-13	294	1	|	|	NOUN
flr-13	294	2	f	f	NOUN
flr-13	294	3	l	l	NOUN
flr-13	294	4	r	r	NOUN
flr-13	294	5	variables	variable	NOUN
flr-13	294	6	for	for	ADP
flr-13	294	7	each	each	DET
flr-13	294	8	student	student	NOUN
flr-13	294	9	.	.	PUNCT
flr-13	295	1	the	the	DET
flr-13	295	2	resulting	result	VERB
flr-13	295	3	network	network	NOUN
flr-13	295	4	contained	contain	VERB
flr-13	295	5	all	all	DET
flr-13	295	6	the	the	DET
flr-13	295	7	input	input	NOUN
flr-13	295	8	predictors	predictor	NOUN
flr-13	295	9	,	,	PUNCT
flr-13	295	10	with	with	ADP
flr-13	295	11	a	a	DET
flr-13	295	12	total	total	NOUN
flr-13	295	13	of	of	ADP
flr-13	295	14	19	19	NUM
flr-13	295	15	input	input	NOUN
flr-13	295	16	units	unit	NOUN
flr-13	295	17	(	(	PUNCT
flr-13	295	18	reaction	reaction	NOUN
flr-13	295	19	time	time	NOUN
flr-13	295	20	operation	operation	NOUN
flr-13	295	21	,	,	PUNCT
flr-13	295	22	reaction	reaction	NOUN
flr-13	295	23	time	time	NOUN
flr-13	295	24	math	math	NOUN
flr-13	295	25	,	,	PUNCT
flr-13	295	26	reaction	reaction	NOUN
flr-13	295	27	time	time	NOUN
flr-13	295	28	problem	problem	NOUN
flr-13	295	29	,	,	PUNCT
flr-13	295	30	orienting	orient	VERB
flr-13	295	31	attention	attention	NOUN
flr-13	295	32	,	,	PUNCT
flr-13	295	33	alerting	alert	VERB
flr-13	295	34	attention	attention	NOUN
flr-13	295	35	,	,	PUNCT
flr-13	295	36	executive	executive	NOUN
flr-13	295	37	control	control	NOUN
flr-13	295	38	,	,	PUNCT
flr-13	295	39	absolute	absolute	ADJ
flr-13	295	40	aospan	aospan	NOUN
flr-13	295	41	,	,	PUNCT
flr-13	295	42	processing	processing	NOUN
flr-13	295	43	of	of	ADP
flr-13	295	44	information/	information/	NUM
flr-13	295	45	generalization	generalization	NOUN
flr-13	295	46	,	,	PUNCT
flr-13	295	47	study	study	NOUN
flr-13	295	48	techniques	technique	NOUN
flr-13	295	49	and	and	CCONJ
flr-13	295	50	use	use	NOUN
flr-13	295	51	of	of	ADP
flr-13	295	52	help	help	NOUN
flr-13	295	53	,	,	PUNCT
flr-13	295	54	anxiety	anxiety	NOUN
flr-13	295	55	management	management	NOUN
flr-13	295	56	,	,	PUNCT
flr-13	295	57	time	time	NOUN
flr-13	295	58	management	management	NOUN
flr-13	295	59	,	,	PUNCT
flr-13	295	60	cognitive	cognitive	ADJ
flr-13	295	61	resources	resource	NOUN
flr-13	295	62	/	/	SYM
flr-13	295	63	cognitive	cognitive	ADJ
flr-13	295	64	processing	processing	NOUN
flr-13	295	65	,	,	PUNCT
flr-13	295	66	gender	gender	NOUN
flr-13	295	67	,	,	PUNCT
flr-13	295	68	mother	mother	NOUN
flr-13	295	69	's	's	PART
flr-13	295	70	occupation	occupation	NOUN
flr-13	295	71	,	,	PUNCT
flr-13	295	72	father	father	NOUN
flr-13	295	73	's	's	PART
flr-13	295	74	occupation	occupation	NOUN
flr-13	295	75	,	,	PUNCT
flr-13	295	76	secondary	secondary	ADJ
flr-13	295	77	school	school	NOUN
flr-13	295	78	,	,	PUNCT
flr-13	295	79	highest	high	ADJ
flr-13	295	80	level	level	NOUN
flr-13	295	81	of	of	ADP
flr-13	295	82	education	education	NOUN
flr-13	295	83	completed	complete	VERB
flr-13	295	84	by	by	ADP
flr-13	295	85	father	father	NOUN
flr-13	295	86	,	,	PUNCT
flr-13	295	87	and	and	CCONJ
flr-13	295	88	highest	high	ADJ
flr-13	295	89	level	level	NOUN
flr-13	295	90	of	of	ADP
flr-13	295	91	education	education	NOUN
flr-13	295	92	completed	complete	VERB
flr-13	295	93	by	by	ADP
flr-13	295	94	mother	mother	NOUN
flr-13	295	95	,	,	PUNCT
flr-13	295	96	ln	ln	NOUN
flr-13	295	97	of	of	ADP
flr-13	295	98	attention	attention	NOUN
flr-13	295	99	total	total	PROPN
flr-13	295	100	rt	rt	PROPN
flr-13	295	101	)	)	PUNCT
flr-13	295	102	.	.	PUNCT
flr-13	296	1	the	the	DET
flr-13	296	2	model	model	NOUN
flr-13	296	3	built	build	VERB
flr-13	296	4	contained	contain	VERB
flr-13	296	5	one	one	NUM
flr-13	296	6	hidden	hide	VERB
flr-13	296	7	layer	layer	NOUN
flr-13	296	8	,	,	PUNCT
flr-13	296	9	with	with	ADP
flr-13	296	10	20	20	NUM
flr-13	296	11	units	unit	NOUN
flr-13	296	12	,	,	PUNCT
flr-13	296	13	and	and	CCONJ
flr-13	296	14	one	one	NUM
flr-13	296	15	output	output	NOUN
flr-13	296	16	layer	layer	NOUN
flr-13	296	17	with	with	ADP
flr-13	296	18	three	three	NUM
flr-13	296	19	units	unit	NOUN
flr-13	296	20	(	(	PUNCT
flr-13	296	21	categories	category	NOUN
flr-13	296	22	corresponding	correspond	VERB
flr-13	296	23	to	to	PART
flr-13	296	24	“	"	PUNCT
flr-13	296	25	belongs	belong	VERB
flr-13	296	26	to	to	PART
flr-13	296	27	low	low	ADJ
flr-13	296	28	33	33	NUM
flr-13	296	29	%	%	NOUN
flr-13	296	30	”	"	PUNCT
flr-13	296	31	,	,	PUNCT
flr-13	296	32	“	"	PUNCT
flr-13	296	33	belongs	belong	VERB
flr-13	296	34	to	to	ADP
flr-13	296	35	middle	middle	VERB
flr-13	296	36	33	33	NUM
flr-13	296	37	%	%	NOUN
flr-13	296	38	”	"	PUNCT
flr-13	296	39	or	or	CCONJ
flr-13	296	40	“	"	PUNCT
flr-13	296	41	belongs	belong	VERB
flr-13	296	42	to	to	ADP
flr-13	296	43	high	high	ADJ
flr-13	296	44	33	33	NUM
flr-13	296	45	%	%	NOUN
flr-13	296	46	”	"	PUNCT
flr-13	296	47	of	of	ADP
flr-13	296	48	the	the	DET
flr-13	296	49	performance	performance	NOUN
flr-13	296	50	groups	group	NOUN
flr-13	296	51	)	)	PUNCT
flr-13	296	52	.	.	PUNCT
flr-13	297	1	in	in	ADP
flr-13	297	2	terms	term	NOUN
flr-13	297	3	of	of	ADP
flr-13	297	4	the	the	DET
flr-13	297	5	architecture	architecture	NOUN
flr-13	297	6	of	of	ADP
flr-13	297	7	the	the	DET
flr-13	297	8	network	network	NOUN
flr-13	297	9	,	,	PUNCT
flr-13	297	10	a	a	DET
flr-13	297	11	standardized	standardized	ADJ
flr-13	297	12	method	method	NOUN
flr-13	297	13	for	for	ADP
flr-13	297	14	the	the	DET
flr-13	297	15	rescaling	rescaling	NOUN
flr-13	297	16	of	of	ADP
flr-13	297	17	scale	scale	NOUN
flr-13	297	18	dependent	dependent	ADJ
flr-13	297	19	variables	variable	NOUN
flr-13	297	20	was	be	AUX
flr-13	297	21	used	use	VERB
flr-13	297	22	.	.	PUNCT
flr-13	298	1	the	the	DET
flr-13	298	2	hidden	hide	VERB
flr-13	298	3	layer	layer	NOUN
flr-13	298	4	and	and	CCONJ
flr-13	298	5	the	the	DET
flr-13	298	6	output	output	NOUN
flr-13	298	7	layer	layer	NOUN
flr-13	298	8	both	both	PRON
flr-13	298	9	had	have	VERB
flr-13	298	10	a	a	DET
flr-13	298	11	hyperbolic	hyperbolic	ADJ
flr-13	298	12	tangent	tangent	NOUN
flr-13	298	13	activation	activation	NOUN
flr-13	298	14	functions	function	NOUN
flr-13	298	15	.	.	PUNCT
flr-13	299	1	a	a	DET
flr-13	299	2	standardized	standardized	ADJ
flr-13	299	3	method	method	NOUN
flr-13	299	4	for	for	ADP
flr-13	299	5	the	the	DET
flr-13	299	6	rescaling	rescaling	NOUN
flr-13	299	7	of	of	ADP
flr-13	299	8	covariates	covariate	NOUN
flr-13	299	9	was	be	AUX
flr-13	299	10	used	use	VERB
flr-13	299	11	.	.	PUNCT
flr-13	300	1	sum	sum	NOUN
flr-13	300	2	of	of	ADP
flr-13	300	3	squares	square	NOUN
flr-13	300	4	was	be	AUX
flr-13	300	5	chosen	choose	VERB
flr-13	300	6	as	as	ADP
flr-13	300	7	error	error	NOUN
flr-13	300	8	function	function	NOUN
flr-13	300	9	.	.	PUNCT
flr-13	301	1	the	the	DET
flr-13	301	2	dataset	dataset	NOUN
flr-13	301	3	was	be	AUX
flr-13	301	4	partitioned	partition	VERB
flr-13	301	5	into	into	ADP
flr-13	301	6	training	training	NOUN
flr-13	301	7	set	set	NOUN
flr-13	301	8	and	and	CCONJ
flr-13	301	9	testing	testing	NOUN
flr-13	301	10	set	set	NOUN
flr-13	301	11	.	.	PUNCT
flr-13	302	1	the	the	DET
flr-13	302	2	training	training	NOUN
flr-13	302	3	was	be	AUX
flr-13	302	4	carried	carry	VERB
flr-13	302	5	out	out	ADP
flr-13	302	6	with	with	ADP
flr-13	302	7	the	the	DET
flr-13	302	8	„	„	PUNCT
flr-13	302	9	online‟	online‟	NOUN
flr-13	302	10	methodology	methodology	NOUN
flr-13	302	11	,	,	PUNCT
flr-13	302	12	with	with	ADP
flr-13	302	13	an	an	DET
flr-13	302	14	initial	initial	ADJ
flr-13	302	15	learning	learning	NOUN
flr-13	302	16	rate	rate	NOUN
flr-13	302	17	of	of	ADP
flr-13	302	18	0.4	0.4	NUM
flr-13	302	19	,	,	PUNCT
flr-13	302	20	and	and	CCONJ
flr-13	302	21	momentum	momentum	NOUN
flr-13	302	22	equal	equal	ADJ
flr-13	302	23	to	to	ADP
flr-13	302	24	0.8	0.8	NUM
flr-13	302	25	.	.	PUNCT
flr-13	303	1	the	the	DET
flr-13	303	2	optimization	optimization	NOUN
flr-13	303	3	algorithm	algorithm	NOUN
flr-13	303	4	was	be	AUX
flr-13	303	5	gradient	gradient	ADJ
flr-13	303	6	descent	descent	NOUN
flr-13	303	7	,	,	PUNCT
flr-13	303	8	and	and	CCONJ
flr-13	303	9	the	the	DET
flr-13	303	10	minimum	minimum	ADJ
flr-13	303	11	relative	relative	ADJ
flr-13	303	12	change	change	NOUN
flr-13	303	13	in	in	ADP
flr-13	303	14	training	training	NOUN
flr-13	303	15	error	error	NOUN
flr-13	303	16	was	be	AUX
flr-13	303	17	0.0001	0.0001	NUM
flr-13	303	18	.	.	PUNCT
flr-13	304	1	the	the	DET
flr-13	304	2	software	software	NOUN
flr-13	304	3	used	use	VERB
flr-13	304	4	was	be	AUX
flr-13	304	5	spss	spss	ADJ
flr-13	304	6	v.19	v.19	SYM
flr-13	304	7	–	–	PUNCT
flr-13	304	8	neural	neural	ADJ
flr-13	304	9	network	network	NOUN
flr-13	304	10	module	module	NOUN
flr-13	304	11	,	,	PUNCT
flr-13	304	12	for	for	ADP
flr-13	304	13	the	the	DET
flr-13	304	14	development	development	NOUN
flr-13	304	15	and	and	CCONJ
flr-13	304	16	analysis	analysis	NOUN
flr-13	304	17	of	of	ADP
flr-13	304	18	all	all	DET
flr-13	304	19	predictive	predictive	ADJ
flr-13	304	20	models	model	NOUN
flr-13	304	21	in	in	ADP
flr-13	304	22	this	this	DET
flr-13	304	23	study	study	NOUN
flr-13	304	24	.	.	PUNCT
flr-13	305	1	two	two	NUM
flr-13	305	2	development	development	NOUN
flr-13	305	3	phases	phase	NOUN
flr-13	305	4	of	of	ADP
flr-13	305	5	the	the	DET
flr-13	305	6	predictive	predictive	ADJ
flr-13	305	7	system	system	NOUN
flr-13	305	8	were	be	AUX
flr-13	305	9	carried	carry	VERB
flr-13	305	10	out	out	ADP
flr-13	305	11	:	:	PUNCT
flr-13	305	12	training	training	NOUN
flr-13	305	13	of	of	ADP
flr-13	305	14	the	the	DET
flr-13	305	15	network	network	NOUN
flr-13	305	16	and	and	CCONJ
flr-13	305	17	testing	testing	NOUN
flr-13	305	18	of	of	ADP
flr-13	305	19	the	the	DET
flr-13	305	20	network	network	NOUN
flr-13	305	21	developed	develop	VERB
flr-13	305	22	.	.	PUNCT
flr-13	306	1	during	during	ADP
flr-13	306	2	the	the	DET
flr-13	306	3	training	training	NOUN
flr-13	306	4	phase	phase	NOUN
flr-13	306	5	several	several	ADJ
flr-13	306	6	models	model	NOUN
flr-13	306	7	were	be	AUX
flr-13	306	8	attempted	attempt	VERB
flr-13	306	9	,	,	PUNCT
flr-13	306	10	and	and	CCONJ
flr-13	306	11	several	several	ADJ
flr-13	306	12	modifications	modification	NOUN
flr-13	306	13	of	of	ADP
flr-13	306	14	the	the	DET
flr-13	306	15	neural	neural	ADJ
flr-13	306	16	network	network	NOUN
flr-13	306	17	parameters	parameter	NOUN
flr-13	306	18	were	be	AUX
flr-13	306	19	explored	explore	VERB
flr-13	306	20	,	,	PUNCT
flr-13	306	21	such	such	ADJ
flr-13	306	22	as	as	ADP
flr-13	306	23	:	:	PUNCT
flr-13	306	24	learning	learn	VERB
flr-13	306	25	persistence	persistence	NOUN
flr-13	306	26	,	,	PUNCT
flr-13	306	27	learning	learning	NOUN
flr-13	306	28	rate	rate	NOUN
flr-13	306	29	,	,	PUNCT
flr-13	306	30	momentum	momentum	NOUN
flr-13	306	31	,	,	PUNCT
flr-13	306	32	and	and	CCONJ
flr-13	306	33	other	other	ADJ
flr-13	306	34	criteria	criterion	NOUN
flr-13	306	35	.	.	PUNCT
flr-13	307	1	these	these	DET
flr-13	307	2	tests	test	NOUN
flr-13	307	3	continued	continue	VERB
flr-13	307	4	until	until	ADP
flr-13	307	5	achieving	achieve	VERB
flr-13	307	6	desired	desire	VERB
flr-13	307	7	levels	level	NOUN
flr-13	307	8	of	of	ADP
flr-13	307	9	classification	classification	NOUN
flr-13	307	10	,	,	PUNCT
flr-13	307	11	maximizing	maximize	VERB
flr-13	307	12	the	the	DET
flr-13	307	13	benefits	benefit	NOUN
flr-13	307	14	of	of	ADP
flr-13	307	15	the	the	DET
flr-13	307	16	model	model	NOUN
flr-13	307	17	chosen	choose	VERB
flr-13	307	18	.	.	PUNCT
flr-13	308	1	in	in	ADP
flr-13	308	2	these	these	DET
flr-13	308	3	analyses	analysis	NOUN
flr-13	308	4	both	both	CCONJ
flr-13	308	5	precision	precision	NOUN
flr-13	308	6	and	and	CCONJ
flr-13	308	7	recall	recall	NOUN
flr-13	308	8	,	,	PUNCT
flr-13	308	9	as	as	ADP
flr-13	308	10	outcome	outcome	NOUN
flr-13	308	11	measures	measure	NOUN
flr-13	308	12	of	of	ADP
flr-13	308	13	the	the	DET
flr-13	308	14	network	network	NOUN
flr-13	308	15	,	,	PUNCT
flr-13	308	16	were	be	AUX
flr-13	308	17	given	give	VERB
flr-13	308	18	equal	equal	ADJ
flr-13	308	19	weight	weight	NOUN
flr-13	308	20	.	.	PUNCT
flr-13	309	1	there	there	PRON
flr-13	309	2	was	be	VERB
flr-13	309	3	no	no	DET
flr-13	309	4	need	need	NOUN
flr-13	309	5	to	to	PART
flr-13	309	6	trim	trim	VERB
flr-13	309	7	the	the	DET
flr-13	309	8	number	number	NOUN
flr-13	309	9	of	of	ADP
flr-13	309	10	predictor	predictor	NOUN
flr-13	309	11	inputs	input	NOUN
flr-13	309	12	in	in	ADP
flr-13	309	13	the	the	DET
flr-13	309	14	three	three	NUM
flr-13	309	15	models	model	NOUN
flr-13	309	16	.	.	PUNCT
flr-13	310	1	the	the	DET
flr-13	310	2	validation	validation	NOUN
flr-13	310	3	procedure	procedure	NOUN
flr-13	310	4	used	use	VERB
flr-13	310	5	was	be	AUX
flr-13	310	6	the	the	DET
flr-13	310	7	leave	leave	VERB
flr-13	310	8	-	-	PUNCT
flr-13	310	9	one	one	NUM
flr-13	310	10	-	-	PUNCT
flr-13	310	11	out	out	ADP
flr-13	310	12	methodology	methodology	NOUN
flr-13	310	13	.	.	PUNCT
flr-13	311	1	3.5	3.5	NUM
flr-13	311	2	discriminant	discriminant	NOUN
flr-13	311	3	analyses	analyse	VERB
flr-13	311	4	discriminant	discriminant	ADJ
flr-13	311	5	analyses	analysis	NOUN
flr-13	311	6	(	(	PUNCT
flr-13	311	7	da	da	NOUN
flr-13	311	8	)	)	PUNCT
flr-13	311	9	were	be	AUX
flr-13	311	10	carried	carry	VERB
flr-13	311	11	out	out	ADP
flr-13	311	12	using	use	VERB
flr-13	311	13	the	the	DET
flr-13	311	14	same	same	ADJ
flr-13	311	15	data	datum	NOUN
flr-13	311	16	and	and	CCONJ
flr-13	311	17	the	the	DET
flr-13	311	18	same	same	ADJ
flr-13	311	19	categories	category	NOUN
flr-13	311	20	of	of	ADP
flr-13	311	21	gpa	gpa	PROPN
flr-13	311	22	used	use	VERB
flr-13	311	23	in	in	ADP
flr-13	311	24	the	the	DET
flr-13	311	25	neural	neural	ADJ
flr-13	311	26	networks	network	NOUN
flr-13	311	27	analyses	analysis	NOUN
flr-13	311	28	.	.	PUNCT
flr-13	312	1	da1	da1	PROPN
flr-13	312	2	was	be	AUX
flr-13	312	3	performed	perform	VERB
flr-13	312	4	to	to	PART
flr-13	312	5	discriminate	discriminate	VERB
flr-13	312	6	between	between	ADP
flr-13	312	7	the	the	DET
flr-13	312	8	students	student	NOUN
flr-13	312	9	belonging	belong	VERB
flr-13	312	10	to	to	ADP
flr-13	312	11	the	the	DET
flr-13	312	12	lowest	low	ADJ
flr-13	312	13	33	33	NUM
flr-13	312	14	%	%	NOUN
flr-13	312	15	of	of	ADP
flr-13	312	16	gpa	gpa	PROPN
flr-13	312	17	and	and	CCONJ
flr-13	312	18	contrasting	contrast	VERB
flr-13	312	19	them	they	PRON
flr-13	312	20	against	against	ADP
flr-13	312	21	those	those	PRON
flr-13	312	22	not	not	PART
flr-13	312	23	in	in	ADP
flr-13	312	24	that	that	DET
flr-13	312	25	category	category	NOUN
flr-13	312	26	.	.	PUNCT
flr-13	313	1	da2	da2	PROPN
flr-13	313	2	was	be	AUX
flr-13	313	3	focused	focus	VERB
flr-13	313	4	on	on	ADP
flr-13	313	5	identifying	identify	VERB
flr-13	313	6	students	student	NOUN
flr-13	313	7	in	in	ADP
flr-13	313	8	the	the	DET
flr-13	313	9	highest	high	ADJ
flr-13	313	10	33	33	NUM
flr-13	313	11	%	%	NOUN
flr-13	313	12	of	of	ADP
flr-13	313	13	academic	academic	ADJ
flr-13	313	14	performance	performance	NOUN
flr-13	313	15	versus	versus	ADP
flr-13	313	16	those	those	PRON
flr-13	313	17	not	not	PART
flr-13	313	18	in	in	ADP
flr-13	313	19	that	that	DET
flr-13	313	20	group	group	NOUN
flr-13	313	21	,	,	PUNCT
flr-13	313	22	and	and	CCONJ
flr-13	313	23	da3	da3	PROPN
flr-13	313	24	was	be	AUX
flr-13	313	25	calculated	calculate	VERB
flr-13	313	26	to	to	PART
flr-13	313	27	discriminate	discriminate	VERB
flr-13	313	28	the	the	DET
flr-13	313	29	students	student	NOUN
flr-13	313	30	belonging	belong	VERB
flr-13	313	31	to	to	ADP
flr-13	313	32	each	each	DET
flr-13	313	33	one	one	NUM
flr-13	313	34	of	of	ADP
flr-13	313	35	the	the	DET
flr-13	313	36	three	three	NUM
flr-13	313	37	levels	level	NOUN
flr-13	313	38	of	of	ADP
flr-13	313	39	gpa	gpa	PROPN
flr-13	313	40	performance	performance	NOUN
flr-13	313	41	.	.	PUNCT
flr-13	314	1	in	in	ADP
flr-13	314	2	order	order	NOUN
flr-13	314	3	to	to	PART
flr-13	314	4	give	give	VERB
flr-13	314	5	every	every	DET
flr-13	314	6	variable	variable	NOUN
flr-13	314	7	the	the	DET
flr-13	314	8	opportunity	opportunity	NOUN
flr-13	314	9	to	to	PART
flr-13	314	10	contribute	contribute	VERB
flr-13	314	11	significantly	significantly	ADV
flr-13	314	12	to	to	ADP
flr-13	314	13	the	the	DET
flr-13	314	14	prediction	prediction	NOUN
flr-13	314	15	,	,	PUNCT
flr-13	314	16	a	a	DET
flr-13	314	17	stepwise	stepwise	ADJ
flr-13	314	18	discriminant	discriminant	ADJ
flr-13	314	19	analysis	analysis	NOUN
flr-13	314	20	was	be	AUX
flr-13	314	21	calculated	calculate	VERB
flr-13	314	22	for	for	ADP
flr-13	314	23	each	each	DET
flr-13	314	24	category	category	NOUN
flr-13	314	25	including	include	VERB
flr-13	314	26	all	all	DET
flr-13	314	27	independent	independent	ADJ
flr-13	314	28	variables	variable	NOUN
flr-13	314	29	.	.	PUNCT
flr-13	315	1	in	in	ADP
flr-13	315	2	addition	addition	NOUN
flr-13	315	3	,	,	PUNCT
flr-13	315	4	we	we	PRON
flr-13	315	5	calculated	calculate	VERB
flr-13	315	6	three	three	NUM
flr-13	315	7	discriminant	discriminant	ADJ
flr-13	315	8	analyses	analysis	NOUN
flr-13	315	9	,	,	PUNCT
flr-13	315	10	one	one	NUM
flr-13	315	11	for	for	ADP
flr-13	315	12	each	each	DET
flr-13	315	13	category	category	NOUN
flr-13	315	14	including	include	VERB
flr-13	315	15	the	the	DET
flr-13	315	16	independent	independent	ADJ
flr-13	315	17	variables	variable	NOUN
flr-13	315	18	of	of	ADP
flr-13	315	19	the	the	DET
flr-13	315	20	maximised	maximised	ADJ
flr-13	315	21	neural	neural	ADJ
flr-13	315	22	networks	network	NOUN
flr-13	315	23	of	of	ADP
flr-13	315	24	each	each	DET
flr-13	315	25	category	category	NOUN
flr-13	315	26	.	.	PUNCT
flr-13	316	1	4	4	X
flr-13	316	2	.	.	NOUN
flr-13	316	3	results	result	VERB
flr-13	316	4	4.1	4.1	NUM
flr-13	316	5	descriptive	descriptive	ADJ
flr-13	316	6	data	datum	NOUN
flr-13	316	7	the	the	DET
flr-13	316	8	final	final	ADJ
flr-13	316	9	sample	sample	NOUN
flr-13	316	10	included	include	VERB
flr-13	316	11	786	786	NUM
flr-13	316	12	university	university	NOUN
flr-13	316	13	students	student	NOUN
flr-13	316	14	from	from	ADP
flr-13	316	15	several	several	ADJ
flr-13	316	16	disciplines	discipline	NOUN
flr-13	316	17	(	(	PUNCT
flr-13	316	18	psychology	psychology	NOUN
flr-13	316	19	,	,	PUNCT
flr-13	316	20	engineering	engineering	NOUN
flr-13	316	21	,	,	PUNCT
flr-13	316	22	medicine	medicine	NOUN
flr-13	316	23	,	,	PUNCT
flr-13	316	24	law	law	NOUN
flr-13	316	25	,	,	PUNCT
flr-13	316	26	social	social	ADJ
flr-13	316	27	communication	communication	NOUN
flr-13	316	28	,	,	PUNCT
flr-13	316	29	business	business	NOUN
flr-13	316	30	and	and	CCONJ
flr-13	316	31	marketing	marketing	NOUN
flr-13	316	32	)	)	PUNCT
flr-13	316	33	,	,	PUNCT
flr-13	316	34	in	in	ADP
flr-13	316	35	three	three	NUM
flr-13	316	36	private	private	ADJ
flr-13	316	37	universities	university	NOUN
flr-13	316	38	,	,	PUNCT
flr-13	316	39	during	during	ADP
flr-13	316	40	the	the	DET
flr-13	316	41	2009	2009	NUM
flr-13	316	42	-	-	SYM
flr-13	316	43	2011	2011	NUM
flr-13	316	44	academic	academic	ADJ
flr-13	316	45	years	year	NOUN
flr-13	316	46	.	.	PUNCT
flr-13	317	1	descriptive	descriptive	ADJ
flr-13	317	2	statistics	statistic	NOUN
flr-13	317	3	of	of	ADP
flr-13	317	4	the	the	DET
flr-13	317	5	cognitive	cognitive	ADJ
flr-13	317	6	variables	variable	NOUN
flr-13	317	7	and	and	CCONJ
flr-13	317	8	learning	learn	VERB
flr-13	317	9	strategies	strategy	NOUN
flr-13	317	10	are	be	AUX
flr-13	317	11	presented	present	VERB
flr-13	317	12	in	in	ADP
flr-13	317	13	table	table	NOUN
flr-13	317	14	1	1	NUM
flr-13	317	15	(	(	PUNCT
flr-13	317	16	cognitive	cognitive	ADJ
flr-13	317	17	variables	variable	NOUN
flr-13	317	18	)	)	PUNCT
flr-13	317	19	and	and	CCONJ
flr-13	317	20	table	table	NOUN
flr-13	317	21	2	2	NUM
flr-13	317	22	(	(	PUNCT
flr-13	317	23	learning	learn	VERB
flr-13	317	24	strategies	strategy	NOUN
flr-13	317	25	)	)	PUNCT
flr-13	317	26	.	.	PUNCT
flr-13	318	1	m.	m.	PROPN
flr-13	318	2	f.	f.	PROPN
flr-13	318	3	musso	musso	PROPN
flr-13	318	4	et	et	PROPN
flr-13	318	5	al	al	PROPN
flr-13	318	6	.	.	PROPN
flr-13	319	1	55	55	NUM
flr-13	320	1	|	|	NOUN
flr-13	320	2	f	f	NOUN
flr-13	320	3	l	l	NOUN
flr-13	320	4	r	r	NOUN
flr-13	320	5	table	table	NOUN
flr-13	320	6	1	1	NUM
flr-13	320	7	descriptive	descriptive	ADJ
flr-13	320	8	statistics	statistic	NOUN
flr-13	320	9	for	for	ADP
flr-13	320	10	attentional	attentional	ADJ
flr-13	320	11	networks	network	NOUN
flr-13	320	12	,	,	PUNCT
flr-13	320	13	general	general	ADJ
flr-13	320	14	reaction	reaction	NOUN
flr-13	320	15	time	time	NOUN
flr-13	320	16	,	,	PUNCT
flr-13	320	17	working	working	NOUN
flr-13	320	18	memory	memory	NOUN
flr-13	320	19	capacity	capacity	NOUN
flr-13	320	20	(	(	PUNCT
flr-13	320	21	absolute	absolute	ADJ
flr-13	320	22	aospan	aospan	NOUN
flr-13	320	23	)	)	PUNCT
flr-13	320	24	and	and	CCONJ
flr-13	320	25	reaction	reaction	NOUN
flr-13	320	26	time	time	NOUN
flr-13	320	27	operation	operation	NOUN
flr-13	320	28	alerting	alert	VERB
flr-13	320	29	attention	attention	NOUN
flr-13	320	30	orienting	orient	VERB
flr-13	320	31	attention	attention	NOUN
flr-13	320	32	executive	executive	NOUN
flr-13	320	33	control	control	NOUN
flr-13	320	34	ln	ln	ADJ
flr-13	320	35	of	of	ADP
flr-13	320	36	attention	attention	NOUN
flr-13	320	37	total	total	NOUN
flr-13	320	38	rt	rt	PROPN
flr-13	320	39	absolute	absolute	PROPN
flr-13	320	40	aospan	aospan	PROPN
flr-13	320	41	(	(	PUNCT
flr-13	320	42	sum	sum	NOUN
flr-13	320	43	of	of	ADP
flr-13	320	44	perfectly	perfectly	ADV
flr-13	320	45	recalled	recall	VERB
flr-13	320	46	sets	set	NOUN
flr-13	320	47	)	)	PUNCT
flr-13	320	48	ln	ln	PROPN
flr-13	320	49	rt	rt	PROPN
flr-13	320	50	operation	operation	NOUN
flr-13	320	51	n	n	CCONJ
flr-13	320	52	786	786	NUM
flr-13	320	53	786	786	NUM
flr-13	320	54	786	786	NUM
flr-13	320	55	786	786	NUM
flr-13	320	56	786	786	NUM
flr-13	320	57	786	786	NUM
flr-13	320	58	mean	mean	NOUN
flr-13	320	59	34.40	34.40	NUM
flr-13	320	60	44.01	44.01	NUM
flr-13	320	61	102.54	102.54	NUM
flr-13	320	62	6.20	6.20	NUM
flr-13	320	63	27.88	27.88	NUM
flr-13	320	64	7.01	7.01	NUM
flr-13	320	65	sd	sd	ADP
flr-13	320	66	22.14	22.14	NUM
flr-13	320	67	22.90	22.90	NUM
flr-13	320	68	41.68	41.68	NUM
flr-13	320	69	.11	.11	NUM
flr-13	320	70	14.83	14.83	NUM
flr-13	320	71	.20	.20	NUM
flr-13	320	72	skewness	skewness	NOUN
flr-13	320	73	.25	.25	NUM
flr-13	320	74	.24	.24	NUM
flr-13	320	75	3.31	3.31	NUM
flr-13	320	76	.67	.67	NUM
flr-13	320	77	.25	.25	NUM
flr-13	320	78	.46	.46	NUM
flr-13	320	79	kurtosis	kurtosis	NOUN
flr-13	320	80	1.96	1.96	NUM
flr-13	320	81	5.01	5.01	NUM
flr-13	320	82	26.14	26.14	NUM
flr-13	320	83	.98	.98	NUM
flr-13	320	84	-.510	-.510	PROPN
flr-13	320	85	.45	.45	NUM
flr-13	320	86	minimum	minimum	NOUN
flr-13	320	87	-78.00	-78.00	PUNCT
flr-13	320	88	-77.67	-77.67	PRON
flr-13	320	89	19.00	19.00	NUM
flr-13	320	90	5.92	5.92	NUM
flr-13	320	91	0	0	NUM
flr-13	320	92	6.50	6.50	NUM
flr-13	320	93	maximum	maximum	NOUN
flr-13	320	94	123.83	123.83	NUM
flr-13	320	95	213.83	213.83	NUM
flr-13	320	96	558.00	558.00	NUM
flr-13	320	97	6.74	6.74	NUM
flr-13	320	98	68	68	NUM
flr-13	320	99	7.75	7.75	NUM
flr-13	320	100	note	note	NOUN
flr-13	320	101	:	:	PUNCT
flr-13	320	102	ln	ln	X
flr-13	320	103	of	of	ADP
flr-13	320	104	attention	attention	NOUN
flr-13	320	105	total	total	ADJ
flr-13	320	106	rt	rt	PROPN
flr-13	320	107	:	:	PUNCT
flr-13	320	108	logarithm	logarithm	PROPN
flr-13	320	109	of	of	ADP
flr-13	320	110	attention	attention	NOUN
flr-13	320	111	total	total	NOUN
flr-13	320	112	reaction	reaction	NOUN
flr-13	320	113	time	time	NOUN
flr-13	320	114	(	(	PUNCT
flr-13	320	115	measure	measure	NOUN
flr-13	320	116	of	of	ADP
flr-13	320	117	attention	attention	NOUN
flr-13	320	118	network	network	NOUN
flr-13	320	119	test	test	NOUN
flr-13	320	120	)	)	PUNCT
flr-13	321	1	ln	ln	PROPN
flr-13	321	2	rt	rt	PROPN
flr-13	321	3	operation	operation	NOUN
flr-13	321	4	:	:	PUNCT
flr-13	321	5	logarithm	logarithm	NOUN
flr-13	321	6	of	of	ADP
flr-13	321	7	reaction	reaction	NOUN
flr-13	321	8	time	time	NOUN
flr-13	321	9	operation	operation	NOUN
flr-13	321	10	(	(	PUNCT
flr-13	321	11	measure	measure	NOUN
flr-13	321	12	of	of	ADP
flr-13	321	13	aospan	aospan	NOUN
flr-13	321	14	)	)	PUNCT
flr-13	321	15	table	table	NOUN
flr-13	321	16	2	2	NUM
flr-13	321	17	descriptive	descriptive	ADJ
flr-13	321	18	statistics	statistic	NOUN
flr-13	321	19	for	for	ADP
flr-13	321	20	each	each	DET
flr-13	321	21	factor	factor	NOUN
flr-13	321	22	of	of	ADP
flr-13	321	23	learning	learn	VERB
flr-13	321	24	strategies	strategy	NOUN
flr-13	321	25	(	(	PUNCT
flr-13	321	26	lassi	lassi	NOUN
flr-13	321	27	)	)	PUNCT
flr-13	321	28	cognitive	cognitive	ADJ
flr-13	321	29	resources	resource	NOUN
flr-13	321	30	/	/	SYM
flr-13	321	31	cog	cog	PROPN
flr-13	321	32	nitive	nitive	ADJ
flr-13	321	33	processing	processing	NOUN
flr-13	321	34	time	time	NOUN
flr-13	321	35	management	management	NOUN
flr-13	321	36	processing	processing	NOUN
flr-13	321	37	of	of	ADP
flr-13	321	38	information/	information/	NUM
flr-13	321	39	generalization	generalization	NOUN
flr-13	321	40	anxiety	anxiety	NOUN
flr-13	321	41	management	management	NOUN
flr-13	321	42	study	study	NOUN
flr-13	321	43	techniques	technique	NOUN
flr-13	321	44	and	and	CCONJ
flr-13	321	45	use	use	NOUN
flr-13	321	46	of	of	ADP
flr-13	321	47	help	help	NOUN
flr-13	321	48	n	n	PROPN
flr-13	321	49	756	756	NUM
flr-13	321	50	756	756	NUM
flr-13	321	51	756	756	NUM
flr-13	321	52	756	756	NUM
flr-13	321	53	756	756	NUM
flr-13	321	54	mean	mean	NOUN
flr-13	321	55	-.02	-.02	NUM
flr-13	321	56	.00	.00	NUM
flr-13	321	57	.01	.01	NUM
flr-13	321	58	.00	.00	NUM
flr-13	321	59	-.01	-.01	NOUN
flr-13	321	60	sd	sd	ADP
flr-13	321	61	1.09	1.09	NUM
flr-13	321	62	1.12	1.12	NUM
flr-13	321	63	1.11	1.11	NUM
flr-13	321	64	1.15	1.15	NUM
flr-13	321	65	1.14	1.14	NUM
flr-13	321	66	skewness	skewness	NOUN
flr-13	321	67	.24	.24	NUM
flr-13	321	68	.18	.18	NUM
flr-13	321	69	-.37	-.37	PROPN
flr-13	321	70	.35	.35	NUM
flr-13	321	71	-.67	-.67	PRON
flr-13	321	72	kurtosis	kurtosis	NOUN
flr-13	321	73	-.16	-.16	PUNCT
flr-13	321	74	-.21	-.21	PUNCT
flr-13	321	75	-.07	-.07	PUNCT
flr-13	321	76	-.41	-.41	PUNCT
flr-13	321	77	-.03	-.03	PUNCT
flr-13	321	78	minimum	minimum	ADJ
flr-13	321	79	-2.87	-2.87	NUM
flr-13	321	80	-2.86	-2.86	NOUN
flr-13	321	81	-4.61	-4.61	NOUN
flr-13	321	82	-2.53	-2.53	PROPN
flr-13	321	83	-4.24	-4.24	NOUN
flr-13	321	84	maximum	maximum	ADJ
flr-13	321	85	3.85	3.85	NUM
flr-13	321	86	3.30	3.30	NUM
flr-13	321	87	2.56	2.56	NUM
flr-13	321	88	3.57	3.57	NUM
flr-13	321	89	2.22	2.22	NUM
flr-13	321	90	4.2	4.2	NUM
flr-13	321	91	neural	neural	ADJ
flr-13	321	92	network	network	NOUN
flr-13	321	93	analyses	analysis	NOUN
flr-13	321	94	ann1	ann1	PROPN
flr-13	321	95	was	be	AUX
flr-13	321	96	designed	design	VERB
flr-13	321	97	to	to	PART
flr-13	321	98	predict	predict	VERB
flr-13	321	99	the	the	DET
flr-13	321	100	performance	performance	NOUN
flr-13	321	101	group	group	NOUN
flr-13	321	102	corresponding	correspond	VERB
flr-13	321	103	to	to	ADP
flr-13	321	104	the	the	DET
flr-13	321	105	lowest	low	ADJ
flr-13	321	106	33	33	NUM
flr-13	321	107	%	%	NOUN
flr-13	321	108	of	of	ADP
flr-13	321	109	predicted	predict	VERB
flr-13	321	110	gpa	gpa	PROPN
flr-13	321	111	.	.	PUNCT
flr-13	322	1	it	it	PRON
flr-13	322	2	included	include	VERB
flr-13	322	3	82.4	82.4	NUM
flr-13	322	4	%	%	NOUN
flr-13	322	5	of	of	ADP
flr-13	322	6	the	the	DET
flr-13	322	7	participants	participant	NOUN
flr-13	322	8	(	(	PUNCT
flr-13	322	9	n	n	NOUN
flr-13	322	10	=	=	SYM
flr-13	322	11	632	632	NUM
flr-13	322	12	)	)	PUNCT
flr-13	322	13	in	in	ADP
flr-13	322	14	the	the	DET
flr-13	322	15	training	training	NOUN
flr-13	322	16	phase	phase	NOUN
flr-13	322	17	and	and	CCONJ
flr-13	322	18	17.6	17.6	NUM
flr-13	322	19	%	%	NOUN
flr-13	322	20	(	(	PUNCT
flr-13	322	21	n	n	NOUN
flr-13	322	22	=	=	SYM
flr-13	322	23	111	111	NUM
flr-13	322	24	)	)	PUNCT
flr-13	322	25	in	in	ADP
flr-13	322	26	the	the	DET
flr-13	322	27	testing	testing	NOUN
flr-13	322	28	phase	phase	NOUN
flr-13	322	29	.	.	PUNCT
flr-13	323	1	after	after	ADP
flr-13	323	2	training	training	NOUN
flr-13	323	3	,	,	PUNCT
flr-13	323	4	ann1predicting	ann1predicting	PROPN
flr-13	323	5	the	the	DET
flr-13	323	6	group	group	NOUN
flr-13	323	7	with	with	ADP
flr-13	323	8	the	the	DET
flr-13	323	9	low	low	ADJ
flr-13	323	10	33	33	NUM
flr-13	323	11	%	%	NOUN
flr-13	323	12	of	of	ADP
flr-13	323	13	academic	academic	ADJ
flr-13	323	14	performance	performance	NOUN
flr-13	323	15	–	–	PUNCT
flr-13	323	16	was	be	AUX
flr-13	323	17	able	able	ADJ
flr-13	323	18	to	to	PART
flr-13	323	19	reach	reach	VERB
flr-13	323	20	100	100	NUM
flr-13	323	21	%	%	NOUN
flr-13	323	22	correct	correct	ADJ
flr-13	323	23	identification	identification	NOUN
flr-13	323	24	of	of	ADP
flr-13	323	25	the	the	DET
flr-13	323	26	students	student	NOUN
flr-13	323	27	that	that	PRON
flr-13	323	28	belong	belong	VERB
flr-13	323	29	to	to	ADP
flr-13	323	30	the	the	DET
flr-13	323	31	target	target	NOUN
flr-13	323	32	group	group	NOUN
flr-13	323	33	(	(	PUNCT
flr-13	323	34	lowest	low	ADJ
flr-13	323	35	33	33	NUM
flr-13	323	36	%	%	NOUN
flr-13	323	37	)	)	PUNCT
flr-13	323	38	(	(	PUNCT
flr-13	323	39	see	see	VERB
flr-13	323	40	figure	figure	VERB
flr-13	323	41	1).the	1).the	DET
flr-13	323	42	precision	precision	NOUN
flr-13	323	43	of	of	ADP
flr-13	323	44	ann1	ann1	PROPN
flr-13	323	45	equalled	equal	VERB
flr-13	323	46	1	1	NUM
flr-13	323	47	on	on	ADP
flr-13	323	48	a	a	DET
flr-13	323	49	maximum	maximum	NOUN
flr-13	323	50	of	of	ADP
flr-13	323	51	1	1	NUM
flr-13	323	52	.	.	PUNCT
flr-13	324	1	the	the	DET
flr-13	324	2	sensitivity	sensitivity	NOUN
flr-13	324	3	of	of	ADP
flr-13	324	4	the	the	DET
flr-13	324	5	network	network	NOUN
flr-13	324	6	equalled	equal	VERB
flr-13	324	7	1	1	NUM
flr-13	324	8	,	,	PUNCT
flr-13	324	9	and	and	CCONJ
flr-13	324	10	the	the	DET
flr-13	324	11	specificity	specificity	NOUN
flr-13	324	12	(	(	PUNCT
flr-13	324	13	defined	define	VERB
flr-13	324	14	as	as	ADP
flr-13	324	15	the	the	DET
flr-13	324	16	proportion	proportion	NOUN
flr-13	324	17	of	of	ADP
flr-13	324	18	correctly	correctly	ADV
flr-13	324	19	rejected	reject	VERB
flr-13	324	20	targets	target	NOUN
flr-13	324	21	from	from	ADP
flr-13	324	22	all	all	DET
flr-13	324	23	the	the	DET
flr-13	324	24	targets	target	NOUN
flr-13	324	25	that	that	PRON
flr-13	324	26	should	should	AUX
flr-13	324	27	have	have	AUX
flr-13	324	28	been	be	AUX
flr-13	324	29	rejected	reject	VERB
flr-13	324	30	by	by	ADP
flr-13	324	31	the	the	DET
flr-13	324	32	system	system	NOUN
flr-13	324	33	)	)	PUNCT
flr-13	324	34	was	be	AUX
flr-13	324	35	equal	equal	ADJ
flr-13	324	36	to	to	ADP
flr-13	324	37	1	1	NUM
flr-13	324	38	.	.	PUNCT
flr-13	325	1	the	the	DET
flr-13	325	2	area	area	NOUN
flr-13	325	3	under	under	ADP
flr-13	325	4	the	the	DET
flr-13	325	5	curve	curve	NOUN
flr-13	325	6	equalled	equal	VERB
flr-13	325	7	.877	.877	NUM
flr-13	325	8	.	.	PUNCT
flr-13	326	1	m.	m.	PROPN
flr-13	326	2	f.	f.	PROPN
flr-13	326	3	musso	musso	PROPN
flr-13	326	4	et	et	PROPN
flr-13	326	5	al	al	PROPN
flr-13	326	6	.	.	PROPN
flr-13	327	1	56	56	NUM
flr-13	328	1	|	|	NOUN
flr-13	328	2	f	f	NOUN
flr-13	328	3	l	l	NOUN
flr-13	328	4	r	r	NOUN
flr-13	328	5	prediction	prediction	NOUN
flr-13	328	6	of	of	ADP
flr-13	328	7	academic	academic	ADJ
flr-13	328	8	performance	performance	NOUN
flr-13	328	9	33	33	NUM
flr-13	328	10	%	%	NOUN
flr-13	328	11	lowest	low	ADJ
flr-13	328	12	(	(	PUNCT
flr-13	328	13	target	target	NOUN
flr-13	328	14	group	group	NOUN
flr-13	328	15	)	)	PUNCT
flr-13	328	16	others	other	NOUN
flr-13	328	17	observed	observe	VERB
flr-13	328	18	academic	academic	ADJ
flr-13	328	19	performance	performance	NOUN
flr-13	328	20	33	33	NUM
flr-13	328	21	%	%	NOUN
flr-13	328	22	lowest	low	ADJ
flr-13	328	23	(	(	PUNCT
flr-13	328	24	target	target	NOUN
flr-13	328	25	group	group	NOUN
flr-13	328	26	)	)	PUNCT
flr-13	328	27	100	100	NUM
flr-13	328	28	%	%	NOUN
flr-13	328	29	0	0	NUM
flr-13	328	30	%	%	NOUN
flr-13	328	31	others	other	NOUN
flr-13	328	32	0	0	NUM
flr-13	328	33	%	%	NOUN
flr-13	328	34	100	100	NUM
flr-13	328	35	%	%	NOUN
flr-13	328	36	figure	figure	NOUN
flr-13	328	37	1	1	NUM
flr-13	328	38	.	.	PUNCT
flr-13	328	39	testing	testing	NOUN
flr-13	328	40	phase	phase	NOUN
flr-13	328	41	of	of	ADP
flr-13	328	42	the	the	DET
flr-13	328	43	neural	neural	ADJ
flr-13	328	44	network	network	NOUN
flr-13	328	45	predicting	predict	VERB
flr-13	328	46	the	the	DET
flr-13	328	47	lowest	low	ADJ
flr-13	328	48	33	33	NUM
flr-13	328	49	%	%	NOUN
flr-13	328	50	of	of	ADP
flr-13	328	51	academic	academic	ADJ
flr-13	328	52	performance	performance	NOUN
flr-13	328	53	scores	score	NOUN
flr-13	328	54	.	.	PUNCT
flr-13	329	1	in	in	ADP
flr-13	329	2	general	general	ADJ
flr-13	329	3	,	,	PUNCT
flr-13	329	4	several	several	ADJ
flr-13	329	5	tables	table	NOUN
flr-13	329	6	(	(	PUNCT
flr-13	329	7	3	3	NUM
flr-13	329	8	-	-	SYM
flr-13	329	9	5	5	NUM
flr-13	329	10	)	)	PUNCT
flr-13	329	11	show	show	VERB
flr-13	329	12	the	the	DET
flr-13	329	13	actual	actual	ADJ
flr-13	329	14	predictive	predictive	ADJ
flr-13	329	15	weights	weight	NOUN
flr-13	329	16	of	of	ADP
flr-13	329	17	the	the	DET
flr-13	329	18	variables	variable	NOUN
flr-13	329	19	that	that	SCONJ
flr-13	329	20	the	the	DET
flr-13	329	21	anns	anns	NOUN
flr-13	329	22	used	use	VERB
flr-13	329	23	in	in	ADP
flr-13	329	24	the	the	DET
flr-13	329	25	prediction	prediction	NOUN
flr-13	329	26	of	of	ADP
flr-13	329	27	future	future	ADJ
flr-13	329	28	academic	academic	ADJ
flr-13	329	29	performance	performance	NOUN
flr-13	329	30	for	for	ADP
flr-13	329	31	each	each	PRON
flr-13	329	32	of	of	ADP
flr-13	329	33	the	the	DET
flr-13	329	34	groups	group	NOUN
flr-13	329	35	(	(	PUNCT
flr-13	329	36	low	low	ADJ
flr-13	329	37	33	33	NUM
flr-13	329	38	%	%	NOUN
flr-13	329	39	,	,	PUNCT
flr-13	329	40	high	high	ADJ
flr-13	329	41	33	33	NUM
flr-13	329	42	%	%	NOUN
flr-13	329	43	and	and	CCONJ
flr-13	329	44	the	the	DET
flr-13	329	45	whole	whole	ADJ
flr-13	329	46	sample	sample	NOUN
flr-13	329	47	)	)	PUNCT
flr-13	329	48	.	.	PUNCT
flr-13	330	1	the	the	DET
flr-13	330	2	“	"	PUNCT
flr-13	330	3	importance	importance	NOUN
flr-13	330	4	”	"	PUNCT
flr-13	330	5	column	column	NOUN
flr-13	330	6	can	can	AUX
flr-13	330	7	be	be	AUX
flr-13	330	8	interpreted	interpret	VERB
flr-13	330	9	as	as	ADP
flr-13	330	10	the	the	DET
flr-13	330	11	actual	actual	ADJ
flr-13	330	12	predictive	predictive	ADJ
flr-13	330	13	weight	weight	NOUN
flr-13	330	14	of	of	ADP
flr-13	330	15	each	each	DET
flr-13	330	16	variable	variable	NOUN
flr-13	330	17	,	,	PUNCT
flr-13	330	18	and	and	CCONJ
flr-13	330	19	the	the	DET
flr-13	330	20	“	"	PUNCT
flr-13	330	21	normalized	normalize	VERB
flr-13	330	22	importance	importance	NOUN
flr-13	330	23	”	"	PUNCT
flr-13	330	24	column	column	NOUN
flr-13	330	25	represents	represent	VERB
flr-13	330	26	the	the	DET
flr-13	330	27	percent	percent	NOUN
flr-13	330	28	of	of	ADP
flr-13	330	29	predictive	predictive	ADJ
flr-13	330	30	weight	weight	NOUN
flr-13	330	31	for	for	ADP
flr-13	330	32	each	each	DET
flr-13	330	33	variable	variable	NOUN
flr-13	330	34	(	(	PUNCT
flr-13	330	35	in	in	ADP
flr-13	330	36	each	each	PRON
flr-13	330	37	group‟s	group‟s	ADJ
flr-13	330	38	analysis	analysis	NOUN
flr-13	330	39	)	)	PUNCT
flr-13	330	40	with	with	ADP
flr-13	330	41	respect	respect	NOUN
flr-13	330	42	to	to	ADP
flr-13	330	43	the	the	DET
flr-13	330	44	variable	variable	NOUN
flr-13	330	45	with	with	ADP
flr-13	330	46	the	the	DET
flr-13	330	47	greatest	great	ADJ
flr-13	330	48	predictive	predictive	ADJ
flr-13	330	49	weight	weight	NOUN
flr-13	330	50	for	for	ADP
flr-13	330	51	the	the	DET
flr-13	330	52	group	group	NOUN
flr-13	330	53	in	in	ADP
flr-13	330	54	question	question	NOUN
flr-13	330	55	,	,	PUNCT
flr-13	330	56	which	which	PRON
flr-13	330	57	is	be	AUX
flr-13	330	58	assigned	assign	VERB
flr-13	330	59	a	a	DET
flr-13	330	60	100	100	NUM
flr-13	330	61	%	%	NOUN
flr-13	330	62	.	.	PUNCT
flr-13	331	1	table	table	NOUN
flr-13	331	2	6	6	NUM
flr-13	331	3	summarizes	summarize	NOUN
flr-13	331	4	the	the	DET
flr-13	331	5	actual	actual	ADJ
flr-13	331	6	predictive	predictive	ADJ
flr-13	331	7	weights	weight	NOUN
flr-13	331	8	of	of	ADP
flr-13	331	9	the	the	DET
flr-13	331	10	variables	variable	NOUN
flr-13	331	11	,	,	PUNCT
flr-13	331	12	grouped	group	VERB
flr-13	331	13	by	by	ADP
flr-13	331	14	construct	construct	NOUN
flr-13	331	15	:	:	PUNCT
flr-13	331	16	background	background	NOUN
flr-13	331	17	variables	variable	NOUN
flr-13	331	18	(	(	PUNCT
flr-13	331	19	i.e.	i.e.	X
flr-13	331	20	,	,	PUNCT
flr-13	331	21	parents‟	parents‟	ADJ
flr-13	331	22	education	education	NOUN
flr-13	331	23	,	,	PUNCT
flr-13	331	24	parents‟	parents‟	ADJ
flr-13	331	25	occupation	occupation	NOUN
flr-13	331	26	,	,	PUNCT
flr-13	331	27	type	type	NOUN
flr-13	331	28	of	of	ADP
flr-13	331	29	secondary	secondary	ADJ
flr-13	331	30	school	school	NOUN
flr-13	331	31	)	)	PUNCT
flr-13	331	32	,	,	PUNCT
flr-13	331	33	basic	basic	ADJ
flr-13	331	34	cognitive	cognitive	ADJ
flr-13	331	35	variables	variable	NOUN
flr-13	331	36	(	(	PUNCT
flr-13	331	37	i.e.	i.e.	X
flr-13	331	38	,	,	PUNCT
flr-13	331	39	working	working	NOUN
flr-13	331	40	memory	memory	NOUN
flr-13	331	41	capacity	capacity	NOUN
flr-13	331	42	,	,	PUNCT
flr-13	331	43	attentional	attentional	ADJ
flr-13	331	44	networks	network	NOUN
flr-13	331	45	)	)	PUNCT
flr-13	331	46	,	,	PUNCT
flr-13	331	47	reaction	reaction	NOUN
flr-13	331	48	time	time	NOUN
flr-13	331	49	variables	variable	NOUN
flr-13	331	50	(	(	PUNCT
flr-13	331	51	i.e.	i.e.	X
flr-13	331	52	,	,	PUNCT
flr-13	331	53	operations	operation	NOUN
flr-13	331	54	,	,	PUNCT
flr-13	331	55	attentional	attentional	ADJ
flr-13	331	56	)	)	PUNCT
flr-13	331	57	,	,	PUNCT
flr-13	331	58	and	and	CCONJ
flr-13	331	59	learning	learn	VERB
flr-13	331	60	strategies	strategy	NOUN
flr-13	331	61	/	/	SYM
flr-13	331	62	motivation	motivation	NOUN
flr-13	331	63	variables	variable	NOUN
flr-13	331	64	(	(	PUNCT
flr-13	331	65	i.e.	i.e.	X
flr-13	331	66	,	,	PUNCT
flr-13	331	67	study	study	NOUN
flr-13	331	68	techniques	technique	NOUN
flr-13	331	69	,	,	PUNCT
flr-13	331	70	time	time	NOUN
flr-13	331	71	management	management	NOUN
flr-13	331	72	,	,	PUNCT
flr-13	331	73	anxiety	anxiety	NOUN
flr-13	331	74	management	management	NOUN
flr-13	331	75	)	)	PUNCT
flr-13	331	76	.	.	PUNCT
flr-13	332	1	it	it	PRON
flr-13	332	2	allows	allow	VERB
flr-13	332	3	an	an	DET
flr-13	332	4	easier	easy	ADJ
flr-13	332	5	comparison	comparison	NOUN
flr-13	332	6	of	of	ADP
flr-13	332	7	the	the	DET
flr-13	332	8	sources	source	NOUN
flr-13	332	9	of	of	ADP
flr-13	332	10	predictive	predictive	ADJ
flr-13	332	11	weights	weight	NOUN
flr-13	332	12	by	by	ADP
flr-13	332	13	area	area	NOUN
flr-13	332	14	between	between	ADP
flr-13	332	15	the	the	DET
flr-13	332	16	various	various	ADJ
flr-13	332	17	student	student	NOUN
flr-13	332	18	groups	group	NOUN
flr-13	332	19	and	and	CCONJ
flr-13	332	20	also	also	ADV
flr-13	332	21	for	for	ADP
flr-13	332	22	the	the	DET
flr-13	332	23	total	total	ADJ
flr-13	332	24	sample	sample	NOUN
flr-13	332	25	.	.	PUNCT
flr-13	333	1	table	table	NOUN
flr-13	333	2	3	3	NUM
flr-13	333	3	shows	show	VERB
flr-13	333	4	the	the	DET
flr-13	333	5	actual	actual	ADJ
flr-13	333	6	predictive	predictive	ADJ
flr-13	333	7	weight	weight	NOUN
flr-13	333	8	of	of	ADP
flr-13	333	9	each	each	DET
flr-13	333	10	input	input	NOUN
flr-13	333	11	,	,	PUNCT
flr-13	333	12	and	and	CCONJ
flr-13	333	13	the	the	DET
flr-13	333	14	normalised	normalise	VERB
flr-13	333	15	importance	importance	NOUN
flr-13	333	16	of	of	ADP
flr-13	333	17	the	the	DET
flr-13	333	18	different	different	ADJ
flr-13	333	19	variables	variable	NOUN
flr-13	333	20	for	for	ADP
flr-13	333	21	the	the	DET
flr-13	333	22	ann1	ann1	PROPN
flr-13	333	23	predictive	predictive	ADJ
flr-13	333	24	classification	classification	NOUN
flr-13	333	25	.	.	PUNCT
flr-13	334	1	these	these	DET
flr-13	334	2	results	result	NOUN
flr-13	334	3	indicate	indicate	VERB
flr-13	334	4	that	that	SCONJ
flr-13	334	5	the	the	DET
flr-13	334	6	learning	learning	NOUN
flr-13	334	7	strategies	strategy	NOUN
flr-13	334	8	regarding	regard	VERB
flr-13	334	9	cognitive	cognitive	ADJ
flr-13	334	10	processes	process	NOUN
flr-13	334	11	,	,	PUNCT
flr-13	334	12	reaction	reaction	NOUN
flr-13	334	13	time	time	NOUN
flr-13	334	14	(	(	PUNCT
flr-13	334	15	rt	rt	NOUN
flr-13	334	16	)	)	PUNCT
flr-13	334	17	,	,	PUNCT
flr-13	334	18	and	and	CCONJ
flr-13	334	19	time	time	NOUN
flr-13	334	20	management	management	NOUN
flr-13	334	21	were	be	AUX
flr-13	334	22	the	the	DET
flr-13	334	23	most	most	ADV
flr-13	334	24	important	important	ADJ
flr-13	334	25	predictors	predictor	NOUN
flr-13	334	26	.	.	PUNCT
flr-13	335	1	all	all	DET
flr-13	335	2	reaction	reaction	NOUN
flr-13	335	3	times	time	NOUN
flr-13	335	4	are	be	AUX
flr-13	335	5	converted	convert	VERB
flr-13	335	6	to	to	ADP
flr-13	335	7	natural	natural	ADJ
flr-13	335	8	logarithms	logarithm	NOUN
flr-13	335	9	(	(	PUNCT
flr-13	335	10	ln	ln	NOUN
flr-13	335	11	)	)	PUNCT
flr-13	335	12	of	of	ADP
flr-13	335	13	the	the	DET
flr-13	335	14	actual	actual	ADJ
flr-13	335	15	rt	rt	PROPN
flr-13	335	16	.	.	PROPN
flr-13	335	17	table	table	NOUN
flr-13	335	18	3	3	NUM
flr-13	335	19	relative	relative	ADJ
flr-13	335	20	importance	importance	NOUN
flr-13	335	21	of	of	ADP
flr-13	335	22	the	the	DET
flr-13	335	23	most	most	ADV
flr-13	335	24	predictive	predictive	ADJ
flr-13	335	25	variables	variable	NOUN
flr-13	335	26	included	include	VERB
flr-13	335	27	in	in	ADP
flr-13	335	28	the	the	DET
flr-13	335	29	model	model	NOUN
flr-13	335	30	for	for	ADP
flr-13	335	31	the	the	DET
flr-13	335	32	predictive	predictive	ADJ
flr-13	335	33	classification	classification	NOUN
flr-13	335	34	of	of	ADP
flr-13	335	35	the	the	DET
flr-13	335	36	lowest	low	ADJ
flr-13	335	37	33	33	NUM
flr-13	335	38	%	%	NOUN
flr-13	335	39	of	of	ADP
flr-13	335	40	scores	score	NOUN
flr-13	335	41	in	in	ADP
flr-13	335	42	academic	academic	ADJ
flr-13	335	43	performance	performance	NOUN
flr-13	335	44	low	low	ADJ
flr-13	335	45	33	33	NUM
flr-13	335	46	%	%	NOUN
flr-13	335	47	group	group	NOUN
flr-13	335	48	independent	independent	ADJ
flr-13	335	49	variable	variable	ADJ
flr-13	335	50	importance	importance	NOUN
flr-13	335	51	variables	variable	VERB
flr-13	335	52	importance	importance	NOUN
flr-13	335	53	normalized	normalize	VERB
flr-13	335	54	importance	importance	NOUN
flr-13	335	55	cognitive	cognitive	ADJ
flr-13	335	56	resources	resource	NOUN
flr-13	335	57	/	/	SYM
flr-13	335	58	cognitive	cognitive	ADJ
flr-13	335	59	processing	processing	NOUN
flr-13	335	60	0.092	0.092	NUM
flr-13	335	61	100.00	100.00	NUM
flr-13	335	62	%	%	NOUN
flr-13	335	63	ln	ln	ADJ
flr-13	335	64	reaction	reaction	NOUN
flr-13	335	65	time	time	PROPN
flr-13	335	66	math	math	PROPN
flr-13	335	67	0.083	0.083	NUM
flr-13	335	68	90.80	90.80	NUM
flr-13	335	69	%	%	NOUN
flr-13	335	70	time	time	NOUN
flr-13	335	71	management	management	NOUN
flr-13	335	72	0.080	0.080	NUM
flr-13	335	73	87.30	87.30	NUM
flr-13	335	74	%	%	NOUN
flr-13	335	75	secondary	secondary	ADJ
flr-13	335	76	school	school	NOUN
flr-13	335	77	from	from	ADP
flr-13	335	78	which	which	PRON
flr-13	335	79	the	the	DET
flr-13	335	80	student	student	NOUN
flr-13	335	81	graduated	graduate	VERB
flr-13	335	82	0.066	0.066	NUM
flr-13	335	83	71.50	71.50	NUM
flr-13	335	84	%	%	NOUN
flr-13	335	85	father	father	NOUN
flr-13	335	86	's	's	PART
flr-13	335	87	occupation	occupation	NOUN
flr-13	335	88	0.065	0.065	NUM
flr-13	335	89	70.90	70.90	NUM
flr-13	335	90	%	%	NOUN
flr-13	335	91	executive	executive	NOUN
flr-13	335	92	control	control	NOUN
flr-13	335	93	0.062	0.062	NUM
flr-13	335	94	67.60	67.60	NUM
flr-13	335	95	%	%	NOUN
flr-13	335	96	mother	mother	NOUN
flr-13	335	97	's	's	PART
flr-13	335	98	occupation	occupation	NOUN
flr-13	335	99	0.058	0.058	NUM
flr-13	335	100	63.70	63.70	NUM
flr-13	335	101	%	%	NOUN
flr-13	335	102	ln	ln	ADJ
flr-13	335	103	reaction	reaction	NOUN
flr-13	335	104	time	time	NOUN
flr-13	335	105	problem	problem	NOUN
flr-13	335	106	0.058	0.058	NUM
flr-13	335	107	62.80	62.80	NUM
flr-13	335	108	%	%	NOUN
flr-13	335	109	m.	m.	NOUN
flr-13	335	110	f.	f.	PROPN
flr-13	335	111	musso	musso	PROPN
flr-13	335	112	et	et	PROPN
flr-13	335	113	al	al	PROPN
flr-13	335	114	.	.	PROPN
flr-13	336	1	57	57	NUM
flr-13	337	1	|	|	CCONJ
flr-13	337	2	f	f	NOUN
flr-13	337	3	l	l	NOUN
flr-13	337	4	r	r	NOUN
flr-13	337	5	absolute	absolute	ADJ
flr-13	337	6	aospan	aospan	NOUN
flr-13	337	7	(	(	PUNCT
flr-13	337	8	sum	sum	NOUN
flr-13	337	9	of	of	ADP
flr-13	337	10	perfectly	perfectly	ADV
flr-13	337	11	recalled	recall	VERB
flr-13	337	12	sets	set	NOUN
flr-13	337	13	)	)	PUNCT
flr-13	337	14	0.055	0.055	NUM
flr-13	337	15	60.50	60.50	NUM
flr-13	337	16	%	%	NOUN
flr-13	337	17	anxiety	anxiety	NOUN
flr-13	337	18	management	management	NOUN
flr-13	337	19	0.051	0.051	NUM
flr-13	337	20	55.40	55.40	NUM
flr-13	337	21	%	%	NOUN
flr-13	337	22	alerting	alert	VERB
flr-13	337	23	attention	attention	NOUN
flr-13	337	24	0.050	0.050	NUM
flr-13	337	25	54.40	54.40	NUM
flr-13	337	26	%	%	NOUN
flr-13	337	27	ln	ln	ADJ
flr-13	337	28	reaction	reaction	NOUN
flr-13	337	29	time	time	PROPN
flr-13	337	30	operation	operation	NOUN
flr-13	337	31	0.048	0.048	NUM
flr-13	337	32	52.40	52.40	NUM
flr-13	337	33	%	%	NOUN
flr-13	337	34	orienting	orient	VERB
flr-13	337	35	attention	attention	NOUN
flr-13	337	36	0.048	0.048	NUM
flr-13	337	37	52.10	52.10	NUM
flr-13	337	38	%	%	NOUN
flr-13	337	39	study	study	NOUN
flr-13	337	40	techniques	technique	NOUN
flr-13	337	41	and	and	CCONJ
flr-13	337	42	use	use	NOUN
flr-13	337	43	of	of	ADP
flr-13	337	44	help	help	NOUN
flr-13	337	45	0.046	0.046	NUM
flr-13	337	46	51.70	51.70	NUM
flr-13	337	47	%	%	NOUN
flr-13	337	48	processing	processing	NOUN
flr-13	337	49	of	of	ADP
flr-13	337	50	information/	information/	NUM
flr-13	337	51	generalization	generalization	NOUN
flr-13	337	52	0.043	0.043	NUM
flr-13	337	53	46.50	46.50	NUM
flr-13	337	54	%	%	NOUN
flr-13	337	55	gender	gender	NOUN
flr-13	337	56	0.040	0.040	NUM
flr-13	337	57	43.70	43.70	NUM
flr-13	337	58	%	%	NOUN
flr-13	337	59	highest	high	ADJ
flr-13	337	60	level	level	NOUN
flr-13	337	61	of	of	ADP
flr-13	337	62	education	education	NOUN
flr-13	337	63	completed	complete	VERB
flr-13	337	64	by	by	ADP
flr-13	337	65	mother	mother	NOUN
flr-13	337	66	0.030	0.030	NUM
flr-13	337	67	32.60	32.60	NUM
flr-13	337	68	%	%	NOUN
flr-13	337	69	highest	high	ADJ
flr-13	337	70	level	level	NOUN
flr-13	337	71	of	of	ADP
flr-13	337	72	education	education	NOUN
flr-13	337	73	completed	complete	VERB
flr-13	337	74	by	by	ADP
flr-13	337	75	father	father	NOUN
flr-13	337	76	0.025	0.025	NUM
flr-13	337	77	27.10	27.10	NUM
flr-13	337	78	%	%	NOUN
flr-13	337	79	ann2	ann2	NOUN
flr-13	337	80	was	be	AUX
flr-13	337	81	designed	design	VERB
flr-13	337	82	to	to	PART
flr-13	337	83	predict	predict	VERB
flr-13	337	84	the	the	DET
flr-13	337	85	performance	performance	NOUN
flr-13	337	86	group	group	NOUN
flr-13	337	87	corresponding	correspond	VERB
flr-13	337	88	to	to	ADP
flr-13	337	89	the	the	DET
flr-13	337	90	highest	high	ADJ
flr-13	337	91	33	33	NUM
flr-13	337	92	%	%	NOUN
flr-13	337	93	predicted	predict	VERB
flr-13	337	94	gpa	gpa	NOUN
flr-13	337	95	.	.	PUNCT
flr-13	338	1	it	it	PRON
flr-13	338	2	included	include	VERB
flr-13	338	3	77.9	77.9	NUM
flr-13	338	4	%	%	NOUN
flr-13	338	5	of	of	ADP
flr-13	338	6	the	the	DET
flr-13	338	7	students	student	NOUN
flr-13	338	8	in	in	ADP
flr-13	338	9	the	the	DET
flr-13	338	10	training	training	NOUN
flr-13	338	11	phase	phase	NOUN
flr-13	338	12	(	(	PUNCT
flr-13	338	13	n=	n=	ADJ
flr-13	338	14	614	614	NUM
flr-13	338	15	)	)	PUNCT
flr-13	338	16	and	and	CCONJ
flr-13	338	17	22.1	22.1	NUM
flr-13	338	18	%	%	NOUN
flr-13	338	19	in	in	ADP
flr-13	338	20	the	the	DET
flr-13	338	21	testing	testing	NOUN
flr-13	338	22	phase	phase	NOUN
flr-13	338	23	(	(	PUNCT
flr-13	338	24	n=	n=	ADJ
flr-13	338	25	136	136	NUM
flr-13	338	26	)	)	PUNCT
flr-13	338	27	.	.	PUNCT
flr-13	339	1	after	after	ADP
flr-13	339	2	training	training	NOUN
flr-13	339	3	,	,	PUNCT
flr-13	339	4	ann2	ann2	PROPN
flr-13	339	5	reached	reach	VERB
flr-13	339	6	an	an	DET
flr-13	339	7	accuracy	accuracy	NOUN
flr-13	339	8	of	of	ADP
flr-13	339	9	100	100	NUM
flr-13	339	10	%	%	NOUN
flr-13	339	11	(	(	PUNCT
flr-13	339	12	see	see	VERB
flr-13	339	13	figure	figure	NOUN
flr-13	339	14	2	2	NUM
flr-13	339	15	)	)	PUNCT
flr-13	339	16	.	.	PUNCT
flr-13	340	1	the	the	DET
flr-13	340	2	precision	precision	NOUN
flr-13	340	3	of	of	ADP
flr-13	340	4	ann2	ann2	NOUN
flr-13	340	5	equalled	equal	VERB
flr-13	340	6	1	1	NUM
flr-13	340	7	on	on	ADP
flr-13	340	8	a	a	DET
flr-13	340	9	maximum	maximum	NOUN
flr-13	340	10	of	of	ADP
flr-13	340	11	1	1	NUM
flr-13	340	12	.	.	PUNCT
flr-13	341	1	the	the	DET
flr-13	341	2	sensitivity	sensitivity	NOUN
flr-13	341	3	of	of	ADP
flr-13	341	4	the	the	DET
flr-13	341	5	network	network	NOUN
flr-13	341	6	equalled	equal	VERB
flr-13	341	7	1	1	NUM
flr-13	341	8	,	,	PUNCT
flr-13	341	9	and	and	CCONJ
flr-13	341	10	the	the	DET
flr-13	341	11	specificity	specificity	NOUN
flr-13	341	12	amounted	amount	VERB
flr-13	341	13	to	to	ADP
flr-13	341	14	1	1	NUM
flr-13	341	15	.	.	PUNCT
flr-13	342	1	the	the	DET
flr-13	342	2	area	area	NOUN
flr-13	342	3	under	under	ADP
flr-13	342	4	the	the	DET
flr-13	342	5	curve	curve	NOUN
flr-13	342	6	equalled	equal	VERB
flr-13	342	7	.788	.788	NUM
flr-13	342	8	.	.	PUNCT
flr-13	343	1	prediction	prediction	NOUN
flr-13	343	2	of	of	ADP
flr-13	343	3	academic	academic	ADJ
flr-13	343	4	performance	performance	NOUN
flr-13	343	5	33	33	NUM
flr-13	343	6	%	%	NOUN
flr-13	343	7	highest	high	ADJ
flr-13	343	8	(	(	PUNCT
flr-13	343	9	target	target	NOUN
flr-13	343	10	group	group	NOUN
flr-13	343	11	)	)	PUNCT
flr-13	343	12	others	other	NOUN
flr-13	343	13	observed	observe	VERB
flr-13	343	14	academic	academic	ADJ
flr-13	343	15	performance	performance	NOUN
flr-13	343	16	33	33	NUM
flr-13	343	17	%	%	NOUN
flr-13	343	18	highest	high	ADJ
flr-13	343	19	(	(	PUNCT
flr-13	343	20	target	target	NOUN
flr-13	343	21	group	group	NOUN
flr-13	343	22	)	)	PUNCT
flr-13	343	23	100	100	NUM
flr-13	343	24	%	%	NOUN
flr-13	343	25	0	0	NUM
flr-13	343	26	%	%	NOUN
flr-13	343	27	others	other	NOUN
flr-13	343	28	0	0	NUM
flr-13	343	29	%	%	NOUN
flr-13	343	30	100	100	NUM
flr-13	343	31	%	%	NOUN
flr-13	343	32	figure	figure	NOUN
flr-13	343	33	2	2	NUM
flr-13	343	34	.	.	PUNCT
flr-13	343	35	testing	testing	NOUN
flr-13	343	36	phase	phase	NOUN
flr-13	343	37	of	of	ADP
flr-13	343	38	the	the	DET
flr-13	343	39	neural	neural	ADJ
flr-13	343	40	network	network	NOUN
flr-13	343	41	predicting	predict	VERB
flr-13	343	42	the	the	DET
flr-13	343	43	highest	high	ADJ
flr-13	343	44	33	33	NUM
flr-13	343	45	%	%	NOUN
flr-13	343	46	of	of	ADP
flr-13	343	47	academic	academic	ADJ
flr-13	343	48	performance	performance	NOUN
flr-13	343	49	scores	score	NOUN
flr-13	343	50	.	.	PUNCT
flr-13	344	1	the	the	DET
flr-13	344	2	most	most	ADV
flr-13	344	3	important	important	ADJ
flr-13	344	4	variables	variable	NOUN
flr-13	344	5	for	for	ADP
flr-13	344	6	the	the	DET
flr-13	344	7	prediction	prediction	NOUN
flr-13	344	8	of	of	ADP
flr-13	344	9	ann2	ann2	NOUN
flr-13	344	10	(	(	PUNCT
flr-13	344	11	high	high	ADJ
flr-13	344	12	33	33	NUM
flr-13	344	13	%	%	NOUN
flr-13	344	14	)	)	PUNCT
flr-13	344	15	were	be	AUX
flr-13	344	16	reaction	reaction	NOUN
flr-13	344	17	time	time	NOUN
flr-13	344	18	,	,	PUNCT
flr-13	344	19	mother‟s	mother‟s	NOUN
flr-13	344	20	occupation	occupation	NOUN
flr-13	344	21	,	,	PUNCT
flr-13	344	22	type	type	NOUN
flr-13	344	23	of	of	ADP
flr-13	344	24	secondary	secondary	ADJ
flr-13	344	25	school	school	NOUN
flr-13	344	26	,	,	PUNCT
flr-13	344	27	father‟s	father‟s	NOUN
flr-13	344	28	occupation	occupation	NOUN
flr-13	344	29	and	and	CCONJ
flr-13	344	30	executive	executive	ADJ
flr-13	344	31	control	control	NOUN
flr-13	344	32	(	(	PUNCT
flr-13	344	33	executive	executive	ADJ
flr-13	344	34	attention	attention	NOUN
flr-13	344	35	measure	measure	NOUN
flr-13	344	36	)	)	PUNCT
flr-13	344	37	(	(	PUNCT
flr-13	344	38	see	see	VERB
flr-13	344	39	table	table	NOUN
flr-13	344	40	4	4	NUM
flr-13	344	41	)	)	PUNCT
flr-13	344	42	.	.	PUNCT
flr-13	345	1	m.	m.	PROPN
flr-13	345	2	f.	f.	PROPN
flr-13	345	3	musso	musso	PROPN
flr-13	345	4	et	et	PROPN
flr-13	345	5	al	al	PROPN
flr-13	345	6	.	.	PROPN
flr-13	346	1	58	58	NUM
flr-13	347	1	|	|	ADV
flr-13	347	2	f	f	NOUN
flr-13	347	3	l	l	NOUN
flr-13	347	4	r	r	NOUN
flr-13	347	5	table	table	NOUN
flr-13	347	6	4	4	NUM
flr-13	347	7	relative	relative	ADJ
flr-13	347	8	importance	importance	NOUN
flr-13	347	9	of	of	ADP
flr-13	347	10	the	the	DET
flr-13	347	11	most	most	ADV
flr-13	347	12	predictive	predictive	ADJ
flr-13	347	13	variables	variable	NOUN
flr-13	347	14	included	include	VERB
flr-13	347	15	in	in	ADP
flr-13	347	16	the	the	DET
flr-13	347	17	model	model	NOUN
flr-13	347	18	for	for	ADP
flr-13	347	19	the	the	DET
flr-13	347	20	predictive	predictive	ADJ
flr-13	347	21	classification	classification	NOUN
flr-13	347	22	of	of	ADP
flr-13	347	23	the	the	DET
flr-13	347	24	highest	high	ADJ
flr-13	347	25	33	33	NUM
flr-13	347	26	%	%	NOUN
flr-13	347	27	of	of	ADP
flr-13	347	28	scores	score	NOUN
flr-13	347	29	in	in	ADP
flr-13	347	30	academic	academic	ADJ
flr-13	347	31	performance	performance	NOUN
flr-13	347	32	high	high	ADJ
flr-13	347	33	33	33	NUM
flr-13	347	34	%	%	NOUN
flr-13	347	35	group	group	NOUN
flr-13	347	36	independent	independent	ADJ
flr-13	347	37	variable	variable	ADJ
flr-13	347	38	importance	importance	NOUN
flr-13	347	39	variables	variable	VERB
flr-13	347	40	importance	importance	NOUN
flr-13	347	41	normalized	normalize	VERB
flr-13	347	42	importance	importance	NOUN
flr-13	347	43	ln	ln	ADJ
flr-13	347	44	of	of	ADP
flr-13	347	45	reaction	reaction	NOUN
flr-13	347	46	time	time	NOUN
flr-13	347	47	operation	operation	NOUN
flr-13	347	48	0.084	0.084	NUM
flr-13	347	49	100.00	100.00	NUM
flr-13	347	50	%	%	NOUN
flr-13	347	51	mother	mother	NOUN
flr-13	347	52	's	's	PART
flr-13	347	53	occupation	occupation	NOUN
flr-13	347	54	0.081	0.081	NUM
flr-13	347	55	97.10	97.10	NUM
flr-13	347	56	%	%	NOUN
flr-13	347	57	secondary	secondary	ADJ
flr-13	347	58	school	school	NOUN
flr-13	347	59	from	from	ADP
flr-13	347	60	which	which	PRON
flr-13	347	61	the	the	DET
flr-13	347	62	student	student	NOUN
flr-13	347	63	graduated	graduate	VERB
flr-13	347	64	0.081	0.081	NUM
flr-13	347	65	96.10	96.10	NUM
flr-13	347	66	%	%	NOUN
flr-13	347	67	father	father	NOUN
flr-13	347	68	's	's	PART
flr-13	347	69	occupation	occupation	NOUN
flr-13	347	70	0.076	0.076	NUM
flr-13	347	71	90.10	90.10	NUM
flr-13	347	72	%	%	NOUN
flr-13	347	73	executive	executive	ADJ
flr-13	347	74	control	control	NOUN
flr-13	347	75	0.072	0.072	NUM
flr-13	347	76	86.40	86.40	NUM
flr-13	347	77	%	%	NOUN
flr-13	347	78	alerting	alert	VERB
flr-13	347	79	attention	attention	NOUN
flr-13	347	80	0.062	0.062	NUM
flr-13	347	81	73.90	73.90	NUM
flr-13	347	82	%	%	NOUN
flr-13	347	83	processing	processing	NOUN
flr-13	347	84	of	of	ADP
flr-13	347	85	information/	information/	NUM
flr-13	347	86	generalization	generalization	NOUN
flr-13	347	87	0.055	0.055	NUM
flr-13	347	88	65.10	65.10	NUM
flr-13	347	89	%	%	NOUN
flr-13	347	90	orienting	orient	VERB
flr-13	347	91	attention	attention	NOUN
flr-13	347	92	0.054	0.054	NUM
flr-13	347	93	64.10	64.10	NUM
flr-13	347	94	%	%	NOUN
flr-13	347	95	study	study	NOUN
flr-13	347	96	techniques	technique	NOUN
flr-13	347	97	and	and	CCONJ
flr-13	347	98	use	use	NOUN
flr-13	347	99	of	of	ADP
flr-13	347	100	help	help	NOUN
flr-13	347	101	0.053	0.053	NUM
flr-13	347	102	62.30	62.30	NUM
flr-13	347	103	%	%	NOUN
flr-13	347	104	highest	high	ADJ
flr-13	347	105	level	level	NOUN
flr-13	347	106	of	of	ADP
flr-13	347	107	education	education	NOUN
flr-13	347	108	completed	complete	VERB
flr-13	347	109	by	by	ADP
flr-13	347	110	father	father	PROPN
flr-13	347	111	0.051	0.051	NUM
flr-13	347	112	60.70	60.70	NUM
flr-13	347	113	%	%	NOUN
flr-13	347	114	ln	ln	NOUN
flr-13	347	115	of	of	ADP
flr-13	347	116	reaction	reaction	NOUN
flr-13	347	117	time	time	NOUN
flr-13	347	118	math	math	NOUN
flr-13	347	119	0.049	0.049	NUM
flr-13	347	120	58.50	58.50	NUM
flr-13	347	121	%	%	NOUN
flr-13	347	122	anxiety	anxiety	NOUN
flr-13	347	123	management	management	NOUN
flr-13	347	124	0.047	0.047	NUM
flr-13	347	125	55.60	55.60	NUM
flr-13	347	126	%	%	NOUN
flr-13	347	127	highest	high	ADJ
flr-13	347	128	level	level	NOUN
flr-13	347	129	of	of	ADP
flr-13	347	130	education	education	NOUN
flr-13	347	131	completed	complete	VERB
flr-13	347	132	by	by	ADP
flr-13	347	133	mother	mother	NOUN
flr-13	347	134	0.044	0.044	NUM
flr-13	347	135	52.80	52.80	NUM
flr-13	347	136	%	%	NOUN
flr-13	347	137	absolute	absolute	ADJ
flr-13	347	138	aospan	aospan	NOUN
flr-13	347	139	(	(	PUNCT
flr-13	347	140	sum	sum	NOUN
flr-13	347	141	of	of	ADP
flr-13	347	142	perfectly	perfectly	ADV
flr-13	347	143	recalled	recall	VERB
flr-13	347	144	sets	set	NOUN
flr-13	347	145	)	)	PUNCT
flr-13	347	146	0.044	0.044	NUM
flr-13	347	147	52.70	52.70	NUM
flr-13	347	148	%	%	NOUN
flr-13	347	149	time	time	NOUN
flr-13	347	150	management	management	NOUN
flr-13	347	151	0.044	0.044	NUM
flr-13	347	152	52.20	52.20	NUM
flr-13	347	153	%	%	NOUN
flr-13	347	154	cognitive	cognitive	ADJ
flr-13	347	155	resources	resource	NOUN
flr-13	347	156	/	/	SYM
flr-13	347	157	cognitive	cognitive	ADJ
flr-13	347	158	processing	processing	NOUN
flr-13	347	159	0.037	0.037	NUM
flr-13	347	160	44.70	44.70	NUM
flr-13	347	161	%	%	NOUN
flr-13	347	162	ln	ln	NOUN
flr-13	347	163	of	of	ADP
flr-13	347	164	reaction	reaction	NOUN
flr-13	347	165	time	time	NOUN
flr-13	347	166	problem	problem	NOUN
flr-13	347	167	0.033	0.033	NUM
flr-13	347	168	39.90	39.90	NUM
flr-13	347	169	%	%	NOUN
flr-13	347	170	gender	gender	NOUN
flr-13	347	171	0.033	0.033	NUM
flr-13	347	172	39.60	39.60	NUM
flr-13	347	173	%	%	NOUN
flr-13	347	174	both	both	DET
flr-13	347	175	networks	network	NOUN
flr-13	347	176	showed	show	VERB
flr-13	347	177	interesting	interesting	ADJ
flr-13	347	178	differences	difference	NOUN
flr-13	347	179	in	in	ADP
flr-13	347	180	the	the	DET
flr-13	347	181	pattern	pattern	NOUN
flr-13	347	182	of	of	ADP
flr-13	347	183	relative	relative	ADJ
flr-13	347	184	normalized	normalize	VERB
flr-13	347	185	importance	importance	NOUN
flr-13	347	186	of	of	ADP
flr-13	347	187	those	those	DET
flr-13	347	188	variables	variable	NOUN
flr-13	347	189	with	with	ADP
flr-13	347	190	the	the	DET
flr-13	347	191	highest	high	ADJ
flr-13	347	192	participation	participation	NOUN
flr-13	347	193	in	in	ADP
flr-13	347	194	the	the	DET
flr-13	347	195	predictive	predictive	ADJ
flr-13	347	196	model	model	NOUN
flr-13	347	197	.	.	PUNCT
flr-13	348	1	for	for	ADP
flr-13	348	2	the	the	DET
flr-13	348	3	low	low	ADJ
flr-13	348	4	performing	perform	VERB
flr-13	348	5	group	group	NOUN
flr-13	348	6	in	in	ADP
flr-13	348	7	terms	term	NOUN
flr-13	348	8	of	of	ADP
flr-13	348	9	general	general	ADJ
flr-13	348	10	gpa	gpa	PROPN
flr-13	348	11	(	(	PUNCT
flr-13	348	12	those	those	PRON
flr-13	348	13	predicted	predict	VERB
flr-13	348	14	to	to	PART
flr-13	348	15	be	be	AUX
flr-13	348	16	in	in	ADP
flr-13	348	17	the	the	DET
flr-13	348	18	lowest	low	ADJ
flr-13	348	19	33	33	NUM
flr-13	348	20	%	%	NOUN
flr-13	348	21	of	of	ADP
flr-13	348	22	scores	score	NOUN
flr-13	348	23	)	)	PUNCT
flr-13	348	24	,	,	PUNCT
flr-13	348	25	several	several	ADJ
flr-13	348	26	learning	learning	NOUN
flr-13	348	27	strategies	strategy	NOUN
flr-13	348	28	related	relate	VERB
flr-13	348	29	to	to	ADP
flr-13	348	30	cognitive	cognitive	ADJ
flr-13	348	31	processes	process	NOUN
flr-13	348	32	,	,	PUNCT
flr-13	348	33	reaction	reaction	NOUN
flr-13	348	34	time	time	NOUN
flr-13	348	35	(	(	PUNCT
flr-13	348	36	wmc	wmc	PROPN
flr-13	348	37	and	and	CCONJ
flr-13	348	38	attentional	attentional	ADJ
flr-13	348	39	networks	network	NOUN
flr-13	348	40	functioning	function	VERB
flr-13	348	41	)	)	PUNCT
flr-13	348	42	,	,	PUNCT
flr-13	348	43	and	and	CCONJ
flr-13	348	44	time	time	NOUN
flr-13	348	45	management	management	NOUN
flr-13	348	46	were	be	AUX
flr-13	348	47	most	most	ADV
flr-13	348	48	important	important	ADJ
flr-13	348	49	in	in	ADP
flr-13	348	50	providing	provide	VERB
flr-13	348	51	predictive	predictive	ADJ
flr-13	348	52	weights	weight	NOUN
flr-13	348	53	for	for	ADP
flr-13	348	54	a	a	DET
flr-13	348	55	correct	correct	ADJ
flr-13	348	56	classification	classification	NOUN
flr-13	348	57	.	.	PUNCT
flr-13	349	1	on	on	ADP
flr-13	349	2	the	the	DET
flr-13	349	3	other	other	ADJ
flr-13	349	4	hand	hand	NOUN
flr-13	349	5	,	,	PUNCT
flr-13	349	6	results	result	VERB
flr-13	349	7	from	from	ADP
flr-13	349	8	the	the	DET
flr-13	349	9	predictive	predictive	ADJ
flr-13	349	10	model	model	NOUN
flr-13	349	11	for	for	ADP
flr-13	349	12	those	those	DET
flr-13	349	13	students	student	NOUN
flr-13	349	14	expected	expect	VERB
flr-13	349	15	to	to	PART
flr-13	349	16	be	be	AUX
flr-13	349	17	in	in	ADP
flr-13	349	18	the	the	DET
flr-13	349	19	highest	high	ADJ
flr-13	349	20	33	33	NUM
flr-13	349	21	%	%	NOUN
flr-13	349	22	of	of	ADP
flr-13	349	23	the	the	DET
flr-13	349	24	general	general	PROPN
flr-13	349	25	gpa	gpa	PROPN
flr-13	349	26	scores	score	NOUN
flr-13	349	27	,	,	PUNCT
flr-13	349	28	the	the	DET
flr-13	349	29	top	top	ADJ
flr-13	349	30	three	three	NUM
flr-13	349	31	predictors	predictor	NOUN
flr-13	349	32	with	with	ADP
flr-13	349	33	the	the	DET
flr-13	349	34	most	most	ADV
flr-13	349	35	significant	significant	ADJ
flr-13	349	36	participation	participation	NOUN
flr-13	349	37	were	be	AUX
flr-13	349	38	background	background	NOUN
flr-13	349	39	variables	variable	NOUN
flr-13	349	40	involving	involve	VERB
flr-13	349	41	mother‟s	mother‟s	PROPN
flr-13	349	42	and	and	CCONJ
flr-13	349	43	father‟s	father‟s	PROPN
flr-13	349	44	occupation	occupation	NOUN
flr-13	349	45	,	,	PUNCT
flr-13	349	46	type	type	NOUN
flr-13	349	47	of	of	ADP
flr-13	349	48	secondary	secondary	ADJ
flr-13	349	49	school	school	NOUN
flr-13	349	50	,	,	PUNCT
flr-13	349	51	and	and	CCONJ
flr-13	349	52	overall	overall	ADJ
flr-13	349	53	reaction	reaction	NOUN
flr-13	349	54	time	time	NOUN
flr-13	349	55	of	of	ADP
flr-13	349	56	the	the	DET
flr-13	349	57	cognitive	cognitive	ADJ
flr-13	349	58	and	and	CCONJ
flr-13	349	59	attentional	attentional	ADJ
flr-13	349	60	processes	process	NOUN
flr-13	349	61	.	.	PUNCT
flr-13	350	1	ann3	ann3	PROPN
flr-13	350	2	,	,	PUNCT
flr-13	350	3	which	which	PRON
flr-13	350	4	was	be	AUX
flr-13	350	5	designed	design	VERB
flr-13	350	6	to	to	PART
flr-13	350	7	predict	predict	VERB
flr-13	350	8	the	the	DET
flr-13	350	9	three	three	NUM
flr-13	350	10	gpa	gpa	PROPN
flr-13	350	11	performance	performance	NOUN
flr-13	350	12	groups	group	NOUN
flr-13	350	13	simultaneously	simultaneously	ADV
flr-13	350	14	,	,	PUNCT
flr-13	350	15	used	use	VERB
flr-13	350	16	82.8	82.8	NUM
flr-13	350	17	%	%	NOUN
flr-13	350	18	of	of	ADP
flr-13	350	19	the	the	DET
flr-13	350	20	students	student	NOUN
flr-13	350	21	(	(	PUNCT
flr-13	350	22	n=710	n=710	PROPN
flr-13	350	23	)	)	PUNCT
flr-13	350	24	for	for	ADP
flr-13	350	25	the	the	DET
flr-13	350	26	training	training	NOUN
flr-13	350	27	phase	phase	NOUN
flr-13	350	28	,	,	PUNCT
flr-13	350	29	and	and	CCONJ
flr-13	350	30	17.2	17.2	NUM
flr-13	350	31	%	%	NOUN
flr-13	350	32	(	(	PUNCT
flr-13	350	33	n=122	n=122	NOUN
flr-13	350	34	)	)	PUNCT
flr-13	350	35	for	for	ADP
flr-13	350	36	the	the	DET
flr-13	350	37	testing	testing	NOUN
flr-13	350	38	phase	phase	NOUN
flr-13	350	39	.	.	PUNCT
flr-13	351	1	after	after	ADP
flr-13	351	2	maximizing	maximize	VERB
flr-13	351	3	the	the	DET
flr-13	351	4	training	training	NOUN
flr-13	351	5	procedures	procedure	NOUN
flr-13	351	6	,	,	PUNCT
flr-13	351	7	the	the	DET
flr-13	351	8	accuracy	accuracy	NOUN
flr-13	351	9	in	in	ADP
flr-13	351	10	the	the	DET
flr-13	351	11	testing	testing	NOUN
flr-13	351	12	phase	phase	NOUN
flr-13	351	13	reached	reach	VERB
flr-13	351	14	87.5	87.5	NUM
flr-13	351	15	%	%	NOUN
flr-13	351	16	for	for	ADP
flr-13	351	17	the	the	DET
flr-13	351	18	lowest	low	ADJ
flr-13	351	19	33	33	NUM
flr-13	351	20	%	%	NOUN
flr-13	351	21	,	,	PUNCT
flr-13	351	22	100	100	NUM
flr-13	351	23	%	%	NOUN
flr-13	351	24	for	for	ADP
flr-13	351	25	the	the	DET
flr-13	351	26	middle	middle	ADJ
flr-13	351	27	33	33	NUM
flr-13	351	28	%	%	NOUN
flr-13	351	29	,	,	PUNCT
flr-13	351	30	and	and	CCONJ
flr-13	351	31	100	100	NUM
flr-13	351	32	%	%	NOUN
flr-13	351	33	for	for	ADP
flr-13	351	34	the	the	DET
flr-13	351	35	highest	high	ADJ
flr-13	351	36	33	33	NUM
flr-13	351	37	%	%	NOUN
flr-13	351	38	(	(	PUNCT
flr-13	351	39	see	see	VERB
flr-13	351	40	figure	figure	NOUN
flr-13	351	41	3	3	NUM
flr-13	351	42	)	)	PUNCT
flr-13	351	43	.	.	PUNCT
flr-13	352	1	the	the	DET
flr-13	352	2	precision	precision	NOUN
flr-13	352	3	of	of	ADP
flr-13	352	4	ann3	ann3	PROPN
flr-13	352	5	equalled	equal	VERB
flr-13	352	6	.875	.875	NUM
flr-13	352	7	on	on	ADP
flr-13	352	8	a	a	DET
flr-13	352	9	m.	m.	NOUN
flr-13	352	10	f.	f.	PROPN
flr-13	352	11	musso	musso	PROPN
flr-13	352	12	et	et	PROPN
flr-13	352	13	al	al	PROPN
flr-13	352	14	.	.	PROPN
flr-13	352	15	59	59	NUM
flr-13	353	1	|	|	NOUN
flr-13	353	2	f	f	NOUN
flr-13	353	3	l	l	NOUN
flr-13	353	4	r	r	NOUN
flr-13	353	5	maximum	maximum	NOUN
flr-13	353	6	of	of	ADP
flr-13	353	7	1	1	NUM
flr-13	353	8	.	.	PUNCT
flr-13	354	1	the	the	DET
flr-13	354	2	sensitivity	sensitivity	NOUN
flr-13	354	3	of	of	ADP
flr-13	354	4	the	the	DET
flr-13	354	5	network	network	NOUN
flr-13	354	6	equalled	equal	VERB
flr-13	354	7	1	1	NUM
flr-13	354	8	,	,	PUNCT
flr-13	354	9	and	and	CCONJ
flr-13	354	10	the	the	DET
flr-13	354	11	specificity	specificity	NOUN
flr-13	354	12	amounted	amount	VERB
flr-13	354	13	to	to	ADP
flr-13	354	14	.50	.50	NUM
flr-13	354	15	.	.	PUNCT
flr-13	355	1	the	the	DET
flr-13	355	2	areas	area	NOUN
flr-13	355	3	under	under	ADP
flr-13	355	4	the	the	DET
flr-13	355	5	curve	curve	NOUN
flr-13	355	6	were	be	AUX
flr-13	355	7	.658	.658	NUM
flr-13	355	8	for	for	ADP
flr-13	355	9	the	the	DET
flr-13	355	10	low	low	ADJ
flr-13	355	11	33	33	NUM
flr-13	355	12	%	%	NOUN
flr-13	355	13	,	,	PUNCT
flr-13	355	14	.583	.583	NUM
flr-13	355	15	for	for	ADP
flr-13	355	16	the	the	DET
flr-13	355	17	middle	middle	ADJ
flr-13	355	18	33	33	NUM
flr-13	355	19	%	%	NOUN
flr-13	355	20	,	,	PUNCT
flr-13	355	21	and	and	CCONJ
flr-13	355	22	.637	.637	NUM
flr-13	355	23	for	for	ADP
flr-13	355	24	the	the	DET
flr-13	355	25	high	high	ADJ
flr-13	355	26	33	33	NUM
flr-13	355	27	%	%	NOUN
flr-13	355	28	.	.	PUNCT
flr-13	356	1	prediction	prediction	NOUN
flr-13	356	2	of	of	ADP
flr-13	356	3	academic	academic	ADJ
flr-13	356	4	performance	performance	NOUN
flr-13	356	5	33	33	NUM
flr-13	356	6	%	%	NOUN
flr-13	356	7	lowest	low	ADJ
flr-13	356	8	middle	middle	ADJ
flr-13	356	9	33	33	NUM
flr-13	356	10	%	%	NOUN
flr-13	356	11	33	33	NUM
flr-13	356	12	%	%	NOUN
flr-13	356	13	highest	high	ADJ
flr-13	356	14	observed	observed	ADJ
flr-13	356	15	academic	academic	ADJ
flr-13	356	16	performance	performance	NOUN
flr-13	356	17	low	low	ADJ
flr-13	356	18	33	33	NUM
flr-13	356	19	%	%	NOUN
flr-13	356	20	87.5	87.5	NUM
flr-13	356	21	%	%	NOUN
flr-13	356	22	10	10	NUM
flr-13	356	23	%	%	NOUN
flr-13	356	24	2.5	2.5	NUM
flr-13	356	25	%	%	NOUN
flr-13	356	26	middle	middle	ADJ
flr-13	356	27	33	33	NUM
flr-13	356	28	%	%	NOUN
flr-13	356	29	0	0	NUM
flr-13	356	30	%	%	NOUN
flr-13	356	31	100	100	NUM
flr-13	356	32	%	%	NOUN
flr-13	356	33	0	0	NUM
flr-13	356	34	%	%	NOUN
flr-13	356	35	high	high	ADJ
flr-13	356	36	33	33	NUM
flr-13	356	37	%	%	NOUN
flr-13	356	38	0	0	NUM
flr-13	356	39	%	%	NOUN
flr-13	356	40	0	0	NUM
flr-13	356	41	%	%	NOUN
flr-13	356	42	100	100	NUM
flr-13	356	43	%	%	NOUN
flr-13	356	44	figure	figure	NOUN
flr-13	356	45	3.testing	3.testing	NUM
flr-13	356	46	phase	phase	NOUN
flr-13	356	47	of	of	ADP
flr-13	356	48	the	the	DET
flr-13	356	49	neural	neural	ADJ
flr-13	356	50	network	network	NOUN
flr-13	356	51	predicting	predict	VERB
flr-13	356	52	the	the	DET
flr-13	356	53	three	three	NUM
flr-13	356	54	levels	level	NOUN
flr-13	356	55	of	of	ADP
flr-13	356	56	academic	academic	ADJ
flr-13	356	57	performance	performance	NOUN
flr-13	356	58	scores	score	NOUN
flr-13	356	59	(	(	PUNCT
flr-13	356	60	low	low	ADJ
flr-13	356	61	33%middle	33%middle	NUM
flr-13	356	62	33%high	33%high	NUM
flr-13	356	63	33	33	NUM
flr-13	356	64	%	%	NOUN
flr-13	356	65	)	)	PUNCT
flr-13	356	66	.	.	PUNCT
flr-13	357	1	the	the	DET
flr-13	357	2	most	most	ADV
flr-13	357	3	important	important	ADJ
flr-13	357	4	variables	variable	NOUN
flr-13	357	5	for	for	ADP
flr-13	357	6	the	the	DET
flr-13	357	7	prediction	prediction	NOUN
flr-13	357	8	of	of	ADP
flr-13	357	9	ann3	ann3	NOUN
flr-13	357	10	were	be	AUX
flr-13	357	11	orienting	orient	VERB
flr-13	357	12	attention	attention	NOUN
flr-13	357	13	,	,	PUNCT
flr-13	357	14	learning	learn	VERB
flr-13	357	15	strategies	strategy	NOUN
flr-13	357	16	related	relate	VERB
flr-13	357	17	to	to	ADP
flr-13	357	18	the	the	DET
flr-13	357	19	cognitive	cognitive	ADJ
flr-13	357	20	resources	resource	NOUN
flr-13	357	21	and	and	CCONJ
flr-13	357	22	information	information	NOUN
flr-13	357	23	processing	processing	NOUN
flr-13	357	24	,	,	PUNCT
flr-13	357	25	time	time	NOUN
flr-13	357	26	management	management	NOUN
flr-13	357	27	,	,	PUNCT
flr-13	357	28	and	and	CCONJ
flr-13	357	29	executive	executive	ADJ
flr-13	357	30	control	control	NOUN
flr-13	357	31	(	(	PUNCT
flr-13	357	32	executive	executive	ADJ
flr-13	357	33	attentional	attentional	ADJ
flr-13	357	34	network	network	NOUN
flr-13	357	35	)	)	PUNCT
flr-13	357	36	(	(	PUNCT
flr-13	357	37	see	see	VERB
flr-13	357	38	table	table	NOUN
flr-13	357	39	5	5	NUM
flr-13	357	40	)	)	PUNCT
flr-13	357	41	.	.	PUNCT
flr-13	358	1	table	table	NOUN
flr-13	358	2	5	5	NUM
flr-13	358	3	relative	relative	ADJ
flr-13	358	4	importance	importance	NOUN
flr-13	358	5	of	of	ADP
flr-13	358	6	the	the	DET
flr-13	358	7	most	most	ADV
flr-13	358	8	predictive	predictive	ADJ
flr-13	358	9	variables	variable	NOUN
flr-13	358	10	included	include	VERB
flr-13	358	11	in	in	ADP
flr-13	358	12	the	the	DET
flr-13	358	13	model	model	NOUN
flr-13	358	14	for	for	ADP
flr-13	358	15	the	the	DET
flr-13	358	16	predictive	predictive	ADJ
flr-13	358	17	classification	classification	NOUN
flr-13	358	18	of	of	ADP
flr-13	358	19	the	the	DET
flr-13	358	20	three	three	NUM
flr-13	358	21	levels	level	NOUN
flr-13	358	22	of	of	ADP
flr-13	358	23	academic	academic	ADJ
flr-13	358	24	performance	performance	NOUN
flr-13	358	25	all	all	DET
flr-13	358	26	3	3	NUM
flr-13	358	27	groups	group	NOUN
flr-13	358	28	gpa	gpa	PROPN
flr-13	358	29	(	(	PUNCT
flr-13	358	30	low	low	ADJ
flr-13	358	31	33	33	NUM
flr-13	358	32	%	%	NOUN
flr-13	358	33	mid	mid	ADJ
flr-13	358	34	33	33	NUM
flr-13	358	35	%	%	NOUN
flr-13	358	36	high	high	ADJ
flr-13	358	37	33	33	NUM
flr-13	358	38	%	%	NOUN
flr-13	358	39	)	)	PUNCT
flr-13	358	40	independent	independent	ADJ
flr-13	358	41	variable	variable	ADJ
flr-13	358	42	importance	importance	NOUN
flr-13	358	43	variables	variable	VERB
flr-13	358	44	importance	importance	NOUN
flr-13	358	45	normalized	normalize	VERB
flr-13	358	46	importance	importance	NOUN
flr-13	358	47	orienting	orient	VERB
flr-13	358	48	attention	attention	NOUN
flr-13	358	49	0.087	0.087	NUM
flr-13	358	50	100.00	100.00	NUM
flr-13	358	51	%	%	NOUN
flr-13	358	52	cognitive	cognitive	ADJ
flr-13	358	53	resources	resource	NOUN
flr-13	358	54	/	/	SYM
flr-13	358	55	cognitive	cognitive	NOUN
flr-13	358	56	processing	processing	NOUN
flr-13	358	57	0.076	0.076	NUM
flr-13	358	58	86.86	86.86	NUM
flr-13	358	59	%	%	NOUN
flr-13	358	60	time	time	NOUN
flr-13	358	61	management	management	NOUN
flr-13	358	62	0.074	0.074	NUM
flr-13	358	63	84.92	84.92	NUM
flr-13	358	64	%	%	NOUN
flr-13	358	65	executive	executive	NOUN
flr-13	358	66	control	control	NOUN
flr-13	358	67	0.073	0.073	NUM
flr-13	358	68	83.30	83.30	NUM
flr-13	358	69	%	%	NOUN
flr-13	358	70	father	father	NOUN
flr-13	358	71	's	's	PART
flr-13	358	72	occupation	occupation	NOUN
flr-13	358	73	0.071	0.071	NUM
flr-13	358	74	81.80	81.80	NUM
flr-13	358	75	%	%	NOUN
flr-13	358	76	mother	mother	NOUN
flr-13	358	77	's	's	PART
flr-13	358	78	occupation	occupation	NOUN
flr-13	358	79	0.070	0.070	NOUN
flr-13	358	80	79.91	79.91	NUM
flr-13	358	81	%	%	NOUN
flr-13	358	82	ln	ln	NOUN
flr-13	358	83	of	of	ADP
flr-13	358	84	attention	attention	NOUN
flr-13	358	85	total	total	NOUN
flr-13	358	86	reaction	reaction	NOUN
flr-13	358	87	time	time	NOUN
flr-13	358	88	0.067	0.067	NUM
flr-13	358	89	77.25	77.25	NUM
flr-13	358	90	%	%	NOUN
flr-13	358	91	alerting	alert	VERB
flr-13	358	92	attention	attention	NOUN
flr-13	358	93	0.067	0.067	NUM
flr-13	358	94	76.63	76.63	NUM
flr-13	358	95	%	%	NOUN
flr-13	358	96	ln	ln	NOUN
flr-13	358	97	of	of	ADP
flr-13	358	98	reaction	reaction	NOUN
flr-13	358	99	time	time	NOUN
flr-13	358	100	math	math	NOUN
flr-13	358	101	0.061	0.061	NUM
flr-13	358	102	70.14	70.14	NUM
flr-13	358	103	%	%	NOUN
flr-13	358	104	processing	processing	NOUN
flr-13	358	105	of	of	ADP
flr-13	358	106	information/	information/	NUM
flr-13	358	107	generalization	generalization	NOUN
flr-13	358	108	0.050	0.050	NUM
flr-13	358	109	57.20	57.20	NUM
flr-13	358	110	%	%	NOUN
flr-13	358	111	ln	ln	NOUN
flr-13	358	112	of	of	ADP
flr-13	358	113	reaction	reaction	NOUN
flr-13	358	114	time	time	NOUN
flr-13	358	115	operation	operation	NOUN
flr-13	358	116	0.043	0.043	NUM
flr-13	358	117	49.64	49.64	NUM
flr-13	358	118	%	%	NOUN
flr-13	358	119	study	study	NOUN
flr-13	358	120	techniques	technique	NOUN
flr-13	358	121	and	and	CCONJ
flr-13	358	122	use	use	NOUN
flr-13	358	123	of	of	ADP
flr-13	358	124	help	help	NOUN
flr-13	358	125	0.041	0.041	NUM
flr-13	358	126	46.55	46.55	NUM
flr-13	358	127	%	%	NOUN
flr-13	358	128	ln	ln	NOUN
flr-13	358	129	of	of	ADP
flr-13	358	130	reaction	reaction	NOUN
flr-13	358	131	time	time	NOUN
flr-13	358	132	problem	problem	NOUN
flr-13	358	133	0.040	0.040	NUM
flr-13	358	134	46.13	46.13	NUM
flr-13	358	135	%	%	NOUN
flr-13	358	136	m.	m.	NOUN
flr-13	358	137	f.	f.	PROPN
flr-13	358	138	musso	musso	PROPN
flr-13	358	139	et	et	PROPN
flr-13	358	140	al	al	PROPN
flr-13	358	141	.	.	PROPN
flr-13	359	1	60	60	NUM
flr-13	360	1	|	|	CCONJ
flr-13	360	2	f	f	NOUN
flr-13	360	3	l	l	NOUN
flr-13	360	4	r	r	NOUN
flr-13	360	5	anxiety	anxiety	NOUN
flr-13	360	6	management	management	NOUN
flr-13	360	7	0.038	0.038	NUM
flr-13	360	8	43.89	43.89	NUM
flr-13	360	9	%	%	NOUN
flr-13	360	10	gender	gender	NOUN
flr-13	360	11	0.032	0.032	NUM
flr-13	360	12	36.67	36.67	NUM
flr-13	360	13	%	%	NOUN
flr-13	360	14	highest	high	ADJ
flr-13	360	15	level	level	NOUN
flr-13	360	16	of	of	ADP
flr-13	360	17	education	education	NOUN
flr-13	360	18	completed	complete	VERB
flr-13	360	19	by	by	ADP
flr-13	360	20	father	father	PROPN
flr-13	360	21	0.031	0.031	NUM
flr-13	360	22	35.73	35.73	NUM
flr-13	360	23	%	%	NOUN
flr-13	360	24	absolute	absolute	ADJ
flr-13	360	25	aospan	aospan	NOUN
flr-13	360	26	(	(	PUNCT
flr-13	360	27	sum	sum	NOUN
flr-13	360	28	of	of	ADP
flr-13	360	29	perfectly	perfectly	ADV
flr-13	360	30	recalled	recall	VERB
flr-13	360	31	sets	set	NOUN
flr-13	360	32	)	)	PUNCT
flr-13	360	33	0.031	0.031	NUM
flr-13	360	34	35.09	35.09	NUM
flr-13	360	35	%	%	NOUN
flr-13	360	36	highest	high	ADJ
flr-13	360	37	level	level	NOUN
flr-13	360	38	of	of	ADP
flr-13	360	39	education	education	NOUN
flr-13	360	40	completed	complete	VERB
flr-13	360	41	by	by	ADP
flr-13	360	42	mother	mother	NOUN
flr-13	360	43	0.026	0.026	NUM
flr-13	360	44	29.88	29.88	NUM
flr-13	360	45	%	%	NOUN
flr-13	360	46	secondary	secondary	ADJ
flr-13	360	47	school	school	NOUN
flr-13	360	48	0.024	0.024	NUM
flr-13	360	49	27.29	27.29	NUM
flr-13	360	50	%	%	NOUN
flr-13	360	51	4.3	4.3	NUM
flr-13	360	52	maximizing	maximize	VERB
flr-13	360	53	the	the	DET
flr-13	360	54	ann	ann	PROPN
flr-13	360	55	models	model	NOUN
flr-13	360	56	all	all	DET
flr-13	360	57	ann	ann	PROPN
flr-13	360	58	models	model	NOUN
flr-13	360	59	were	be	AUX
flr-13	360	60	developed	develop	VERB
flr-13	360	61	so	so	SCONJ
flr-13	360	62	as	as	SCONJ
flr-13	360	63	to	to	PART
flr-13	360	64	maximize	maximize	VERB
flr-13	360	65	the	the	DET
flr-13	360	66	accuracy	accuracy	NOUN
flr-13	360	67	of	of	ADP
flr-13	360	68	the	the	DET
flr-13	360	69	classification	classification	NOUN
flr-13	360	70	.	.	PUNCT
flr-13	361	1	the	the	DET
flr-13	361	2	number	number	NOUN
flr-13	361	3	of	of	ADP
flr-13	361	4	units	unit	NOUN
flr-13	361	5	in	in	ADP
flr-13	361	6	the	the	DET
flr-13	361	7	hidden	hidden	ADJ
flr-13	361	8	layers	layer	NOUN
flr-13	361	9	was	be	AUX
flr-13	361	10	determined	determine	VERB
flr-13	361	11	by	by	ADP
flr-13	361	12	optimizing	optimize	VERB
flr-13	361	13	the	the	DET
flr-13	361	14	ability	ability	NOUN
flr-13	361	15	of	of	ADP
flr-13	361	16	the	the	DET
flr-13	361	17	hidden	hide	VERB
flr-13	361	18	nodes	node	NOUN
flr-13	361	19	to	to	PART
flr-13	361	20	store	store	VERB
flr-13	361	21	the	the	DET
flr-13	361	22	necessary	necessary	ADJ
flr-13	361	23	weight	weight	NOUN
flr-13	361	24	information	information	NOUN
flr-13	361	25	,	,	PUNCT
flr-13	361	26	while	while	SCONJ
flr-13	361	27	avoiding	avoid	VERB
flr-13	361	28	the	the	DET
flr-13	361	29	over	over	NOUN
flr-13	361	30	-	-	PUNCT
flr-13	361	31	determination	determination	NOUN
flr-13	361	32	that	that	PRON
flr-13	361	33	would	would	AUX
flr-13	361	34	result	result	VERB
flr-13	361	35	from	from	ADP
flr-13	361	36	an	an	DET
flr-13	361	37	excessive	excessive	ADJ
flr-13	361	38	number	number	NOUN
flr-13	361	39	of	of	ADP
flr-13	361	40	units	unit	NOUN
flr-13	361	41	.	.	PUNCT
flr-13	362	1	while	while	SCONJ
flr-13	362	2	greater	great	ADJ
flr-13	362	3	number	number	NOUN
flr-13	362	4	of	of	ADP
flr-13	362	5	units	unit	NOUN
flr-13	362	6	would	would	AUX
flr-13	362	7	have	have	AUX
flr-13	362	8	given	give	VERB
flr-13	362	9	the	the	DET
flr-13	362	10	model	model	NOUN
flr-13	362	11	greater	great	ADJ
flr-13	362	12	flexibility	flexibility	NOUN
flr-13	362	13	,	,	PUNCT
flr-13	362	14	it	it	PRON
flr-13	362	15	would	would	AUX
flr-13	362	16	have	have	AUX
flr-13	362	17	increased	increase	VERB
flr-13	362	18	complexity	complexity	NOUN
flr-13	362	19	at	at	ADP
flr-13	362	20	the	the	DET
flr-13	362	21	cost	cost	NOUN
flr-13	362	22	of	of	ADP
flr-13	362	23	decreasing	decrease	VERB
flr-13	362	24	generalizability	generalizability	NOUN
flr-13	362	25	to	to	ADP
flr-13	362	26	the	the	DET
flr-13	362	27	testing	testing	NOUN
flr-13	362	28	sample	sample	NOUN
flr-13	362	29	.	.	PUNCT
flr-13	363	1	similarly	similarly	ADV
flr-13	363	2	,	,	PUNCT
flr-13	363	3	not	not	PART
flr-13	363	4	enough	enough	ADJ
flr-13	363	5	units	unit	NOUN
flr-13	363	6	would	would	AUX
flr-13	363	7	not	not	PART
flr-13	363	8	have	have	AUX
flr-13	363	9	produced	produce	VERB
flr-13	363	10	a	a	DET
flr-13	363	11	proper	proper	ADJ
flr-13	363	12	fit	fit	NOUN
flr-13	363	13	with	with	ADP
flr-13	363	14	the	the	DET
flr-13	363	15	data	datum	NOUN
flr-13	363	16	and	and	CCONJ
flr-13	363	17	would	would	AUX
flr-13	363	18	have	have	AUX
flr-13	363	19	reduced	reduce	VERB
flr-13	363	20	the	the	DET
flr-13	363	21	power	power	NOUN
flr-13	363	22	of	of	ADP
flr-13	363	23	the	the	DET
flr-13	363	24	model	model	NOUN
flr-13	363	25	.	.	PUNCT
flr-13	364	1	therefore	therefore	ADV
flr-13	364	2	,	,	PUNCT
flr-13	364	3	various	various	ADJ
flr-13	364	4	models	model	NOUN
flr-13	364	5	were	be	AUX
flr-13	364	6	developed	develop	VERB
flr-13	364	7	in	in	ADP
flr-13	364	8	order	order	NOUN
flr-13	364	9	to	to	PART
flr-13	364	10	find	find	VERB
flr-13	364	11	the	the	DET
flr-13	364	12	proper	proper	ADJ
flr-13	364	13	balance	balance	NOUN
flr-13	364	14	and	and	CCONJ
flr-13	364	15	maximize	maximize	VERB
flr-13	364	16	the	the	DET
flr-13	364	17	predictive	predictive	ADJ
flr-13	364	18	power	power	NOUN
flr-13	364	19	for	for	ADP
flr-13	364	20	each	each	DET
flr-13	364	21	model	model	NOUN
flr-13	364	22	.	.	PUNCT
flr-13	365	1	in	in	ADP
flr-13	365	2	all	all	DET
flr-13	365	3	models	model	NOUN
flr-13	365	4	,	,	PUNCT
flr-13	365	5	the	the	DET
flr-13	365	6	training	training	NOUN
flr-13	365	7	and	and	CCONJ
flr-13	365	8	testing	testing	NOUN
flr-13	365	9	samples	sample	NOUN
flr-13	365	10	were	be	AUX
flr-13	365	11	selected	select	VERB
flr-13	365	12	at	at	ADP
flr-13	365	13	random	random	ADJ
flr-13	365	14	from	from	ADP
flr-13	365	15	the	the	DET
flr-13	365	16	existing	exist	VERB
flr-13	365	17	data	datum	NOUN
flr-13	365	18	and	and	CCONJ
flr-13	365	19	the	the	DET
flr-13	365	20	proportions	proportion	NOUN
flr-13	365	21	were	be	AUX
flr-13	365	22	adjusted	adjust	VERB
flr-13	365	23	in	in	ADP
flr-13	365	24	order	order	NOUN
flr-13	365	25	to	to	PART
flr-13	365	26	maximize	maximize	VERB
flr-13	365	27	the	the	DET
flr-13	365	28	training	training	NOUN
flr-13	365	29	sample	sample	NOUN
flr-13	365	30	while	while	SCONJ
flr-13	365	31	preserving	preserve	VERB
flr-13	365	32	the	the	DET
flr-13	365	33	appearance	appearance	NOUN
flr-13	365	34	of	of	ADP
flr-13	365	35	all	all	DET
flr-13	365	36	detected	detect	VERB
flr-13	365	37	patterns	pattern	NOUN
flr-13	365	38	in	in	ADP
flr-13	365	39	the	the	DET
flr-13	365	40	testing	testing	NOUN
flr-13	365	41	sample	sample	NOUN
flr-13	365	42	,	,	PUNCT
flr-13	365	43	so	so	SCONJ
flr-13	365	44	as	as	SCONJ
flr-13	365	45	to	to	PART
flr-13	365	46	be	be	AUX
flr-13	365	47	able	able	ADJ
flr-13	365	48	to	to	PART
flr-13	365	49	appropriately	appropriately	ADV
flr-13	365	50	test	test	VERB
flr-13	365	51	the	the	DET
flr-13	365	52	model	model	NOUN
flr-13	365	53	.	.	PUNCT
flr-13	366	1	other	other	ADJ
flr-13	366	2	parameters	parameter	NOUN
flr-13	366	3	that	that	PRON
flr-13	366	4	were	be	AUX
flr-13	366	5	varied	varied	ADJ
flr-13	366	6	in	in	ADP
flr-13	366	7	order	order	NOUN
flr-13	366	8	to	to	PART
flr-13	366	9	maximize	maximize	VERB
flr-13	366	10	the	the	DET
flr-13	366	11	performance	performance	NOUN
flr-13	366	12	of	of	ADP
flr-13	366	13	the	the	DET
flr-13	366	14	networks	network	NOUN
flr-13	366	15	were	be	AUX
flr-13	366	16	learning	learn	VERB
flr-13	366	17	rate	rate	NOUN
flr-13	366	18	and	and	CCONJ
flr-13	366	19	momentum	momentum	NOUN
flr-13	366	20	.	.	PUNCT
flr-13	367	1	the	the	DET
flr-13	367	2	variations	variation	NOUN
flr-13	367	3	in	in	ADP
flr-13	367	4	the	the	DET
flr-13	367	5	learning	learning	NOUN
flr-13	367	6	rate	rate	NOUN
flr-13	367	7	parameter	parameter	PROPN
flr-13	367	8	allowed	allow	VERB
flr-13	367	9	the	the	DET
flr-13	367	10	control	control	NOUN
flr-13	367	11	of	of	ADP
flr-13	367	12	the	the	DET
flr-13	367	13	amount	amount	NOUN
flr-13	367	14	of	of	ADP
flr-13	367	15	weight	weight	NOUN
flr-13	367	16	and	and	CCONJ
flr-13	367	17	bias	bias	NOUN
flr-13	367	18	change	change	NOUN
flr-13	367	19	during	during	ADP
flr-13	367	20	the	the	DET
flr-13	367	21	training	training	NOUN
flr-13	367	22	of	of	ADP
flr-13	367	23	the	the	DET
flr-13	367	24	network	network	NOUN
flr-13	367	25	.	.	PUNCT
flr-13	368	1	different	different	ADJ
flr-13	368	2	problem	problem	NOUN
flr-13	368	3	conditions	condition	NOUN
flr-13	368	4	find	find	VERB
flr-13	368	5	better	well	ADJ
flr-13	368	6	solutions	solution	NOUN
flr-13	368	7	with	with	ADP
flr-13	368	8	different	different	ADJ
flr-13	368	9	size	size	NOUN
flr-13	368	10	of	of	ADP
flr-13	368	11	changes	change	NOUN
flr-13	368	12	in	in	ADP
flr-13	368	13	the	the	DET
flr-13	368	14	architecture	architecture	NOUN
flr-13	368	15	of	of	ADP
flr-13	368	16	the	the	DET
flr-13	368	17	network	network	NOUN
flr-13	368	18	.	.	PUNCT
flr-13	369	1	regarding	regard	VERB
flr-13	369	2	the	the	DET
flr-13	369	3	momentum	momentum	NOUN
flr-13	369	4	,	,	PUNCT
flr-13	369	5	it	it	PRON
flr-13	369	6	was	be	AUX
flr-13	369	7	used	use	VERB
flr-13	369	8	to	to	PART
flr-13	369	9	prevent	prevent	VERB
flr-13	369	10	the	the	DET
flr-13	369	11	network	network	NOUN
flr-13	369	12	from	from	ADP
flr-13	369	13	converging	converge	VERB
flr-13	369	14	too	too	ADV
flr-13	369	15	early	early	ADV
flr-13	369	16	to	to	ADP
flr-13	369	17	a	a	DET
flr-13	369	18	local	local	ADJ
flr-13	369	19	minimum	minimum	NOUN
flr-13	369	20	,	,	PUNCT
flr-13	369	21	and	and	CCONJ
flr-13	369	22	conversely	conversely	ADV
flr-13	369	23	to	to	PART
flr-13	369	24	avoid	avoid	VERB
flr-13	369	25	overshooting	overshoot	VERB
flr-13	369	26	the	the	DET
flr-13	369	27	global	global	ADJ
flr-13	369	28	minimum	minimum	NOUN
flr-13	369	29	of	of	ADP
flr-13	369	30	the	the	DET
flr-13	369	31	function	function	NOUN
flr-13	369	32	;	;	PUNCT
flr-13	369	33	thus	thus	ADV
flr-13	369	34	,	,	PUNCT
flr-13	369	35	it	it	PRON
flr-13	369	36	is	be	AUX
flr-13	369	37	important	important	ADJ
flr-13	369	38	to	to	PART
flr-13	369	39	avoid	avoid	VERB
flr-13	369	40	having	have	VERB
flr-13	369	41	a	a	DET
flr-13	369	42	value	value	NOUN
flr-13	369	43	which	which	PRON
flr-13	369	44	is	be	AUX
flr-13	369	45	too	too	ADV
flr-13	369	46	large	large	ADJ
flr-13	369	47	for	for	ADP
flr-13	369	48	the	the	DET
flr-13	369	49	momentum	momentum	NOUN
flr-13	369	50	(	(	PUNCT
flr-13	369	51	it	it	PRON
flr-13	369	52	can	can	AUX
flr-13	369	53	overshoot	overshoot	VERB
flr-13	369	54	)	)	PUNCT
flr-13	369	55	,	,	PUNCT
flr-13	369	56	or	or	CCONJ
flr-13	369	57	too	too	ADV
flr-13	369	58	low	low	ADJ
flr-13	369	59	(	(	PUNCT
flr-13	369	60	it	it	PRON
flr-13	369	61	can	can	AUX
flr-13	369	62	get	get	AUX
flr-13	369	63	stuck	stick	VERB
flr-13	369	64	in	in	ADP
flr-13	369	65	a	a	DET
flr-13	369	66	local	local	ADJ
flr-13	369	67	minimum	minimum	NOUN
flr-13	369	68	)	)	PUNCT
flr-13	369	69	.	.	PUNCT
flr-13	370	1	balancing	balance	VERB
flr-13	370	2	these	these	DET
flr-13	370	3	parameters	parameter	NOUN
flr-13	370	4	maximizes	maximize	VERB
flr-13	370	5	the	the	DET
flr-13	370	6	solution	solution	NOUN
flr-13	370	7	,	,	PUNCT
flr-13	370	8	and	and	CCONJ
flr-13	370	9	if	if	SCONJ
flr-13	370	10	correctly	correctly	ADV
flr-13	370	11	identified	identify	VERB
flr-13	370	12	provide	provide	VERB
flr-13	370	13	a	a	DET
flr-13	370	14	stable	stable	ADJ
flr-13	370	15	and	and	CCONJ
flr-13	370	16	reliable	reliable	ADJ
flr-13	370	17	solution	solution	NOUN
flr-13	370	18	as	as	ADP
flr-13	370	19	the	the	DET
flr-13	370	20	ones	one	NOUN
flr-13	370	21	that	that	PRON
flr-13	370	22	were	be	AUX
flr-13	370	23	found	find	VERB
flr-13	370	24	in	in	ADP
flr-13	370	25	this	this	DET
flr-13	370	26	study	study	NOUN
flr-13	370	27	.	.	PUNCT
flr-13	371	1	4.4	4.4	NUM
flr-13	371	2	predictive	predictive	ADJ
flr-13	371	3	contribution	contribution	NOUN
flr-13	371	4	by	by	ADP
flr-13	371	5	categories	category	NOUN
flr-13	371	6	of	of	ADP
flr-13	371	7	variables	variable	NOUN
flr-13	371	8	besides	besides	SCONJ
flr-13	371	9	studying	study	VERB
flr-13	371	10	the	the	DET
flr-13	371	11	contribution	contribution	NOUN
flr-13	371	12	of	of	ADP
flr-13	371	13	each	each	DET
flr-13	371	14	variable	variable	NOUN
flr-13	371	15	individually	individually	ADV
flr-13	371	16	for	for	SCONJ
flr-13	371	17	each	each	DET
flr-13	371	18	neural	neural	ADJ
flr-13	371	19	network	network	NOUN
flr-13	371	20	developed	develop	VERB
flr-13	371	21	to	to	PART
flr-13	371	22	classify	classify	VERB
flr-13	371	23	the	the	DET
flr-13	371	24	various	various	ADJ
flr-13	371	25	expected	expect	VERB
flr-13	371	26	performance	performance	NOUN
flr-13	371	27	levels	level	NOUN
flr-13	371	28	(	(	PUNCT
flr-13	371	29	low	low	ADJ
flr-13	371	30	performers	performer	NOUN
flr-13	371	31	,	,	PUNCT
flr-13	371	32	high	high	ADJ
flr-13	371	33	performers	performer	NOUN
flr-13	371	34	,	,	PUNCT
flr-13	371	35	and	and	CCONJ
flr-13	371	36	three	three	NUM
flr-13	371	37	performance	performance	NOUN
flr-13	371	38	groups	group	NOUN
flr-13	371	39	simultaneously	simultaneously	ADV
flr-13	371	40	)	)	PUNCT
flr-13	371	41	,	,	PUNCT
flr-13	371	42	the	the	DET
flr-13	371	43	contribution	contribution	NOUN
flr-13	371	44	of	of	ADP
flr-13	371	45	each	each	DET
flr-13	371	46	category	category	NOUN
flr-13	371	47	or	or	CCONJ
flr-13	371	48	set	set	NOUN
flr-13	371	49	of	of	ADP
flr-13	371	50	variables	variable	NOUN
flr-13	371	51	(	(	PUNCT
flr-13	371	52	background	background	NOUN
flr-13	371	53	,	,	PUNCT
flr-13	371	54	basic	basic	ADJ
flr-13	371	55	cognitive	cognitive	ADJ
flr-13	371	56	processes	process	NOUN
flr-13	371	57	,	,	PUNCT
flr-13	371	58	total	total	ADJ
flr-13	371	59	reaction	reaction	NOUN
flr-13	371	60	times	time	NOUN
flr-13	371	61	for	for	ADP
flr-13	371	62	wmc	wmc	PROPN
flr-13	371	63	operations	operation	NOUN
flr-13	371	64	and	and	CCONJ
flr-13	371	65	attentional	attentional	ADJ
flr-13	371	66	networks	network	NOUN
flr-13	371	67	,	,	PUNCT
flr-13	371	68	and	and	CCONJ
flr-13	371	69	learning	learn	VERB
flr-13	371	70	strategies	strategy	NOUN
flr-13	371	71	/	/	SYM
flr-13	371	72	motivation	motivation	NOUN
flr-13	371	73	)	)	PUNCT
flr-13	371	74	was	be	AUX
flr-13	371	75	analysed	analyse	VERB
flr-13	371	76	for	for	SCONJ
flr-13	371	77	each	each	DET
flr-13	371	78	ann	ann	PROPN
flr-13	371	79	developed	develop	VERB
flr-13	371	80	,	,	PUNCT
flr-13	371	81	and	and	CCONJ
flr-13	371	82	the	the	DET
flr-13	371	83	total	total	ADJ
flr-13	371	84	predictive	predictive	ADJ
flr-13	371	85	weight	weight	NOUN
flr-13	371	86	for	for	ADP
flr-13	371	87	each	each	DET
flr-13	371	88	category	category	NOUN
flr-13	371	89	of	of	ADP
flr-13	371	90	variables	variable	NOUN
flr-13	371	91	,	,	PUNCT
flr-13	371	92	as	as	ADV
flr-13	371	93	well	well	ADV
flr-13	371	94	as	as	ADP
flr-13	371	95	their	their	PRON
flr-13	371	96	average	average	NOUN
flr-13	371	97	,	,	PUNCT
flr-13	371	98	was	be	AUX
flr-13	371	99	determined	determine	VERB
flr-13	371	100	.	.	PUNCT
flr-13	372	1	table	table	NOUN
flr-13	372	2	6	6	NUM
flr-13	372	3	and	and	CCONJ
flr-13	372	4	figure	figure	VERB
flr-13	372	5	4	4	NUM
flr-13	372	6	show	show	VERB
flr-13	372	7	that	that	SCONJ
flr-13	372	8	in	in	ADP
flr-13	372	9	terms	term	NOUN
flr-13	372	10	of	of	ADP
flr-13	372	11	predictive	predictive	ADJ
flr-13	372	12	weight	weight	NOUN
flr-13	372	13	,	,	PUNCT
flr-13	372	14	the	the	DET
flr-13	372	15	most	most	ADV
flr-13	372	16	important	important	ADJ
flr-13	372	17	variables	variable	NOUN
flr-13	372	18	when	when	SCONJ
flr-13	372	19	estimating	estimate	VERB
flr-13	372	20	the	the	DET
flr-13	372	21	levels	level	NOUN
flr-13	372	22	of	of	ADP
flr-13	372	23	predicted	predict	VERB
flr-13	372	24	gpa	gpa	PROPN
flr-13	372	25	performance	performance	NOUN
flr-13	372	26	for	for	ADP
flr-13	372	27	all	all	DET
flr-13	372	28	three	three	NUM
flr-13	372	29	groups	group	NOUN
flr-13	372	30	simultaneously	simultaneously	ADV
flr-13	372	31	,	,	PUNCT
flr-13	372	32	are	be	AUX
flr-13	372	33	the	the	DET
flr-13	372	34	background	background	NOUN
flr-13	372	35	factors	factor	NOUN
flr-13	372	36	(	(	PUNCT
flr-13	372	37	e.g.	e.g.	ADV
flr-13	372	38	,	,	PUNCT
flr-13	372	39	socio	socio	NOUN
flr-13	372	40	-	-	PUNCT
flr-13	372	41	economic	economic	ADJ
flr-13	372	42	status	status	NOUN
flr-13	372	43	proxy	proxy	NOUN
flr-13	372	44	data	data	PROPN
flr-13	372	45	,	,	PUNCT
flr-13	372	46	type	type	NOUN
flr-13	372	47	of	of	ADP
flr-13	372	48	secondary	secondary	ADJ
flr-13	372	49	school	school	NOUN
flr-13	372	50	,	,	PUNCT
flr-13	372	51	occupation	occupation	NOUN
flr-13	372	52	and	and	CCONJ
flr-13	372	53	education	education	NOUN
flr-13	372	54	of	of	ADP
flr-13	372	55	parents	parent	NOUN
flr-13	372	56	,	,	PUNCT
flr-13	372	57	etc	etc	X
flr-13	372	58	.	.	X
flr-13	372	59	)	)	PUNCT
flr-13	372	60	,	,	PUNCT
flr-13	372	61	but	but	CCONJ
flr-13	372	62	when	when	SCONJ
flr-13	372	63	comparing	compare	VERB
flr-13	372	64	the	the	DET
flr-13	372	65	two	two	NUM
flr-13	372	66	extreme	extreme	ADJ
flr-13	372	67	predicted	predict	VERB
flr-13	372	68	performance	performance	NOUN
flr-13	372	69	groups	group	NOUN
flr-13	372	70	,	,	PUNCT
flr-13	372	71	it	it	PRON
flr-13	372	72	is	be	AUX
flr-13	372	73	interesting	interesting	ADJ
flr-13	372	74	to	to	PART
flr-13	372	75	note	note	VERB
flr-13	372	76	that	that	SCONJ
flr-13	372	77	specific	specific	ADJ
flr-13	372	78	patterns	pattern	NOUN
flr-13	372	79	involving	involve	VERB
flr-13	372	80	different	different	ADJ
flr-13	372	81	variables	variable	NOUN
flr-13	372	82	are	be	AUX
flr-13	372	83	evident	evident	ADJ
flr-13	372	84	for	for	ADP
flr-13	372	85	low	low	ADJ
flr-13	372	86	and	and	CCONJ
flr-13	372	87	high	high	ADJ
flr-13	372	88	expected	expect	VERB
flr-13	372	89	academic	academic	ADJ
flr-13	372	90	performance	performance	NOUN
flr-13	372	91	:	:	PUNCT
flr-13	372	92	learning	learn	VERB
flr-13	372	93	strategies	strategy	NOUN
flr-13	372	94	/	/	SYM
flr-13	372	95	motivation	motivation	NOUN
flr-13	372	96	had	have	VERB
flr-13	372	97	a	a	DET
flr-13	372	98	stronger	strong	ADJ
flr-13	372	99	predictive	predictive	ADJ
flr-13	372	100	weight	weight	NOUN
flr-13	372	101	for	for	ADP
flr-13	372	102	students	student	NOUN
flr-13	372	103	expected	expect	VERB
flr-13	372	104	to	to	PART
flr-13	372	105	be	be	AUX
flr-13	372	106	in	in	ADP
flr-13	372	107	the	the	DET
flr-13	372	108	lowest	low	ADJ
flr-13	372	109	33	33	NUM
flr-13	372	110	%	%	NOUN
flr-13	372	111	of	of	ADP
flr-13	372	112	gpa	gpa	PROPN
flr-13	372	113	performance	performance	NOUN
flr-13	372	114	;	;	PUNCT
flr-13	372	115	on	on	ADP
flr-13	372	116	the	the	DET
flr-13	372	117	other	other	ADJ
flr-13	372	118	hand	hand	NOUN
flr-13	372	119	,	,	PUNCT
flr-13	372	120	for	for	ADP
flr-13	372	121	students	student	NOUN
flr-13	372	122	predicted	predict	VERB
flr-13	372	123	to	to	PART
flr-13	372	124	belong	belong	VERB
flr-13	372	125	to	to	ADP
flr-13	372	126	the	the	DET
flr-13	372	127	highest	high	ADJ
flr-13	372	128	33	33	NUM
flr-13	372	129	%	%	NOUN
flr-13	372	130	of	of	ADP
flr-13	372	131	gpa	gpa	PROPN
flr-13	372	132	performance	performance	NOUN
flr-13	372	133	,	,	PUNCT
flr-13	372	134	background	background	NOUN
flr-13	372	135	variables	variable	NOUN
flr-13	372	136	and	and	CCONJ
flr-13	372	137	some	some	PRON
flr-13	372	138	of	of	ADP
flr-13	372	139	the	the	DET
flr-13	372	140	cognitive	cognitive	ADJ
flr-13	372	141	processing	processing	NOUN
flr-13	372	142	variables	variable	NOUN
flr-13	372	143	were	be	AUX
flr-13	372	144	those	those	PRON
flr-13	372	145	carrying	carry	VERB
flr-13	372	146	the	the	DET
flr-13	372	147	most	most	ADV
flr-13	372	148	predictive	predictive	ADJ
flr-13	372	149	weight	weight	NOUN
flr-13	372	150	.	.	PUNCT
flr-13	373	1	m.	m.	PROPN
flr-13	373	2	f.	f.	PROPN
flr-13	373	3	musso	musso	PROPN
flr-13	373	4	et	et	PROPN
flr-13	373	5	al	al	PROPN
flr-13	373	6	.	.	PROPN
flr-13	374	1	61	61	NUM
flr-13	375	1	|	|	NOUN
flr-13	375	2	f	f	NOUN
flr-13	375	3	l	l	NOUN
flr-13	375	4	r	r	NOUN
flr-13	375	5	table	table	NOUN
flr-13	375	6	6	6	NUM
flr-13	375	7	comparative	comparative	ADJ
flr-13	375	8	predictive	predictive	ADJ
flr-13	375	9	weight	weight	NOUN
flr-13	375	10	contribution	contribution	NOUN
flr-13	375	11	for	for	ADP
flr-13	375	12	the	the	DET
flr-13	375	13	three	three	NUM
flr-13	375	14	levels	level	NOUN
flr-13	375	15	of	of	ADP
flr-13	375	16	academic	academic	ADJ
flr-13	375	17	performance	performance	NOUN
flr-13	375	18	by	by	ADP
flr-13	375	19	each	each	PRON
flr-13	375	20	of	of	ADP
flr-13	375	21	the	the	DET
flr-13	375	22	categories	category	NOUN
flr-13	375	23	of	of	ADP
flr-13	375	24	predictor	predictor	NOUN
flr-13	375	25	variables	variable	NOUN
flr-13	375	26	low	low	ADJ
flr-13	375	27	33	33	NUM
flr-13	375	28	%	%	NOUN
flr-13	375	29	mid	mid	ADJ
flr-13	375	30	33	33	NUM
flr-13	375	31	high	high	ADJ
flr-13	375	32	33	33	NUM
flr-13	375	33	%	%	NOUN
flr-13	375	34	mean	mean	NOUN
flr-13	375	35	predictive	predictive	ADJ
flr-13	375	36	weight	weight	NOUN
flr-13	375	37	of	of	ADP
flr-13	375	38	each	each	DET
flr-13	375	39	area	area	NOUN
flr-13	375	40	background	background	NOUN
flr-13	375	41	28.40	28.40	NUM
flr-13	375	42	%	%	NOUN
flr-13	375	43	25.40	25.40	NUM
flr-13	375	44	%	%	NOUN
flr-13	375	45	36.60	36.60	NUM
flr-13	375	46	%	%	NOUN
flr-13	375	47	30.13	30.13	NUM
flr-13	375	48	%	%	NOUN
flr-13	375	49	basic	basic	ADJ
flr-13	375	50	cognitive	cognitive	NOUN
flr-13	375	51	21.50	21.50	NUM
flr-13	375	52	%	%	NOUN
flr-13	375	53	25.70	25.70	NUM
flr-13	375	54	%	%	NOUN
flr-13	375	55	23.20	23.20	NUM
flr-13	375	56	%	%	NOUN
flr-13	375	57	23.47	23.47	NUM
flr-13	375	58	%	%	NOUN
flr-13	375	59	reaction	reaction	NOUN
flr-13	375	60	time	time	NOUN
flr-13	375	61	total	total	ADJ
flr-13	375	62	18.90	18.90	NUM
flr-13	375	63	%	%	NOUN
flr-13	375	64	21.10	21.10	NUM
flr-13	375	65	%	%	NOUN
flr-13	375	66	16.60	16.60	NUM
flr-13	375	67	%	%	NOUN
flr-13	375	68	18.87	18.87	NUM
flr-13	375	69	%	%	NOUN
flr-13	375	70	learning	learn	VERB
flr-13	375	71	strategies	strategy	NOUN
flr-13	375	72	/	/	SYM
flr-13	375	73	motivation	motivation	NOUN
flr-13	375	74	31.20	31.20	NUM
flr-13	375	75	%	%	NOUN
flr-13	375	76	27.80	27.80	NUM
flr-13	375	77	%	%	NOUN
flr-13	375	78	23.60	23.60	NUM
flr-13	375	79	%	%	NOUN
flr-13	375	80	27.53	27.53	NUM
flr-13	375	81	%	%	NOUN
flr-13	375	82	100	100	NUM
flr-13	375	83	%	%	NOUN
flr-13	375	84	100	100	NUM
flr-13	375	85	%	%	NOUN
flr-13	375	86	100	100	NUM
flr-13	375	87	%	%	NOUN
flr-13	375	88	figure	figure	NOUN
flr-13	375	89	4	4	NUM
flr-13	375	90	.	.	NOUN
flr-13	375	91	comparison	comparison	NOUN
flr-13	375	92	of	of	ADP
flr-13	375	93	predictive	predictive	ADJ
flr-13	375	94	weight	weight	NOUN
flr-13	375	95	levels	level	NOUN
flr-13	375	96	for	for	ADP
flr-13	375	97	the	the	DET
flr-13	375	98	three	three	NUM
flr-13	375	99	levels	level	NOUN
flr-13	375	100	of	of	ADP
flr-13	375	101	academic	academic	ADJ
flr-13	375	102	performance	performance	NOUN
flr-13	375	103	by	by	ADP
flr-13	375	104	categories	category	NOUN
flr-13	375	105	of	of	ADP
flr-13	375	106	predictor	predictor	NOUN
flr-13	375	107	variables	variable	NOUN
flr-13	375	108	.	.	PUNCT
flr-13	376	1	4.5	4.5	NUM
flr-13	376	2	initial	initial	ADJ
flr-13	376	3	analysis	analysis	NOUN
flr-13	376	4	of	of	ADP
flr-13	376	5	individual	individual	ADJ
flr-13	376	6	continuous	continuous	ADJ
flr-13	376	7	estimates	estimate	NOUN
flr-13	376	8	of	of	ADP
flr-13	376	9	future	future	ADJ
flr-13	376	10	academic	academic	ADJ
flr-13	376	11	performance	performance	NOUN
flr-13	376	12	while	while	SCONJ
flr-13	376	13	most	most	ADJ
flr-13	376	14	of	of	ADP
flr-13	376	15	this	this	DET
flr-13	376	16	study	study	NOUN
flr-13	376	17	has	have	AUX
flr-13	376	18	been	be	AUX
flr-13	376	19	centered	center	VERB
flr-13	376	20	around	around	ADP
flr-13	376	21	the	the	DET
flr-13	376	22	successful	successful	ADJ
flr-13	376	23	development	development	NOUN
flr-13	376	24	of	of	ADP
flr-13	376	25	models	model	NOUN
flr-13	376	26	to	to	PART
flr-13	376	27	categorize	categorize	VERB
flr-13	376	28	expected	expect	VERB
flr-13	376	29	levels	level	NOUN
flr-13	376	30	of	of	ADP
flr-13	376	31	performance	performance	NOUN
flr-13	376	32	(	(	PUNCT
flr-13	376	33	which	which	PRON
flr-13	376	34	can	can	AUX
flr-13	376	35	be	be	AUX
flr-13	376	36	varied	varied	ADJ
flr-13	376	37	according	accord	VERB
flr-13	376	38	to	to	ADP
flr-13	376	39	the	the	DET
flr-13	376	40	problem	problem	NOUN
flr-13	376	41	situation	situation	NOUN
flr-13	376	42	)	)	PUNCT
flr-13	376	43	,	,	PUNCT
flr-13	376	44	it	it	PRON
flr-13	376	45	is	be	AUX
flr-13	376	46	also	also	ADV
flr-13	376	47	important	important	ADJ
flr-13	376	48	and	and	CCONJ
flr-13	376	49	useful	useful	ADJ
flr-13	376	50	to	to	PART
flr-13	376	51	demonstrate	demonstrate	VERB
flr-13	376	52	that	that	SCONJ
flr-13	376	53	this	this	DET
flr-13	376	54	machine	machine	NOUN
flr-13	376	55	learning	learn	VERB
flr-13	376	56	approach	approach	NOUN
flr-13	376	57	can	can	AUX
flr-13	376	58	be	be	AUX
flr-13	376	59	used	use	VERB
flr-13	376	60	to	to	PART
flr-13	376	61	predict	predict	VERB
flr-13	376	62	individual	individual	ADJ
flr-13	376	63	specific	specific	ADJ
flr-13	376	64	outcomes	outcome	NOUN
flr-13	376	65	(	(	PUNCT
flr-13	376	66	not	not	PART
flr-13	376	67	just	just	ADV
flr-13	376	68	relatively	relatively	ADV
flr-13	376	69	broad	broad	ADJ
flr-13	376	70	performance	performance	NOUN
flr-13	376	71	categories	category	NOUN
flr-13	376	72	)	)	PUNCT
flr-13	376	73	.	.	PUNCT
flr-13	377	1	although	although	SCONJ
flr-13	377	2	these	these	DET
flr-13	377	3	performance	performance	NOUN
flr-13	377	4	categories	category	NOUN
flr-13	377	5	can	can	AUX
flr-13	377	6	be	be	AUX
flr-13	377	7	very	very	ADV
flr-13	377	8	useful	useful	ADJ
flr-13	377	9	,	,	PUNCT
flr-13	377	10	as	as	SCONJ
flr-13	377	11	has	have	AUX
flr-13	377	12	been	be	AUX
flr-13	377	13	indicated	indicate	VERB
flr-13	377	14	for	for	ADP
flr-13	377	15	the	the	DET
flr-13	377	16	identification	identification	NOUN
flr-13	377	17	and	and	CCONJ
flr-13	377	18	possible	possible	ADJ
flr-13	377	19	intervention	intervention	NOUN
flr-13	377	20	in	in	ADP
flr-13	377	21	specific	specific	ADJ
flr-13	377	22	groups	group	NOUN
flr-13	377	23	of	of	ADP
flr-13	377	24	high	high	ADJ
flr-13	377	25	achievers	achiever	NOUN
flr-13	377	26	or	or	CCONJ
flr-13	377	27	low	low	ADJ
flr-13	377	28	achievers	achiever	NOUN
flr-13	377	29	(	(	PUNCT
flr-13	377	30	i.e.	i.e.	X
flr-13	377	31	,	,	PUNCT
flr-13	377	32	learning	learn	VERB
flr-13	377	33	disabilities	disability	NOUN
flr-13	377	34	,	,	PUNCT
flr-13	377	35	non	non	ADJ
flr-13	377	36	-	-	NOUN
flr-13	377	37	readiness	readiness	NOUN
flr-13	377	38	for	for	ADP
flr-13	377	39	some	some	DET
flr-13	377	40	specific	specific	ADJ
flr-13	377	41	task	task	NOUN
flr-13	377	42	such	such	ADJ
flr-13	377	43	as	as	ADP
flr-13	377	44	reading	reading	NOUN
flr-13	377	45	)	)	PUNCT
flr-13	377	46	,	,	PUNCT
flr-13	377	47	and	and	CCONJ
flr-13	377	48	they	they	PRON
flr-13	377	49	can	can	AUX
flr-13	377	50	be	be	AUX
flr-13	377	51	used	use	VERB
flr-13	377	52	very	very	ADV
flr-13	377	53	effectively	effectively	ADV
flr-13	377	54	for	for	ADP
flr-13	377	55	targeted	target	VERB
flr-13	377	56	interventions	intervention	NOUN
flr-13	377	57	in	in	ADP
flr-13	377	58	learning	learn	VERB
flr-13	377	59	situations	situation	NOUN
flr-13	377	60	,	,	PUNCT
flr-13	377	61	it	it	PRON
flr-13	377	62	is	be	AUX
flr-13	377	63	also	also	ADV
flr-13	377	64	important	important	ADJ
flr-13	377	65	to	to	ADP
flr-13	377	66	0	0	NUM
flr-13	377	67	%	%	NOUN
flr-13	377	68	5	5	NUM
flr-13	377	69	%	%	NOUN
flr-13	377	70	10	10	NUM
flr-13	377	71	%	%	NOUN
flr-13	377	72	15	15	NUM
flr-13	377	73	%	%	NOUN
flr-13	377	74	20	20	NUM
flr-13	377	75	%	%	NOUN
flr-13	377	76	25	25	NUM
flr-13	377	77	%	%	NOUN
flr-13	377	78	30	30	NUM
flr-13	377	79	%	%	NOUN
flr-13	377	80	35	35	NUM
flr-13	377	81	%	%	NOUN
flr-13	377	82	40	40	NUM
flr-13	377	83	%	%	NOUN
flr-13	377	84	low	low	ADJ
flr-13	377	85	33	33	NUM
flr-13	377	86	%	%	NOUN
flr-13	377	87	middle	middle	ADJ
flr-13	377	88	33	33	NUM
flr-13	377	89	%	%	NOUN
flr-13	377	90	high	high	ADJ
flr-13	377	91	33	33	NUM
flr-13	377	92	%	%	NOUN
flr-13	377	93	background	background	NOUN
flr-13	377	94	basic	basic	ADJ
flr-13	377	95	cognitive	cognitive	ADJ
flr-13	377	96	reaction	reaction	NOUN
flr-13	377	97	time	time	NOUN
flr-13	377	98	total	total	ADJ
flr-13	377	99	learning	learning	NOUN
flr-13	377	100	strategies	strategy	NOUN
flr-13	377	101	/	/	SYM
flr-13	377	102	motivation	motivation	NOUN
flr-13	377	103	m.	m.	NOUN
flr-13	377	104	f.	f.	PROPN
flr-13	377	105	musso	musso	PROPN
flr-13	377	106	et	et	PROPN
flr-13	377	107	al	al	PROPN
flr-13	377	108	.	.	PROPN
flr-13	378	1	62	62	NUM
flr-13	379	1	|	|	ADV
flr-13	379	2	f	f	NOUN
flr-13	379	3	l	l	NOUN
flr-13	379	4	r	r	NOUN
flr-13	379	5	be	be	AUX
flr-13	379	6	able	able	ADJ
flr-13	379	7	to	to	PART
flr-13	379	8	understand	understand	VERB
flr-13	379	9	the	the	DET
flr-13	379	10	underlying	underlie	VERB
flr-13	379	11	phenomenon	phenomenon	NOUN
flr-13	379	12	at	at	ADP
flr-13	379	13	the	the	DET
flr-13	379	14	individual	individual	ADJ
flr-13	379	15	level	level	NOUN
flr-13	379	16	,	,	PUNCT
flr-13	379	17	considering	consider	VERB
flr-13	379	18	performance	performance	NOUN
flr-13	379	19	a	a	DET
flr-13	379	20	continuous	continuous	ADJ
flr-13	379	21	variable	variable	NOUN
flr-13	379	22	.	.	PUNCT
flr-13	380	1	for	for	ADP
flr-13	380	2	this	this	DET
flr-13	380	3	reason	reason	NOUN
flr-13	380	4	,	,	PUNCT
flr-13	380	5	the	the	DET
flr-13	380	6	predicted	predict	VERB
flr-13	380	7	gpa	gpa	PROPN
flr-13	380	8	-	-	PUNCT
flr-13	380	9	category	category	NOUN
flr-13	380	10	(	(	PUNCT
flr-13	380	11	low	low	ADJ
flr-13	380	12	-	-	PUNCT
flr-13	380	13	middle	middle	ADJ
flr-13	380	14	-	-	PUNCT
flr-13	380	15	high	high	ADJ
flr-13	380	16	)	)	PUNCT
flr-13	380	17	probability	probability	NOUN
flr-13	380	18	values	value	NOUN
flr-13	380	19	assigned	assign	VERB
flr-13	380	20	by	by	ADP
flr-13	380	21	the	the	DET
flr-13	380	22	network	network	NOUN
flr-13	380	23	to	to	ADP
flr-13	380	24	each	each	DET
flr-13	380	25	individual	individual	ADJ
flr-13	380	26	student	student	NOUN
flr-13	380	27	were	be	AUX
flr-13	380	28	used	use	VERB
flr-13	380	29	to	to	PART
flr-13	380	30	analyze	analyze	VERB
flr-13	380	31	their	their	PRON
flr-13	380	32	correlation	correlation	NOUN
flr-13	380	33	with	with	ADP
flr-13	380	34	the	the	DET
flr-13	380	35	observed	observe	VERB
flr-13	380	36	gpa	gpa	NOUN
flr-13	380	37	,	,	PUNCT
flr-13	380	38	as	as	SCONJ
flr-13	380	39	compared	compare	VERB
flr-13	380	40	to	to	ADP
flr-13	380	41	the	the	DET
flr-13	380	42	predicted	predict	VERB
flr-13	380	43	value	value	NOUN
flr-13	380	44	,	,	PUNCT
flr-13	380	45	in	in	ADP
flr-13	380	46	the	the	DET
flr-13	380	47	context	context	NOUN
flr-13	380	48	of	of	ADP
flr-13	380	49	the	the	DET
flr-13	380	50	ann3	ann3	PROPN
flr-13	380	51	model	model	NOUN
flr-13	380	52	,	,	PUNCT
flr-13	380	53	in	in	ADP
flr-13	380	54	which	which	PRON
flr-13	380	55	the	the	DET
flr-13	380	56	whole	whole	ADJ
flr-13	380	57	sample	sample	NOUN
flr-13	380	58	of	of	ADP
flr-13	380	59	students	student	NOUN
flr-13	380	60	was	be	AUX
flr-13	380	61	simultaneously	simultaneously	ADV
flr-13	380	62	classified	classify	VERB
flr-13	380	63	in	in	ADP
flr-13	380	64	the	the	DET
flr-13	380	65	three	three	NUM
flr-13	380	66	levels	level	NOUN
flr-13	380	67	of	of	ADP
flr-13	380	68	expected	expect	VERB
flr-13	380	69	performance	performance	NOUN
flr-13	380	70	.	.	PUNCT
flr-13	381	1	that	that	PRON
flr-13	381	2	is	is	ADV
flr-13	381	3	,	,	PUNCT
flr-13	381	4	the	the	DET
flr-13	381	5	probability	probability	NOUN
flr-13	381	6	value	value	NOUN
flr-13	381	7	for	for	ADP
flr-13	381	8	each	each	DET
flr-13	381	9	student	student	NOUN
flr-13	381	10	of	of	ADP
flr-13	381	11	belonging	belong	VERB
flr-13	381	12	to	to	ADP
flr-13	381	13	a	a	DET
flr-13	381	14	given	give	VERB
flr-13	381	15	category	category	NOUN
flr-13	381	16	(	(	PUNCT
flr-13	381	17	all	all	DET
flr-13	381	18	students	student	NOUN
flr-13	381	19	received	receive	VERB
flr-13	381	20	a	a	DET
flr-13	381	21	certain	certain	ADJ
flr-13	381	22	probability	probability	NOUN
flr-13	381	23	of	of	ADP
flr-13	381	24	belonging	belong	VERB
flr-13	381	25	to	to	ADP
flr-13	381	26	each	each	PRON
flr-13	381	27	of	of	ADP
flr-13	381	28	the	the	DET
flr-13	381	29	outcome	outcome	NOUN
flr-13	381	30	groups	group	NOUN
flr-13	381	31	,	,	PUNCT
flr-13	381	32	as	as	SCONJ
flr-13	381	33	determined	determine	VERB
flr-13	381	34	by	by	ADP
flr-13	381	35	the	the	DET
flr-13	381	36	ann	ann	PROPN
flr-13	381	37	)	)	PUNCT
flr-13	381	38	,	,	PUNCT
flr-13	381	39	was	be	AUX
flr-13	381	40	correlated	correlate	VERB
flr-13	381	41	with	with	ADP
flr-13	381	42	the	the	DET
flr-13	381	43	gpa	gpa	PROPN
flr-13	381	44	actually	actually	ADV
flr-13	381	45	obtained	obtain	VERB
flr-13	381	46	by	by	ADP
flr-13	381	47	each	each	DET
flr-13	381	48	student	student	NOUN
flr-13	381	49	.	.	PUNCT
flr-13	382	1	results	result	NOUN
flr-13	382	2	were	be	AUX
flr-13	382	3	indicative	indicative	ADJ
flr-13	382	4	of	of	ADP
flr-13	382	5	a	a	DET
flr-13	382	6	high	high	ADJ
flr-13	382	7	degree	degree	NOUN
flr-13	382	8	of	of	ADP
flr-13	382	9	correlation	correlation	NOUN
flr-13	382	10	between	between	ADP
flr-13	382	11	those	those	DET
flr-13	382	12	measures	measure	NOUN
flr-13	382	13	.	.	PUNCT
flr-13	383	1	the	the	DET
flr-13	383	2	three	three	NUM
flr-13	383	3	predicted	predict	VERB
flr-13	383	4	groups	group	NOUN
flr-13	383	5	of	of	ADP
flr-13	383	6	low	low	ADJ
flr-13	383	7	,	,	PUNCT
flr-13	383	8	mid	mid	ADJ
flr-13	383	9	,	,	PUNCT
flr-13	383	10	and	and	CCONJ
flr-13	383	11	high	high	ADJ
flr-13	383	12	performance	performance	NOUN
flr-13	383	13	had	have	VERB
flr-13	383	14	an	an	DET
flr-13	383	15	actual	actual	ADJ
flr-13	383	16	observed	observe	VERB
flr-13	383	17	gpa	gpa	PROPN
flr-13	383	18	mean	mean	NOUN
flr-13	383	19	of	of	ADP
flr-13	383	20	3.88	3.88	NUM
flr-13	383	21	(	(	PUNCT
flr-13	383	22	sd	sd	NOUN
flr-13	383	23	=	=	SYM
flr-13	383	24	1.21	1.21	NUM
flr-13	383	25	,	,	PUNCT
flr-13	383	26	n	n	PROPN
flr-13	383	27	=	=	SYM
flr-13	383	28	327	327	NUM
flr-13	383	29	)	)	PUNCT
flr-13	383	30	,	,	PUNCT
flr-13	383	31	5.67	5.67	NUM
flr-13	383	32	(	(	PUNCT
flr-13	383	33	sd	sd	NOUN
flr-13	383	34	=	=	SYM
flr-13	383	35	.33	.33	PROPN
flr-13	383	36	,	,	PUNCT
flr-13	383	37	n	n	PROPN
flr-13	383	38	=	=	SYM
flr-13	383	39	243	243	NUM
flr-13	383	40	)	)	PUNCT
flr-13	383	41	,	,	PUNCT
flr-13	383	42	and	and	CCONJ
flr-13	383	43	7.28	7.28	NUM
flr-13	383	44	(	(	PUNCT
flr-13	383	45	sd	sd	NOUN
flr-13	383	46	=	=	SYM
flr-13	383	47	.78	.78	PROPN
flr-13	383	48	,	,	PUNCT
flr-13	383	49	n	n	X
flr-13	383	50	=	=	NUM
flr-13	383	51	294	294	NUM
flr-13	383	52	)	)	PUNCT
flr-13	383	53	,	,	PUNCT
flr-13	383	54	respectively	respectively	ADV
flr-13	383	55	.	.	PUNCT
flr-13	384	1	all	all	DET
flr-13	384	2	these	these	DET
flr-13	384	3	average	average	ADJ
flr-13	384	4	gpa	gpa	NOUN
flr-13	384	5	means	mean	NOUN
flr-13	384	6	were	be	AUX
flr-13	384	7	significantly	significantly	ADV
flr-13	384	8	different	different	ADJ
flr-13	384	9	from	from	ADP
flr-13	384	10	each	each	DET
flr-13	384	11	other	other	ADJ
flr-13	384	12	(	(	PUNCT
flr-13	384	13	p	p	X
flr-13	384	14	<	<	X
flr-13	384	15	.000	.000	NUM
flr-13	384	16	)	)	PUNCT
flr-13	384	17	.	.	PUNCT
flr-13	385	1	within	within	ADP
flr-13	385	2	each	each	DET
flr-13	385	3	one	one	NUM
flr-13	385	4	of	of	ADP
flr-13	385	5	the	the	DET
flr-13	385	6	performance	performance	NOUN
flr-13	385	7	levels	level	NOUN
flr-13	385	8	,	,	PUNCT
flr-13	385	9	the	the	DET
flr-13	385	10	correlation	correlation	NOUN
flr-13	385	11	of	of	ADP
flr-13	385	12	the	the	DET
flr-13	385	13	ann	ann	PROPN
flr-13	385	14	individual	individual	NOUN
flr-13	385	15	predicted	predict	VERB
flr-13	385	16	value	value	NOUN
flr-13	385	17	with	with	ADP
flr-13	385	18	the	the	DET
flr-13	385	19	actual	actual	ADJ
flr-13	385	20	gpa	gpa	PROPN
flr-13	385	21	was	be	AUX
flr-13	385	22	:	:	PUNCT
flr-13	385	23	low	low	ADJ
flr-13	385	24	33	33	NUM
flr-13	385	25	%	%	NOUN
flr-13	385	26	,	,	PUNCT
flr-13	385	27	r	r	NOUN
flr-13	385	28	=	=	SYM
flr-13	385	29	.78	.78	NUM
flr-13	385	30	;	;	PUNCT
flr-13	385	31	high	high	ADJ
flr-13	385	32	33	33	NUM
flr-13	385	33	%	%	NOUN
flr-13	385	34	,	,	PUNCT
flr-13	385	35	r	r	NOUN
flr-13	385	36	=	=	SYM
flr-13	385	37	.73	.73	NUM
flr-13	385	38	,	,	PUNCT
flr-13	385	39	and	and	CCONJ
flr-13	385	40	for	for	ADP
flr-13	385	41	the	the	DET
flr-13	385	42	whole	whole	ADJ
flr-13	385	43	sample	sample	NOUN
flr-13	385	44	of	of	ADP
flr-13	385	45	students	student	NOUN
flr-13	385	46	,	,	PUNCT
flr-13	385	47	at	at	ADP
flr-13	385	48	all	all	DET
flr-13	385	49	three	three	NUM
flr-13	385	50	levels	level	NOUN
flr-13	385	51	,	,	PUNCT
flr-13	385	52	the	the	DET
flr-13	385	53	correlation	correlation	NOUN
flr-13	385	54	of	of	ADP
flr-13	385	55	the	the	DET
flr-13	385	56	ann	ann	PROPN
flr-13	385	57	predicted	predict	VERB
flr-13	385	58	values	value	NOUN
flr-13	385	59	with	with	ADP
flr-13	385	60	the	the	DET
flr-13	385	61	observed	observe	VERB
flr-13	385	62	gpa	gpa	PROPN
flr-13	385	63	was	be	AUX
flr-13	385	64	r	r	NOUN
flr-13	385	65	=	=	SYM
flr-13	385	66	.86	.86	NUM
flr-13	385	67	.	.	PUNCT
flr-13	386	1	further	further	ADJ
flr-13	386	2	studies	study	NOUN
flr-13	386	3	will	will	AUX
flr-13	386	4	continue	continue	VERB
flr-13	386	5	to	to	PART
flr-13	386	6	explore	explore	VERB
flr-13	386	7	these	these	DET
flr-13	386	8	individual	individual	ADJ
flr-13	386	9	relationships	relationship	NOUN
flr-13	386	10	,	,	PUNCT
flr-13	386	11	but	but	CCONJ
flr-13	386	12	as	as	SCONJ
flr-13	386	13	they	they	PRON
flr-13	386	14	are	be	AUX
flr-13	386	15	,	,	PUNCT
flr-13	386	16	they	they	PRON
flr-13	386	17	confirm	confirm	VERB
flr-13	386	18	a	a	DET
flr-13	386	19	high	high	ADJ
flr-13	386	20	level	level	NOUN
flr-13	386	21	of	of	ADP
flr-13	386	22	correlation	correlation	NOUN
flr-13	386	23	between	between	ADP
flr-13	386	24	the	the	DET
flr-13	386	25	actual	actual	ADJ
flr-13	386	26	gpa	gpa	PROPN
flr-13	386	27	and	and	CCONJ
flr-13	386	28	the	the	DET
flr-13	386	29	expected	expect	VERB
flr-13	386	30	values	value	NOUN
flr-13	386	31	assigned	assign	VERB
flr-13	386	32	by	by	ADP
flr-13	386	33	the	the	DET
flr-13	386	34	ann	ann	PROPN
flr-13	386	35	.	.	PROPN
flr-13	387	1	4.6	4.6	NUM
flr-13	387	2	discriminant	discriminant	NOUN
flr-13	387	3	analyses	analysis	NOUN
flr-13	387	4	(	(	PUNCT
flr-13	387	5	da	da	X
flr-13	387	6	)	)	PUNCT
flr-13	387	7	da1	da1	PROPN
flr-13	387	8	focused	focus	VERB
flr-13	387	9	on	on	ADP
flr-13	387	10	the	the	DET
flr-13	387	11	attempted	attempt	VERB
flr-13	387	12	predictive	predictive	ADJ
flr-13	387	13	classification	classification	NOUN
flr-13	387	14	of	of	ADP
flr-13	387	15	students	student	NOUN
flr-13	387	16	expected	expect	VERB
flr-13	387	17	to	to	PART
flr-13	387	18	be	be	AUX
flr-13	387	19	in	in	ADP
flr-13	387	20	the	the	DET
flr-13	387	21	lowest	low	ADJ
flr-13	387	22	33	33	NUM
flr-13	387	23	%	%	NOUN
flr-13	387	24	of	of	ADP
flr-13	387	25	gpa	gpa	PROPN
flr-13	387	26	average	average	NOUN
flr-13	387	27	,	,	PUNCT
flr-13	387	28	compared	compare	VERB
flr-13	387	29	to	to	ADP
flr-13	387	30	the	the	DET
flr-13	387	31	rest	rest	NOUN
flr-13	387	32	of	of	ADP
flr-13	387	33	the	the	DET
flr-13	387	34	students	student	NOUN
flr-13	387	35	.	.	PUNCT
flr-13	388	1	one	one	NUM
flr-13	388	2	of	of	ADP
flr-13	388	3	the	the	DET
flr-13	388	4	restrictions	restriction	NOUN
flr-13	388	5	of	of	ADP
flr-13	388	6	this	this	DET
flr-13	388	7	analysis	analysis	NOUN
flr-13	388	8	has	have	VERB
flr-13	388	9	to	to	PART
flr-13	388	10	do	do	VERB
flr-13	388	11	with	with	ADP
flr-13	388	12	the	the	DET
flr-13	388	13	assumption	assumption	NOUN
flr-13	388	14	of	of	ADP
flr-13	388	15	equality	equality	NOUN
flr-13	388	16	of	of	ADP
flr-13	388	17	covariance	covariance	NOUN
flr-13	388	18	matrices	matrix	NOUN
flr-13	388	19	that	that	PRON
flr-13	388	20	,	,	PUNCT
flr-13	388	21	in	in	ADP
flr-13	388	22	this	this	DET
flr-13	388	23	case	case	NOUN
flr-13	388	24	,	,	PUNCT
flr-13	388	25	is	be	AUX
flr-13	388	26	not	not	PART
flr-13	388	27	violated	violate	VERB
flr-13	388	28	(	(	PUNCT
flr-13	388	29	box‟s	box‟s	X
flr-13	388	30	m	m	VERB
flr-13	388	31	=	=	NOUN
flr-13	388	32	5.253	5.253	NUM
flr-13	388	33	,	,	PUNCT
flr-13	388	34	f	f	PROPN
flr-13	388	35	=	=	SYM
flr-13	388	36	.871	.871	NUM
flr-13	388	37	,	,	PUNCT
flr-13	388	38	p=	p=	NOUN
flr-13	388	39	.515	.515	NUM
flr-13	388	40	)	)	PUNCT
flr-13	388	41	.	.	PUNCT
flr-13	389	1	gender	gender	NOUN
flr-13	389	2	,	,	PUNCT
flr-13	389	3	wmc	wmc	PROPN
flr-13	389	4	and	and	CCONJ
flr-13	389	5	cognitive	cognitive	ADJ
flr-13	389	6	resources	resource	NOUN
flr-13	389	7	/	/	SYM
flr-13	389	8	learning	learn	VERB
flr-13	389	9	strategies	strategy	NOUN
flr-13	389	10	,	,	PUNCT
flr-13	389	11	were	be	AUX
flr-13	389	12	able	able	ADJ
flr-13	389	13	to	to	PART
flr-13	389	14	discriminate	discriminate	VERB
flr-13	389	15	between	between	ADP
flr-13	389	16	the	the	DET
flr-13	389	17	two	two	NUM
flr-13	389	18	groups	group	NOUN
flr-13	389	19	of	of	ADP
flr-13	389	20	students	student	NOUN
flr-13	389	21	,	,	PUNCT
flr-13	389	22	but	but	CCONJ
flr-13	389	23	not	not	PART
flr-13	389	24	the	the	DET
flr-13	389	25	rest	rest	NOUN
flr-13	389	26	of	of	ADP
flr-13	389	27	the	the	DET
flr-13	389	28	variables	variable	NOUN
flr-13	389	29	,	,	PUNCT
flr-13	389	30	that	that	PRON
flr-13	389	31	were	be	AUX
flr-13	389	32	included	include	VERB
flr-13	389	33	in	in	ADP
flr-13	389	34	the	the	DET
flr-13	389	35	ann1	ann1	PROPN
flr-13	389	36	.	.	PUNCT
flr-13	390	1	the	the	DET
flr-13	390	2	squared	square	VERB
flr-13	390	3	canonical	canonical	ADJ
flr-13	390	4	correlation	correlation	NOUN
flr-13	390	5	(	(	PUNCT
flr-13	390	6	cr²	cr²	NOUN
flr-13	390	7	)	)	PUNCT
flr-13	390	8	gives	give	VERB
flr-13	390	9	the	the	DET
flr-13	390	10	amount	amount	NOUN
flr-13	390	11	of	of	ADP
flr-13	390	12	variation	variation	NOUN
flr-13	390	13	between	between	ADP
flr-13	390	14	the	the	DET
flr-13	390	15	groups	group	NOUN
flr-13	390	16	that	that	PRON
flr-13	390	17	is	be	AUX
flr-13	390	18	explained	explain	VERB
flr-13	390	19	by	by	ADP
flr-13	390	20	the	the	DET
flr-13	390	21	discriminating	discriminating	ADJ
flr-13	390	22	variables	variable	NOUN
flr-13	390	23	,	,	PUNCT
flr-13	390	24	which	which	PRON
flr-13	390	25	in	in	ADP
flr-13	390	26	this	this	DET
flr-13	390	27	case	case	NOUN
flr-13	390	28	was	be	AUX
flr-13	390	29	quite	quite	ADV
flr-13	390	30	low	low	ADJ
flr-13	390	31	(	(	PUNCT
flr-13	390	32	wilk‟s	wilk‟s	X
flr-13	390	33	λ	λ	X
flr-13	390	34	=	=	NOUN
flr-13	390	35	.896	.896	NUM
flr-13	390	36	,	,	PUNCT
flr-13	390	37	χ²	χ²	NOUN
flr-13	390	38	=	=	SYM
flr-13	390	39	84.786	84.786	NUM
flr-13	390	40	,	,	PUNCT
flr-13	390	41	df	df	PROPN
flr-13	390	42	=	=	SYM
flr-13	390	43	3	3	NUM
flr-13	390	44	,	,	PUNCT
flr-13	390	45	p	p	NOUN
flr-13	390	46	=	=	SYM
flr-13	390	47	.001	.001	NUM
flr-13	390	48	,	,	PUNCT
flr-13	390	49	cr²	cr²	NOUN
flr-13	390	50	=	=	SYM
flr-13	390	51	.323	.323	NUM
flr-13	390	52	)	)	PUNCT
flr-13	390	53	.	.	PUNCT
flr-13	391	1	da2	da2	PROPN
flr-13	391	2	was	be	AUX
flr-13	391	3	carried	carry	VERB
flr-13	391	4	out	out	ADP
flr-13	391	5	to	to	PART
flr-13	391	6	attempt	attempt	VERB
flr-13	391	7	to	to	PART
flr-13	391	8	discriminate	discriminate	VERB
flr-13	391	9	between	between	ADP
flr-13	391	10	students	student	NOUN
flr-13	391	11	expected	expect	VERB
flr-13	391	12	to	to	PART
flr-13	391	13	be	be	AUX
flr-13	391	14	in	in	ADP
flr-13	391	15	the	the	DET
flr-13	391	16	highest	high	ADJ
flr-13	391	17	33	33	NUM
flr-13	391	18	%	%	NOUN
flr-13	391	19	of	of	ADP
flr-13	391	20	gpa	gpa	PROPN
flr-13	391	21	average	average	NOUN
flr-13	391	22	,	,	PUNCT
flr-13	391	23	compared	compare	VERB
flr-13	391	24	to	to	ADP
flr-13	391	25	the	the	DET
flr-13	391	26	67	67	NUM
flr-13	391	27	%	%	NOUN
flr-13	391	28	of	of	ADP
flr-13	391	29	the	the	DET
flr-13	391	30	rest	rest	NOUN
flr-13	391	31	of	of	ADP
flr-13	391	32	the	the	DET
flr-13	391	33	students	student	NOUN
flr-13	391	34	.	.	PUNCT
flr-13	392	1	the	the	DET
flr-13	392	2	same	same	ADJ
flr-13	392	3	independent	independent	ADJ
flr-13	392	4	variables	variable	NOUN
flr-13	392	5	that	that	PRON
flr-13	392	6	were	be	AUX
flr-13	392	7	used	use	VERB
flr-13	392	8	in	in	ADP
flr-13	392	9	the	the	DET
flr-13	392	10	ann2	ann2	NOUN
flr-13	392	11	were	be	AUX
flr-13	392	12	entered	enter	VERB
flr-13	392	13	in	in	ADP
flr-13	392	14	this	this	DET
flr-13	392	15	analysis	analysis	NOUN
flr-13	392	16	.	.	PUNCT
flr-13	393	1	results	result	NOUN
flr-13	393	2	show	show	VERB
flr-13	393	3	that	that	SCONJ
flr-13	393	4	the	the	DET
flr-13	393	5	independent	independent	ADJ
flr-13	393	6	variables	variable	NOUN
flr-13	393	7	were	be	AUX
flr-13	393	8	not	not	PART
flr-13	393	9	able	able	ADJ
flr-13	393	10	to	to	PART
flr-13	393	11	discriminate	discriminate	VERB
flr-13	393	12	between	between	ADP
flr-13	393	13	both	both	DET
flr-13	393	14	groups	group	NOUN
flr-13	393	15	of	of	ADP
flr-13	393	16	students	student	NOUN
flr-13	393	17	.	.	PUNCT
flr-13	394	1	the	the	DET
flr-13	394	2	box‟s	box‟s	NUM
flr-13	394	3	m	m	NOUN
flr-13	394	4	statistic	statistic	NOUN
flr-13	394	5	is	be	AUX
flr-13	394	6	not	not	PART
flr-13	394	7	significant	significant	ADJ
flr-13	394	8	(	(	PUNCT
flr-13	394	9	box‟s	box‟s	NUM
flr-13	394	10	m	m	VERB
flr-13	394	11	=	=	NOUN
flr-13	394	12	11.813	11.813	NUM
flr-13	394	13	,	,	PUNCT
flr-13	394	14	f	f	PROPN
flr-13	394	15	=	=	SYM
flr-13	394	16	.781	.781	NUM
flr-13	394	17	,	,	PUNCT
flr-13	394	18	p	p	X
flr-13	394	19	=	=	NOUN
flr-13	394	20	.700	.700	NUM
flr-13	394	21	)	)	PUNCT
flr-13	394	22	,	,	PUNCT
flr-13	394	23	meaning	mean	VERB
flr-13	394	24	that	that	SCONJ
flr-13	394	25	the	the	DET
flr-13	394	26	assumption	assumption	NOUN
flr-13	394	27	of	of	ADP
flr-13	394	28	equality	equality	NOUN
flr-13	394	29	of	of	ADP
flr-13	394	30	covariance	covariance	NOUN
flr-13	394	31	matrices	matrix	NOUN
flr-13	394	32	is	be	AUX
flr-13	394	33	not	not	PART
flr-13	394	34	violated	violate	VERB
flr-13	394	35	.	.	PUNCT
flr-13	395	1	in	in	ADP
flr-13	395	2	this	this	DET
flr-13	395	3	analysis	analysis	NOUN
flr-13	395	4	the	the	DET
flr-13	395	5	squared	squared	ADJ
flr-13	395	6	canonical	canonical	ADJ
flr-13	395	7	correlation	correlation	NOUN
flr-13	395	8	indicated	indicate	VERB
flr-13	395	9	that	that	SCONJ
flr-13	395	10	the	the	DET
flr-13	395	11	strength	strength	NOUN
flr-13	395	12	of	of	ADP
flr-13	395	13	the	the	DET
flr-13	395	14	function	function	NOUN
flr-13	395	15	is	be	AUX
flr-13	395	16	very	very	ADV
flr-13	395	17	low	low	ADJ
flr-13	395	18	(	(	PUNCT
flr-13	395	19	wilk‟s	wilk‟s	X
flr-13	395	20	λ	λ	X
flr-13	395	21	=	=	SYM
flr-13	395	22	.926	.926	NUM
flr-13	395	23	,	,	PUNCT
flr-13	395	24	χ²	χ²	NOUN
flr-13	395	25	=	=	PUNCT
flr-13	395	26	58.694	58.694	NUM
flr-13	395	27	,	,	PUNCT
flr-13	395	28	df	df	PROPN
flr-13	395	29	=	=	SYM
flr-13	395	30	5	5	NUM
flr-13	395	31	,	,	PUNCT
flr-13	395	32	p	p	NOUN
flr-13	395	33	=	=	PROPN
flr-13	395	34	.001	.001	NUM
flr-13	395	35	,	,	PUNCT
flr-13	395	36	cr²	cr²	NOUN
flr-13	395	37	=	=	PUNCT
flr-13	395	38	.271	.271	NUM
flr-13	395	39	)	)	PUNCT
flr-13	395	40	.	.	PUNCT
flr-13	396	1	only	only	ADV
flr-13	396	2	gender	gender	NOUN
flr-13	396	3	,	,	PUNCT
flr-13	396	4	highest	high	ADJ
flr-13	396	5	level	level	NOUN
flr-13	396	6	of	of	ADP
flr-13	396	7	education	education	NOUN
flr-13	396	8	of	of	ADP
flr-13	396	9	the	the	DET
flr-13	396	10	father	father	NOUN
flr-13	396	11	,	,	PUNCT
flr-13	396	12	wmc	wmc	PROPN
flr-13	396	13	,	,	PUNCT
flr-13	396	14	and	and	CCONJ
flr-13	396	15	cognitive	cognitive	ADJ
flr-13	396	16	resources	resource	NOUN
flr-13	396	17	,	,	PUNCT
flr-13	396	18	and	and	CCONJ
flr-13	396	19	time	time	NOUN
flr-13	396	20	management	management	NOUN
flr-13	396	21	among	among	ADP
flr-13	396	22	the	the	DET
flr-13	396	23	learning	learning	NOUN
flr-13	396	24	strategies	strategy	NOUN
flr-13	396	25	set	set	VERB
flr-13	396	26	,	,	PUNCT
flr-13	396	27	were	be	AUX
flr-13	396	28	variables	variable	NOUN
flr-13	396	29	that	that	PRON
flr-13	396	30	entered	enter	VERB
flr-13	396	31	significantly	significantly	ADV
flr-13	396	32	in	in	ADP
flr-13	396	33	this	this	DET
flr-13	396	34	model	model	NOUN
flr-13	396	35	.	.	PUNCT
flr-13	397	1	da3	da3	PROPN
flr-13	397	2	was	be	AUX
flr-13	397	3	carried	carry	VERB
flr-13	397	4	out	out	ADP
flr-13	397	5	with	with	ADP
flr-13	397	6	the	the	DET
flr-13	397	7	same	same	ADJ
flr-13	397	8	variables	variable	NOUN
flr-13	397	9	as	as	ADP
flr-13	397	10	those	those	PRON
flr-13	397	11	used	use	VERB
flr-13	397	12	to	to	PART
flr-13	397	13	develop	develop	VERB
flr-13	397	14	ann3	ann3	NOUN
flr-13	397	15	,	,	PUNCT
flr-13	397	16	in	in	ADP
flr-13	397	17	order	order	NOUN
flr-13	397	18	to	to	PART
flr-13	397	19	predict	predict	VERB
flr-13	397	20	the	the	DET
flr-13	397	21	expected	expect	VERB
flr-13	397	22	gpa	gpa	PROPN
flr-13	397	23	performance	performance	NOUN
flr-13	397	24	level	level	NOUN
flr-13	397	25	of	of	ADP
flr-13	397	26	the	the	DET
flr-13	397	27	three	three	NUM
flr-13	397	28	groups	group	NOUN
flr-13	397	29	of	of	ADP
flr-13	397	30	academic	academic	ADJ
flr-13	397	31	performance	performance	NOUN
flr-13	397	32	simultaneously	simultaneously	ADV
flr-13	397	33	.	.	PUNCT
flr-13	398	1	the	the	DET
flr-13	398	2	assumption	assumption	NOUN
flr-13	398	3	of	of	ADP
flr-13	398	4	equality	equality	NOUN
flr-13	398	5	of	of	ADP
flr-13	398	6	covariance	covariance	NOUN
flr-13	398	7	matrices	matrix	NOUN
flr-13	398	8	was	be	AUX
flr-13	398	9	not	not	PART
flr-13	398	10	violated	violate	VERB
flr-13	398	11	(	(	PUNCT
flr-13	398	12	box‟s	box‟s	X
flr-13	398	13	m	m	VERB
flr-13	398	14	=	=	SYM
flr-13	398	15	7.522	7.522	NUM
flr-13	398	16	,	,	PUNCT
flr-13	398	17	f	f	PROPN
flr-13	398	18	=	=	PUNCT
flr-13	398	19	.623	.623	NUM
flr-13	398	20	,	,	PUNCT
flr-13	398	21	p	p	X
flr-13	398	22	=	=	NOUN
flr-13	398	23	.824	.824	NUM
flr-13	398	24	)	)	PUNCT
flr-13	398	25	.	.	PUNCT
flr-13	399	1	in	in	ADP
flr-13	399	2	this	this	DET
flr-13	399	3	case	case	NOUN
flr-13	399	4	,	,	PUNCT
flr-13	399	5	only	only	ADV
flr-13	399	6	gender	gender	NOUN
flr-13	399	7	,	,	PUNCT
flr-13	399	8	cognitive	cognitive	ADJ
flr-13	399	9	resources	resource	NOUN
flr-13	399	10	within	within	ADP
flr-13	399	11	the	the	DET
flr-13	399	12	learning	learning	NOUN
flr-13	399	13	strategies	strategy	NOUN
flr-13	399	14	set	set	VERB
flr-13	399	15	and	and	CCONJ
flr-13	399	16	wmc	wmc	PROPN
flr-13	399	17	were	be	AUX
flr-13	399	18	significant	significant	ADJ
flr-13	399	19	for	for	ADP
flr-13	399	20	the	the	DET
flr-13	399	21	model	model	NOUN
flr-13	399	22	,	,	PUNCT
flr-13	399	23	and	and	CCONJ
flr-13	399	24	participated	participate	VERB
flr-13	399	25	in	in	ADP
flr-13	399	26	the	the	DET
flr-13	399	27	discrimination	discrimination	NOUN
flr-13	399	28	between	between	ADP
flr-13	399	29	the	the	DET
flr-13	399	30	students	student	NOUN
flr-13	399	31	in	in	ADP
flr-13	399	32	the	the	DET
flr-13	399	33	three	three	NUM
flr-13	399	34	groups	group	NOUN
flr-13	399	35	.	.	PUNCT
flr-13	400	1	but	but	CCONJ
flr-13	400	2	the	the	DET
flr-13	400	3	model	model	NOUN
flr-13	400	4	explained	explain	VERB
flr-13	400	5	a	a	DET
flr-13	400	6	very	very	ADV
flr-13	400	7	low	low	ADJ
flr-13	400	8	and	and	CCONJ
flr-13	400	9	non	non	ADJ
flr-13	400	10	-	-	ADJ
flr-13	400	11	significant	significant	ADJ
flr-13	400	12	proportion	proportion	NOUN
flr-13	400	13	of	of	ADP
flr-13	400	14	the	the	DET
flr-13	400	15	variance	variance	NOUN
flr-13	400	16	(	(	PUNCT
flr-13	400	17	wilk‟s	wilk‟s	X
flr-13	400	18	λ	λ	X
flr-13	400	19	=	=	SYM
flr-13	400	20	.998	.998	NUM
flr-13	400	21	,	,	PUNCT
flr-13	400	22	χ²	χ²	NOUN
flr-13	400	23	=	=	NOUN
flr-13	400	24	1.791	1.791	NUM
flr-13	400	25	,	,	PUNCT
flr-13	400	26	df	df	PROPN
flr-13	400	27	=	=	SYM
flr-13	400	28	2	2	NUM
flr-13	400	29	,	,	PUNCT
flr-13	400	30	p	p	NOUN
flr-13	400	31	=	=	SYM
flr-13	400	32	.408	.408	NUM
flr-13	400	33	,	,	PUNCT
flr-13	400	34	cr²	cr²	NOUN
flr-13	400	35	=	=	PUNCT
flr-13	400	36	.048	.048	NUM
flr-13	400	37	)	)	PUNCT
flr-13	400	38	.	.	PUNCT
flr-13	401	1	m.	m.	PROPN
flr-13	401	2	f.	f.	PROPN
flr-13	401	3	musso	musso	PROPN
flr-13	401	4	et	et	PROPN
flr-13	401	5	al	al	PROPN
flr-13	401	6	.	.	PROPN
flr-13	401	7	63	63	NUM
flr-13	402	1	|	|	ADV
flr-13	402	2	f	f	NOUN
flr-13	402	3	l	l	NOUN
flr-13	402	4	r	r	NOUN
flr-13	402	5	5	5	NUM
flr-13	402	6	.	.	PUNCT
flr-13	402	7	discussion	discussion	NOUN
flr-13	402	8	and	and	CCONJ
flr-13	402	9	conclusions	conclusion	NOUN
flr-13	402	10	the	the	DET
flr-13	402	11	purpose	purpose	NOUN
flr-13	402	12	of	of	ADP
flr-13	402	13	this	this	DET
flr-13	402	14	study	study	NOUN
flr-13	402	15	was	be	AUX
flr-13	402	16	to	to	PART
flr-13	402	17	show	show	VERB
flr-13	402	18	the	the	DET
flr-13	402	19	applicability	applicability	NOUN
flr-13	402	20	and	and	CCONJ
flr-13	402	21	the	the	DET
flr-13	402	22	effectiveness	effectiveness	NOUN
flr-13	402	23	of	of	ADP
flr-13	402	24	the	the	DET
flr-13	402	25	ann	ann	PROPN
flr-13	402	26	approach	approach	NOUN
flr-13	402	27	to	to	ADP
flr-13	402	28	the	the	DET
flr-13	402	29	predictive	predictive	ADJ
flr-13	402	30	classification	classification	NOUN
flr-13	402	31	of	of	ADP
flr-13	402	32	students	student	NOUN
flr-13	402	33	in	in	ADP
flr-13	402	34	the	the	DET
flr-13	402	35	full	full	ADJ
flr-13	402	36	range	range	NOUN
flr-13	402	37	of	of	ADP
flr-13	402	38	academic	academic	ADJ
flr-13	402	39	performance	performance	NOUN
flr-13	402	40	(	(	PUNCT
flr-13	402	41	gpa	gpa	PROPN
flr-13	402	42	)	)	PUNCT
flr-13	402	43	,	,	PUNCT
flr-13	402	44	as	as	ADV
flr-13	402	45	well	well	ADV
flr-13	402	46	as	as	ADP
flr-13	402	47	to	to	PART
flr-13	402	48	identify	identify	VERB
flr-13	402	49	and	and	CCONJ
flr-13	402	50	understand	understand	VERB
flr-13	402	51	the	the	DET
flr-13	402	52	importance	importance	NOUN
flr-13	402	53	of	of	ADP
flr-13	402	54	the	the	DET
flr-13	402	55	variables	variable	NOUN
flr-13	402	56	for	for	ADP
flr-13	402	57	each	each	DET
flr-13	402	58	level	level	NOUN
flr-13	402	59	(	(	PUNCT
flr-13	402	60	low	low	ADJ
flr-13	402	61	,	,	PUNCT
flr-13	402	62	middle	middle	ADJ
flr-13	402	63	and	and	CCONJ
flr-13	402	64	high	high	ADJ
flr-13	402	65	)	)	PUNCT
flr-13	402	66	of	of	ADP
flr-13	402	67	expected	expect	VERB
flr-13	402	68	gpa	gpa	NOUN
flr-13	402	69	.	.	PUNCT
flr-13	403	1	this	this	DET
flr-13	403	2	methodology	methodology	NOUN
flr-13	403	3	,	,	PUNCT
flr-13	403	4	using	use	VERB
flr-13	403	5	a	a	DET
flr-13	403	6	predictive	predictive	ADJ
flr-13	403	7	system	system	NOUN
flr-13	403	8	,	,	PUNCT
flr-13	403	9	was	be	AUX
flr-13	403	10	chosen	choose	VERB
flr-13	403	11	as	as	SCONJ
flr-13	403	12	it	it	PRON
flr-13	403	13	is	be	AUX
flr-13	403	14	very	very	ADV
flr-13	403	15	effective	effective	ADJ
flr-13	403	16	under	under	ADP
flr-13	403	17	conditions	condition	NOUN
flr-13	403	18	of	of	ADP
flr-13	403	19	very	very	ADV
flr-13	403	20	complex	complex	ADJ
flr-13	403	21	and	and	CCONJ
flr-13	403	22	great	great	ADJ
flr-13	403	23	amount	amount	NOUN
flr-13	403	24	of	of	ADP
flr-13	403	25	data	datum	NOUN
flr-13	403	26	,	,	PUNCT
flr-13	403	27	in	in	ADP
flr-13	403	28	which	which	PRON
flr-13	403	29	a	a	DET
flr-13	403	30	large	large	ADJ
flr-13	403	31	number	number	NOUN
flr-13	403	32	of	of	ADP
flr-13	403	33	variables	variable	NOUN
flr-13	403	34	interact	interact	VERB
flr-13	403	35	in	in	ADP
flr-13	403	36	various	various	ADJ
flr-13	403	37	complex	complex	NOUN
flr-13	403	38	and	and	CCONJ
flr-13	403	39	not	not	PART
flr-13	403	40	very	very	ADV
flr-13	403	41	well	well	ADV
flr-13	403	42	understood	understand	VERB
flr-13	403	43	patterns	pattern	NOUN
flr-13	403	44	.	.	PUNCT
flr-13	404	1	the	the	DET
flr-13	404	2	results	result	NOUN
flr-13	404	3	attained	attain	VERB
flr-13	404	4	in	in	ADP
flr-13	404	5	this	this	DET
flr-13	404	6	study	study	NOUN
flr-13	404	7	have	have	AUX
flr-13	404	8	allowed	allow	VERB
flr-13	404	9	the	the	DET
flr-13	404	10	identification	identification	NOUN
flr-13	404	11	of	of	ADP
flr-13	404	12	the	the	DET
flr-13	404	13	specific	specific	ADJ
flr-13	404	14	influence	influence	NOUN
flr-13	404	15	of	of	ADP
flr-13	404	16	each	each	DET
flr-13	404	17	input	input	NOUN
flr-13	404	18	set	set	NOUN
flr-13	404	19	of	of	ADP
flr-13	404	20	variables	variable	NOUN
flr-13	404	21	on	on	ADP
flr-13	404	22	different	different	ADJ
flr-13	404	23	levels	level	NOUN
flr-13	404	24	of	of	ADP
flr-13	404	25	academic	academic	ADJ
flr-13	404	26	performance	performance	NOUN
flr-13	404	27	(	(	PUNCT
flr-13	404	28	high	high	ADJ
flr-13	404	29	and	and	CCONJ
flr-13	404	30	low	low	ADJ
flr-13	404	31	performance	performance	NOUN
flr-13	404	32	)	)	PUNCT
flr-13	404	33	,	,	PUNCT
flr-13	404	34	on	on	ADP
flr-13	404	35	one	one	NUM
flr-13	404	36	hand	hand	NOUN
flr-13	404	37	,	,	PUNCT
flr-13	404	38	and	and	CCONJ
flr-13	404	39	common	common	ADJ
flr-13	404	40	processes	process	NOUN
flr-13	404	41	across	across	ADP
flr-13	404	42	all	all	DET
flr-13	404	43	students	student	NOUN
flr-13	404	44	,	,	PUNCT
flr-13	404	45	on	on	ADP
flr-13	404	46	the	the	DET
flr-13	404	47	other	other	ADJ
flr-13	404	48	hand	hand	NOUN
flr-13	404	49	.	.	PUNCT
flr-13	405	1	one	one	NUM
flr-13	405	2	important	important	ADJ
flr-13	405	3	contribution	contribution	NOUN
flr-13	405	4	of	of	ADP
flr-13	405	5	this	this	DET
flr-13	405	6	predictive	predictive	ADJ
flr-13	405	7	approach	approach	NOUN
flr-13	405	8	is	be	AUX
flr-13	405	9	the	the	DET
flr-13	405	10	finding	finding	NOUN
flr-13	405	11	that	that	SCONJ
flr-13	405	12	the	the	DET
flr-13	405	13	same	same	ADJ
flr-13	405	14	variables	variable	NOUN
flr-13	405	15	have	have	AUX
flr-13	405	16	different	different	ADJ
flr-13	405	17	effects	effect	NOUN
flr-13	405	18	in	in	ADP
flr-13	405	19	each	each	DET
flr-13	405	20	group	group	NOUN
flr-13	405	21	of	of	ADP
flr-13	405	22	students	student	NOUN
flr-13	405	23	,	,	PUNCT
flr-13	405	24	defining	define	VERB
flr-13	405	25	specific	specific	ADJ
flr-13	405	26	patterns	pattern	NOUN
flr-13	405	27	for	for	ADP
flr-13	405	28	each	each	DET
flr-13	405	29	performance	performance	NOUN
flr-13	405	30	level	level	NOUN
flr-13	405	31	.	.	PUNCT
flr-13	406	1	although	although	SCONJ
flr-13	406	2	the	the	DET
flr-13	406	3	contribution	contribution	NOUN
flr-13	406	4	of	of	ADP
flr-13	406	5	each	each	DET
flr-13	406	6	variable	variable	NOUN
flr-13	406	7	in	in	ADP
flr-13	406	8	a	a	DET
flr-13	406	9	particular	particular	ADJ
flr-13	406	10	pattern	pattern	NOUN
flr-13	406	11	carries	carry	VERB
flr-13	406	12	a	a	DET
flr-13	406	13	relatively	relatively	ADV
flr-13	406	14	small	small	ADJ
flr-13	406	15	predictive	predictive	ADJ
flr-13	406	16	weight	weight	NOUN
flr-13	406	17	,	,	PUNCT
flr-13	406	18	it	it	PRON
flr-13	406	19	is	be	AUX
flr-13	406	20	the	the	DET
flr-13	406	21	combined	combined	ADJ
flr-13	406	22	effect	effect	NOUN
flr-13	406	23	of	of	ADP
flr-13	406	24	the	the	DET
flr-13	406	25	pattern	pattern	NOUN
flr-13	406	26	of	of	ADP
flr-13	406	27	variables	variable	NOUN
flr-13	406	28	which	which	PRON
flr-13	406	29	explains	explain	VERB
flr-13	406	30	a	a	DET
flr-13	406	31	lower	low	ADJ
flr-13	406	32	or	or	CCONJ
flr-13	406	33	higher	high	ADJ
flr-13	406	34	academic	academic	ADJ
flr-13	406	35	performance	performance	NOUN
flr-13	406	36	model	model	NOUN
flr-13	406	37	.	.	PUNCT
flr-13	407	1	among	among	ADP
flr-13	407	2	the	the	DET
flr-13	407	3	student	student	NOUN
flr-13	407	4	group	group	NOUN
flr-13	407	5	with	with	ADP
flr-13	407	6	the	the	DET
flr-13	407	7	lowest	low	ADJ
flr-13	407	8	33	33	NUM
flr-13	407	9	%	%	NOUN
flr-13	407	10	of	of	ADP
flr-13	407	11	academic	academic	ADJ
flr-13	407	12	performance	performance	NOUN
flr-13	407	13	,	,	PUNCT
flr-13	407	14	two	two	NUM
flr-13	407	15	main	main	ADJ
flr-13	407	16	predictors	predictor	NOUN
flr-13	407	17	are	be	AUX
flr-13	407	18	learning	learn	VERB
flr-13	407	19	strategies	strategy	NOUN
flr-13	407	20	components	component	NOUN
flr-13	407	21	(	(	PUNCT
flr-13	407	22	cognitive	cognitive	ADJ
flr-13	407	23	resources	resource	NOUN
flr-13	407	24	/	/	SYM
flr-13	407	25	cognitive	cognitive	ADJ
flr-13	407	26	processing	processing	NOUN
flr-13	407	27	and	and	CCONJ
flr-13	407	28	time	time	NOUN
flr-13	407	29	management	management	NOUN
flr-13	407	30	)	)	PUNCT
flr-13	407	31	.	.	PUNCT
flr-13	408	1	the	the	DET
flr-13	408	2	importance	importance	NOUN
flr-13	408	3	of	of	ADP
flr-13	408	4	learning	learn	VERB
flr-13	408	5	strategies	strategy	NOUN
flr-13	408	6	as	as	ADP
flr-13	408	7	a	a	DET
flr-13	408	8	mediating	mediate	VERB
flr-13	408	9	factor	factor	NOUN
flr-13	408	10	in	in	ADP
flr-13	408	11	a	a	DET
flr-13	408	12	model	model	NOUN
flr-13	408	13	predicting	predict	VERB
flr-13	408	14	academic	academic	ADJ
flr-13	408	15	performance	performance	NOUN
flr-13	408	16	has	have	AUX
flr-13	408	17	been	be	AUX
flr-13	408	18	shown	show	VERB
flr-13	408	19	in	in	ADP
flr-13	408	20	different	different	ADJ
flr-13	408	21	studies	study	NOUN
flr-13	408	22	(	(	PUNCT
flr-13	408	23	dupeyrat	dupeyrat	PROPN
flr-13	408	24	&	&	CCONJ
flr-13	408	25	marine	marine	PROPN
flr-13	408	26	,	,	PUNCT
flr-13	408	27	2005	2005	NUM
flr-13	408	28	;	;	PUNCT
flr-13	408	29	fenollar	fenollar	ADJ
flr-13	408	30	,	,	PUNCT
flr-13	408	31	et	et	PROPN
flr-13	408	32	al	al	PROPN
flr-13	408	33	.	.	PROPN
flr-13	408	34	,	,	PUNCT
flr-13	408	35	2007	2007	NUM
flr-13	408	36	;	;	PUNCT
flr-13	408	37	simons	simon	NOUN
flr-13	408	38	et	et	PROPN
flr-13	408	39	al	al	PROPN
flr-13	408	40	.	.	PROPN
flr-13	408	41	,	,	PUNCT
flr-13	408	42	2004	2004	NUM
flr-13	408	43	;	;	PUNCT
flr-13	408	44	weinstein	weinstein	PROPN
flr-13	408	45	&	&	CCONJ
flr-13	408	46	mayer	mayer	PROPN
flr-13	408	47	,	,	PUNCT
flr-13	408	48	1986	1986	NUM
flr-13	408	49	;	;	PUNCT
flr-13	408	50	weinstein	weinstein	PROPN
flr-13	408	51	et	et	PROPN
flr-13	408	52	al	al	PROPN
flr-13	408	53	.	.	PROPN
flr-13	408	54	,	,	PUNCT
flr-13	408	55	1987	1987	NUM
flr-13	408	56	;	;	PUNCT
flr-13	408	57	weinstein	weinstein	PROPN
flr-13	408	58	et	et	PROPN
flr-13	408	59	al	al	PROPN
flr-13	408	60	.	.	PROPN
flr-13	408	61	,	,	PUNCT
flr-13	408	62	1982	1982	NUM
flr-13	408	63	)	)	PUNCT
flr-13	408	64	.	.	PUNCT
flr-13	409	1	however	however	ADV
flr-13	409	2	,	,	PUNCT
flr-13	409	3	this	this	DET
flr-13	409	4	study	study	NOUN
flr-13	409	5	added	add	VERB
flr-13	409	6	the	the	DET
flr-13	409	7	contribution	contribution	NOUN
flr-13	409	8	of	of	ADP
flr-13	409	9	a	a	DET
flr-13	409	10	complex	complex	ADJ
flr-13	409	11	pattern	pattern	NOUN
flr-13	409	12	of	of	ADP
flr-13	409	13	variables	variable	NOUN
flr-13	409	14	for	for	ADP
flr-13	409	15	a	a	DET
flr-13	409	16	particular	particular	ADJ
flr-13	409	17	group	group	NOUN
flr-13	409	18	of	of	ADP
flr-13	409	19	students	student	NOUN
flr-13	409	20	,	,	PUNCT
flr-13	409	21	identifying	identify	VERB
flr-13	409	22	specific	specific	ADJ
flr-13	409	23	learning	learning	NOUN
flr-13	409	24	strategies	strategy	NOUN
flr-13	409	25	that	that	PRON
flr-13	409	26	help	help	VERB
flr-13	409	27	the	the	DET
flr-13	409	28	classification	classification	NOUN
flr-13	409	29	of	of	ADP
flr-13	409	30	students	student	NOUN
flr-13	409	31	in	in	ADP
flr-13	409	32	a	a	DET
flr-13	409	33	low	low	ADJ
flr-13	409	34	performance	performance	NOUN
flr-13	409	35	group	group	NOUN
flr-13	409	36	(	(	PUNCT
flr-13	409	37	i.e.	i.e.	X
flr-13	409	38	,	,	PUNCT
flr-13	409	39	thoughts	thought	NOUN
flr-13	409	40	or	or	CCONJ
flr-13	409	41	behaviours	behaviour	NOUN
flr-13	409	42	that	that	PRON
flr-13	409	43	help	help	VERB
flr-13	409	44	to	to	PART
flr-13	409	45	use	use	VERB
flr-13	409	46	imagery	imagery	NOUN
flr-13	409	47	,	,	PUNCT
flr-13	409	48	verbal	verbal	ADJ
flr-13	409	49	elaboration	elaboration	NOUN
flr-13	409	50	,	,	PUNCT
flr-13	409	51	organization	organization	NOUN
flr-13	409	52	strategies	strategy	NOUN
flr-13	409	53	,	,	PUNCT
flr-13	409	54	and	and	CCONJ
flr-13	409	55	reasoning	reasoning	NOUN
flr-13	409	56	skills	skill	NOUN
flr-13	409	57	)	)	PUNCT
flr-13	409	58	.	.	PUNCT
flr-13	410	1	included	include	VERB
flr-13	410	2	in	in	ADP
flr-13	410	3	this	this	DET
flr-13	410	4	set	set	NOUN
flr-13	410	5	are	be	AUX
flr-13	410	6	learning	learn	VERB
flr-13	410	7	strategies	strategy	NOUN
flr-13	410	8	that	that	PRON
flr-13	410	9	help	help	VERB
flr-13	410	10	build	build	VERB
flr-13	410	11	bridges	bridge	NOUN
flr-13	410	12	between	between	ADP
flr-13	410	13	what	what	PRON
flr-13	410	14	they	they	PRON
flr-13	410	15	already	already	ADV
flr-13	410	16	know	know	VERB
flr-13	410	17	,	,	PUNCT
flr-13	410	18	and	and	CCONJ
flr-13	410	19	what	what	PRON
flr-13	410	20	they	they	PRON
flr-13	410	21	are	be	AUX
flr-13	410	22	trying	try	VERB
flr-13	410	23	to	to	PART
flr-13	410	24	learn	learn	VERB
flr-13	410	25	and	and	CCONJ
flr-13	410	26	remember	remember	VERB
flr-13	410	27	(	(	PUNCT
flr-13	410	28	i.e.	i.e.	X
flr-13	410	29	,	,	PUNCT
flr-13	410	30	knowledge	knowledge	NOUN
flr-13	410	31	acquisition	acquisition	NOUN
flr-13	410	32	,	,	PUNCT
flr-13	410	33	retention	retention	NOUN
flr-13	410	34	,	,	PUNCT
flr-13	410	35	and	and	CCONJ
flr-13	410	36	future	future	ADJ
flr-13	410	37	application	application	NOUN
flr-13	410	38	)	)	PUNCT
flr-13	410	39	.	.	PUNCT
flr-13	411	1	in	in	ADP
flr-13	411	2	addition	addition	NOUN
flr-13	411	3	,	,	PUNCT
flr-13	411	4	variables	variable	NOUN
flr-13	411	5	related	relate	VERB
flr-13	411	6	to	to	ADP
flr-13	411	7	speed	speed	NOUN
flr-13	411	8	of	of	ADP
flr-13	411	9	processing	processing	NOUN
flr-13	411	10	involved	involve	VERB
flr-13	411	11	in	in	ADP
flr-13	411	12	wmc	wmc	PROPN
flr-13	411	13	functioning	functioning	NOUN
flr-13	411	14	have	have	VERB
flr-13	411	15	an	an	DET
flr-13	411	16	important	important	ADJ
flr-13	411	17	predictive	predictive	ADJ
flr-13	411	18	weight	weight	NOUN
flr-13	411	19	for	for	ADP
flr-13	411	20	the	the	DET
flr-13	411	21	determination	determination	NOUN
flr-13	411	22	and	and	CCONJ
flr-13	411	23	modelling	modelling	NOUN
flr-13	411	24	of	of	ADP
flr-13	411	25	the	the	DET
flr-13	411	26	low	low	ADJ
flr-13	411	27	performance	performance	NOUN
flr-13	411	28	group	group	NOUN
flr-13	411	29	.	.	PUNCT
flr-13	412	1	other	other	ADJ
flr-13	412	2	studies	study	NOUN
flr-13	412	3	that	that	PRON
flr-13	412	4	have	have	AUX
flr-13	412	5	used	use	VERB
flr-13	412	6	ann	ann	PROPN
flr-13	412	7	have	have	AUX
flr-13	412	8	also	also	ADV
flr-13	412	9	found	find	VERB
flr-13	412	10	that	that	SCONJ
flr-13	412	11	basic	basic	ADJ
flr-13	412	12	cognitive	cognitive	ADJ
flr-13	412	13	processing	processing	NOUN
flr-13	412	14	variables	variable	NOUN
flr-13	412	15	such	such	ADJ
flr-13	412	16	as	as	ADP
flr-13	412	17	wmc	wmc	PROPN
flr-13	412	18	and	and	CCONJ
flr-13	412	19	executive	executive	ADJ
flr-13	412	20	attention	attention	NOUN
flr-13	412	21	carried	carry	VERB
flr-13	412	22	the	the	DET
flr-13	412	23	most	most	ADV
flr-13	412	24	predictive	predictive	ADJ
flr-13	412	25	weight	weight	NOUN
flr-13	412	26	in	in	ADP
flr-13	412	27	the	the	DET
flr-13	412	28	low	low	ADJ
flr-13	412	29	performance	performance	NOUN
flr-13	412	30	group	group	NOUN
flr-13	412	31	of	of	ADP
flr-13	412	32	students	student	NOUN
flr-13	412	33	(	(	PUNCT
flr-13	412	34	kyndt	kyndt	PROPN
flr-13	412	35	et	et	PROPN
flr-13	412	36	al	al	PROPN
flr-13	412	37	.	.	PROPN
flr-13	412	38	,	,	PUNCT
flr-13	412	39	2012	2012	NUM
flr-13	412	40	,	,	PUNCT
flr-13	412	41	submitted	submit	VERB
flr-13	412	42	;	;	PUNCT
flr-13	412	43	musso	musso	PROPN
flr-13	412	44	&	&	CCONJ
flr-13	412	45	cascallar	cascallar	ADJ
flr-13	412	46	,	,	PUNCT
flr-13	412	47	2009a	2009a	NUM
flr-13	412	48	;	;	PUNCT
flr-13	412	49	musso	musso	PROPN
flr-13	412	50	et	et	PROPN
flr-13	412	51	al	al	PROPN
flr-13	412	52	.	.	PROPN
flr-13	412	53	,	,	PUNCT
flr-13	412	54	2012	2012	NUM
flr-13	412	55	)	)	PUNCT
flr-13	412	56	.	.	PUNCT
flr-13	413	1	moreover	moreover	ADV
flr-13	413	2	,	,	PUNCT
flr-13	413	3	the	the	DET
flr-13	413	4	literature	literature	NOUN
flr-13	413	5	has	have	AUX
flr-13	413	6	indicated	indicate	VERB
flr-13	413	7	the	the	DET
flr-13	413	8	positive	positive	ADJ
flr-13	413	9	association	association	NOUN
flr-13	413	10	between	between	ADP
flr-13	413	11	wmc	wmc	PROPN
flr-13	413	12	and	and	CCONJ
flr-13	413	13	academic	academic	ADJ
flr-13	413	14	achievement	achievement	NOUN
flr-13	413	15	(	(	PUNCT
flr-13	413	16	gathercole	gathercole	NOUN
flr-13	413	17	,	,	PUNCT
flr-13	413	18	pickering	pickering	NOUN
flr-13	413	19	,	,	PUNCT
flr-13	413	20	knight	knight	NOUN
flr-13	413	21	,	,	PUNCT
flr-13	413	22	&	&	CCONJ
flr-13	413	23	stegmann	stegmann	PROPN
flr-13	413	24	,	,	PUNCT
flr-13	413	25	2004	2004	NUM
flr-13	413	26	;	;	PUNCT
flr-13	413	27	riding	ride	VERB
flr-13	413	28	,	,	PUNCT
flr-13	413	29	grimley	grimley	NOUN
flr-13	413	30	,	,	PUNCT
flr-13	413	31	dahraei	dahraei	NOUN
flr-13	413	32	,	,	PUNCT
flr-13	413	33	&	&	CCONJ
flr-13	413	34	banner	banner	NOUN
flr-13	413	35	,	,	PUNCT
flr-13	413	36	2003	2003	NUM
flr-13	413	37	)	)	PUNCT
flr-13	413	38	.	.	PUNCT
flr-13	414	1	regarding	regard	VERB
flr-13	414	2	the	the	DET
flr-13	414	3	relative	relative	ADJ
flr-13	414	4	importance	importance	NOUN
flr-13	414	5	of	of	ADP
flr-13	414	6	each	each	DET
flr-13	414	7	variable	variable	NOUN
flr-13	414	8	,	,	PUNCT
flr-13	414	9	if	if	SCONJ
flr-13	414	10	we	we	PRON
flr-13	414	11	compare	compare	VERB
flr-13	414	12	the	the	DET
flr-13	414	13	relative	relative	ADJ
flr-13	414	14	role	role	NOUN
flr-13	414	15	of	of	ADP
flr-13	414	16	wmc	wmc	PROPN
flr-13	414	17	and	and	CCONJ
flr-13	414	18	other	other	ADJ
flr-13	414	19	cognitive	cognitive	ADJ
flr-13	414	20	resources	resource	NOUN
flr-13	414	21	between	between	ADP
flr-13	414	22	the	the	DET
flr-13	414	23	low	low	ADJ
flr-13	414	24	and	and	CCONJ
flr-13	414	25	high	high	ADJ
flr-13	414	26	performance	performance	NOUN
flr-13	414	27	groups	group	NOUN
flr-13	414	28	,	,	PUNCT
flr-13	414	29	wmc	wmc	PROPN
flr-13	414	30	and	and	CCONJ
flr-13	414	31	cognitive	cognitive	ADJ
flr-13	414	32	resources	resource	NOUN
flr-13	414	33	were	be	AUX
flr-13	414	34	far	far	ADV
flr-13	414	35	more	more	ADV
flr-13	414	36	important	important	ADJ
flr-13	414	37	for	for	ADP
flr-13	414	38	lower	low	ADJ
flr-13	414	39	gpa	gpa	PROPN
flr-13	414	40	students	student	NOUN
flr-13	414	41	.	.	PUNCT
flr-13	415	1	the	the	DET
flr-13	415	2	fact	fact	NOUN
flr-13	415	3	that	that	SCONJ
flr-13	415	4	their	their	PRON
flr-13	415	5	importance	importance	NOUN
flr-13	415	6	for	for	ADP
flr-13	415	7	the	the	DET
flr-13	415	8	prediction	prediction	NOUN
flr-13	415	9	is	be	AUX
flr-13	415	10	much	much	ADV
flr-13	415	11	greater	great	ADJ
flr-13	415	12	for	for	SCONJ
flr-13	415	13	the	the	DET
flr-13	415	14	lower	low	ADJ
flr-13	415	15	performing	perform	VERB
flr-13	415	16	group	group	NOUN
flr-13	415	17	is	be	AUX
flr-13	415	18	greatly	greatly	ADV
flr-13	415	19	due	due	ADJ
flr-13	415	20	to	to	ADP
flr-13	415	21	the	the	DET
flr-13	415	22	fact	fact	NOUN
flr-13	415	23	that	that	SCONJ
flr-13	415	24	all	all	DET
flr-13	415	25	members	member	NOUN
flr-13	415	26	of	of	ADP
flr-13	415	27	the	the	DET
flr-13	415	28	high	high	ADJ
flr-13	415	29	group	group	NOUN
flr-13	415	30	had	have	AUX
flr-13	415	31	higher	high	ADJ
flr-13	415	32	levels	level	NOUN
flr-13	415	33	of	of	ADP
flr-13	415	34	wmc	wmc	PROPN
flr-13	415	35	and	and	CCONJ
flr-13	415	36	cognitive	cognitive	ADJ
flr-13	415	37	resources	resource	NOUN
flr-13	415	38	,	,	PUNCT
flr-13	415	39	therefore	therefore	ADV
flr-13	415	40	not	not	PART
flr-13	415	41	providing	provide	VERB
flr-13	415	42	the	the	DET
flr-13	415	43	necessary	necessary	ADJ
flr-13	415	44	information	information	NOUN
flr-13	415	45	to	to	ADP
flr-13	415	46	the	the	DET
flr-13	415	47	network	network	NOUN
flr-13	415	48	.	.	PUNCT
flr-13	416	1	on	on	ADP
flr-13	416	2	the	the	DET
flr-13	416	3	other	other	ADJ
flr-13	416	4	hand	hand	NOUN
flr-13	416	5	,	,	PUNCT
flr-13	416	6	it	it	PRON
flr-13	416	7	was	be	AUX
flr-13	416	8	an	an	DET
flr-13	416	9	identifying	identify	VERB
flr-13	416	10	characteristic	characteristic	NOUN
flr-13	416	11	of	of	ADP
flr-13	416	12	the	the	DET
flr-13	416	13	low	low	ADJ
flr-13	416	14	performing	perform	VERB
flr-13	416	15	group	group	NOUN
flr-13	416	16	which	which	PRON
flr-13	416	17	had	have	VERB
flr-13	416	18	consistently	consistently	ADV
flr-13	416	19	lower	low	ADJ
flr-13	416	20	values	value	NOUN
flr-13	416	21	of	of	ADP
flr-13	416	22	wmc	wmc	PROPN
flr-13	416	23	and	and	CCONJ
flr-13	416	24	cognitive	cognitive	ADJ
flr-13	416	25	resources	resource	NOUN
flr-13	416	26	.	.	PUNCT
flr-13	417	1	remediation	remediation	NOUN
flr-13	417	2	programmes	programme	NOUN
flr-13	417	3	,	,	PUNCT
flr-13	417	4	tutorial	tutorial	NOUN
flr-13	417	5	systems	system	NOUN
flr-13	417	6	and	and	CCONJ
flr-13	417	7	instruction	instruction	NOUN
flr-13	417	8	methods	method	NOUN
flr-13	417	9	should	should	AUX
flr-13	417	10	consider	consider	VERB
flr-13	417	11	these	these	DET
flr-13	417	12	specific	specific	ADJ
flr-13	417	13	learning	learning	NOUN
flr-13	417	14	strategies	strategy	NOUN
flr-13	417	15	,	,	PUNCT
flr-13	417	16	cognitive	cognitive	ADJ
flr-13	417	17	processing	processing	NOUN
flr-13	417	18	characteristics	characteristic	NOUN
flr-13	417	19	and	and	CCONJ
flr-13	417	20	wmc	wmc	PROPN
flr-13	417	21	resources	resource	NOUN
flr-13	417	22	,	,	PUNCT
flr-13	417	23	in	in	ADP
flr-13	417	24	order	order	NOUN
flr-13	417	25	to	to	PART
flr-13	417	26	provide	provide	VERB
flr-13	417	27	basic	basic	ADJ
flr-13	417	28	support	support	NOUN
flr-13	417	29	to	to	ADP
flr-13	417	30	students	student	NOUN
flr-13	417	31	at	at	ADP
flr-13	417	32	risk	risk	NOUN
flr-13	417	33	.	.	PUNCT
flr-13	418	1	such	such	ADJ
flr-13	418	2	informed	informed	ADJ
flr-13	418	3	interventions	intervention	NOUN
flr-13	418	4	would	would	AUX
flr-13	418	5	improve	improve	VERB
flr-13	418	6	the	the	DET
flr-13	418	7	possibilities	possibility	NOUN
flr-13	418	8	of	of	ADP
flr-13	418	9	successful	successful	ADJ
flr-13	418	10	academic	academic	ADJ
flr-13	418	11	achievement	achievement	NOUN
flr-13	418	12	for	for	ADP
flr-13	418	13	the	the	DET
flr-13	418	14	at	at	ADP
flr-13	418	15	-	-	PUNCT
flr-13	418	16	risk	risk	NOUN
flr-13	418	17	groups	group	NOUN
flr-13	418	18	,	,	PUNCT
flr-13	418	19	including	include	VERB
flr-13	418	20	those	those	PRON
flr-13	418	21	with	with	ADP
flr-13	418	22	particular	particular	ADJ
flr-13	418	23	learning	learning	NOUN
flr-13	418	24	difficulties	difficulty	NOUN
flr-13	418	25	.	.	PUNCT
flr-13	419	1	background	background	NOUN
flr-13	419	2	variables	variable	NOUN
flr-13	419	3	together	together	ADV
flr-13	419	4	with	with	ADP
flr-13	419	5	reaction	reaction	NOUN
flr-13	419	6	time	time	NOUN
flr-13	419	7	measures	measure	NOUN
flr-13	419	8	and	and	CCONJ
flr-13	419	9	attentional	attentional	ADJ
flr-13	419	10	executive	executive	ADJ
flr-13	419	11	control	control	NOUN
flr-13	419	12	are	be	AUX
flr-13	419	13	the	the	DET
flr-13	419	14	most	most	ADV
flr-13	419	15	important	important	ADJ
flr-13	419	16	predictors	predictor	NOUN
flr-13	419	17	for	for	ADP
flr-13	419	18	the	the	DET
flr-13	419	19	highest	high	ADJ
flr-13	419	20	academic	academic	ADJ
flr-13	419	21	performance	performance	NOUN
flr-13	419	22	group	group	NOUN
flr-13	419	23	,	,	PUNCT
flr-13	419	24	as	as	ADP
flr-13	419	25	indicators	indicator	NOUN
flr-13	419	26	of	of	ADP
flr-13	419	27	both	both	DET
flr-13	419	28	efficiency	efficiency	NOUN
flr-13	419	29	in	in	ADP
flr-13	419	30	the	the	DET
flr-13	419	31	processing	processing	NOUN
flr-13	419	32	and	and	CCONJ
flr-13	419	33	of	of	ADP
flr-13	419	34	adequate	adequate	ADJ
flr-13	419	35	selection	selection	NOUN
flr-13	419	36	of	of	ADP
flr-13	419	37	information	information	NOUN
flr-13	419	38	.	.	PUNCT
flr-13	420	1	social	social	ADJ
flr-13	420	2	background	background	NOUN
flr-13	420	3	variables	variable	NOUN
flr-13	420	4	,	,	PUNCT
flr-13	420	5	such	such	ADJ
flr-13	420	6	as	as	ADP
flr-13	420	7	educational	educational	ADJ
flr-13	420	8	level	level	NOUN
flr-13	420	9	of	of	ADP
flr-13	420	10	the	the	DET
flr-13	420	11	parents	parent	NOUN
flr-13	420	12	,	,	PUNCT
flr-13	420	13	have	have	AUX
flr-13	420	14	been	be	AUX
flr-13	420	15	found	find	VERB
flr-13	420	16	to	to	PART
flr-13	420	17	be	be	AUX
flr-13	420	18	significant	significant	ADJ
flr-13	420	19	in	in	ADP
flr-13	420	20	a	a	DET
flr-13	420	21	previous	previous	ADJ
flr-13	420	22	ann	ann	PROPN
flr-13	420	23	study	study	NOUN
flr-13	420	24	(	(	PUNCT
flr-13	420	25	pinninghoff	pinninghoff	PROPN
flr-13	420	26	,	,	PUNCT
flr-13	420	27	junemann	junemann	PROPN
flr-13	420	28	et	et	PROPN
flr-13	420	29	al	al	PROPN
flr-13	420	30	.	.	PROPN
flr-13	420	31	,	,	PUNCT
flr-13	420	32	2007	2007	NUM
flr-13	420	33	)	)	PUNCT
flr-13	420	34	,	,	PUNCT
flr-13	420	35	and	and	CCONJ
flr-13	420	36	these	these	DET
flr-13	420	37	results	result	NOUN
flr-13	420	38	have	have	AUX
flr-13	420	39	been	be	AUX
flr-13	420	40	replicated	replicate	VERB
flr-13	420	41	in	in	ADP
flr-13	420	42	this	this	DET
flr-13	420	43	study	study	NOUN
flr-13	420	44	.	.	PUNCT
flr-13	421	1	the	the	DET
flr-13	421	2	executive	executive	ADJ
flr-13	421	3	control	control	NOUN
flr-13	421	4	mechanism	mechanism	NOUN
flr-13	421	5	is	be	AUX
flr-13	421	6	responsible	responsible	ADJ
flr-13	421	7	for	for	ADP
flr-13	421	8	resolving	resolve	VERB
flr-13	421	9	conflicts	conflict	NOUN
flr-13	421	10	among	among	ADP
flr-13	421	11	responses	response	NOUN
flr-13	421	12	(	(	PUNCT
flr-13	421	13	fan	fan	NOUN
flr-13	421	14	et	et	PROPN
flr-13	421	15	al	al	PROPN
flr-13	421	16	.	.	PROPN
flr-13	421	17	,	,	PUNCT
flr-13	421	18	2002	2002	NUM
flr-13	421	19	)	)	PUNCT
flr-13	421	20	.	.	PUNCT
flr-13	422	1	this	this	DET
flr-13	422	2	attentional	attentional	ADJ
flr-13	422	3	system	system	NOUN
flr-13	422	4	has	have	AUX
flr-13	422	5	been	be	AUX
flr-13	422	6	closely	closely	ADV
flr-13	422	7	related	relate	VERB
flr-13	422	8	to	to	ADP
flr-13	422	9	working	work	VERB
flr-13	422	10	memory	memory	NOUN
flr-13	422	11	capacity	capacity	NOUN
flr-13	422	12	(	(	PUNCT
flr-13	422	13	redick	redick	NOUN
flr-13	422	14	&	&	CCONJ
flr-13	422	15	engle	engle	PROPN
flr-13	422	16	,	,	PUNCT
flr-13	422	17	2006	2006	NUM
flr-13	422	18	)	)	PUNCT
flr-13	422	19	,	,	PUNCT
flr-13	422	20	and	and	CCONJ
flr-13	422	21	was	be	AUX
flr-13	422	22	found	find	VERB
flr-13	422	23	to	to	PART
flr-13	422	24	mediate	mediate	VERB
flr-13	422	25	and	and	CCONJ
flr-13	422	26	compensate	compensate	VERB
flr-13	422	27	wmc	wmc	PROPN
flr-13	422	28	deficits	deficit	NOUN
flr-13	422	29	for	for	ADP
flr-13	422	30	certain	certain	ADJ
flr-13	422	31	tasks	task	NOUN
flr-13	422	32	(	(	PUNCT
flr-13	422	33	musso	musso	PROPN
flr-13	422	34	et	et	PROPN
flr-13	422	35	al	al	PROPN
flr-13	422	36	.	.	PROPN
flr-13	422	37	,	,	PUNCT
flr-13	422	38	2012	2012	NUM
flr-13	422	39	)	)	PUNCT
flr-13	422	40	.	.	PUNCT
flr-13	423	1	other	other	ADJ
flr-13	423	2	attentional	attentional	ADJ
flr-13	423	3	networks	network	NOUN
flr-13	423	4	seem	seem	VERB
flr-13	423	5	to	to	PART
flr-13	423	6	be	be	AUX
flr-13	423	7	much	much	ADV
flr-13	423	8	less	less	ADV
flr-13	423	9	discriminating	discriminating	ADJ
flr-13	423	10	among	among	ADP
flr-13	423	11	students	student	NOUN
flr-13	423	12	who	who	PRON
flr-13	423	13	reach	reach	VERB
flr-13	423	14	certain	certain	ADJ
flr-13	423	15	threshold	threshold	NOUN
flr-13	423	16	levels	level	NOUN
flr-13	423	17	needed	need	VERB
flr-13	423	18	for	for	ADP
flr-13	423	19	high	high	ADJ
flr-13	423	20	academic	academic	ADJ
flr-13	423	21	performance	performance	NOUN
flr-13	423	22	.	.	PUNCT
flr-13	424	1	these	these	DET
flr-13	424	2	findings	finding	NOUN
flr-13	424	3	have	have	VERB
flr-13	424	4	m.	m.	PROPN
flr-13	424	5	f.	f.	PROPN
flr-13	424	6	musso	musso	PROPN
flr-13	424	7	et	et	PROPN
flr-13	424	8	al	al	PROPN
flr-13	424	9	.	.	PROPN
flr-13	425	1	64	64	NUM
flr-13	426	1	|	|	NOUN
flr-13	426	2	f	f	NOUN
flr-13	426	3	l	l	NOUN
flr-13	426	4	r	r	NOUN
flr-13	426	5	significant	significant	ADJ
flr-13	426	6	implications	implication	NOUN
flr-13	426	7	in	in	ADP
flr-13	426	8	the	the	DET
flr-13	426	9	way	way	NOUN
flr-13	426	10	that	that	PRON
flr-13	426	11	the	the	DET
flr-13	426	12	learning	learning	NOUN
flr-13	426	13	process	process	NOUN
flr-13	426	14	can	can	AUX
flr-13	426	15	be	be	AUX
flr-13	426	16	addressed	address	VERB
flr-13	426	17	for	for	ADP
flr-13	426	18	students	student	NOUN
flr-13	426	19	identified	identify	VERB
flr-13	426	20	as	as	ADP
flr-13	426	21	potential	potential	ADJ
flr-13	426	22	high	high	ADJ
flr-13	426	23	achievers	achiever	NOUN
flr-13	426	24	.	.	PUNCT
flr-13	427	1	for	for	ADP
flr-13	427	2	this	this	DET
flr-13	427	3	group	group	NOUN
flr-13	427	4	,	,	PUNCT
flr-13	427	5	promoting	promote	VERB
flr-13	427	6	learning	learn	VERB
flr-13	427	7	through	through	ADP
flr-13	427	8	the	the	DET
flr-13	427	9	use	use	NOUN
flr-13	427	10	of	of	ADP
flr-13	427	11	metacognitive	metacognitive	ADJ
flr-13	427	12	strategies	strategy	NOUN
flr-13	427	13	,	,	PUNCT
flr-13	427	14	complex	complex	ADJ
flr-13	427	15	processing	processing	NOUN
flr-13	427	16	,	,	PUNCT
flr-13	427	17	and	and	CCONJ
flr-13	427	18	targeted	target	VERB
flr-13	427	19	teacher	teacher	NOUN
flr-13	427	20	feedback	feedback	NOUN
flr-13	427	21	would	would	AUX
flr-13	427	22	be	be	AUX
flr-13	427	23	an	an	DET
flr-13	427	24	important	important	ADJ
flr-13	427	25	way	way	NOUN
flr-13	427	26	of	of	ADP
flr-13	427	27	maximizing	maximize	VERB
flr-13	427	28	their	their	PRON
flr-13	427	29	potential	potential	ADJ
flr-13	427	30	performance	performance	NOUN
flr-13	427	31	.	.	PUNCT
flr-13	428	1	regarding	regard	VERB
flr-13	428	2	methodological	methodological	ADJ
flr-13	428	3	implications	implication	NOUN
flr-13	428	4	,	,	PUNCT
flr-13	428	5	these	these	DET
flr-13	428	6	results	result	NOUN
flr-13	428	7	demonstrate	demonstrate	VERB
flr-13	428	8	the	the	DET
flr-13	428	9	greater	great	ADJ
flr-13	428	10	accuracy	accuracy	NOUN
flr-13	428	11	of	of	ADP
flr-13	428	12	the	the	DET
flr-13	428	13	ann	ann	PROPN
flr-13	428	14	approach	approach	NOUN
flr-13	428	15	compared	compare	VERB
flr-13	428	16	to	to	ADP
flr-13	428	17	other	other	ADJ
flr-13	428	18	traditional	traditional	ADJ
flr-13	428	19	methods	method	NOUN
flr-13	428	20	such	such	ADJ
flr-13	428	21	as	as	ADP
flr-13	428	22	da	da	PROPN
flr-13	428	23	.	.	PUNCT
flr-13	428	24	other	other	ADJ
flr-13	428	25	studies	study	NOUN
flr-13	428	26	have	have	AUX
flr-13	428	27	also	also	ADV
flr-13	428	28	made	make	VERB
flr-13	428	29	use	use	NOUN
flr-13	428	30	of	of	ADP
flr-13	428	31	multilayer	multilayer	ADJ
flr-13	428	32	perceptron	perceptron	PROPN
flr-13	428	33	artificial	artificial	ADJ
flr-13	428	34	neural	neural	ADJ
flr-13	428	35	networks	network	NOUN
flr-13	428	36	,	,	PUNCT
flr-13	428	37	with	with	ADP
flr-13	428	38	positive	positive	ADJ
flr-13	428	39	results	result	NOUN
flr-13	428	40	for	for	ADP
flr-13	428	41	the	the	DET
flr-13	428	42	analysis	analysis	NOUN
flr-13	428	43	of	of	ADP
flr-13	428	44	educational	educational	ADJ
flr-13	428	45	data	datum	NOUN
flr-13	428	46	(	(	PUNCT
flr-13	428	47	abu	abu	PROPN
flr-13	428	48	naser	naser	PROPN
flr-13	428	49	,	,	PUNCT
flr-13	428	50	2012	2012	NUM
flr-13	428	51	;	;	PUNCT
flr-13	428	52	croy	croy	PROPN
flr-13	428	53	et	et	PROPN
flr-13	428	54	al	al	PROPN
flr-13	428	55	.	.	PROPN
flr-13	428	56	,	,	PUNCT
flr-13	428	57	2008	2008	NUM
flr-13	428	58	;	;	PUNCT
flr-13	428	59	fong	fong	PROPN
flr-13	428	60	,	,	PUNCT
flr-13	428	61	et	et	PROPN
flr-13	428	62	al	al	PROPN
flr-13	428	63	.	.	PROPN
flr-13	428	64	,	,	PUNCT
flr-13	428	65	2009	2009	NUM
flr-13	428	66	;	;	PUNCT
flr-13	428	67	kanakana	kanakana	PROPN
flr-13	428	68	,	,	PUNCT
flr-13	428	69	&	&	CCONJ
flr-13	428	70	olanrewaju	olanrewaju	ADJ
flr-13	428	71	,	,	PUNCT
flr-13	428	72	2011	2011	NUM
flr-13	428	73	;	;	PUNCT
flr-13	428	74	mukta	mukta	PROPN
flr-13	428	75	&	&	CCONJ
flr-13	428	76	usha	usha	PROPN
flr-13	428	77	,	,	PUNCT
flr-13	428	78	2009	2009	NUM
flr-13	428	79	;	;	PUNCT
flr-13	428	80	ramaswami	ramaswami	NOUN
flr-13	428	81	&	&	CCONJ
flr-13	428	82	bhaskaran	bhaskaran	NOUN
flr-13	428	83	,	,	PUNCT
flr-13	428	84	2010	2010	NUM
flr-13	428	85	;	;	PUNCT
flr-13	428	86	zambrano	zambrano	PROPN
flr-13	428	87	matamala	matamala	PROPN
flr-13	428	88	,	,	PUNCT
flr-13	428	89	et	et	PROPN
flr-13	428	90	al	al	PROPN
flr-13	428	91	.	.	PROPN
flr-13	428	92	,	,	PUNCT
flr-13	428	93	2011	2011	NUM
flr-13	428	94	)	)	PUNCT
flr-13	428	95	.	.	PUNCT
flr-13	429	1	however	however	ADV
flr-13	429	2	,	,	PUNCT
flr-13	429	3	the	the	DET
flr-13	429	4	present	present	ADJ
flr-13	429	5	study	study	NOUN
flr-13	429	6	has	have	AUX
flr-13	429	7	been	be	AUX
flr-13	429	8	able	able	ADJ
flr-13	429	9	to	to	PART
flr-13	429	10	maximize	maximize	VERB
flr-13	429	11	the	the	DET
flr-13	429	12	precision	precision	NOUN
flr-13	429	13	obtained	obtain	VERB
flr-13	429	14	in	in	ADP
flr-13	429	15	the	the	DET
flr-13	429	16	predictive	predictive	ADJ
flr-13	429	17	classification	classification	NOUN
flr-13	429	18	of	of	ADP
flr-13	429	19	overall	overall	ADJ
flr-13	429	20	academic	academic	ADJ
flr-13	429	21	performance	performance	NOUN
flr-13	429	22	through	through	ADP
flr-13	429	23	the	the	DET
flr-13	429	24	careful	careful	ADJ
flr-13	429	25	adjustment	adjustment	NOUN
flr-13	429	26	of	of	ADP
flr-13	429	27	network	network	NOUN
flr-13	429	28	parameters	parameter	NOUN
flr-13	429	29	and	and	CCONJ
flr-13	429	30	algorithms	algorithm	NOUN
flr-13	429	31	,	,	PUNCT
flr-13	429	32	producing	produce	VERB
flr-13	429	33	highly	highly	ADV
flr-13	429	34	accurate	accurate	ADJ
flr-13	429	35	results	result	NOUN
flr-13	429	36	with	with	ADP
flr-13	429	37	minimal	minimal	ADJ
flr-13	429	38	misclassifications	misclassification	NOUN
flr-13	429	39	.	.	PUNCT
flr-13	430	1	similarly	similarly	ADV
flr-13	430	2	,	,	PUNCT
flr-13	430	3	the	the	DET
flr-13	430	4	initial	initial	ADJ
flr-13	430	5	study	study	NOUN
flr-13	430	6	of	of	ADP
flr-13	430	7	the	the	DET
flr-13	430	8	correlation	correlation	NOUN
flr-13	430	9	between	between	ADP
flr-13	430	10	the	the	DET
flr-13	430	11	ann	ann	PROPN
flr-13	430	12	probabilities	probability	NOUN
flr-13	430	13	of	of	ADP
flr-13	430	14	performance	performance	NOUN
flr-13	430	15	level	level	NOUN
flr-13	430	16	assigned	assign	VERB
flr-13	430	17	to	to	ADP
flr-13	430	18	each	each	DET
flr-13	430	19	individual	individual	ADJ
flr-13	430	20	student	student	NOUN
flr-13	430	21	,	,	PUNCT
flr-13	430	22	with	with	ADP
flr-13	430	23	the	the	DET
flr-13	430	24	actual	actual	ADJ
flr-13	430	25	gpa	gpa	NOUN
flr-13	430	26	observed	observe	VERB
flr-13	430	27	,	,	PUNCT
flr-13	430	28	shows	show	VERB
flr-13	430	29	a	a	DET
flr-13	430	30	significant	significant	ADJ
flr-13	430	31	degree	degree	NOUN
flr-13	430	32	of	of	ADP
flr-13	430	33	correlation	correlation	NOUN
flr-13	430	34	between	between	ADP
flr-13	430	35	the	the	DET
flr-13	430	36	two	two	NUM
flr-13	430	37	measures	measure	NOUN
flr-13	430	38	(	(	PUNCT
flr-13	430	39	r	r	NOUN
flr-13	430	40	=	=	SYM
flr-13	430	41	.86	.86	NUM
flr-13	430	42	for	for	ADP
flr-13	430	43	the	the	DET
flr-13	430	44	whole	whole	ADJ
flr-13	430	45	sample	sample	NOUN
flr-13	430	46	)	)	PUNCT
flr-13	430	47	,	,	PUNCT
flr-13	430	48	with	with	ADP
flr-13	430	49	performance	performance	NOUN
flr-13	430	50	as	as	ADP
flr-13	430	51	a	a	DET
flr-13	430	52	continuous	continuous	ADJ
flr-13	430	53	variable	variable	NOUN
flr-13	430	54	.	.	PUNCT
flr-13	431	1	further	further	ADJ
flr-13	431	2	studies	study	NOUN
flr-13	431	3	will	will	AUX
flr-13	431	4	refine	refine	VERB
flr-13	431	5	the	the	DET
flr-13	431	6	technique	technique	NOUN
flr-13	431	7	to	to	PART
flr-13	431	8	maximize	maximize	VERB
flr-13	431	9	these	these	DET
flr-13	431	10	individual	individual	ADJ
flr-13	431	11	results	result	NOUN
flr-13	431	12	.	.	PUNCT
flr-13	432	1	the	the	DET
flr-13	432	2	results	result	NOUN
flr-13	432	3	of	of	ADP
flr-13	432	4	the	the	DET
flr-13	432	5	da	da	PROPN
flr-13	432	6	confirm	confirm	VERB
flr-13	432	7	the	the	DET
flr-13	432	8	lack	lack	NOUN
flr-13	432	9	of	of	ADP
flr-13	432	10	significant	significant	ADJ
flr-13	432	11	linear	linear	ADJ
flr-13	432	12	relationships	relationship	NOUN
flr-13	432	13	between	between	ADP
flr-13	432	14	the	the	DET
flr-13	432	15	independent	independent	ADJ
flr-13	432	16	variables	variable	NOUN
flr-13	432	17	analysed	analyse	VERB
flr-13	432	18	in	in	ADP
flr-13	432	19	this	this	DET
flr-13	432	20	study	study	NOUN
flr-13	432	21	and	and	CCONJ
flr-13	432	22	academic	academic	ADJ
flr-13	432	23	performance	performance	NOUN
flr-13	432	24	.	.	PUNCT
flr-13	433	1	neural	neural	ADJ
flr-13	433	2	network	network	NOUN
flr-13	433	3	models	model	NOUN
flr-13	433	4	have	have	VERB
flr-13	433	5	an	an	DET
flr-13	433	6	important	important	ADJ
flr-13	433	7	advantage	advantage	NOUN
flr-13	433	8	in	in	ADP
flr-13	433	9	this	this	DET
flr-13	433	10	respect	respect	NOUN
flr-13	433	11	,	,	PUNCT
flr-13	433	12	as	as	SCONJ
flr-13	433	13	they	they	PRON
flr-13	433	14	are	be	AUX
flr-13	433	15	able	able	ADJ
flr-13	433	16	to	to	PART
flr-13	433	17	model	model	VERB
flr-13	433	18	nonlinear	nonlinear	ADJ
flr-13	433	19	and	and	CCONJ
flr-13	433	20	complex	complex	ADJ
flr-13	433	21	relationships	relationship	NOUN
flr-13	433	22	among	among	ADP
flr-13	433	23	variables	variable	NOUN
flr-13	433	24	with	with	ADP
flr-13	433	25	greater	great	ADJ
flr-13	433	26	precision	precision	NOUN
flr-13	433	27	and	and	CCONJ
flr-13	433	28	accuracy	accuracy	NOUN
flr-13	433	29	.	.	PUNCT
flr-13	434	1	even	even	ADV
flr-13	434	2	though	though	SCONJ
flr-13	434	3	the	the	DET
flr-13	434	4	assumptions	assumption	NOUN
flr-13	434	5	required	require	VERB
flr-13	434	6	for	for	ADP
flr-13	434	7	traditional	traditional	ADJ
flr-13	434	8	statistical	statistical	ADJ
flr-13	434	9	predictive	predictive	ADJ
flr-13	434	10	models	model	NOUN
flr-13	434	11	(	(	PUNCT
flr-13	434	12	e.g.	e.g.	ADV
flr-13	434	13	equality	equality	NOUN
flr-13	434	14	of	of	ADP
flr-13	434	15	covariance	covariance	NOUN
flr-13	434	16	matrices	matrix	NOUN
flr-13	434	17	)	)	PUNCT
flr-13	434	18	were	be	AUX
flr-13	434	19	not	not	PART
flr-13	434	20	violated	violate	VERB
flr-13	434	21	for	for	ADP
flr-13	434	22	the	the	DET
flr-13	434	23	three	three	NUM
flr-13	434	24	stepwise	stepwise	ADJ
flr-13	434	25	discriminant	discriminant	NOUN
flr-13	434	26	analyses	analysis	NOUN
flr-13	434	27	that	that	PRON
flr-13	434	28	were	be	AUX
flr-13	434	29	performed	perform	VERB
flr-13	434	30	,	,	PUNCT
flr-13	434	31	the	the	DET
flr-13	434	32	amount	amount	NOUN
flr-13	434	33	of	of	ADP
flr-13	434	34	variance	variance	NOUN
flr-13	434	35	explained	explain	VERB
flr-13	434	36	was	be	AUX
flr-13	434	37	low	low	ADJ
flr-13	434	38	in	in	ADP
flr-13	434	39	all	all	DET
flr-13	434	40	three	three	NUM
flr-13	434	41	da	da	ADJ
flr-13	434	42	analyses	analysis	NOUN
flr-13	434	43	.	.	PUNCT
flr-13	435	1	none	none	NOUN
flr-13	435	2	of	of	ADP
flr-13	435	3	these	these	DET
flr-13	435	4	analyses	analysis	NOUN
flr-13	435	5	were	be	AUX
flr-13	435	6	able	able	ADJ
flr-13	435	7	to	to	PART
flr-13	435	8	discriminate	discriminate	VERB
flr-13	435	9	with	with	ADP
flr-13	435	10	sufficient	sufficient	ADJ
flr-13	435	11	accuracy	accuracy	NOUN
flr-13	435	12	between	between	ADP
flr-13	435	13	the	the	DET
flr-13	435	14	different	different	ADJ
flr-13	435	15	levels	level	NOUN
flr-13	435	16	of	of	ADP
flr-13	435	17	expected	expect	VERB
flr-13	435	18	academic	academic	ADJ
flr-13	435	19	performance	performance	NOUN
flr-13	435	20	.	.	PUNCT
flr-13	436	1	when	when	SCONJ
flr-13	436	2	we	we	PRON
flr-13	436	3	compare	compare	VERB
flr-13	436	4	these	these	DET
flr-13	436	5	results	result	NOUN
flr-13	436	6	with	with	ADP
flr-13	436	7	the	the	DET
flr-13	436	8	anns	anns	NOUN
flr-13	436	9	modelled	model	VERB
flr-13	436	10	in	in	ADP
flr-13	436	11	this	this	DET
flr-13	436	12	study	study	NOUN
flr-13	436	13	,	,	PUNCT
flr-13	436	14	it	it	PRON
flr-13	436	15	can	can	AUX
flr-13	436	16	be	be	AUX
flr-13	436	17	concluded	conclude	VERB
flr-13	436	18	that	that	SCONJ
flr-13	436	19	anns	ann	NOUN
flr-13	436	20	are	be	AUX
flr-13	436	21	much	much	ADV
flr-13	436	22	more	more	ADV
flr-13	436	23	robust	robust	ADJ
flr-13	436	24	,	,	PUNCT
flr-13	436	25	and	and	CCONJ
flr-13	436	26	perform	perform	VERB
flr-13	436	27	significantly	significantly	ADV
flr-13	436	28	better	well	ADJ
flr-13	436	29	than	than	ADP
flr-13	436	30	other	other	ADJ
flr-13	436	31	classical	classical	ADJ
flr-13	436	32	techniques	technique	NOUN
flr-13	436	33	,	,	PUNCT
flr-13	436	34	as	as	SCONJ
flr-13	436	35	prior	prior	ADJ
flr-13	436	36	studies	study	NOUN
flr-13	436	37	have	have	AUX
flr-13	436	38	also	also	ADV
flr-13	436	39	indicated	indicate	VERB
flr-13	436	40	(	(	PUNCT
flr-13	436	41	everson	everson	PROPN
flr-13	436	42	et	et	PROPN
flr-13	436	43	al	al	PROPN
flr-13	436	44	.	.	PROPN
flr-13	436	45	,	,	PUNCT
flr-13	436	46	1994	1994	NUM
flr-13	436	47	;	;	PUNCT
flr-13	436	48	marquez	marquez	PROPN
flr-13	436	49	et	et	PROPN
flr-13	436	50	al	al	PROPN
flr-13	436	51	.	.	PROPN
flr-13	436	52	,	,	PUNCT
flr-13	436	53	1991	1991	NUM
flr-13	436	54	)	)	PUNCT
flr-13	436	55	.	.	PUNCT
flr-13	437	1	this	this	DET
flr-13	437	2	study	study	NOUN
flr-13	437	3	has	have	AUX
flr-13	437	4	shown	show	VERB
flr-13	437	5	the	the	DET
flr-13	437	6	power	power	NOUN
flr-13	437	7	of	of	ADP
flr-13	437	8	this	this	DET
flr-13	437	9	predictive	predictive	ADJ
flr-13	437	10	approach	approach	NOUN
flr-13	437	11	using	use	VERB
flr-13	437	12	anns	ann	NOUN
flr-13	437	13	to	to	PART
flr-13	437	14	model	model	VERB
flr-13	437	15	future	future	ADJ
flr-13	437	16	overall	overall	ADJ
flr-13	437	17	academic	academic	ADJ
flr-13	437	18	performance	performance	NOUN
flr-13	437	19	in	in	ADP
flr-13	437	20	higher	high	ADJ
flr-13	437	21	education	education	NOUN
flr-13	437	22	,	,	PUNCT
flr-13	437	23	specifically	specifically	ADV
flr-13	437	24	in	in	ADP
flr-13	437	25	academic	academic	ADJ
flr-13	437	26	admissions	admission	NOUN
flr-13	437	27	and/or	and/or	CCONJ
flr-13	437	28	placement	placement	NOUN
flr-13	437	29	.	.	PUNCT
flr-13	438	1	to	to	PART
flr-13	438	2	put	put	VERB
flr-13	438	3	the	the	DET
flr-13	438	4	current	current	ADJ
flr-13	438	5	results	result	NOUN
flr-13	438	6	in	in	ADP
flr-13	438	7	perspective	perspective	NOUN
flr-13	438	8	,	,	PUNCT
flr-13	438	9	if	if	SCONJ
flr-13	438	10	we	we	PRON
flr-13	438	11	consider	consider	VERB
flr-13	438	12	one	one	NUM
flr-13	438	13	of	of	ADP
flr-13	438	14	the	the	DET
flr-13	438	15	best	well	ADV
flr-13	438	16	known	know	VERB
flr-13	438	17	and	and	CCONJ
flr-13	438	18	most	most	ADV
flr-13	438	19	reliable	reliable	ADJ
flr-13	438	20	tests	test	NOUN
flr-13	438	21	currently	currently	ADV
flr-13	438	22	in	in	ADP
flr-13	438	23	use	use	NOUN
flr-13	438	24	,	,	PUNCT
flr-13	438	25	the	the	DET
flr-13	438	26	sat	sit	VERB
flr-13	438	27	from	from	ADP
flr-13	438	28	the	the	DET
flr-13	438	29	college	college	NOUN
flr-13	438	30	board	board	NOUN
flr-13	438	31	,	,	PUNCT
flr-13	438	32	it	it	PRON
flr-13	438	33	has	have	AUX
flr-13	438	34	been	be	AUX
flr-13	438	35	found	find	VERB
flr-13	438	36	(	(	PUNCT
flr-13	438	37	kobrin	kobrin	PROPN
flr-13	438	38	,	,	PUNCT
flr-13	438	39	patterson	patterson	PROPN
flr-13	438	40	,	,	PUNCT
flr-13	438	41	shaw	shaw	PROPN
flr-13	438	42	,	,	PUNCT
flr-13	438	43	mattern	mattern	PROPN
flr-13	438	44	,	,	PUNCT
flr-13	438	45	&	&	CCONJ
flr-13	438	46	barbuti	barbuti	PROPN
flr-13	438	47	,	,	PUNCT
flr-13	438	48	2008	2008	NUM
flr-13	438	49	)	)	PUNCT
flr-13	438	50	that	that	SCONJ
flr-13	438	51	all	all	DET
flr-13	438	52	sections	section	NOUN
flr-13	438	53	of	of	ADP
flr-13	438	54	the	the	DET
flr-13	438	55	sat	sat	NOUN
flr-13	438	56	taken	take	VERB
flr-13	438	57	together	together	ADV
flr-13	438	58	,	,	PUNCT
flr-13	438	59	even	even	ADV
flr-13	438	60	with	with	ADP
flr-13	438	61	the	the	DET
flr-13	438	62	more	more	ADV
flr-13	438	63	recent	recent	ADJ
flr-13	438	64	addition	addition	NOUN
flr-13	438	65	of	of	ADP
flr-13	438	66	a	a	DET
flr-13	438	67	writing	writing	NOUN
flr-13	438	68	score	score	NOUN
flr-13	438	69	,	,	PUNCT
flr-13	438	70	can	can	AUX
flr-13	438	71	predict	predict	VERB
flr-13	438	72	at	at	ADP
flr-13	438	73	best	good	ADJ
flr-13	438	74	28	28	NUM
flr-13	438	75	%	%	NOUN
flr-13	438	76	of	of	ADP
flr-13	438	77	the	the	DET
flr-13	438	78	variance	variance	NOUN
flr-13	438	79	of	of	ADP
flr-13	438	80	the	the	DET
flr-13	438	81	first	first	ADJ
flr-13	438	82	-	-	PUNCT
flr-13	438	83	year	year	NOUN
flr-13	438	84	college	college	NOUN
flr-13	438	85	gpa	gpa	PROPN
flr-13	438	86	for	for	ADP
flr-13	438	87	the	the	DET
flr-13	438	88	average	average	ADJ
flr-13	438	89	population	population	NOUN
flr-13	438	90	of	of	ADP
flr-13	438	91	students	student	NOUN
flr-13	438	92	.	.	PUNCT
flr-13	439	1	if	if	SCONJ
flr-13	439	2	we	we	PRON
flr-13	439	3	add	add	VERB
flr-13	439	4	to	to	ADP
flr-13	439	5	the	the	DET
flr-13	439	6	sat	sat	NOUN
flr-13	439	7	results	result	VERB
flr-13	439	8	the	the	DET
flr-13	439	9	information	information	NOUN
flr-13	439	10	of	of	ADP
flr-13	439	11	the	the	DET
flr-13	439	12	gpa	gpa	PROPN
flr-13	439	13	obtained	obtain	VERB
flr-13	439	14	in	in	ADP
flr-13	439	15	secondary	secondary	ADJ
flr-13	439	16	education	education	NOUN
flr-13	439	17	,	,	PUNCT
flr-13	439	18	the	the	DET
flr-13	439	19	overall	overall	ADJ
flr-13	439	20	prediction	prediction	NOUN
flr-13	439	21	is	be	AUX
flr-13	439	22	of	of	ADP
flr-13	439	23	only	only	ADV
flr-13	439	24	38	38	NUM
flr-13	439	25	%	%	NOUN
flr-13	439	26	of	of	ADP
flr-13	439	27	the	the	DET
flr-13	439	28	variance	variance	NOUN
flr-13	439	29	of	of	ADP
flr-13	439	30	first	first	ADJ
flr-13	439	31	-	-	PUNCT
flr-13	439	32	year	year	NOUN
flr-13	439	33	college	college	NOUN
flr-13	439	34	gpa	gpa	PROPN
flr-13	439	35	(	(	PUNCT
flr-13	439	36	kobrin	kobrin	PROPN
flr-13	439	37	et	et	PROPN
flr-13	439	38	al	al	PROPN
flr-13	439	39	,	,	PUNCT
flr-13	439	40	2008	2008	NUM
flr-13	439	41	)	)	PUNCT
flr-13	439	42	.	.	PUNCT
flr-13	440	1	with	with	ADP
flr-13	440	2	the	the	DET
flr-13	440	3	current	current	ADJ
flr-13	440	4	ann	ann	PROPN
flr-13	440	5	models	model	NOUN
flr-13	440	6	,	,	PUNCT
flr-13	440	7	it	it	PRON
flr-13	440	8	has	have	AUX
flr-13	440	9	been	be	AUX
flr-13	440	10	possible	possible	ADJ
flr-13	440	11	to	to	PART
flr-13	440	12	correctly	correctly	ADV
flr-13	440	13	classify	classify	VERB
flr-13	440	14	100	100	NUM
flr-13	440	15	%	%	NOUN
flr-13	440	16	of	of	ADP
flr-13	440	17	student	student	NOUN
flr-13	440	18	performance	performance	NOUN
flr-13	440	19	in	in	ADP
flr-13	440	20	the	the	DET
flr-13	440	21	categories	category	NOUN
flr-13	440	22	examined	examine	VERB
flr-13	440	23	,	,	PUNCT
flr-13	440	24	that	that	ADV
flr-13	440	25	is	is	ADV
flr-13	440	26	,	,	PUNCT
flr-13	440	27	100	100	NUM
flr-13	440	28	%	%	NOUN
flr-13	440	29	of	of	ADP
flr-13	440	30	the	the	DET
flr-13	440	31	students	student	NOUN
flr-13	440	32	were	be	AUX
flr-13	440	33	correctly	correctly	ADV
flr-13	440	34	classified	classified	ADJ
flr-13	440	35	,	,	PUNCT
flr-13	440	36	and	and	CCONJ
flr-13	440	37	our	our	PRON
flr-13	440	38	research	research	NOUN
flr-13	440	39	currently	currently	ADV
flr-13	440	40	continues	continue	VERB
flr-13	440	41	into	into	ADP
flr-13	440	42	the	the	DET
flr-13	440	43	development	development	NOUN
flr-13	440	44	of	of	ADP
flr-13	440	45	new	new	ADJ
flr-13	440	46	predictive	predictive	ADJ
flr-13	440	47	models	model	NOUN
flr-13	440	48	,	,	PUNCT
flr-13	440	49	with	with	ADP
flr-13	440	50	much	much	ADV
flr-13	440	51	larger	large	ADJ
flr-13	440	52	data	data	NOUN
flr-13	440	53	sets	set	NOUN
flr-13	440	54	,	,	PUNCT
flr-13	440	55	to	to	PART
flr-13	440	56	classify	classify	VERB
flr-13	440	57	students	student	NOUN
flr-13	440	58	in	in	ADP
flr-13	440	59	much	much	ADV
flr-13	440	60	narrower	narrow	ADJ
flr-13	440	61	bands	band	NOUN
flr-13	440	62	of	of	ADP
flr-13	440	63	expected	expect	VERB
flr-13	440	64	performance	performance	NOUN
flr-13	440	65	having	having	AUX
flr-13	440	66	already	already	ADV
flr-13	440	67	attained	attain	VERB
flr-13	440	68	98	98	NUM
flr-13	440	69	-	-	SYM
flr-13	440	70	99	99	NUM
flr-13	440	71	%	%	NOUN
flr-13	440	72	accuracy	accuracy	NOUN
flr-13	440	73	in	in	ADP
flr-13	440	74	models	model	NOUN
flr-13	440	75	for	for	ADP
flr-13	440	76	quintals	quintal	NOUN
flr-13	440	77	of	of	ADP
flr-13	440	78	student	student	NOUN
flr-13	440	79	performance	performance	NOUN
flr-13	440	80	distributions	distribution	NOUN
flr-13	440	81	.	.	PUNCT
flr-13	441	1	in	in	ADP
flr-13	441	2	addition	addition	NOUN
flr-13	441	3	,	,	PUNCT
flr-13	441	4	work	work	NOUN
flr-13	441	5	will	will	AUX
flr-13	441	6	also	also	ADV
flr-13	441	7	continue	continue	VERB
flr-13	441	8	for	for	ADP
flr-13	441	9	the	the	DET
flr-13	441	10	prediction	prediction	NOUN
flr-13	441	11	of	of	ADP
flr-13	441	12	specific	specific	ADJ
flr-13	441	13	expected	expect	VERB
flr-13	441	14	gpa	gpa	PROPN
flr-13	441	15	results	result	NOUN
flr-13	441	16	for	for	ADP
flr-13	441	17	each	each	DET
flr-13	441	18	individual	individual	ADJ
flr-13	441	19	student	student	NOUN
flr-13	441	20	.	.	PUNCT
flr-13	442	1	in	in	ADP
flr-13	442	2	conclusion	conclusion	NOUN
flr-13	442	3	,	,	PUNCT
flr-13	442	4	the	the	DET
flr-13	442	5	current	current	ADJ
flr-13	442	6	predictive	predictive	ADJ
flr-13	442	7	systems	system	NOUN
flr-13	442	8	approach	approach	NOUN
flr-13	442	9	facilitates	facilitate	VERB
flr-13	442	10	and	and	CCONJ
flr-13	442	11	maximizes	maximize	VERB
flr-13	442	12	the	the	DET
flr-13	442	13	identification	identification	NOUN
flr-13	442	14	of	of	ADP
flr-13	442	15	those	those	DET
flr-13	442	16	factors	factor	NOUN
flr-13	442	17	(	(	PUNCT
flr-13	442	18	or	or	CCONJ
flr-13	442	19	predictors	predictor	NOUN
flr-13	442	20	)	)	PUNCT
flr-13	442	21	of	of	ADP
flr-13	442	22	the	the	DET
flr-13	442	23	learning	learning	NOUN
flr-13	442	24	processes	process	NOUN
flr-13	442	25	which	which	PRON
flr-13	442	26	participate	participate	VERB
flr-13	442	27	in	in	ADP
flr-13	442	28	varying	vary	VERB
flr-13	442	29	degrees	degree	NOUN
flr-13	442	30	in	in	ADP
flr-13	442	31	the	the	DET
flr-13	442	32	modelling	modelling	NOUN
flr-13	442	33	of	of	ADP
flr-13	442	34	different	different	ADJ
flr-13	442	35	levels	level	NOUN
flr-13	442	36	of	of	ADP
flr-13	442	37	performance	performance	NOUN
flr-13	442	38	in	in	ADP
flr-13	442	39	academic	academic	ADJ
flr-13	442	40	outcomes	outcome	NOUN
flr-13	442	41	in	in	ADP
flr-13	442	42	higher	high	ADJ
flr-13	442	43	education	education	NOUN
flr-13	442	44	.	.	PUNCT
flr-13	443	1	if	if	SCONJ
flr-13	443	2	we	we	PRON
flr-13	443	3	can	can	AUX
flr-13	443	4	identify	identify	VERB
flr-13	443	5	specific	specific	ADJ
flr-13	443	6	profiles	profile	NOUN
flr-13	443	7	of	of	ADP
flr-13	443	8	students	student	NOUN
flr-13	443	9	,	,	PUNCT
flr-13	443	10	focusing	focus	VERB
flr-13	443	11	on	on	ADP
flr-13	443	12	the	the	DET
flr-13	443	13	most	most	ADV
flr-13	443	14	important	important	ADJ
flr-13	443	15	variables	variable	NOUN
flr-13	443	16	,	,	PUNCT
flr-13	443	17	this	this	PRON
flr-13	443	18	opens	open	VERB
flr-13	443	19	major	major	ADJ
flr-13	443	20	possibilities	possibility	NOUN
flr-13	443	21	for	for	ADP
flr-13	443	22	the	the	DET
flr-13	443	23	improvement	improvement	NOUN
flr-13	443	24	of	of	ADP
flr-13	443	25	assessment	assessment	NOUN
flr-13	443	26	procedures	procedure	NOUN
flr-13	443	27	and	and	CCONJ
flr-13	443	28	the	the	DET
flr-13	443	29	planning	planning	NOUN
flr-13	443	30	of	of	ADP
flr-13	443	31	pre	pre	ADJ
flr-13	443	32	-	-	ADJ
flr-13	443	33	emptive	emptive	ADJ
flr-13	443	34	interventions	intervention	NOUN
flr-13	443	35	.	.	PUNCT
flr-13	444	1	given	give	VERB
flr-13	444	2	that	that	SCONJ
flr-13	444	3	this	this	DET
flr-13	444	4	methodology	methodology	NOUN
flr-13	444	5	allows	allow	VERB
flr-13	444	6	for	for	ADP
flr-13	444	7	the	the	DET
flr-13	444	8	accurate	accurate	ADJ
flr-13	444	9	prediction	prediction	NOUN
flr-13	444	10	of	of	ADP
flr-13	444	11	actual	actual	ADJ
flr-13	444	12	academic	academic	ADJ
flr-13	444	13	performance	performance	NOUN
flr-13	444	14	at	at	ADP
flr-13	444	15	least	least	ADV
flr-13	444	16	one	one	NUM
flr-13	444	17	academic	academic	ADJ
flr-13	444	18	year	year	NOUN
flr-13	444	19	in	in	ADP
flr-13	444	20	advance	advance	NOUN
flr-13	444	21	to	to	ADP
flr-13	444	22	it	it	PRON
flr-13	444	23	actually	actually	ADV
flr-13	444	24	being	be	AUX
flr-13	444	25	measured	measure	VERB
flr-13	444	26	(	(	PUNCT
flr-13	444	27	gpa	gpa	PROPN
flr-13	444	28	)	)	PUNCT
flr-13	444	29	,	,	PUNCT
flr-13	444	30	it	it	PRON
flr-13	444	31	has	have	VERB
flr-13	444	32	implications	implication	NOUN
flr-13	444	33	for	for	ADP
flr-13	444	34	the	the	DET
flr-13	444	35	application	application	NOUN
flr-13	444	36	of	of	ADP
flr-13	444	37	these	these	DET
flr-13	444	38	methods	method	NOUN
flr-13	444	39	in	in	ADP
flr-13	444	40	educational	educational	ADJ
flr-13	444	41	research	research	NOUN
flr-13	444	42	and	and	CCONJ
flr-13	444	43	in	in	ADP
flr-13	444	44	the	the	DET
flr-13	444	45	implementation	implementation	NOUN
flr-13	444	46	of	of	ADP
flr-13	444	47	diagnostic	diagnostic	ADJ
flr-13	444	48	“	"	PUNCT
flr-13	444	49	early	early	ADJ
flr-13	444	50	-	-	PUNCT
flr-13	444	51	warning	warning	NOUN
flr-13	444	52	”	"	PUNCT
flr-13	444	53	programmes	programme	NOUN
flr-13	444	54	in	in	ADP
flr-13	444	55	educational	educational	ADJ
flr-13	444	56	settings	setting	NOUN
flr-13	444	57	.	.	PUNCT
flr-13	445	1	these	these	DET
flr-13	445	2	results	result	NOUN
flr-13	445	3	also	also	ADV
flr-13	445	4	inform	inform	VERB
flr-13	445	5	cognitive	cognitive	ADJ
flr-13	445	6	theory	theory	NOUN
flr-13	445	7	and	and	CCONJ
flr-13	445	8	help	help	NOUN
flr-13	445	9	in	in	ADP
flr-13	445	10	the	the	DET
flr-13	445	11	development	development	NOUN
flr-13	445	12	of	of	ADP
flr-13	445	13	improved	improved	ADJ
flr-13	445	14	automated	automate	VERB
flr-13	445	15	tutoring	tutoring	NOUN
flr-13	445	16	and	and	CCONJ
flr-13	445	17	learning	learn	VERB
flr-13	445	18	systems	system	NOUN
flr-13	445	19	.	.	PUNCT
flr-13	446	1	although	although	SCONJ
flr-13	446	2	some	some	PRON
flr-13	446	3	of	of	ADP
flr-13	446	4	the	the	DET
flr-13	446	5	variables	variable	NOUN
flr-13	446	6	involved	involve	VERB
flr-13	446	7	,	,	PUNCT
flr-13	446	8	such	such	ADJ
flr-13	446	9	as	as	ADP
flr-13	446	10	educational	educational	ADJ
flr-13	446	11	level	level	NOUN
flr-13	446	12	of	of	ADP
flr-13	446	13	the	the	DET
flr-13	446	14	m.	m.	NOUN
flr-13	446	15	f.	f.	PROPN
flr-13	446	16	musso	musso	PROPN
flr-13	446	17	et	et	PROPN
flr-13	446	18	al	al	PROPN
flr-13	446	19	.	.	PROPN
flr-13	446	20	65	65	NUM
flr-13	447	1	|	|	ADV
flr-13	447	2	f	f	NOUN
flr-13	447	3	l	l	NOUN
flr-13	447	4	r	r	NOUN
flr-13	447	5	parents	parent	NOUN
flr-13	447	6	,	,	PUNCT
flr-13	447	7	are	be	AUX
flr-13	447	8	impossible	impossible	ADJ
flr-13	447	9	to	to	PART
flr-13	447	10	alter	alter	VERB
flr-13	447	11	in	in	ADP
flr-13	447	12	their	their	PRON
flr-13	447	13	effects	effect	NOUN
flr-13	447	14	on	on	ADP
flr-13	447	15	academic	academic	ADJ
flr-13	447	16	performance	performance	NOUN
flr-13	447	17	at	at	ADP
flr-13	447	18	the	the	DET
flr-13	447	19	time	time	NOUN
flr-13	447	20	of	of	ADP
flr-13	447	21	the	the	DET
flr-13	447	22	assessment	assessment	NOUN
flr-13	447	23	,	,	PUNCT
flr-13	447	24	they	they	PRON
flr-13	447	25	do	do	AUX
flr-13	447	26	inform	inform	VERB
flr-13	447	27	policy	policy	NOUN
flr-13	447	28	and	and	CCONJ
flr-13	447	29	indicate	indicate	VERB
flr-13	447	30	the	the	DET
flr-13	447	31	weight	weight	NOUN
flr-13	447	32	that	that	PRON
flr-13	447	33	many	many	ADJ
flr-13	447	34	social	social	ADJ
flr-13	447	35	and	and	CCONJ
flr-13	447	36	environmental	environmental	ADJ
flr-13	447	37	factors	factor	NOUN
flr-13	447	38	influence	influence	VERB
flr-13	447	39	future	future	ADJ
flr-13	447	40	academic	academic	ADJ
flr-13	447	41	performance	performance	NOUN
flr-13	447	42	.	.	PUNCT
flr-13	448	1	this	this	DET
flr-13	448	2	methodological	methodological	ADJ
flr-13	448	3	and	and	CCONJ
flr-13	448	4	conceptual	conceptual	ADJ
flr-13	448	5	approach	approach	NOUN
flr-13	448	6	allows	allow	VERB
flr-13	448	7	us	we	PRON
flr-13	448	8	to	to	PART
flr-13	448	9	consider	consider	VERB
flr-13	448	10	a	a	DET
flr-13	448	11	large	large	ADJ
flr-13	448	12	number	number	NOUN
flr-13	448	13	of	of	ADP
flr-13	448	14	variables	variable	NOUN
flr-13	448	15	simultaneously	simultaneously	ADV
flr-13	448	16	and	and	CCONJ
flr-13	448	17	select	select	VERB
flr-13	448	18	those	those	PRON
flr-13	448	19	which	which	PRON
flr-13	448	20	are	be	AUX
flr-13	448	21	most	most	ADV
flr-13	448	22	relevant	relevant	ADJ
flr-13	448	23	and	and	CCONJ
flr-13	448	24	allow	allow	VERB
flr-13	448	25	a	a	DET
flr-13	448	26	greater	great	ADJ
flr-13	448	27	degree	degree	NOUN
flr-13	448	28	of	of	ADP
flr-13	448	29	intervention	intervention	NOUN
flr-13	448	30	to	to	PART
flr-13	448	31	improve	improve	VERB
flr-13	448	32	student	student	NOUN
flr-13	448	33	performance	performance	NOUN
flr-13	448	34	,	,	PUNCT
flr-13	448	35	including	include	VERB
flr-13	448	36	early	early	ADJ
flr-13	448	37	intervention	intervention	NOUN
flr-13	448	38	programmes	programme	NOUN
flr-13	448	39	for	for	ADP
flr-13	448	40	students	student	NOUN
flr-13	448	41	in	in	ADP
flr-13	448	42	need	need	NOUN
flr-13	448	43	of	of	ADP
flr-13	448	44	special	special	ADJ
flr-13	448	45	support	support	NOUN
flr-13	448	46	.	.	PUNCT
flr-13	449	1	the	the	DET
flr-13	449	2	capacity	capacity	NOUN
flr-13	449	3	to	to	PART
flr-13	449	4	very	very	ADV
flr-13	449	5	accurately	accurately	ADV
flr-13	449	6	classify	classify	VERB
flr-13	449	7	expected	expect	VERB
flr-13	449	8	student	student	NOUN
flr-13	449	9	performance	performance	NOUN
flr-13	449	10	,	,	PUNCT
flr-13	449	11	which	which	PRON
flr-13	449	12	is	be	AUX
flr-13	449	13	also	also	ADV
flr-13	449	14	what	what	PRON
flr-13	449	15	tests	test	NOUN
flr-13	449	16	attempt	attempt	VERB
flr-13	449	17	to	to	PART
flr-13	449	18	do	do	VERB
flr-13	449	19	,	,	PUNCT
flr-13	449	20	without	without	ADP
flr-13	449	21	the	the	DET
flr-13	449	22	performance	performance	NOUN
flr-13	449	23	sampling	sample	VERB
flr-13	449	24	issues	issue	NOUN
flr-13	449	25	of	of	ADP
flr-13	449	26	traditional	traditional	ADJ
flr-13	449	27	testing	testing	NOUN
flr-13	449	28	,	,	PUNCT
flr-13	449	29	and	and	CCONJ
flr-13	449	30	using	use	VERB
flr-13	449	31	a	a	DET
flr-13	449	32	much	much	ADV
flr-13	449	33	broader	broad	ADJ
flr-13	449	34	spectrum	spectrum	NOUN
flr-13	449	35	of	of	ADP
flr-13	449	36	all	all	DET
flr-13	449	37	factors	factor	NOUN
flr-13	449	38	influencing	influence	VERB
flr-13	449	39	a	a	DET
flr-13	449	40	student‟s	student‟s	ADJ
flr-13	449	41	overall	overall	ADJ
flr-13	449	42	performance	performance	NOUN
flr-13	449	43	,	,	PUNCT
flr-13	449	44	is	be	AUX
flr-13	449	45	a	a	DET
flr-13	449	46	major	major	ADJ
flr-13	449	47	advantage	advantage	NOUN
flr-13	449	48	of	of	ADP
flr-13	449	49	the	the	DET
flr-13	449	50	anns	anns	PROPN
flr-13	449	51	methodology	methodology	NOUN
flr-13	449	52	.	.	PUNCT
flr-13	450	1	in	in	ADP
flr-13	450	2	fact	fact	NOUN
flr-13	450	3	,	,	PUNCT
flr-13	450	4	it	it	PRON
flr-13	450	5	also	also	ADV
flr-13	450	6	represents	represent	VERB
flr-13	450	7	a	a	DET
flr-13	450	8	more	more	ADV
flr-13	450	9	valid	valid	ADJ
flr-13	450	10	approach	approach	NOUN
flr-13	450	11	to	to	ADP
flr-13	450	12	educational	educational	ADJ
flr-13	450	13	assessment	assessment	NOUN
flr-13	450	14	due	due	ADP
flr-13	450	15	to	to	ADP
flr-13	450	16	its	its	PRON
flr-13	450	17	overall	overall	ADJ
flr-13	450	18	accuracy	accuracy	NOUN
flr-13	450	19	and	and	CCONJ
flr-13	450	20	the	the	DET
flr-13	450	21	breadth	breadth	NOUN
flr-13	450	22	of	of	ADP
flr-13	450	23	the	the	DET
flr-13	450	24	constructs	construct	NOUN
flr-13	450	25	considered	consider	VERB
flr-13	450	26	to	to	PART
flr-13	450	27	classify	classify	VERB
flr-13	450	28	the	the	DET
flr-13	450	29	expected	expect	VERB
flr-13	450	30	performance	performance	NOUN
flr-13	450	31	.	.	PUNCT
flr-13	451	1	traditional	traditional	ADJ
flr-13	451	2	assessments	assessment	NOUN
flr-13	451	3	are	be	AUX
flr-13	451	4	not	not	PART
flr-13	451	5	sufficient	sufficient	ADJ
flr-13	451	6	for	for	ADP
flr-13	451	7	more	more	ADJ
flr-13	451	8	complex	complex	ADJ
flr-13	451	9	assessments	assessment	NOUN
flr-13	451	10	or	or	CCONJ
flr-13	451	11	for	for	ADP
flr-13	451	12	assessment	assessment	NOUN
flr-13	451	13	systems	system	NOUN
flr-13	451	14	that	that	PRON
flr-13	451	15	intend	intend	VERB
flr-13	451	16	to	to	PART
flr-13	451	17	serve	serve	VERB
flr-13	451	18	multiple	multiple	ADJ
flr-13	451	19	direct	direct	ADJ
flr-13	451	20	and	and	CCONJ
flr-13	451	21	indirect	indirect	ADJ
flr-13	451	22	purposes	purpose	NOUN
flr-13	451	23	,	,	PUNCT
flr-13	451	24	in	in	ADP
flr-13	451	25	complex	complex	ADJ
flr-13	451	26	educational	educational	ADJ
flr-13	451	27	situations	situation	NOUN
flr-13	451	28	(	(	PUNCT
flr-13	451	29	mislevy	mislevy	NOUN
flr-13	451	30	,	,	PUNCT
flr-13	451	31	2013	2013	NUM
flr-13	451	32	;	;	PUNCT
flr-13	451	33	mislevy	mislevy	NOUN
flr-13	451	34	,	,	PUNCT
flr-13	451	35	steinberg	steinberg	PROPN
flr-13	451	36	,	,	PUNCT
flr-13	451	37	&	&	CCONJ
flr-13	451	38	almond	almond	PROPN
flr-13	451	39	,	,	PUNCT
flr-13	451	40	2003	2003	NUM
flr-13	451	41	)	)	PUNCT
flr-13	451	42	in	in	ADP
flr-13	451	43	this	this	DET
flr-13	451	44	respect	respect	NOUN
flr-13	451	45	,	,	PUNCT
flr-13	451	46	this	this	DET
flr-13	451	47	new	new	ADJ
flr-13	451	48	approach	approach	NOUN
flr-13	451	49	allows	allow	VERB
flr-13	451	50	for	for	ADP
flr-13	451	51	the	the	DET
flr-13	451	52	conceptualization	conceptualization	NOUN
flr-13	451	53	and	and	CCONJ
flr-13	451	54	development	development	NOUN
flr-13	451	55	of	of	ADP
flr-13	451	56	new	new	ADJ
flr-13	451	57	modes	mode	NOUN
flr-13	451	58	of	of	ADP
flr-13	451	59	assessment	assessment	NOUN
flr-13	451	60	which	which	PRON
flr-13	451	61	could	could	AUX
flr-13	451	62	facilitate	facilitate	VERB
flr-13	451	63	breaking	break	VERB
flr-13	451	64	away	away	ADV
flr-13	451	65	from	from	ADP
flr-13	451	66	traditional	traditional	ADJ
flr-13	451	67	forms	form	NOUN
flr-13	451	68	of	of	ADP
flr-13	451	69	testing	testing	NOUN
flr-13	451	70	while	while	SCONJ
flr-13	451	71	at	at	ADP
flr-13	451	72	the	the	DET
flr-13	451	73	same	same	ADJ
flr-13	451	74	time	time	NOUN
flr-13	451	75	improving	improve	VERB
flr-13	451	76	the	the	DET
flr-13	451	77	quality	quality	NOUN
flr-13	451	78	of	of	ADP
flr-13	451	79	the	the	DET
flr-13	451	80	assessment	assessment	NOUN
flr-13	451	81	process	process	NOUN
flr-13	451	82	(	(	PUNCT
flr-13	451	83	segers	seger	NOUN
flr-13	451	84	,	,	PUNCT
flr-13	451	85	dochy	dochy	NOUN
flr-13	451	86	&	&	CCONJ
flr-13	451	87	cascallar	cascallar	ADJ
flr-13	451	88	,	,	PUNCT
flr-13	451	89	2003	2003	NUM
flr-13	451	90	)	)	PUNCT
flr-13	451	91	.	.	PUNCT
flr-13	452	1	finally	finally	ADV
flr-13	452	2	,	,	PUNCT
flr-13	452	3	the	the	DET
flr-13	452	4	use	use	NOUN
flr-13	452	5	of	of	ADP
flr-13	452	6	ann	ann	PROPN
flr-13	452	7	together	together	ADV
flr-13	452	8	with	with	ADP
flr-13	452	9	other	other	ADJ
flr-13	452	10	methods	method	NOUN
flr-13	452	11	as	as	ADP
flr-13	452	12	cluster	cluster	NOUN
flr-13	452	13	analyses	analysis	NOUN
flr-13	452	14	and	and	CCONJ
flr-13	452	15	kohonen	kohonen	PROPN
flr-13	452	16	networks	network	NOUN
flr-13	452	17	could	could	AUX
flr-13	452	18	contribute	contribute	VERB
flr-13	452	19	to	to	ADP
flr-13	452	20	the	the	DET
flr-13	452	21	study	study	NOUN
flr-13	452	22	of	of	ADP
flr-13	452	23	the	the	DET
flr-13	452	24	specific	specific	ADJ
flr-13	452	25	patterns	pattern	NOUN
flr-13	452	26	of	of	ADP
flr-13	452	27	those	those	DET
flr-13	452	28	variables	variable	NOUN
flr-13	452	29	which	which	PRON
flr-13	452	30	influence	influence	VERB
flr-13	452	31	the	the	DET
flr-13	452	32	learning	learning	NOUN
flr-13	452	33	process	process	NOUN
flr-13	452	34	for	for	ADP
flr-13	452	35	each	each	DET
flr-13	452	36	level	level	NOUN
flr-13	452	37	of	of	ADP
flr-13	452	38	performance	performance	NOUN
flr-13	452	39	.	.	PUNCT
flr-13	453	1	in	in	ADP
flr-13	453	2	fact	fact	NOUN
flr-13	453	3	,	,	PUNCT
flr-13	453	4	a	a	DET
flr-13	453	5	major	major	ADJ
flr-13	453	6	observation	observation	NOUN
flr-13	453	7	resulting	result	VERB
flr-13	453	8	from	from	ADP
flr-13	453	9	the	the	DET
flr-13	453	10	data	datum	NOUN
flr-13	453	11	in	in	ADP
flr-13	453	12	this	this	DET
flr-13	453	13	study	study	NOUN
flr-13	453	14	is	be	AUX
flr-13	453	15	that	that	SCONJ
flr-13	453	16	variables	variable	NOUN
flr-13	453	17	contribute	contribute	VERB
flr-13	453	18	to	to	ADP
flr-13	453	19	the	the	DET
flr-13	453	20	prediction	prediction	NOUN
flr-13	453	21	in	in	ADP
flr-13	453	22	relatively	relatively	ADV
flr-13	453	23	small	small	ADJ
flr-13	453	24	proportions	proportion	NOUN
flr-13	453	25	,	,	PUNCT
flr-13	453	26	and	and	CCONJ
flr-13	453	27	it	it	PRON
flr-13	453	28	is	be	AUX
flr-13	453	29	the	the	DET
flr-13	453	30	joint	joint	ADJ
flr-13	453	31	effect	effect	NOUN
flr-13	453	32	of	of	ADP
flr-13	453	33	many	many	ADJ
flr-13	453	34	contributing	contribute	VERB
flr-13	453	35	variables	variable	NOUN
flr-13	453	36	that	that	PRON
flr-13	453	37	could	could	AUX
flr-13	453	38	cause	cause	VERB
flr-13	453	39	significant	significant	ADJ
flr-13	453	40	changes	change	NOUN
flr-13	453	41	in	in	ADP
flr-13	453	42	performance	performance	NOUN
flr-13	453	43	.	.	PUNCT
flr-13	454	1	in	in	ADP
flr-13	454	2	other	other	ADJ
flr-13	454	3	words	word	NOUN
flr-13	454	4	,	,	PUNCT
flr-13	454	5	there	there	PRON
flr-13	454	6	is	be	VERB
flr-13	454	7	no	no	DET
flr-13	454	8	“	"	PUNCT
flr-13	454	9	magic	magic	ADJ
flr-13	454	10	bullet	bullet	NOUN
flr-13	454	11	”	"	PUNCT
flr-13	454	12	,	,	PUNCT
flr-13	454	13	rather	rather	ADV
flr-13	454	14	the	the	DET
flr-13	454	15	accumulation	accumulation	NOUN
flr-13	454	16	of	of	ADP
flr-13	454	17	effects	effect	NOUN
flr-13	454	18	from	from	ADP
flr-13	454	19	all	all	DET
flr-13	454	20	these	these	DET
flr-13	454	21	various	various	ADJ
flr-13	454	22	sources	source	NOUN
flr-13	454	23	that	that	PRON
flr-13	454	24	produces	produce	VERB
flr-13	454	25	significant	significant	ADJ
flr-13	454	26	changes	change	NOUN
flr-13	454	27	in	in	ADP
flr-13	454	28	outcomes	outcome	NOUN
flr-13	454	29	.	.	PUNCT
flr-13	455	1	these	these	DET
flr-13	455	2	results	result	NOUN
flr-13	455	3	provide	provide	VERB
flr-13	455	4	an	an	DET
flr-13	455	5	insight	insight	NOUN
flr-13	455	6	into	into	ADP
flr-13	455	7	learning	learn	VERB
flr-13	455	8	questions	question	NOUN
flr-13	455	9	from	from	ADP
flr-13	455	10	a	a	DET
flr-13	455	11	different	different	ADJ
flr-13	455	12	perspective	perspective	NOUN
flr-13	455	13	and	and	CCONJ
flr-13	455	14	one	one	NUM
flr-13	455	15	that	that	PRON
flr-13	455	16	has	have	VERB
flr-13	455	17	important	important	ADJ
flr-13	455	18	implications	implication	NOUN
flr-13	455	19	for	for	ADP
flr-13	455	20	educational	educational	ADJ
flr-13	455	21	policy	policy	NOUN
flr-13	455	22	and	and	CCONJ
flr-13	455	23	education	education	NOUN
flr-13	455	24	at	at	ADP
flr-13	455	25	large	large	ADJ
flr-13	455	26	.	.	PUNCT
flr-13	456	1	keypoints	keypoint	NOUN
flr-13	456	2	this	this	DET
flr-13	456	3	approach	approach	NOUN
flr-13	456	4	provides	provide	VERB
flr-13	456	5	a	a	DET
flr-13	456	6	more	more	ADV
flr-13	456	7	contextualized	contextualized	ADJ
flr-13	456	8	and	and	CCONJ
flr-13	456	9	encompassing	encompass	VERB
flr-13	456	10	new	new	ADJ
flr-13	456	11	mode	mode	NOUN
flr-13	456	12	of	of	ADP
flr-13	456	13	assessing	assess	VERB
flr-13	456	14	expected	expect	VERB
flr-13	456	15	performance	performance	NOUN
flr-13	456	16	without	without	ADP
flr-13	456	17	some	some	PRON
flr-13	456	18	of	of	ADP
flr-13	456	19	the	the	DET
flr-13	456	20	pitfalls	pitfall	NOUN
flr-13	456	21	found	find	VERB
flr-13	456	22	in	in	ADP
flr-13	456	23	traditional	traditional	ADJ
flr-13	456	24	forms	form	NOUN
flr-13	456	25	of	of	ADP
flr-13	456	26	testing	testing	NOUN
flr-13	456	27	.	.	PUNCT
flr-13	457	1	anns	anns	PROPN
flr-13	457	2	are	be	AUX
flr-13	457	3	a	a	DET
flr-13	457	4	powerful	powerful	ADJ
flr-13	457	5	tool	tool	NOUN
flr-13	457	6	to	to	PART
flr-13	457	7	model	model	VERB
flr-13	457	8	future	future	ADJ
flr-13	457	9	academic	academic	ADJ
flr-13	457	10	performance	performance	NOUN
flr-13	457	11	,	,	PUNCT
flr-13	457	12	specifically	specifically	ADV
flr-13	457	13	in	in	ADP
flr-13	457	14	academic	academic	ADJ
flr-13	457	15	diagnostic	diagnostic	ADJ
flr-13	457	16	evaluations	evaluation	NOUN
flr-13	457	17	for	for	ADP
flr-13	457	18	placement	placement	NOUN
flr-13	457	19	and	and	CCONJ
flr-13	457	20	early	early	ADJ
flr-13	457	21	-	-	PUNCT
flr-13	457	22	warning	warning	NOUN
flr-13	457	23	assessments	assessment	NOUN
flr-13	457	24	.	.	PUNCT
flr-13	458	1	this	this	DET
flr-13	458	2	methodology	methodology	NOUN
flr-13	458	3	demonstrates	demonstrate	VERB
flr-13	458	4	that	that	SCONJ
flr-13	458	5	variables	variable	NOUN
flr-13	458	6	impacting	impact	VERB
flr-13	458	7	the	the	DET
flr-13	458	8	outcome	outcome	NOUN
flr-13	458	9	of	of	ADP
flr-13	458	10	the	the	DET
flr-13	458	11	learning	learning	NOUN
flr-13	458	12	process	process	NOUN
flr-13	458	13	are	be	AUX
flr-13	458	14	embedded	embed	VERB
flr-13	458	15	in	in	ADP
flr-13	458	16	specific	specific	ADJ
flr-13	458	17	large	large	ADJ
flr-13	458	18	-	-	PUNCT
flr-13	458	19	scale	scale	NOUN
flr-13	458	20	patterns	pattern	NOUN
flr-13	458	21	which	which	PRON
flr-13	458	22	determine	determine	VERB
flr-13	458	23	their	their	PRON
flr-13	458	24	degree	degree	NOUN
flr-13	458	25	of	of	ADP
flr-13	458	26	influence	influence	NOUN
flr-13	458	27	and	and	CCONJ
flr-13	458	28	direction	direction	NOUN
flr-13	458	29	of	of	ADP
flr-13	458	30	their	their	PRON
flr-13	458	31	effects	effect	NOUN
flr-13	458	32	.	.	PUNCT
flr-13	459	1	a	a	DET
flr-13	459	2	predictive	predictive	ADJ
flr-13	459	3	systems	system	NOUN
flr-13	459	4	approach	approach	NOUN
flr-13	459	5	is	be	AUX
flr-13	459	6	a	a	DET
flr-13	459	7	valuable	valuable	ADJ
flr-13	459	8	method	method	NOUN
flr-13	459	9	to	to	PART
flr-13	459	10	study	study	VERB
flr-13	459	11	the	the	DET
flr-13	459	12	specific	specific	ADJ
flr-13	459	13	patterns	pattern	NOUN
flr-13	459	14	of	of	ADP
flr-13	459	15	variables	variable	NOUN
flr-13	459	16	influencing	influence	VERB
flr-13	459	17	the	the	DET
flr-13	459	18	learning	learning	NOUN
flr-13	459	19	process	process	NOUN
flr-13	459	20	at	at	ADP
flr-13	459	21	each	each	DET
flr-13	459	22	level	level	NOUN
flr-13	459	23	of	of	ADP
flr-13	459	24	expected	expect	VERB
flr-13	459	25	performance	performance	NOUN
flr-13	459	26	,	,	PUNCT
flr-13	459	27	to	to	PART
flr-13	459	28	better	well	ADV
flr-13	459	29	understand	understand	VERB
flr-13	459	30	the	the	DET
flr-13	459	31	determinants	determinant	NOUN
flr-13	459	32	of	of	ADP
flr-13	459	33	learning	learn	VERB
flr-13	459	34	outcomes	outcome	NOUN
flr-13	459	35	and	and	CCONJ
flr-13	459	36	ways	way	NOUN
flr-13	459	37	to	to	PART
flr-13	459	38	improve	improve	VERB
flr-13	459	39	them	they	PRON
flr-13	459	40	with	with	ADP
flr-13	459	41	early	early	ADJ
flr-13	459	42	interventions	intervention	NOUN
flr-13	459	43	.	.	PUNCT
flr-13	460	1	references	reference	NOUN
flr-13	460	2	abu	abu	PROPN
flr-13	460	3	naser	naser	PROPN
flr-13	460	4	,	,	PUNCT
flr-13	460	5	s.	s.	PROPN
flr-13	460	6	s.	s.	PROPN
flr-13	460	7	(	(	PUNCT
flr-13	460	8	2012	2012	NUM
flr-13	460	9	)	)	PUNCT
flr-13	460	10	.	.	PUNCT
flr-13	461	1	predicting	predict	VERB
flr-13	461	2	learners	learner	NOUN
flr-13	461	3	performance	performance	NOUN
flr-13	461	4	using	use	VERB
flr-13	461	5	artificial	artificial	ADJ
flr-13	461	6	neural	neural	ADJ
flr-13	461	7	networks	network	NOUN
flr-13	461	8	in	in	ADP
flr-13	461	9	linear	linear	ADJ
flr-13	461	10	programming	programming	NOUN
flr-13	461	11	intelligent	intelligent	ADJ
flr-13	461	12	tutoring	tutoring	NOUN
flr-13	461	13	system	system	NOUN
flr-13	461	14	.	.	PUNCT
flr-13	462	1	international	international	ADJ
flr-13	462	2	journal	journal	PROPN
flr-13	462	3	of	of	ADP
flr-13	462	4	artificial	artificial	ADJ
flr-13	462	5	intelligence	intelligence	NOUN
flr-13	462	6	&	&	CCONJ
flr-13	462	7	applications	application	NOUN
flr-13	462	8	(	(	PUNCT
flr-13	462	9	ijaia	ijaia	PROPN
flr-13	462	10	)	)	PUNCT
flr-13	462	11	,	,	PUNCT
flr-13	462	12	3(2	3(2	NUM
flr-13	462	13	)	)	PUNCT
flr-13	462	14	,	,	PUNCT
flr-13	462	15	65	65	NUM
flr-13	462	16	-	-	SYM
flr-13	462	17	73	73	NUM
flr-13	462	18	anderson	anderson	PROPN
flr-13	462	19	,	,	PUNCT
flr-13	462	20	j.	j.	PROPN
flr-13	462	21	r.	r.	PROPN
flr-13	462	22	(	(	PUNCT
flr-13	462	23	1983	1983	NUM
flr-13	462	24	)	)	PUNCT
flr-13	462	25	.	.	PUNCT
flr-13	463	1	the	the	DET
flr-13	463	2	architecture	architecture	NOUN
flr-13	463	3	of	of	ADP
flr-13	463	4	cognition	cognition	NOUN
flr-13	463	5	.	.	PUNCT
flr-13	464	1	cambridge	cambridge	PROPN
flr-13	464	2	,	,	PUNCT
flr-13	464	3	ma	ma	PROPN
flr-13	464	4	:	:	PUNCT
flr-13	464	5	harvard	harvard	PROPN
flr-13	464	6	university	university	PROPN
flr-13	464	7	press	press	NOUN
flr-13	464	8	.	.	PUNCT
flr-13	465	1	anderson	anderson	PROPN
flr-13	465	2	,	,	PUNCT
flr-13	465	3	j.	j.	PROPN
flr-13	465	4	r.	r.	PROPN
flr-13	465	5	(	(	PUNCT
flr-13	465	6	1993	1993	NUM
flr-13	465	7	)	)	PUNCT
flr-13	465	8	.	.	PUNCT
flr-13	466	1	rules	rule	NOUN
flr-13	466	2	of	of	ADP
flr-13	466	3	the	the	DET
flr-13	466	4	mind	mind	NOUN
flr-13	466	5	.	.	PUNCT
flr-13	467	1	hillsdale	hillsdale	PROPN
flr-13	467	2	,	,	PUNCT
flr-13	467	3	nj	nj	PROPN
flr-13	467	4	:	:	PUNCT
flr-13	467	5	lawrence	lawrence	PROPN
flr-13	467	6	erlbaum	erlbaum	PROPN
flr-13	467	7	associates	associates	PROPN
flr-13	467	8	.	.	PUNCT
flr-13	468	1	anderson	anderson	PROPN
flr-13	468	2	,	,	PUNCT
flr-13	468	3	j.	j.	PROPN
flr-13	468	4	r.	r.	PROPN
flr-13	468	5	(	(	PUNCT
flr-13	468	6	2002	2002	NUM
flr-13	468	7	)	)	PUNCT
flr-13	468	8	.	.	PUNCT
flr-13	469	1	spanning	span	VERB
flr-13	469	2	seven	seven	NUM
flr-13	469	3	orders	order	NOUN
flr-13	469	4	of	of	ADP
flr-13	469	5	magnitude	magnitude	NOUN
flr-13	469	6	:	:	PUNCT
flr-13	469	7	a	a	DET
flr-13	469	8	challenge	challenge	NOUN
flr-13	469	9	for	for	ADP
flr-13	469	10	cognitive	cognitive	ADJ
flr-13	469	11	modeling	modeling	NOUN
flr-13	469	12	.	.	PUNCT
flr-13	470	1	cognitive	cognitive	ADJ
flr-13	470	2	science	science	NOUN
flr-13	470	3	,	,	PUNCT
flr-13	470	4	26	26	NUM
flr-13	470	5	,	,	PUNCT
flr-13	470	6	85–112	85–112	NUM
flr-13	470	7	.	.	PUNCT
flr-13	470	8	m.	m.	PROPN
flr-13	470	9	f.	f.	PROPN
flr-13	470	10	musso	musso	PROPN
flr-13	470	11	et	et	PROPN
flr-13	470	12	al	al	PROPN
flr-13	470	13	.	.	PROPN
flr-13	470	14	66	66	NUM
flr-13	471	1	|	|	ADV
flr-13	471	2	f	f	NOUN
flr-13	471	3	l	l	NOUN
flr-13	471	4	r	r	PROPN
flr-13	471	5	anderson	anderson	PROPN
flr-13	471	6	,	,	PUNCT
flr-13	471	7	j.	j.	PROPN
flr-13	471	8	r.	r.	PROPN
flr-13	471	9	(	(	PUNCT
flr-13	471	10	2007	2007	NUM
flr-13	471	11	)	)	PUNCT
flr-13	471	12	how	how	SCONJ
flr-13	471	13	can	can	AUX
flr-13	471	14	the	the	DET
flr-13	471	15	human	human	ADJ
flr-13	471	16	mind	mind	NOUN
flr-13	471	17	occur	occur	VERB
flr-13	471	18	in	in	ADP
flr-13	471	19	the	the	DET
flr-13	471	20	physical	physical	ADJ
flr-13	471	21	universe	universe	NOUN
flr-13	471	22	?	?	PUNCT
flr-13	472	1	new	new	PROPN
flr-13	472	2	york	york	PROPN
flr-13	472	3	:	:	PUNCT
flr-13	472	4	oxford	oxford	PROPN
flr-13	472	5	university	university	PROPN
flr-13	472	6	press	press	NOUN
flr-13	472	7	.	.	PUNCT
flr-13	473	1	anderson	anderson	PROPN
flr-13	473	2	,	,	PUNCT
flr-13	473	3	j.	j.	PROPN
flr-13	473	4	r.	r.	PROPN
flr-13	473	5	,	,	PUNCT
flr-13	473	6	bothell	bothell	PROPN
flr-13	473	7	,	,	PUNCT
flr-13	473	8	d.	d.	PROPN
flr-13	473	9	,	,	PUNCT
flr-13	473	10	byrne	byrne	PROPN
flr-13	473	11	,	,	PUNCT
flr-13	473	12	m.	m.	NOUN
flr-13	473	13	d.	d.	PROPN
flr-13	473	14	,	,	PUNCT
flr-13	473	15	douglass	douglass	PROPN
flr-13	473	16	s.	s.	PROPN
flr-13	473	17	,	,	PUNCT
flr-13	473	18	lebiere	lebiere	PROPN
flr-13	473	19	,	,	PUNCT
flr-13	473	20	c.	c.	PROPN
flr-13	473	21	,	,	PUNCT
flr-13	473	22	&	&	CCONJ
flr-13	473	23	yulin	yulin	NOUN
flr-13	473	24	,	,	PUNCT
flr-13	473	25	q.	q.	PROPN
flr-13	473	26	(	(	PUNCT
flr-13	473	27	2004	2004	NUM
flr-13	473	28	)	)	PUNCT
flr-13	473	29	.	.	PUNCT
flr-13	474	1	an	an	DET
flr-13	474	2	integrated	integrate	VERB
flr-13	474	3	theory	theory	NOUN
flr-13	474	4	of	of	ADP
flr-13	474	5	the	the	DET
flr-13	474	6	mind	mind	NOUN
flr-13	474	7	.	.	PUNCT
flr-13	475	1	psychological	psychological	ADJ
flr-13	475	2	review	review	NOUN
flr-13	475	3	,	,	PUNCT
flr-13	475	4	111(4	111(4	NUM
flr-13	475	5	)	)	PUNCT
flr-13	475	6	,	,	PUNCT
flr-13	475	7	1036–1060	1036–1060	NUM
flr-13	475	8	.	.	PUNCT
flr-13	476	1	baddeley	baddeley	PROPN
flr-13	476	2	,	,	PUNCT
flr-13	476	3	a.	a.	PROPN
flr-13	476	4	d.	d.	PROPN
flr-13	476	5	(	(	PUNCT
flr-13	476	6	1986	1986	NUM
flr-13	476	7	)	)	PUNCT
flr-13	476	8	.	.	PUNCT
flr-13	477	1	working	work	VERB
flr-13	477	2	memory	memory	NOUN
flr-13	477	3	.	.	PUNCT
flr-13	478	1	oxford	oxford	PROPN
flr-13	478	2	:	:	PUNCT
flr-13	478	3	clarendon	clarendon	PROPN
flr-13	478	4	press	press	PROPN
flr-13	478	5	.	.	PUNCT
flr-13	479	1	bansal	bansal	NOUN
flr-13	479	2	,	,	PUNCT
flr-13	479	3	a.	a.	PROPN
flr-13	479	4	,	,	PUNCT
flr-13	479	5	kauffman	kauffman	PROPN
flr-13	479	6	,	,	PUNCT
flr-13	479	7	r.	r.	PROPN
flr-13	479	8	j.	j.	PROPN
flr-13	479	9	,	,	PUNCT
flr-13	479	10	&	&	CCONJ
flr-13	479	11	weitz	weitz	PROPN
flr-13	479	12	,	,	PUNCT
flr-13	479	13	r.	r.	PROPN
flr-13	479	14	r.	r.	PROPN
flr-13	479	15	(	(	PUNCT
flr-13	479	16	1993	1993	NUM
flr-13	479	17	)	)	PUNCT
flr-13	479	18	.	.	PUNCT
flr-13	480	1	comparing	compare	VERB
flr-13	480	2	the	the	DET
flr-13	480	3	modeling	modeling	NOUN
flr-13	480	4	performance	performance	NOUN
flr-13	480	5	of	of	ADP
flr-13	480	6	regression	regression	NOUN
flr-13	480	7	and	and	CCONJ
flr-13	480	8	neural	neural	ADJ
flr-13	480	9	networks	network	NOUN
flr-13	480	10	as	as	SCONJ
flr-13	480	11	data	datum	NOUN
flr-13	480	12	quality	quality	NOUN
flr-13	480	13	varies	vary	VERB
flr-13	480	14	:	:	PUNCT
flr-13	480	15	a	a	DET
flr-13	480	16	business	business	NOUN
flr-13	480	17	value	value	NOUN
flr-13	480	18	approach	approach	NOUN
flr-13	480	19	.	.	PUNCT
flr-13	481	1	journal	journal	NOUN
flr-13	481	2	of	of	ADP
flr-13	481	3	managemnet	managemnet	PROPN
flr-13	481	4	informations	information	NOUN
flr-13	481	5	systems	system	NOUN
flr-13	481	6	,	,	PUNCT
flr-13	481	7	10(1	10(1	NUM
flr-13	481	8	)	)	PUNCT
flr-13	481	9	,	,	PUNCT
flr-13	481	10	1132	1132	NUM
flr-13	481	11	.	.	PUNCT
flr-13	482	1	bekele	bekele	PROPN
flr-13	482	2	,	,	PUNCT
flr-13	482	3	r.	r.	PROPN
flr-13	482	4	,	,	PUNCT
flr-13	482	5	&	&	CCONJ
flr-13	482	6	mcpherson	mcpherson	PROPN
flr-13	482	7	,	,	PUNCT
flr-13	482	8	m.	m.	NOUN
flr-13	482	9	(	(	PUNCT
flr-13	482	10	2011).a	2011).a	NUM
flr-13	482	11	bayesian	bayesian	NOUN
flr-13	482	12	performance	performance	NOUN
flr-13	482	13	prediction	prediction	NOUN
flr-13	482	14	model	model	NOUN
flr-13	482	15	for	for	ADP
flr-13	482	16	mathematics	mathematics	NOUN
flr-13	482	17	education	education	NOUN
flr-13	482	18	:	:	PUNCT
flr-13	482	19	a	a	DET
flr-13	482	20	prototypical	prototypical	ADJ
flr-13	482	21	approach	approach	NOUN
flr-13	482	22	for	for	ADP
flr-13	482	23	effective	effective	ADJ
flr-13	482	24	group	group	NOUN
flr-13	482	25	composition	composition	NOUN
flr-13	482	26	.	.	PUNCT
flr-13	483	1	british	british	ADJ
flr-13	483	2	journal	journal	PROPN
flr-13	483	3	of	of	ADP
flr-13	483	4	educational	educational	ADJ
flr-13	483	5	technology	technology	NOUN
flr-13	483	6	,	,	PUNCT
flr-13	483	7	42(3	42(3	NUM
flr-13	483	8	)	)	PUNCT
flr-13	483	9	,	,	PUNCT
flr-13	483	10	395–416	395–416	NUM
flr-13	483	11	.	.	PUNCT
flr-13	484	1	biggs	biggs	PROPN
flr-13	484	2	,	,	PUNCT
flr-13	484	3	j.	j.	PROPN
flr-13	484	4	(	(	PUNCT
flr-13	484	5	1987	1987	NUM
flr-13	484	6	)	)	PUNCT
flr-13	484	7	.	.	PUNCT
flr-13	485	1	study	study	NOUN
flr-13	485	2	process	process	NOUN
flr-13	485	3	questionnaire	questionnaire	NOUN
flr-13	485	4	manual	manual	NOUN
flr-13	485	5	.	.	PUNCT
flr-13	486	1	melbourne	melbourne	PROPN
flr-13	486	2	,	,	PUNCT
flr-13	486	3	australia	australia	PROPN
flr-13	486	4	:	:	PUNCT
flr-13	486	5	australian	australian	ADJ
flr-13	486	6	council	council	NOUN
flr-13	486	7	for	for	ADP
flr-13	486	8	educational	educational	ADJ
flr-13	486	9	research	research	NOUN
flr-13	486	10	.	.	PUNCT
flr-13	487	1	birenbaum	birenbaum	ADV
flr-13	487	2	,	,	PUNCT
flr-13	487	3	m.	m.	NOUN
flr-13	487	4	,	,	PUNCT
flr-13	487	5	breuer	breuer	PROPN
flr-13	487	6	,	,	PUNCT
flr-13	487	7	k.	k.	PROPN
flr-13	487	8	,	,	PUNCT
flr-13	487	9	cascallar	cascallar	PROPN
flr-13	487	10	,	,	PUNCT
flr-13	487	11	e.	e.	PROPN
flr-13	487	12	,	,	PUNCT
flr-13	487	13	dochy	dochy	NOUN
flr-13	487	14	,	,	PUNCT
flr-13	487	15	f.	f.	PROPN
flr-13	487	16	,	,	PUNCT
flr-13	487	17	dori	dori	PROPN
flr-13	487	18	,	,	PUNCT
flr-13	487	19	y	y	PROPN
flr-13	487	20	,	,	PUNCT
flr-13	487	21	ridgway	ridgway	PROPN
flr-13	487	22	,	,	PUNCT
flr-13	487	23	j	j	PROPN
flr-13	487	24	,	,	PUNCT
flr-13	487	25	wiesemes	wieseme	NOUN
flr-13	487	26	,	,	PUNCT
flr-13	487	27	r.	r.	PROPN
flr-13	487	28	(	(	PUNCT
flr-13	487	29	2006	2006	NUM
flr-13	487	30	)	)	PUNCT
flr-13	487	31	,	,	PUNCT
flr-13	487	32	&	&	CCONJ
flr-13	487	33	nickmans	nickmans	PROPN
flr-13	487	34	,	,	PUNCT
flr-13	487	35	g.	g.	PROPN
flr-13	487	36	(	(	PUNCT
flr-13	487	37	editor	editor	NOUN
flr-13	487	38	)	)	PUNCT
flr-13	487	39	.	.	PUNCT
flr-13	488	1	a	a	DET
flr-13	488	2	learning	learn	VERB
flr-13	488	3	integrated	integrate	VERB
flr-13	488	4	assessment	assessment	NOUN
flr-13	488	5	system	system	NOUN
flr-13	488	6	.	.	PUNCT
flr-13	489	1	educational	educational	ADJ
flr-13	489	2	research	research	PROPN
flr-13	489	3	review	review	PROPN
flr-13	489	4	,	,	PUNCT
flr-13	489	5	1	1	NUM
flr-13	489	6	,	,	PUNCT
flr-13	489	7	61	61	NUM
flr-13	489	8	-	-	SYM
flr-13	489	9	67	67	NUM
flr-13	489	10	.	.	PUNCT
flr-13	490	1	boekaerts	boekaert	NOUN
flr-13	490	2	,	,	PUNCT
flr-13	490	3	m.	m.	NOUN
flr-13	490	4	,	,	PUNCT
flr-13	490	5	&	&	CCONJ
flr-13	490	6	cascallar	cascallar	PROPN
flr-13	490	7	,	,	PUNCT
flr-13	490	8	e.	e.	PROPN
flr-13	490	9	(	(	PUNCT
flr-13	490	10	2006	2006	NUM
flr-13	490	11	)	)	PUNCT
flr-13	490	12	.	.	PUNCT
flr-13	491	1	how	how	SCONJ
flr-13	491	2	far	far	ADV
flr-13	491	3	have	have	AUX
flr-13	491	4	we	we	PRON
flr-13	491	5	moved	move	VERB
flr-13	491	6	toward	toward	ADP
flr-13	491	7	the	the	DET
flr-13	491	8	integration	integration	NOUN
flr-13	491	9	of	of	ADP
flr-13	491	10	theory	theory	NOUN
flr-13	491	11	and	and	CCONJ
flr-13	491	12	practice	practice	NOUN
flr-13	491	13	in	in	ADP
flr-13	491	14	self	self	NOUN
flr-13	491	15	-	-	PUNCT
flr-13	491	16	regulation	regulation	NOUN
flr-13	491	17	?	?	PUNCT
flr-13	492	1	educational	educational	ADJ
flr-13	492	2	psychology	psychology	NOUN
flr-13	492	3	review	review	PROPN
flr-13	492	4	,	,	PUNCT
flr-13	492	5	18(3	18(3	NUM
flr-13	492	6	)	)	PUNCT
flr-13	492	7	,	,	PUNCT
flr-13	492	8	199	199	NUM
flr-13	492	9	-	-	SYM
flr-13	492	10	210	210	NUM
flr-13	492	11	.	.	PUNCT
flr-13	493	1	boekaerts	boekaert	NOUN
flr-13	493	2	,	,	PUNCT
flr-13	493	3	m.	m.	NOUN
flr-13	493	4	&	&	CCONJ
flr-13	493	5	cascallar	cascallar	PROPN
flr-13	493	6	,	,	PUNCT
flr-13	493	7	e.	e.	PROPN
flr-13	493	8	c.	c.	PROPN
flr-13	493	9	(	(	PUNCT
flr-13	493	10	2011	2011	NUM
flr-13	493	11	)	)	PUNCT
flr-13	493	12	.	.	PUNCT
flr-13	494	1	predicting	predict	VERB
flr-13	494	2	and	and	CCONJ
flr-13	494	3	explaining	explain	VERB
flr-13	494	4	writing	write	VERB
flr-13	494	5	outcomes	outcome	NOUN
flr-13	494	6	:	:	PUNCT
flr-13	494	7	neural	neural	ADJ
flr-13	494	8	network	network	NOUN
flr-13	494	9	methodology	methodology	NOUN
flr-13	494	10	at	at	ADP
flr-13	494	11	work	work	NOUN
flr-13	494	12	.	.	PUNCT
flr-13	495	1	symposium	symposium	NOUN
flr-13	495	2	:	:	PUNCT
flr-13	495	3	predicting	predict	VERB
flr-13	495	4	academic	academic	ADJ
flr-13	495	5	performance	performance	NOUN
flr-13	495	6	with	with	ADP
flr-13	495	7	the	the	DET
flr-13	495	8	use	use	NOUN
flr-13	495	9	of	of	ADP
flr-13	495	10	predictive	predictive	ADJ
flr-13	495	11	systems	system	NOUN
flr-13	495	12	analysis	analysis	NOUN
flr-13	495	13	.	.	PUNCT
flr-13	496	1	proceedings	proceeding	NOUN
flr-13	496	2	of	of	ADP
flr-13	496	3	the	the	DET
flr-13	496	4	biennial	biennial	ADJ
flr-13	496	5	conference	conference	NOUN
flr-13	496	6	of	of	ADP
flr-13	496	7	the	the	DET
flr-13	496	8	european	european	PROPN
flr-13	496	9	association	association	PROPN
flr-13	496	10	for	for	ADP
flr-13	496	11	research	research	NOUN
flr-13	496	12	on	on	ADP
flr-13	496	13	learning	learning	NOUN
flr-13	496	14	and	and	CCONJ
flr-13	496	15	instruction	instruction	NOUN
flr-13	496	16	(	(	PUNCT
flr-13	496	17	earli	earli	NOUN
flr-13	496	18	)	)	PUNCT
flr-13	496	19	.	.	PUNCT
flr-13	497	1	exeter	exeter	PROPN
flr-13	497	2	,	,	PUNCT
flr-13	497	3	uk	uk	PROPN
flr-13	497	4	,	,	PUNCT
flr-13	497	5	30	30	NUM
flr-13	497	6	august	august	NOUN
flr-13	497	7	–	–	PUNCT
flr-13	497	8	3	3	NUM
flr-13	497	9	september	september	PROPN
flr-13	497	10	2011	2011	NUM
flr-13	497	11	.	.	PUNCT
flr-13	498	1	braten	braten	NOUN
flr-13	498	2	,	,	PUNCT
flr-13	498	3	i.	i.	PROPN
flr-13	498	4	&	&	CCONJ
flr-13	498	5	stromso	stromso	PROPN
flr-13	498	6	,	,	PUNCT
flr-13	498	7	h.	h.	PROPN
flr-13	498	8	(	(	PUNCT
flr-13	498	9	2006	2006	NUM
flr-13	498	10	)	)	PUNCT
flr-13	498	11	.	.	PUNCT
flr-13	499	1	epistemological	epistemological	ADJ
flr-13	499	2	beliefs	belief	NOUN
flr-13	499	3	,	,	PUNCT
flr-13	499	4	interest	interest	NOUN
flr-13	499	5	,	,	PUNCT
flr-13	499	6	and	and	CCONJ
flr-13	499	7	gender	gender	NOUN
flr-13	499	8	as	as	ADP
flr-13	499	9	predictors	predictor	NOUN
flr-13	499	10	of	of	ADP
flr-13	499	11	internet	internet	NOUN
flr-13	499	12	-	-	PUNCT
flr-13	499	13	based	base	VERB
flr-13	499	14	learning	learning	NOUN
flr-13	499	15	activities	activity	NOUN
flr-13	499	16	.	.	PUNCT
flr-13	500	1	computers	computer	NOUN
flr-13	500	2	in	in	ADP
flr-13	500	3	human	human	ADJ
flr-13	500	4	behavior	behavior	NOUN
flr-13	500	5	,	,	PUNCT
flr-13	500	6	22	22	NUM
flr-13	500	7	,	,	PUNCT
flr-13	500	8	1027	1027	NUM
flr-13	500	9	-	-	SYM
flr-13	500	10	1042	1042	NUM
flr-13	500	11	.	.	PUNCT
flr-13	501	1	cascallar	cascallar	ADJ
flr-13	501	2	,	,	PUNCT
flr-13	501	3	e.	e.	PROPN
flr-13	501	4	c.	c.	PROPN
flr-13	501	5	,	,	PUNCT
flr-13	501	6	boekaerts	boekaert	NOUN
flr-13	501	7	,	,	PUNCT
flr-13	501	8	m.	m.	NOUN
flr-13	501	9	,	,	PUNCT
flr-13	501	10	&	&	CCONJ
flr-13	501	11	costigan	costigan	NOUN
flr-13	501	12	,	,	PUNCT
flr-13	501	13	t.	t.	PROPN
flr-13	501	14	e.	e.	PROPN
flr-13	501	15	(	(	PUNCT
flr-13	501	16	2006	2006	NUM
flr-13	501	17	)	)	PUNCT
flr-13	501	18	assessment	assessment	NOUN
flr-13	501	19	in	in	ADP
flr-13	501	20	the	the	DET
flr-13	501	21	evaluation	evaluation	NOUN
flr-13	501	22	of	of	ADP
flr-13	501	23	selfregulation	selfregulation	NOUN
flr-13	501	24	as	as	ADP
flr-13	501	25	a	a	DET
flr-13	501	26	process	process	NOUN
flr-13	501	27	,	,	PUNCT
flr-13	501	28	educational	educational	ADJ
flr-13	501	29	psychology	psychology	NOUN
flr-13	501	30	review	review	NOUN
flr-13	501	31	,	,	PUNCT
flr-13	501	32	18(3	18(3	NUM
flr-13	501	33	)	)	PUNCT
flr-13	501	34	,	,	PUNCT
flr-13	501	35	297	297	NUM
flr-13	501	36	-	-	SYM
flr-13	501	37	306	306	NUM
flr-13	501	38	.	.	PUNCT
flr-13	502	1	cascallar	cascallar	ADJ
flr-13	502	2	,	,	PUNCT
flr-13	502	3	e.	e.	PROPN
flr-13	502	4	c.	c.	PROPN
flr-13	502	5	,	,	PUNCT
flr-13	502	6	&	&	CCONJ
flr-13	502	7	musso	musso	PROPN
flr-13	502	8	,	,	PUNCT
flr-13	502	9	m.	m.	PROPN
flr-13	502	10	f.	f.	PROPN
flr-13	502	11	(	(	PUNCT
flr-13	502	12	2008	2008	NUM
flr-13	502	13	)	)	PUNCT
flr-13	502	14	.	.	PUNCT
flr-13	503	1	classificatory	classificatory	ADJ
flr-13	503	2	stream	stream	NOUN
flr-13	503	3	analysis	analysis	NOUN
flr-13	503	4	in	in	ADP
flr-13	503	5	the	the	DET
flr-13	503	6	prediction	prediction	NOUN
flr-13	503	7	of	of	ADP
flr-13	503	8	expected	expected	ADJ
flr-13	503	9	reading	reading	NOUN
flr-13	503	10	readiness	readiness	NOUN
flr-13	503	11	:	:	PUNCT
flr-13	503	12	understanding	understand	VERB
flr-13	503	13	student	student	NOUN
flr-13	503	14	performance	performance	NOUN
flr-13	503	15	.	.	PUNCT
flr-13	504	1	international	international	ADJ
flr-13	504	2	journal	journal	PROPN
flr-13	504	3	of	of	ADP
flr-13	504	4	psychology	psychology	NOUN
flr-13	504	5	,	,	PUNCT
flr-13	504	6	proceedings	proceeding	NOUN
flr-13	504	7	of	of	ADP
flr-13	504	8	the	the	DET
flr-13	504	9	xxix	xxix	PROPN
flr-13	504	10	international	international	PROPN
flr-13	504	11	congress	congress	PROPN
flr-13	504	12	of	of	ADP
flr-13	504	13	psychology	psychology	NOUN
flr-13	504	14	icp	icp	PROPN
flr-13	504	15	2008	2008	NUM
flr-13	504	16	,	,	PUNCT
flr-13	504	17	43(43/44	43(43/44	NOUN
flr-13	504	18	)	)	PUNCT
flr-13	504	19	,	,	PUNCT
flr-13	504	20	231-.231	231-.231	NUM
flr-13	504	21	.	.	PUNCT
flr-13	505	1	castejón	castejón	PROPN
flr-13	505	2	,	,	PUNCT
flr-13	505	3	j.	j.	PROPN
flr-13	505	4	l.	l.	PROPN
flr-13	505	5	,	,	PUNCT
flr-13	505	6	&	&	CCONJ
flr-13	505	7	navas	navas	PROPN
flr-13	505	8	,	,	PUNCT
flr-13	505	9	l.	l.	PROPN
flr-13	505	10	(	(	PUNCT
flr-13	505	11	1992	1992	NUM
flr-13	505	12	)	)	PUNCT
flr-13	505	13	.	.	PUNCT
flr-13	506	1	determinantes	determinante	NOUN
flr-13	506	2	del	del	PROPN
flr-13	506	3	rendimiento	rendimiento	PROPN
flr-13	506	4	académico	académico	PROPN
flr-13	506	5	en	en	X
flr-13	506	6	la	la	PROPN
flr-13	506	7	educación	educación	PROPN
flr-13	506	8	secundaria	secundaria	PROPN
flr-13	506	9	.	.	PROPN
flr-13	507	1	un	un	PROPN
flr-13	507	2	modelo	modelo	PROPN
flr-13	507	3	causal	causal	PROPN
flr-13	507	4	.	.	PUNCT
flr-13	508	1	[	[	X
flr-13	508	2	determinants	determinant	NOUN
flr-13	508	3	of	of	ADP
flr-13	508	4	academic	academic	ADJ
flr-13	508	5	achievement	achievement	NOUN
flr-13	508	6	in	in	ADP
flr-13	508	7	secondary	secondary	ADJ
flr-13	508	8	education	education	NOUN
flr-13	508	9	.	.	PUNCT
flr-13	509	1	a	a	DET
flr-13	509	2	causal	causal	ADJ
flr-13	509	3	model	model	NOUN
flr-13	509	4	]	]	PUNCT
flr-13	509	5	.	.	PUNCT
flr-13	510	1	análisis	análisis	PROPN
flr-13	510	2	y	y	PROPN
flr-13	510	3	modificación	modificación	PROPN
flr-13	510	4	de	de	PROPN
flr-13	510	5	conducta	conducta	PROPN
flr-13	510	6	,	,	PUNCT
flr-13	510	7	18(61	18(61	NUM
flr-13	510	8	)	)	PUNCT
flr-13	510	9	,	,	PUNCT
flr-13	510	10	697	697	NUM
flr-13	510	11	-	-	SYM
flr-13	510	12	728	728	NUM
flr-13	510	13	.	.	PUNCT
flr-13	511	1	cattell	cattell	PROPN
flr-13	511	2	,	,	PUNCT
flr-13	511	3	r.	r.	PROPN
flr-13	511	4	b.	b.	PROPN
flr-13	511	5	(	(	PUNCT
flr-13	511	6	1971	1971	NUM
flr-13	511	7	)	)	PUNCT
flr-13	511	8	.	.	PUNCT
flr-13	512	1	abilities	ability	NOUN
flr-13	512	2	:	:	PUNCT
flr-13	512	3	structure	structure	NOUN
flr-13	512	4	,	,	PUNCT
flr-13	512	5	growth	growth	NOUN
flr-13	512	6	and	and	CCONJ
flr-13	512	7	action	action	NOUN
flr-13	512	8	.	.	PUNCT
flr-13	513	1	boston	boston	PROPN
flr-13	513	2	:	:	PUNCT
flr-13	513	3	houghton	houghton	PROPN
flr-13	513	4	mifflin	mifflin	PROPN
flr-13	513	5	.	.	PUNCT
flr-13	514	1	chamorro	chamorro	PROPN
flr-13	514	2	-	-	PUNCT
flr-13	514	3	premuzic	premuzic	ADJ
flr-13	514	4	,	,	PUNCT
flr-13	514	5	t.	t.	PROPN
flr-13	514	6	,	,	PUNCT
flr-13	514	7	&	&	CCONJ
flr-13	514	8	arteche	arteche	PROPN
flr-13	514	9	,	,	PUNCT
flr-13	514	10	a.	a.	NOUN
flr-13	514	11	(	(	PUNCT
flr-13	514	12	2008	2008	NUM
flr-13	514	13	)	)	PUNCT
flr-13	514	14	.	.	PUNCT
flr-13	515	1	intellectual	intellectual	ADJ
flr-13	515	2	competence	competence	NOUN
flr-13	515	3	and	and	CCONJ
flr-13	515	4	academic	academic	ADJ
flr-13	515	5	performance	performance	NOUN
flr-13	515	6	:	:	PUNCT
flr-13	515	7	preliminary	preliminary	ADJ
flr-13	515	8	validation	validation	NOUN
flr-13	515	9	of	of	ADP
flr-13	515	10	a	a	DET
flr-13	515	11	model	model	NOUN
flr-13	515	12	.	.	PUNCT
flr-13	516	1	intelligence	intelligence	NOUN
flr-13	516	2	,	,	PUNCT
flr-13	516	3	36	36	NUM
flr-13	516	4	,	,	PUNCT
flr-13	516	5	564	564	NUM
flr-13	516	6	-	-	SYM
flr-13	516	7	573	573	NUM
flr-13	516	8	.	.	PUNCT
flr-13	517	1	colom	colom	PROPN
flr-13	517	2	,	,	PUNCT
flr-13	517	3	r.	r.	PROPN
flr-13	517	4	,	,	PUNCT
flr-13	517	5	escorial	escorial	PROPN
flr-13	517	6	,	,	PUNCT
flr-13	517	7	s.	s.	PROPN
flr-13	517	8	,	,	PUNCT
flr-13	517	9	chun	chun	PROPN
flr-13	517	10	shih	shih	PROPN
flr-13	517	11	,	,	PUNCT
flr-13	517	12	p.	p.	PROPN
flr-13	517	13	,	,	PUNCT
flr-13	517	14	&	&	CCONJ
flr-13	517	15	privado	privado	VERB
flr-13	517	16	,	,	PUNCT
flr-13	517	17	j.	j.	PROPN
flr-13	517	18	(	(	PUNCT
flr-13	517	19	2007).fluid	2007).fluid	NUM
flr-13	517	20	intelligence	intelligence	NOUN
flr-13	517	21	,	,	PUNCT
flr-13	517	22	memory	memory	NOUN
flr-13	517	23	span	span	NOUN
flr-13	517	24	,	,	PUNCT
flr-13	517	25	and	and	CCONJ
flr-13	517	26	temperament	temperament	NOUN
flr-13	517	27	difficulties	difficulty	NOUN
flr-13	517	28	predict	predict	VERB
flr-13	517	29	academic	academic	ADJ
flr-13	517	30	performance	performance	NOUN
flr-13	517	31	of	of	ADP
flr-13	517	32	young	young	ADJ
flr-13	517	33	adolescents	adolescent	NOUN
flr-13	517	34	.	.	PUNCT
flr-13	518	1	personality	personality	NOUN
flr-13	518	2	and	and	CCONJ
flr-13	518	3	individual	individual	ADJ
flr-13	518	4	differences	difference	NOUN
flr-13	518	5	,	,	PUNCT
flr-13	518	6	42	42	NUM
flr-13	518	7	,	,	PUNCT
flr-13	518	8	1503	1503	NUM
flr-13	518	9	-	-	SYM
flr-13	518	10	1514	1514	NUM
flr-13	518	11	.	.	PUNCT
flr-13	519	1	conway	conway	PROPN
flr-13	519	2	,	,	PUNCT
flr-13	519	3	a.	a.	PROPN
flr-13	519	4	r.	r.	PROPN
flr-13	519	5	a.	a.	PROPN
flr-13	519	6	,	,	PUNCT
flr-13	519	7	cowan	cowan	PROPN
flr-13	519	8	,	,	PUNCT
flr-13	519	9	n.	n.	NOUN
flr-13	519	10	,	,	PUNCT
flr-13	519	11	bunting	bunting	NOUN
flr-13	519	12	,	,	PUNCT
flr-13	519	13	m.	m.	NOUN
flr-13	519	14	f.	f.	PROPN
flr-13	519	15	,	,	PUNCT
flr-13	519	16	therriault	therriault	NOUN
flr-13	519	17	,	,	PUNCT
flr-13	519	18	d.	d.	PROPN
flr-13	519	19	,	,	PUNCT
flr-13	519	20	&	&	CCONJ
flr-13	519	21	minkoff	minkoff	PROPN
flr-13	519	22	,	,	PUNCT
flr-13	519	23	s.	s.	PROPN
flr-13	519	24	(	(	PUNCT
flr-13	519	25	2002	2002	NUM
flr-13	519	26	)	)	PUNCT
flr-13	519	27	.	.	PUNCT
flr-13	520	1	a	a	DET
flr-13	520	2	latent	latent	ADJ
flr-13	520	3	variable	variable	ADJ
flr-13	520	4	analysis	analysis	NOUN
flr-13	520	5	of	of	ADP
flr-13	520	6	working	working	NOUN
flr-13	520	7	memory	memory	NOUN
flr-13	520	8	capacity	capacity	NOUN
flr-13	520	9	,	,	PUNCT
flr-13	520	10	short	short	ADJ
flr-13	520	11	term	term	NOUN
flr-13	520	12	memory	memory	NOUN
flr-13	520	13	capacity	capacity	NOUN
flr-13	520	14	,	,	PUNCT
flr-13	520	15	processing	processing	NOUN
flr-13	520	16	speed	speed	NOUN
flr-13	520	17	,	,	PUNCT
flr-13	520	18	and	and	CCONJ
flr-13	520	19	general	general	ADJ
flr-13	520	20	fluid	fluid	ADJ
flr-13	520	21	intelligence	intelligence	NOUN
flr-13	520	22	.	.	PUNCT
flr-13	521	1	intelligence	intelligence	NOUN
flr-13	521	2	,	,	PUNCT
flr-13	521	3	30	30	NUM
flr-13	521	4	,	,	PUNCT
flr-13	521	5	163183	163183	NUM
flr-13	521	6	.	.	PUNCT
flr-13	522	1	conway	conway	PROPN
flr-13	522	2	,	,	PUNCT
flr-13	522	3	a.	a.	PROPN
flr-13	522	4	r.	r.	PROPN
flr-13	522	5	a.	a.	PROPN
flr-13	522	6	,	,	PUNCT
flr-13	522	7	&	&	CCONJ
flr-13	522	8	engle	engle	PROPN
flr-13	522	9	,	,	PUNCT
flr-13	522	10	r.w	r.w	PROPN
flr-13	522	11	.	.	PROPN
flr-13	522	12	(	(	PUNCT
flr-13	522	13	1996	1996	NUM
flr-13	522	14	)	)	PUNCT
flr-13	522	15	.	.	PUNCT
flr-13	523	1	individual	individual	ADJ
flr-13	523	2	differences	difference	NOUN
flr-13	523	3	in	in	ADP
flr-13	523	4	working	working	NOUN
flr-13	523	5	memory	memory	NOUN
flr-13	523	6	capacity	capacity	NOUN
flr-13	523	7	:	:	PUNCT
flr-13	523	8	more	more	ADJ
flr-13	523	9	evidence	evidence	NOUN
flr-13	523	10	for	for	ADP
flr-13	523	11	a	a	DET
flr-13	523	12	general	general	ADJ
flr-13	523	13	capacity	capacity	NOUN
flr-13	523	14	theory	theory	NOUN
flr-13	523	15	.	.	PUNCT
flr-13	524	1	memory	memory	NOUN
flr-13	524	2	,	,	PUNCT
flr-13	524	3	4	4	NUM
flr-13	524	4	,	,	PUNCT
flr-13	524	5	577	577	NUM
flr-13	524	6	-	-	SYM
flr-13	524	7	590	590	NUM
flr-13	524	8	.	.	PUNCT
flr-13	525	1	conway	conway	PROPN
flr-13	525	2	,	,	PUNCT
flr-13	525	3	a.	a.	PROPN
flr-13	525	4	r.	r.	PROPN
flr-13	525	5	a.	a.	PROPN
flr-13	525	6	,	,	PUNCT
flr-13	525	7	kane	kane	PROPN
flr-13	525	8	,	,	PUNCT
flr-13	525	9	m.	m.	PROPN
flr-13	525	10	j.	j.	PROPN
flr-13	525	11	,	,	PUNCT
flr-13	525	12	bunting	bunting	NOUN
flr-13	525	13	,	,	PUNCT
flr-13	525	14	m.	m.	NOUN
flr-13	525	15	f.	f.	PROPN
flr-13	525	16	,	,	PUNCT
flr-13	525	17	hambrick	hambrick	PROPN
flr-13	525	18	,	,	PUNCT
flr-13	525	19	d.	d.	PROPN
flr-13	525	20	z.	z.	PROPN
flr-13	525	21	,	,	PUNCT
flr-13	525	22	wilhelm	wilhelm	PROPN
flr-13	525	23	,	,	PUNCT
flr-13	525	24	o.	o.	PROPN
flr-13	525	25	,	,	PUNCT
flr-13	525	26	&	&	CCONJ
flr-13	525	27	engle	engle	PROPN
flr-13	525	28	,	,	PUNCT
flr-13	525	29	r.	r.	PROPN
flr-13	525	30	w.	w.	PROPN
flr-13	525	31	(	(	PUNCT
flr-13	525	32	2005).working	2005).working	NUM
flr-13	525	33	memory	memory	NOUN
flr-13	525	34	span	span	NOUN
flr-13	525	35	tasks	task	NOUN
flr-13	525	36	:	:	PUNCT
flr-13	525	37	a	a	DET
flr-13	525	38	methodological	methodological	ADJ
flr-13	525	39	review	review	NOUN
flr-13	525	40	and	and	CCONJ
flr-13	525	41	user‟s	user‟s	PUNCT
flr-13	525	42	guide	guide	NOUN
flr-13	525	43	.	.	PUNCT
flr-13	526	1	psychonomic	psychonomic	ADJ
flr-13	526	2	bulletin	bulletin	PROPN
flr-13	526	3	&	&	CCONJ
flr-13	526	4	review	review	PROPN
flr-13	526	5	,	,	PUNCT
flr-13	526	6	12(5	12(5	NUM
flr-13	526	7	)	)	PUNCT
flr-13	526	8	,	,	PUNCT
flr-13	526	9	769	769	NUM
flr-13	526	10	-	-	SYM
flr-13	526	11	786	786	NUM
flr-13	526	12	croy	croy	NOUN
flr-13	526	13	,	,	PUNCT
flr-13	526	14	m.	m.	NOUN
flr-13	526	15	,	,	PUNCT
flr-13	526	16	barnes	barne	NOUN
flr-13	526	17	,	,	PUNCT
flr-13	526	18	t.	t.	PROPN
flr-13	526	19	,	,	PUNCT
flr-13	526	20	&	&	CCONJ
flr-13	526	21	stamper	stamper	PROPN
flr-13	526	22	,	,	PUNCT
flr-13	526	23	j.	j.	PROPN
flr-13	526	24	(	(	PUNCT
flr-13	526	25	2008	2008	NUM
flr-13	526	26	)	)	PUNCT
flr-13	526	27	.	.	PUNCT
flr-13	527	1	towards	towards	ADP
flr-13	527	2	an	an	DET
flr-13	527	3	intelligent	intelligent	ADJ
flr-13	527	4	tutoring	tutoring	NOUN
flr-13	527	5	system	system	NOUN
flr-13	527	6	for	for	ADP
flr-13	527	7	propositional	propositional	ADJ
flr-13	527	8	proof	proof	ADJ
flr-13	527	9	construction	construction	NOUN
flr-13	527	10	.	.	PUNCT
flr-13	528	1	in	in	ADP
flr-13	528	2	a.	a.	PROPN
flr-13	528	3	briggle	briggle	PROPN
flr-13	528	4	,	,	PUNCT
flr-13	528	5	k.	k.	PROPN
flr-13	528	6	waelbers	waelber	NOUN
flr-13	528	7	,	,	PUNCT
flr-13	528	8	and	and	CCONJ
flr-13	528	9	p.	p.	NOUN
flr-13	528	10	brey	brey	PROPN
flr-13	528	11	(	(	PUNCT
flr-13	528	12	eds	eds	PROPN
flr-13	528	13	.	.	PUNCT
flr-13	528	14	)	)	PUNCT
flr-13	528	15	,	,	PUNCT
flr-13	528	16	computing	computing	NOUN
flr-13	528	17	and	and	CCONJ
flr-13	528	18	philosophy	philosophy	NOUN
flr-13	528	19	(	(	PUNCT
flr-13	528	20	pp	pp	ADJ
flr-13	528	21	.	.	PUNCT
flr-13	528	22	145215	145215	NUM
flr-13	528	23	)	)	PUNCT
flr-13	528	24	.	.	PUNCT
flr-13	529	1	amsterdam	amsterdam	PROPN
flr-13	529	2	,	,	PUNCT
flr-13	529	3	the	the	DET
flr-13	529	4	netherlands	netherlands	PROPN
flr-13	529	5	:	:	PUNCT
flr-13	529	6	ios	ios	PROPN
flr-13	529	7	press	press	NOUN
flr-13	529	8	.	.	PUNCT
flr-13	530	1	daneman	daneman	NOUN
flr-13	530	2	,	,	PUNCT
flr-13	530	3	m.	m.	NOUN
flr-13	530	4	,	,	PUNCT
flr-13	530	5	&	&	CCONJ
flr-13	530	6	carpenter	carpenter	PROPN
flr-13	530	7	,	,	PUNCT
flr-13	530	8	p.	p.	NOUN
flr-13	530	9	a.	a.	NOUN
flr-13	531	1	(	(	PUNCT
flr-13	531	2	1980).individual	1980).individual	NUM
flr-13	531	3	-	-	PUNCT
flr-13	531	4	differences	difference	NOUN
flr-13	531	5	in	in	ADP
flr-13	531	6	working	working	NOUN
flr-13	531	7	memory	memory	NOUN
flr-13	531	8	and	and	CCONJ
flr-13	531	9	reading	reading	NOUN
flr-13	531	10	.	.	PUNCT
flr-13	532	1	journal	journal	NOUN
flr-13	532	2	of	of	ADP
flr-13	532	3	verbal	verbal	ADJ
flr-13	532	4	learning	learning	NOUN
flr-13	532	5	and	and	CCONJ
flr-13	532	6	verbal	verbal	ADJ
flr-13	532	7	behaviour	behaviour	NOUN
flr-13	532	8	,	,	PUNCT
flr-13	532	9	19	19	NUM
flr-13	532	10	,	,	PUNCT
flr-13	532	11	450	450	NUM
flr-13	532	12	466	466	NUM
flr-13	532	13	.	.	PUNCT
flr-13	533	1	m.	m.	PROPN
flr-13	533	2	f.	f.	PROPN
flr-13	533	3	musso	musso	PROPN
flr-13	533	4	et	et	PROPN
flr-13	533	5	al	al	PROPN
flr-13	533	6	.	.	PROPN
flr-13	533	7	67	67	NUM
flr-13	534	1	|	|	CCONJ
flr-13	534	2	f	f	NOUN
flr-13	534	3	l	l	NOUN
flr-13	534	4	r	r	NOUN
flr-13	534	5	detienne	detienne	NOUN
flr-13	534	6	,	,	PUNCT
flr-13	534	7	k.	k.	PROPN
flr-13	534	8	b.	b.	PROPN
flr-13	534	9	,	,	PUNCT
flr-13	534	10	detienne	detienne	PROPN
flr-13	534	11	,	,	PUNCT
flr-13	534	12	d.	d.	PROPN
flr-13	534	13	h.	h.	PROPN
flr-13	534	14	,	,	PUNCT
flr-13	534	15	&	&	CCONJ
flr-13	534	16	joshi	joshi	PROPN
flr-13	534	17	,	,	PUNCT
flr-13	534	18	s.	s.	PROPN
flr-13	534	19	a.	a.	PROPN
flr-13	534	20	(	(	PUNCT
flr-13	534	21	2003	2003	NUM
flr-13	534	22	)	)	PUNCT
flr-13	534	23	.	.	PUNCT
flr-13	535	1	neural	neural	ADJ
flr-13	535	2	networks	network	NOUN
flr-13	535	3	as	as	ADP
flr-13	535	4	statistical	statistical	ADJ
flr-13	535	5	tools	tool	NOUN
flr-13	535	6	for	for	ADP
flr-13	535	7	business	business	NOUN
flr-13	535	8	researchers	researcher	NOUN
flr-13	535	9	.	.	PUNCT
flr-13	536	1	organizational	organizational	ADJ
flr-13	536	2	research	research	NOUN
flr-13	536	3	methods	method	NOUN
flr-13	536	4	,	,	PUNCT
flr-13	536	5	6	6	NUM
flr-13	536	6	,	,	PUNCT
flr-13	536	7	236	236	NUM
flr-13	536	8	-	-	SYM
flr-13	536	9	265	265	NUM
flr-13	536	10	.	.	PUNCT
flr-13	537	1	duliba	duliba	PROPN
flr-13	537	2	,	,	PUNCT
flr-13	537	3	k.	k.	PROPN
flr-13	537	4	a.	a.	PROPN
flr-13	537	5	(	(	PUNCT
flr-13	537	6	1991	1991	NUM
flr-13	537	7	)	)	PUNCT
flr-13	537	8	contrasting	contrast	VERB
flr-13	537	9	neural	neural	ADJ
flr-13	537	10	nets	net	NOUN
flr-13	537	11	with	with	ADP
flr-13	537	12	regression	regression	NOUN
flr-13	537	13	in	in	ADP
flr-13	537	14	predicting	predict	VERB
flr-13	537	15	performance	performance	NOUN
flr-13	537	16	in	in	ADP
flr-13	537	17	the	the	DET
flr-13	537	18	transportation	transportation	NOUN
flr-13	537	19	industry	industry	NOUN
flr-13	537	20	.	.	PUNCT
flr-13	538	1	proceedings	proceeding	NOUN
flr-13	538	2	of	of	ADP
flr-13	538	3	the	the	DET
flr-13	538	4	twenty	twenty	NUM
flr-13	538	5	-	-	PUNCT
flr-13	538	6	fourth	fourth	NOUN
flr-13	538	7	annual	annual	ADJ
flr-13	538	8	hawaii	hawaii	PROPN
flr-13	538	9	international	international	PROPN
flr-13	538	10	conference	conference	NOUN
flr-13	538	11	on	on	ADP
flr-13	538	12	system	system	NOUN
flr-13	538	13	sciences	science	NOUN
flr-13	538	14	,	,	PUNCT
flr-13	538	15	4	4	NUM
flr-13	538	16	.	.	NOUN
flr-13	538	17	dupeyrat	dupeyrat	PROPN
flr-13	538	18	,	,	PUNCT
flr-13	538	19	c.	c.	PROPN
flr-13	538	20	,	,	PUNCT
flr-13	538	21	&	&	CCONJ
flr-13	538	22	marine	marine	PROPN
flr-13	538	23	,	,	PUNCT
flr-13	538	24	c.	c.	PROPN
flr-13	538	25	(	(	PUNCT
flr-13	538	26	2005	2005	NUM
flr-13	538	27	)	)	PUNCT
flr-13	538	28	.	.	PUNCT
flr-13	539	1	implicit	implicit	ADJ
flr-13	539	2	theories	theory	NOUN
flr-13	539	3	of	of	ADP
flr-13	539	4	intelligence	intelligence	NOUN
flr-13	539	5	,	,	PUNCT
flr-13	539	6	goal	goal	NOUN
flr-13	539	7	orientation	orientation	NOUN
flr-13	539	8	,	,	PUNCT
flr-13	539	9	cognitive	cognitive	ADJ
flr-13	539	10	engagement	engagement	NOUN
flr-13	539	11	,	,	PUNCT
flr-13	539	12	and	and	CCONJ
flr-13	539	13	achievement	achievement	NOUN
flr-13	539	14	:	:	PUNCT
flr-13	539	15	a	a	DET
flr-13	539	16	test	test	NOUN
flr-13	539	17	of	of	ADP
flr-13	539	18	dweck	dweck	PROPN
flr-13	539	19	's	's	PART
flr-13	539	20	model	model	NOUN
flr-13	539	21	with	with	ADP
flr-13	539	22	returning	return	VERB
flr-13	539	23	to	to	ADP
flr-13	539	24	school	school	NOUN
flr-13	539	25	adults	adult	NOUN
flr-13	539	26	.	.	PUNCT
flr-13	540	1	contemporary	contemporary	ADJ
flr-13	540	2	educational	educational	ADJ
flr-13	540	3	psychology	psychology	NOUN
flr-13	540	4	,	,	PUNCT
flr-13	540	5	30(1	30(1	NUM
flr-13	540	6	)	)	PUNCT
flr-13	540	7	,	,	PUNCT
flr-13	540	8	43	43	NUM
flr-13	540	9	-	-	SYM
flr-13	540	10	59	59	NUM
flr-13	540	11	.	.	PUNCT
flr-13	541	1	engle	engle	PROPN
flr-13	541	2	,	,	PUNCT
flr-13	541	3	r.w	r.w	PROPN
flr-13	541	4	.	.	PROPN
flr-13	541	5	(	(	PUNCT
flr-13	541	6	2002	2002	NUM
flr-13	541	7	)	)	PUNCT
flr-13	541	8	.	.	PUNCT
flr-13	542	1	working	work	VERB
flr-13	542	2	memory	memory	NOUN
flr-13	542	3	capacity	capacity	NOUN
flr-13	542	4	as	as	ADP
flr-13	542	5	executive	executive	ADJ
flr-13	542	6	attention	attention	NOUN
flr-13	542	7	.	.	PUNCT
flr-13	543	1	current	current	ADJ
flr-13	543	2	directions	direction	NOUN
flr-13	543	3	in	in	ADP
flr-13	543	4	psychological	psychological	ADJ
flr-13	543	5	science	science	NOUN
flr-13	543	6	,	,	PUNCT
flr-13	543	7	11	11	NUM
flr-13	543	8	,	,	PUNCT
flr-13	543	9	19	19	NUM
flr-13	543	10	-	-	SYM
flr-13	543	11	23	23	NUM
flr-13	543	12	.	.	PUNCT
flr-13	544	1	engle	engle	PROPN
flr-13	544	2	,	,	PUNCT
flr-13	544	3	r.w	r.w	PROPN
flr-13	544	4	.	.	PROPN
flr-13	544	5	,	,	PUNCT
flr-13	544	6	&	&	CCONJ
flr-13	544	7	kane	kane	PROPN
flr-13	544	8	,	,	PUNCT
flr-13	544	9	m.	m.	PROPN
flr-13	544	10	j.	j.	PROPN
flr-13	544	11	(	(	PUNCT
flr-13	544	12	2004).executive	2004).executive	NUM
flr-13	544	13	attention	attention	NOUN
flr-13	544	14	,	,	PUNCT
flr-13	544	15	working	working	NOUN
flr-13	544	16	memory	memory	NOUN
flr-13	544	17	capacity	capacity	NOUN
flr-13	544	18	,	,	PUNCT
flr-13	544	19	and	and	CCONJ
flr-13	544	20	a	a	DET
flr-13	544	21	two	two	NUM
flr-13	544	22	-	-	PUNCT
flr-13	544	23	factor	factor	NOUN
flr-13	544	24	theory	theory	NOUN
flr-13	544	25	of	of	ADP
flr-13	544	26	cognitive	cognitive	ADJ
flr-13	544	27	control	control	NOUN
flr-13	544	28	.	.	PUNCT
flr-13	545	1	in	in	ADP
flr-13	545	2	b.	b.	PROPN
flr-13	545	3	ross	ross	PROPN
flr-13	545	4	(	(	PUNCT
flr-13	545	5	ed	ed	NOUN
flr-13	545	6	.	.	PUNCT
flr-13	545	7	)	)	PUNCT
flr-13	545	8	,	,	PUNCT
flr-13	545	9	the	the	DET
flr-13	545	10	psychology	psychology	NOUN
flr-13	545	11	of	of	ADP
flr-13	545	12	learning	learning	NOUN
flr-13	545	13	and	and	CCONJ
flr-13	545	14	motivation	motivation	NOUN
flr-13	545	15	(	(	PUNCT
flr-13	545	16	pp	pp	ADJ
flr-13	545	17	.	.	PUNCT
flr-13	545	18	145	145	NUM
flr-13	545	19	-	-	SYM
flr-13	545	20	199	199	NUM
flr-13	545	21	)	)	PUNCT
flr-13	545	22	.	.	PUNCT
flr-13	546	1	newyork	newyork	PROPN
flr-13	546	2	,	,	PUNCT
flr-13	546	3	ny	ny	PROPN
flr-13	546	4	:	:	PUNCT
flr-13	546	5	elsevier	elsevier	PROPN
flr-13	546	6	.	.	PUNCT
flr-13	547	1	eriksen	eriksen	PROPN
flr-13	547	2	,	,	PUNCT
flr-13	547	3	b.	b.	PROPN
flr-13	547	4	a.	a.	PROPN
flr-13	547	5	,	,	PUNCT
flr-13	547	6	&	&	CCONJ
flr-13	547	7	eriksen	eriksen	PROPN
flr-13	547	8	,	,	PUNCT
flr-13	547	9	c.w	c.w	PROPN
flr-13	547	10	.	.	PROPN
flr-13	547	11	(	(	PUNCT
flr-13	547	12	1974	1974	NUM
flr-13	547	13	)	)	PUNCT
flr-13	547	14	.	.	PUNCT
flr-13	548	1	effects	effect	NOUN
flr-13	548	2	of	of	ADP
flr-13	548	3	noise	noise	NOUN
flr-13	548	4	letters	letter	NOUN
flr-13	548	5	upon	upon	SCONJ
flr-13	548	6	the	the	DET
flr-13	548	7	identification	identification	NOUN
flr-13	548	8	of	of	ADP
flr-13	548	9	a	a	DET
flr-13	548	10	target	target	NOUN
flr-13	548	11	letter	letter	NOUN
flr-13	548	12	in	in	ADP
flr-13	548	13	a	a	DET
flr-13	548	14	non	non	ADJ
flr-13	548	15	search	search	NOUN
flr-13	548	16	task	task	NOUN
flr-13	548	17	.	.	PUNCT
flr-13	549	1	perception	perception	NOUN
flr-13	549	2	and	and	CCONJ
flr-13	549	3	psychophysics	psychophysic	NOUN
flr-13	549	4	,	,	PUNCT
flr-13	549	5	16	16	NUM
flr-13	549	6	,	,	PUNCT
flr-13	549	7	143	143	NUM
flr-13	549	8	-	-	SYM
flr-13	549	9	149	149	NUM
flr-13	549	10	.	.	PUNCT
flr-13	550	1	everson	everson	PROPN
flr-13	550	2	,	,	PUNCT
flr-13	550	3	h.	h.	PROPN
flr-13	550	4	t.	t.	PROPN
flr-13	550	5	(	(	PUNCT
flr-13	550	6	1995	1995	NUM
flr-13	550	7	)	)	PUNCT
flr-13	550	8	.	.	PUNCT
flr-13	551	1	modelling	model	VERB
flr-13	551	2	the	the	DET
flr-13	551	3	student	student	NOUN
flr-13	551	4	in	in	ADP
flr-13	551	5	intelligent	intelligent	ADJ
flr-13	551	6	tutoring	tutoring	NOUN
flr-13	551	7	systems	system	NOUN
flr-13	551	8	:	:	PUNCT
flr-13	551	9	the	the	DET
flr-13	551	10	promise	promise	NOUN
flr-13	551	11	of	of	ADP
flr-13	551	12	a	a	DET
flr-13	551	13	new	new	ADJ
flr-13	551	14	psychometrics	psychometric	NOUN
flr-13	551	15	.	.	PUNCT
flr-13	552	1	instructional	instructional	ADJ
flr-13	552	2	science	science	NOUN
flr-13	552	3	,	,	PUNCT
flr-13	552	4	23(5	23(5	NOUN
flr-13	552	5	-	-	SYM
flr-13	552	6	6	6	NUM
flr-13	552	7	)	)	PUNCT
flr-13	552	8	,	,	PUNCT
flr-13	552	9	433	433	NUM
flr-13	552	10	-	-	SYM
flr-13	552	11	452	452	NUM
flr-13	552	12	.	.	PUNCT
flr-13	553	1	everson	everson	PROPN
flr-13	553	2	,	,	PUNCT
flr-13	553	3	h.	h.	PROPN
flr-13	553	4	t.	t.	PROPN
flr-13	553	5	,	,	PUNCT
flr-13	553	6	chance	chance	NOUN
flr-13	553	7	,	,	PUNCT
flr-13	553	8	d.	d.	PROPN
flr-13	553	9	,	,	PUNCT
flr-13	553	10	&	&	CCONJ
flr-13	553	11	lykins	lykin	NOUN
flr-13	553	12	,	,	PUNCT
flr-13	553	13	s.	s.	PROPN
flr-13	553	14	(	(	PUNCT
flr-13	553	15	1994	1994	NUM
flr-13	553	16	)	)	PUNCT
flr-13	553	17	.	.	PUNCT
flr-13	554	1	exploring	explore	VERB
flr-13	554	2	the	the	DET
flr-13	554	3	use	use	NOUN
flr-13	554	4	of	of	ADP
flr-13	554	5	artificial	artificial	ADJ
flr-13	554	6	neural	neural	ADJ
flr-13	554	7	networks	network	NOUN
flr-13	554	8	in	in	ADP
flr-13	554	9	educational	educational	ADJ
flr-13	554	10	research	research	NOUN
flr-13	554	11	.	.	PUNCT
flr-13	555	1	paper	paper	NOUN
flr-13	555	2	presented	present	VERB
flr-13	555	3	at	at	ADP
flr-13	555	4	the	the	DET
flr-13	555	5	annual	annual	ADJ
flr-13	555	6	meeting	meeting	NOUN
flr-13	555	7	of	of	ADP
flr-13	555	8	the	the	DET
flr-13	555	9	american	american	PROPN
flr-13	555	10	educational	educational	PROPN
flr-13	555	11	research	research	PROPN
flr-13	555	12	association	association	PROPN
flr-13	555	13	,	,	PUNCT
flr-13	555	14	new	new	PROPN
flr-13	555	15	york	york	PROPN
flr-13	555	16	.	.	PUNCT
flr-13	556	1	fan	fan	PROPN
flr-13	556	2	,	,	PUNCT
flr-13	556	3	j.	j.	PROPN
flr-13	556	4	,	,	PUNCT
flr-13	556	5	mccandliss	mccandliss	PROPN
flr-13	556	6	,	,	PUNCT
flr-13	556	7	b.	b.	PROPN
flr-13	556	8	d.	d.	PROPN
flr-13	556	9	,	,	PUNCT
flr-13	556	10	summer	summer	NOUN
flr-13	556	11	,	,	PUNCT
flr-13	556	12	t.	t.	PROPN
flr-13	556	13	,	,	PUNCT
flr-13	556	14	raz	raz	PROPN
flr-13	556	15	,	,	PUNCT
flr-13	556	16	a.	a.	NOUN
flr-13	556	17	,	,	PUNCT
flr-13	556	18	&	&	CCONJ
flr-13	556	19	posner	posner	PROPN
flr-13	556	20	,	,	PUNCT
flr-13	556	21	m.i	m.i	PROPN
flr-13	556	22	.	.	PROPN
flr-13	557	1	(	(	PUNCT
flr-13	557	2	2002).testing	2002).teste	VERB
flr-13	557	3	the	the	DET
flr-13	557	4	efficiency	efficiency	NOUN
flr-13	557	5	and	and	CCONJ
flr-13	557	6	independence	independence	NOUN
flr-13	557	7	of	of	ADP
flr-13	557	8	attentional	attentional	ADJ
flr-13	557	9	networks	network	NOUN
flr-13	557	10	.	.	PUNCT
flr-13	558	1	journal	journal	NOUN
flr-13	558	2	of	of	ADP
flr-13	558	3	cognitive	cognitive	ADJ
flr-13	558	4	neuroscience	neuroscience	NOUN
flr-13	558	5	,	,	PUNCT
flr-13	558	6	14(3	14(3	NUM
flr-13	558	7	)	)	PUNCT
flr-13	558	8	,	,	PUNCT
flr-13	558	9	340	340	NUM
flr-13	558	10	-	-	SYM
flr-13	558	11	347	347	NUM
flr-13	558	12	.	.	PUNCT
flr-13	559	1	feldman	feldman	PROPN
flr-13	559	2	barrett	barrett	PROPN
flr-13	559	3	,	,	PUNCT
flr-13	559	4	l.	l.	PROPN
flr-13	559	5	,	,	PUNCT
flr-13	559	6	tugade	tugade	ADJ
flr-13	559	7	,	,	PUNCT
flr-13	559	8	m.	m.	NOUN
flr-13	559	9	m.	m.	NOUN
flr-13	559	10	,	,	PUNCT
flr-13	559	11	&	&	CCONJ
flr-13	559	12	engle	engle	PROPN
flr-13	559	13	,	,	PUNCT
flr-13	559	14	r.	r.	PROPN
flr-13	559	15	w.	w.	PROPN
flr-13	559	16	(	(	PUNCT
flr-13	559	17	2004	2004	NUM
flr-13	559	18	)	)	PUNCT
flr-13	559	19	.	.	PUNCT
flr-13	560	1	individual	individual	ADJ
flr-13	560	2	differences	difference	NOUN
flr-13	560	3	in	in	ADP
flr-13	560	4	working	working	NOUN
flr-13	560	5	memory	memory	NOUN
flr-13	560	6	capacity	capacity	NOUN
flr-13	560	7	and	and	CCONJ
flr-13	560	8	dual	dual	ADJ
flr-13	560	9	-	-	PUNCT
flr-13	560	10	process	process	NOUN
flr-13	560	11	theories	theory	NOUN
flr-13	560	12	of	of	ADP
flr-13	560	13	mind	mind	NOUN
flr-13	560	14	.	.	PUNCT
flr-13	561	1	psychological	psychological	ADJ
flr-13	561	2	bulletin	bulletin	NOUN
flr-13	561	3	,	,	PUNCT
flr-13	561	4	130	130	NUM
flr-13	561	5	,	,	PUNCT
flr-13	561	6	553	553	NUM
flr-13	561	7	-	-	SYM
flr-13	561	8	573	573	NUM
flr-13	561	9	.	.	PUNCT
flr-13	562	1	fenollar	fenollar	ADJ
flr-13	562	2	,	,	PUNCT
flr-13	562	3	p.	p.	NOUN
flr-13	562	4	,	,	PUNCT
flr-13	562	5	roman	roman	PROPN
flr-13	562	6	,	,	PUNCT
flr-13	562	7	s.	s.	PROPN
flr-13	562	8	,	,	PUNCT
flr-13	562	9	&	&	CCONJ
flr-13	562	10	cuestas	cuesta	NOUN
flr-13	562	11	,	,	PUNCT
flr-13	562	12	p.	p.	NOUN
flr-13	562	13	j.	j.	PROPN
flr-13	563	1	(	(	PUNCT
flr-13	563	2	2007	2007	NUM
flr-13	563	3	)	)	PUNCT
flr-13	563	4	.	.	PUNCT
flr-13	564	1	university	university	NOUN
flr-13	564	2	students‟	students‟	ADV
flr-13	564	3	academic	academic	ADJ
flr-13	564	4	performance	performance	NOUN
flr-13	564	5	:	:	PUNCT
flr-13	564	6	an	an	DET
flr-13	564	7	integrative	integrative	ADJ
flr-13	564	8	conceptual	conceptual	ADJ
flr-13	564	9	framework	framework	NOUN
flr-13	564	10	and	and	CCONJ
flr-13	564	11	empirical	empirical	ADJ
flr-13	564	12	analysis	analysis	NOUN
flr-13	564	13	.	.	PUNCT
flr-13	565	1	british	british	ADJ
flr-13	565	2	journal	journal	PROPN
flr-13	565	3	of	of	ADP
flr-13	565	4	educational	educational	ADJ
flr-13	565	5	psychology	psychology	NOUN
flr-13	565	6	,	,	PUNCT
flr-13	565	7	77	77	NUM
flr-13	565	8	,	,	PUNCT
flr-13	565	9	873891	873891	NUM
flr-13	565	10	.	.	PUNCT
flr-13	566	1	fernandez	fernandez	PROPN
flr-13	566	2	-	-	PUNCT
flr-13	566	3	castillo	castillo	PROPN
flr-13	566	4	,	,	PUNCT
flr-13	566	5	a.	a.	PROPN
flr-13	566	6	,	,	PUNCT
flr-13	566	7	&	&	CCONJ
flr-13	566	8	gutiérrez	gutiérrez	PROPN
flr-13	566	9	-	-	PUNCT
flr-13	566	10	rojas	rojas	PROPN
flr-13	566	11	,	,	PUNCT
flr-13	566	12	m.	m.	PROPN
flr-13	566	13	e.	e.	PROPN
flr-13	566	14	(	(	PUNCT
flr-13	566	15	2009	2009	NUM
flr-13	566	16	)	)	PUNCT
flr-13	566	17	.	.	PUNCT
flr-13	567	1	selective	selective	ADJ
flr-13	567	2	attention	attention	NOUN
flr-13	567	3	,	,	PUNCT
flr-13	567	4	anxiety	anxiety	NOUN
flr-13	567	5	,	,	PUNCT
flr-13	567	6	depressive	depressive	ADJ
flr-13	567	7	symptomatology	symptomatology	NOUN
flr-13	567	8	and	and	CCONJ
flr-13	567	9	academic	academic	ADJ
flr-13	567	10	performance	performance	NOUN
flr-13	567	11	in	in	ADP
flr-13	567	12	adolescents	adolescent	NOUN
flr-13	567	13	.	.	PUNCT
flr-13	568	1	electronic	electronic	ADJ
flr-13	568	2	journal	journal	NOUN
flr-13	568	3	of	of	ADP
flr-13	568	4	research	research	NOUN
flr-13	568	5	in	in	ADP
flr-13	568	6	educational	educational	ADJ
flr-13	568	7	psychology	psychology	NOUN
flr-13	568	8	,	,	PUNCT
flr-13	568	9	7(1	7(1	NUM
flr-13	568	10	)	)	PUNCT
flr-13	568	11	,	,	PUNCT
flr-13	568	12	49	49	NUM
flr-13	568	13	-	-	SYM
flr-13	568	14	76	76	NUM
flr-13	568	15	.	.	PUNCT
flr-13	569	1	fletcher	fletcher	PROPN
flr-13	569	2	,	,	PUNCT
flr-13	569	3	j.	j.	PROPN
flr-13	569	4	m.	m.	PROPN
flr-13	569	5	(	(	PUNCT
flr-13	569	6	2005	2005	NUM
flr-13	569	7	)	)	PUNCT
flr-13	569	8	.	.	PUNCT
flr-13	570	1	predicting	predict	VERB
flr-13	570	2	math	math	NOUN
flr-13	570	3	outcomes	outcome	NOUN
flr-13	570	4	:	:	PUNCT
flr-13	570	5	reading	read	VERB
flr-13	570	6	predictors	predictor	NOUN
flr-13	570	7	and	and	CCONJ
flr-13	570	8	comorbidity	comorbidity	NOUN
flr-13	570	9	.	.	PUNCT
flr-13	571	1	journal	journal	NOUN
flr-13	571	2	of	of	ADP
flr-13	571	3	learning	learn	VERB
flr-13	571	4	disabilities	disability	NOUN
flr-13	571	5	,	,	PUNCT
flr-13	571	6	38(4	38(4	NUM
flr-13	571	7	)	)	PUNCT
flr-13	571	8	,	,	PUNCT
flr-13	571	9	308	308	NUM
flr-13	571	10	-	-	SYM
flr-13	571	11	312	312	NUM
flr-13	571	12	.	.	PUNCT
flr-13	572	1	fong	fong	PROPN
flr-13	572	2	,	,	PUNCT
flr-13	572	3	s.	s.	PROPN
flr-13	572	4	,	,	PUNCT
flr-13	572	5	si	si	PROPN
flr-13	572	6	,	,	PUNCT
flr-13	572	7	y.-w	y.-w	PROPN
flr-13	572	8	.	.	PROPN
flr-13	572	9	,	,	PUNCT
flr-13	572	10	&	&	CCONJ
flr-13	572	11	biuk	biuk	NOUN
flr-13	572	12	-	-	PUNCT
flr-13	572	13	aghai	aghai	NOUN
flr-13	572	14	,	,	PUNCT
flr-13	572	15	r.	r.	PROPN
flr-13	572	16	p.	p.	PROPN
flr-13	572	17	(	(	PUNCT
flr-13	572	18	2009	2009	NUM
flr-13	572	19	)	)	PUNCT
flr-13	572	20	.	.	PUNCT
flr-13	573	1	applying	apply	VERB
flr-13	573	2	a	a	DET
flr-13	573	3	hybrid	hybrid	ADJ
flr-13	573	4	model	model	NOUN
flr-13	573	5	of	of	ADP
flr-13	573	6	neural	neural	ADJ
flr-13	573	7	network	network	NOUN
flr-13	573	8	and	and	CCONJ
flr-13	573	9	decision	decision	NOUN
flr-13	573	10	tree	tree	NOUN
flr-13	573	11	classifier	classifier	NOUN
flr-13	573	12	for	for	ADP
flr-13	573	13	predicting	predict	VERB
flr-13	573	14	university	university	NOUN
flr-13	573	15	admission	admission	NOUN
flr-13	573	16	.	.	PUNCT
flr-13	574	1	proceedings	proceeding	NOUN
flr-13	574	2	of	of	ADP
flr-13	574	3	the	the	DET
flr-13	574	4	7th	7th	ADJ
flr-13	574	5	international	international	ADJ
flr-13	574	6	conference	conference	NOUN
flr-13	574	7	on	on	ADP
flr-13	574	8	information	information	NOUN
flr-13	574	9	,	,	PUNCT
flr-13	574	10	communication	communication	NOUN
flr-13	574	11	,	,	PUNCT
flr-13	574	12	and	and	CCONJ
flr-13	574	13	signal	signal	NOUN
flr-13	574	14	processing	processing	NOUN
flr-13	574	15	(	(	PUNCT
flr-13	574	16	icics2009	icics2009	PROPN
flr-13	574	17	)	)	PUNCT
flr-13	574	18	,	,	PUNCT
flr-13	574	19	pp	pp	ADJ
flr-13	574	20	.	.	PUNCT
flr-13	575	1	1	1	NUM
flr-13	575	2	-	-	SYM
flr-13	575	3	5	5	NUM
flr-13	575	4	,	,	PUNCT
flr-13	575	5	macau	macau	PROPN
flr-13	575	6	,	,	PUNCT
flr-13	575	7	china	china	PROPN
flr-13	575	8	,	,	PUNCT
flr-13	575	9	ieee	ieee	NOUN
flr-13	575	10	press	press	PROPN
flr-13	575	11	.	.	PUNCT
flr-13	576	1	garson	garson	PROPN
flr-13	576	2	,	,	PUNCT
flr-13	576	3	g.	g.	PROPN
flr-13	576	4	d.	d.	PROPN
flr-13	576	5	(	(	PUNCT
flr-13	576	6	1998	1998	NUM
flr-13	576	7	)	)	PUNCT
flr-13	576	8	.	.	PUNCT
flr-13	577	1	neural	neural	ADJ
flr-13	577	2	networks	network	NOUN
flr-13	577	3	.	.	PUNCT
flr-13	578	1	an	an	DET
flr-13	578	2	introductory	introductory	ADJ
flr-13	578	3	guide	guide	NOUN
flr-13	578	4	for	for	ADP
flr-13	578	5	social	social	ADJ
flr-13	578	6	scientists	scientist	NOUN
flr-13	578	7	.	.	PUNCT
flr-13	579	1	london	london	PROPN
flr-13	579	2	:	:	PUNCT
flr-13	579	3	sage	sage	NOUN
flr-13	579	4	publications	publications	PROPN
flr-13	579	5	ltd	ltd	PROPN
flr-13	579	6	.	.	PUNCT
flr-13	579	7	gathercole	gathercole	PROPN
flr-13	579	8	,	,	PUNCT
flr-13	579	9	s.	s.	PROPN
flr-13	579	10	e.	e.	PROPN
flr-13	579	11	,	,	PUNCT
flr-13	579	12	pickering	pickering	PROPN
flr-13	579	13	,	,	PUNCT
flr-13	579	14	s.	s.	PROPN
flr-13	579	15	j.	j.	PROPN
flr-13	579	16	,	,	PUNCT
flr-13	579	17	knight	knight	PROPN
flr-13	579	18	,	,	PUNCT
flr-13	579	19	c.	c.	PROPN
flr-13	579	20	,	,	PUNCT
flr-13	579	21	&	&	CCONJ
flr-13	579	22	stegmann	stegmann	PROPN
flr-13	579	23	,	,	PUNCT
flr-13	579	24	z.	z.	PROPN
flr-13	579	25	(	(	PUNCT
flr-13	579	26	2004).working	2004).worke	VERB
flr-13	579	27	memory	memory	NOUN
flr-13	579	28	skills	skill	NOUN
flr-13	579	29	and	and	CCONJ
flr-13	579	30	educational	educational	ADJ
flr-13	579	31	attainment	attainment	NOUN
flr-13	579	32	:	:	PUNCT
flr-13	579	33	evidence	evidence	NOUN
flr-13	579	34	from	from	ADP
flr-13	579	35	national	national	ADJ
flr-13	579	36	curriculum	curriculum	NOUN
flr-13	579	37	assessments	assessment	NOUN
flr-13	579	38	at	at	ADP
flr-13	579	39	7	7	NUM
flr-13	579	40	and	and	CCONJ
flr-13	579	41	14	14	NUM
flr-13	579	42	years	year	NOUN
flr-13	579	43	of	of	ADP
flr-13	579	44	age	age	NOUN
flr-13	579	45	.	.	PUNCT
flr-13	580	1	applied	apply	VERB
flr-13	580	2	cognitive	cognitive	ADJ
flr-13	580	3	psychology	psychology	NOUN
flr-13	580	4	,	,	PUNCT
flr-13	580	5	18	18	NUM
flr-13	580	6	,	,	PUNCT
flr-13	580	7	1	1	NUM
flr-13	580	8	-	-	SYM
flr-13	580	9	16	16	NUM
flr-13	580	10	.	.	PUNCT
flr-13	581	1	gazzaniga	gazzaniga	PROPN
flr-13	581	2	,	,	PUNCT
flr-13	581	3	m.	m.	NOUN
flr-13	581	4	,	,	PUNCT
flr-13	581	5	ivry	ivry	PROPN
flr-13	581	6	,	,	PUNCT
flr-13	581	7	r.	r.	PROPN
flr-13	581	8	,	,	PUNCT
flr-13	581	9	&	&	CCONJ
flr-13	581	10	mangun	mangun	PROPN
flr-13	581	11	,	,	PUNCT
flr-13	581	12	g.	g.	PROPN
flr-13	581	13	(	(	PUNCT
flr-13	581	14	2002).cognitive	2002).cognitive	NUM
flr-13	581	15	neuroscience	neuroscience	NOUN
flr-13	581	16	:	:	PUNCT
flr-13	581	17	the	the	DET
flr-13	581	18	biology	biology	NOUN
flr-13	581	19	of	of	ADP
flr-13	581	20	the	the	DET
flr-13	581	21	mind	mind	NOUN
flr-13	581	22	(	(	PUNCT
flr-13	581	23	2nd	2nd	ADJ
flr-13	581	24	ed	ed	NOUN
flr-13	581	25	.	.	PUNCT
flr-13	581	26	)	)	PUNCT
flr-13	581	27	.	.	PUNCT
flr-13	582	1	new	new	PROPN
flr-13	582	2	york	york	PROPN
flr-13	582	3	,	,	PUNCT
flr-13	582	4	ny	ny	PROPN
flr-13	582	5	:	:	PUNCT
flr-13	582	6	w.w	w.w	PROPN
flr-13	582	7	.	.	PROPN
flr-13	582	8	norton	norton	PROPN
flr-13	582	9	grimley	grimley	PROPN
flr-13	582	10	,	,	PUNCT
flr-13	582	11	m.	m.	NOUN
flr-13	582	12	,	,	PUNCT
flr-13	582	13	&	&	CCONJ
flr-13	582	14	banner	banner	NOUN
flr-13	582	15	,	,	PUNCT
flr-13	582	16	g.	g.	PROPN
flr-13	582	17	(	(	PUNCT
flr-13	582	18	2008).working	2008).worke	VERB
flr-13	582	19	memory	memory	NOUN
flr-13	582	20	,	,	PUNCT
flr-13	582	21	cognitive	cognitive	ADJ
flr-13	582	22	style	style	NOUN
flr-13	582	23	,	,	PUNCT
flr-13	582	24	and	and	CCONJ
flr-13	582	25	behavioural	behavioural	ADJ
flr-13	582	26	predictors	predictor	NOUN
flr-13	582	27	of	of	ADP
flr-13	582	28	gcse	gcse	PROPN
flr-13	582	29	exam	exam	NOUN
flr-13	582	30	success	success	NOUN
flr-13	582	31	.	.	PUNCT
flr-13	583	1	educational	educational	ADJ
flr-13	583	2	psychology	psychology	NOUN
flr-13	583	3	,	,	PUNCT
flr-13	583	4	28(3	28(3	NUM
flr-13	583	5	)	)	PUNCT
flr-13	583	6	,	,	PUNCT
flr-13	583	7	341	341	NUM
flr-13	583	8	-	-	SYM
flr-13	583	9	351	351	NUM
flr-13	583	10	.	.	PUNCT
flr-13	584	1	grossberg	grossberg	PROPN
flr-13	584	2	,	,	PUNCT
flr-13	584	3	s.	s.	PROPN
flr-13	584	4	(	(	PUNCT
flr-13	584	5	1980	1980	NUM
flr-13	584	6	)	)	PUNCT
flr-13	584	7	.	.	PUNCT
flr-13	585	1	how	how	SCONJ
flr-13	585	2	does	do	AUX
flr-13	585	3	the	the	DET
flr-13	585	4	brain	brain	NOUN
flr-13	585	5	build	build	VERB
flr-13	585	6	a	a	DET
flr-13	585	7	cognitive	cognitive	ADJ
flr-13	585	8	code	code	NOUN
flr-13	585	9	?	?	PUNCT
flr-13	586	1	psychological	psychological	ADJ
flr-13	586	2	review	review	NOUN
flr-13	586	3	,	,	PUNCT
flr-13	586	4	87	87	NUM
flr-13	586	5	,	,	PUNCT
flr-13	586	6	151	151	NUM
flr-13	586	7	.	.	PUNCT
flr-13	587	1	grossberg	grossberg	PROPN
flr-13	587	2	,	,	PUNCT
flr-13	587	3	s.	s.	PROPN
flr-13	587	4	(	(	PUNCT
flr-13	587	5	1982	1982	NUM
flr-13	587	6	)	)	PUNCT
flr-13	587	7	.	.	PUNCT
flr-13	588	1	studies	study	NOUN
flr-13	588	2	of	of	ADP
flr-13	588	3	mind	mind	NOUN
flr-13	588	4	and	and	CCONJ
flr-13	588	5	brain	brain	NOUN
flr-13	588	6	:	:	PUNCT
flr-13	588	7	neural	neural	ADJ
flr-13	588	8	principles	principle	NOUN
flr-13	588	9	of	of	ADP
flr-13	588	10	learning	learning	NOUN
flr-13	588	11	,	,	PUNCT
flr-13	588	12	perception	perception	NOUN
flr-13	588	13	,	,	PUNCT
flr-13	588	14	development	development	NOUN
flr-13	588	15	,	,	PUNCT
flr-13	588	16	cognition	cognition	NOUN
flr-13	588	17	and	and	CCONJ
flr-13	588	18	motor	motor	NOUN
flr-13	588	19	control	control	PROPN
flr-13	588	20	.	.	PUNCT
flr-13	589	1	boston	boston	PROPN
flr-13	589	2	:	:	PUNCT
flr-13	589	3	reidel	reidel	PROPN
flr-13	589	4	press	press	PROPN
flr-13	589	5	.	.	PUNCT
flr-13	590	1	gsanger	gsanger	PROPN
flr-13	590	2	,	,	PUNCT
flr-13	590	3	k.	k.	PROPN
flr-13	590	4	,	,	PUNCT
flr-13	590	5	w.	w.	PROPN
flr-13	590	6	,	,	PUNCT
flr-13	590	7	homack	homack	VERB
flr-13	590	8	,	,	PUNCT
flr-13	590	9	s.	s.	PROPN
flr-13	590	10	,	,	PUNCT
flr-13	590	11	siekierski	siekierski	PROPN
flr-13	590	12	,	,	PUNCT
flr-13	590	13	b.	b.	PROPN
flr-13	590	14	,	,	PUNCT
flr-13	590	15	&	&	CCONJ
flr-13	590	16	riccio	riccio	PROPN
flr-13	590	17	,	,	PUNCT
flr-13	590	18	c.	c.	PROPN
flr-13	590	19	(	(	PUNCT
flr-13	590	20	2002).the	2002).the	PRON
flr-13	590	21	relation	relation	NOUN
flr-13	590	22	of	of	ADP
flr-13	590	23	memory	memory	NOUN
flr-13	590	24	and	and	CCONJ
flr-13	590	25	attention	attention	NOUN
flr-13	590	26	to	to	ADP
flr-13	590	27	academic	academic	ADJ
flr-13	590	28	achievement	achievement	NOUN
flr-13	590	29	in	in	ADP
flr-13	590	30	children	child	NOUN
flr-13	590	31	.	.	PUNCT
flr-13	591	1	archives	archive	NOUN
flr-13	591	2	of	of	ADP
flr-13	591	3	clinical	clinical	ADJ
flr-13	591	4	neuropsychology	neuropsychology	NOUN
flr-13	591	5	,	,	PUNCT
flr-13	591	6	17(8	17(8	NUM
flr-13	591	7	)	)	PUNCT
flr-13	591	8	,	,	PUNCT
flr-13	591	9	790	790	NUM
flr-13	591	10	.	.	PUNCT
flr-13	592	1	hailikari	hailikari	PROPN
flr-13	592	2	,	,	PUNCT
flr-13	592	3	t.	t.	PROPN
flr-13	592	4	,	,	PUNCT
flr-13	592	5	nevgi	nevgi	NOUN
flr-13	592	6	,	,	PUNCT
flr-13	592	7	&	&	CCONJ
flr-13	592	8	a.	a.	PROPN
flr-13	592	9	,	,	PUNCT
flr-13	592	10	komulainen	komulainen	PROPN
flr-13	592	11	,	,	PUNCT
flr-13	592	12	e.	e.	PROPN
flr-13	592	13	(	(	PUNCT
flr-13	592	14	2008	2008	NUM
flr-13	592	15	)	)	PUNCT
flr-13	592	16	.	.	PUNCT
flr-13	593	1	academic	academic	ADJ
flr-13	593	2	self	self	NOUN
flr-13	593	3	-	-	PUNCT
flr-13	593	4	beliefs	belief	NOUN
flr-13	593	5	and	and	CCONJ
flr-13	593	6	prior	prior	ADJ
flr-13	593	7	knowledge	knowledge	NOUN
flr-13	593	8	as	as	ADP
flr-13	593	9	predictors	predictor	NOUN
flr-13	593	10	of	of	ADP
flr-13	593	11	student	student	NOUN
flr-13	593	12	achievement	achievement	NOUN
flr-13	593	13	in	in	ADP
flr-13	593	14	mathematics	mathematic	NOUN
flr-13	593	15	:	:	PUNCT
flr-13	593	16	a	a	DET
flr-13	593	17	structural	structural	ADJ
flr-13	593	18	model	model	NOUN
flr-13	593	19	.	.	PUNCT
flr-13	594	1	educational	educational	ADJ
flr-13	594	2	psychology	psychology	NOUN
flr-13	594	3	,	,	PUNCT
flr-13	594	4	28(1	28(1	NOUN
flr-13	594	5	)	)	PUNCT
flr-13	594	6	,	,	PUNCT
flr-13	594	7	59	59	NUM
flr-13	594	8	-	-	SYM
flr-13	594	9	71	71	NUM
flr-13	594	10	.	.	PUNCT
flr-13	595	1	http://ieeexplore.ieee.org/xpl/mostrecentissue.jsp?punumber=882	http://ieeexplore.ieee.org/xpl/mostrecentissue.jsp?punumber=882	PROPN
flr-13	595	2	http://ieeexplore.ieee.org/xpl/mostrecentissue.jsp?punumber=882	http://ieeexplore.ieee.org/xpl/mostrecentissue.jsp?punumber=882	PROPN
flr-13	595	3	http://www.sciencedirect.com/science?_ob=gatewayurl&_method=citationsearch&_urlversion=4&_origin=sdtoptwofive&_version=1&_piikey=s0361476x04000256&md5=b17b12e34e6786bfaf70ce74613ab07b	http://www.sciencedirect.com/science?_ob=gatewayurl&_method=citationsearch&_urlversion=4&_origin=sdtoptwofive&_version=1&_piikey=s0361476x04000256&md5=b17b12e34e6786bfaf70ce74613ab07b	PROPN
flr-13	595	4	http://www.sciencedirect.com/science?_ob=gatewayurl&_method=citationsearch&_urlversion=4&_origin=sdtoptwofive&_version=1&_piikey=s0361476x04000256&md5=b17b12e34e6786bfaf70ce74613ab07b	http://www.sciencedirect.com/science?_ob=gatewayurl&_method=citationsearch&_urlversion=4&_origin=sdtoptwofive&_version=1&_piikey=s0361476x04000256&md5=b17b12e34e6786bfaf70ce74613ab07b	PROPN
flr-13	595	5	m.	m.	PROPN
flr-13	595	6	f.	f.	PROPN
flr-13	595	7	musso	musso	PROPN
flr-13	595	8	et	et	PROPN
flr-13	595	9	al	al	PROPN
flr-13	595	10	.	.	PROPN
flr-13	596	1	68	68	NUM
flr-13	597	1	|	|	NOUN
flr-13	597	2	f	f	NOUN
flr-13	597	3	l	l	NOUN
flr-13	597	4	r	r	NOUN
flr-13	597	5	hardgrave	hardgrave	NOUN
flr-13	597	6	,	,	PUNCT
flr-13	597	7	b.	b.	PROPN
flr-13	597	8	c.	c.	PROPN
flr-13	597	9	,	,	PUNCT
flr-13	597	10	wilson	wilson	PROPN
flr-13	597	11	,	,	PUNCT
flr-13	597	12	r.	r.	PROPN
flr-13	597	13	l.	l.	PROPN
flr-13	597	14	,	,	PUNCT
flr-13	597	15	&	&	CCONJ
flr-13	597	16	walstrom	walstrom	PROPN
flr-13	597	17	,	,	PUNCT
flr-13	597	18	k.	k.	PROPN
flr-13	597	19	a.	a.	PROPN
flr-13	598	1	(	(	PUNCT
flr-13	598	2	1994).predicting	1994).predicting	NUM
flr-13	598	3	graduate	graduate	NOUN
flr-13	598	4	student	student	NOUN
flr-13	598	5	success	success	NOUN
flr-13	598	6	:	:	PUNCT
flr-13	598	7	a	a	DET
flr-13	598	8	comparison	comparison	NOUN
flr-13	598	9	of	of	ADP
flr-13	598	10	neural	neural	ADJ
flr-13	598	11	networks	network	NOUN
flr-13	598	12	and	and	CCONJ
flr-13	598	13	traditional	traditional	ADJ
flr-13	598	14	techniques	technique	NOUN
flr-13	598	15	.	.	PUNCT
flr-13	599	1	computer	computer	NOUN
flr-13	599	2	and	and	CCONJ
flr-13	599	3	operations	operation	NOUN
flr-13	599	4	research	research	NOUN
flr-13	599	5	,	,	PUNCT
flr-13	599	6	21(3	21(3	NUM
flr-13	599	7	)	)	PUNCT
flr-13	599	8	,	,	PUNCT
flr-13	599	9	249	249	NUM
flr-13	599	10	-	-	SYM
flr-13	599	11	263	263	NUM
flr-13	599	12	.	.	PUNCT
flr-13	600	1	hazy	hazy	ADJ
flr-13	600	2	,	,	PUNCT
flr-13	600	3	t.	t.	PROPN
flr-13	600	4	e.	e.	PROPN
flr-13	600	5	,	,	PUNCT
flr-13	600	6	frank	frank	PROPN
flr-13	600	7	,	,	PUNCT
flr-13	600	8	m.	m.	NOUN
flr-13	600	9	j.	j.	PROPN
flr-13	600	10	,	,	PUNCT
flr-13	600	11	&	&	CCONJ
flr-13	600	12	o‟	o‟	PROPN
flr-13	600	13	reilly	reilly	PROPN
flr-13	600	14	,	,	PUNCT
flr-13	600	15	r.	r.	PROPN
flr-13	600	16	c.	c.	PROPN
flr-13	600	17	(	(	PUNCT
flr-13	600	18	2006	2006	NUM
flr-13	600	19	)	)	PUNCT
flr-13	600	20	.	.	PUNCT
flr-13	601	1	banishing	banish	VERB
flr-13	601	2	the	the	DET
flr-13	601	3	homunculus	homunculus	NOUN
flr-13	601	4	:	:	PUNCT
flr-13	601	5	making	make	VERB
flr-13	601	6	working	work	VERB
flr-13	601	7	memory	memory	NOUN
flr-13	601	8	work	work	NOUN
flr-13	601	9	,	,	PUNCT
flr-13	601	10	neuroscience	neuroscience	NOUN
flr-13	601	11	139	139	NUM
flr-13	601	12	,	,	PUNCT
flr-13	601	13	105–118	105–118	NUM
flr-13	601	14	.	.	PUNCT
flr-13	601	15	heitz	heitz	PROPN
flr-13	601	16	,	,	PUNCT
flr-13	601	17	r.	r.	PROPN
flr-13	601	18	p.	p.	PROPN
flr-13	601	19	,	,	PUNCT
flr-13	601	20	redick	redick	NOUN
flr-13	601	21	,	,	PUNCT
flr-13	601	22	t.	t.	PROPN
flr-13	601	23	s.	s.	PROPN
flr-13	601	24	,	,	PUNCT
flr-13	601	25	hambrick	hambrick	PROPN
flr-13	601	26	,	,	PUNCT
flr-13	601	27	d.	d.	PROPN
flr-13	601	28	z.	z.	PROPN
flr-13	601	29	,	,	PUNCT
flr-13	601	30	kane	kane	PROPN
flr-13	601	31	,	,	PUNCT
flr-13	601	32	m.	m.	PROPN
flr-13	601	33	j.	j.	PROPN
flr-13	601	34	,	,	PUNCT
flr-13	601	35	conway	conway	PROPN
flr-13	601	36	,	,	PUNCT
flr-13	601	37	a.	a.	PROPN
flr-13	601	38	r.	r.	PROPN
flr-13	601	39	a.	a.	PROPN
flr-13	601	40	,	,	PUNCT
flr-13	601	41	&	&	CCONJ
flr-13	601	42	engle	engle	PROPN
flr-13	601	43	,	,	PUNCT
flr-13	601	44	r.	r.	PROPN
flr-13	601	45	w.	w.	PROPN
flr-13	601	46	(	(	PUNCT
flr-13	601	47	2006	2006	NUM
flr-13	601	48	)	)	PUNCT
flr-13	601	49	.	.	PUNCT
flr-13	602	1	working	work	VERB
flr-13	602	2	memory	memory	NOUN
flr-13	602	3	,	,	PUNCT
flr-13	602	4	executive	executive	ADJ
flr-13	602	5	function	function	NOUN
flr-13	602	6	,	,	PUNCT
flr-13	602	7	and	and	CCONJ
flr-13	602	8	general	general	ADJ
flr-13	602	9	fluid	fluid	NOUN
flr-13	602	10	intelligence	intelligence	NOUN
flr-13	602	11	are	be	AUX
flr-13	602	12	not	not	PART
flr-13	602	13	the	the	DET
flr-13	602	14	same	same	ADJ
flr-13	602	15	.	.	PUNCT
flr-13	603	1	behavioral	behavioral	ADJ
flr-13	603	2	and	and	CCONJ
flr-13	603	3	brain	brain	NOUN
flr-13	603	4	sciences	science	NOUN
flr-13	603	5	,	,	PUNCT
flr-13	603	6	29	29	NUM
flr-13	603	7	,	,	PUNCT
flr-13	603	8	135	135	NUM
flr-13	603	9	-	-	SYM
flr-13	603	10	136	136	NUM
flr-13	603	11	.	.	PUNCT
flr-13	604	1	jarrold	jarrold	ADJ
flr-13	604	2	,	,	PUNCT
flr-13	604	3	c.	c.	PROPN
flr-13	604	4	,	,	PUNCT
flr-13	604	5	&	&	CCONJ
flr-13	604	6	towse	towse	PROPN
flr-13	604	7	,	,	PUNCT
flr-13	604	8	j.	j.	PROPN
flr-13	604	9	n.	n.	PROPN
flr-13	604	10	(	(	PUNCT
flr-13	604	11	2006	2006	NUM
flr-13	604	12	)	)	PUNCT
flr-13	604	13	.	.	PUNCT
flr-13	605	1	individual	individual	ADJ
flr-13	605	2	differences	difference	NOUN
flr-13	605	3	in	in	ADP
flr-13	605	4	working	working	NOUN
flr-13	605	5	memory	memory	NOUN
flr-13	605	6	.	.	PUNCT
flr-13	606	1	neuroscience	neuroscience	NOUN
flr-13	606	2	,	,	PUNCT
flr-13	606	3	139	139	NUM
flr-13	606	4	,	,	PUNCT
flr-13	606	5	39	39	NUM
flr-13	606	6	-	-	SYM
flr-13	606	7	50	50	NUM
flr-13	606	8	.	.	PUNCT
flr-13	607	1	jimmerson	jimmerson	NOUN
flr-13	607	2	,	,	PUNCT
flr-13	607	3	s.	s.	PROPN
flr-13	607	4	r.	r.	PROPN
flr-13	607	5	,	,	PUNCT
flr-13	607	6	dubrow	dubrow	PROPN
flr-13	607	7	,	,	PUNCT
flr-13	607	8	e.	e.	PROPN
flr-13	607	9	h.	h.	PROPN
flr-13	607	10	,	,	PUNCT
flr-13	607	11	adam	adam	PROPN
flr-13	607	12	,	,	PUNCT
flr-13	607	13	e.	e.	PROPN
flr-13	607	14	,	,	PUNCT
flr-13	607	15	gunnar	gunnar	PROPN
flr-13	607	16	,	,	PUNCT
flr-13	607	17	m.	m.	NOUN
flr-13	607	18	,	,	PUNCT
flr-13	607	19	&	&	CCONJ
flr-13	607	20	bozoky	bozoky	PROPN
flr-13	607	21	,	,	PUNCT
flr-13	607	22	i.	i.	PROPN
flr-13	607	23	k.	k.	PROPN
flr-13	608	1	(	(	PUNCT
flr-13	608	2	2006).associations	2006).association	NOUN
flr-13	608	3	among	among	ADP
flr-13	608	4	academic	academic	ADJ
flr-13	608	5	achievement	achievement	NOUN
flr-13	608	6	,	,	PUNCT
flr-13	608	7	attention	attention	NOUN
flr-13	608	8	,	,	PUNCT
flr-13	608	9	and	and	CCONJ
flr-13	608	10	andrenocortical	andrenocortical	ADJ
flr-13	608	11	reactivity	reactivity	NOUN
flr-13	608	12	in	in	ADP
flr-13	608	13	caribbean	caribbean	ADJ
flr-13	608	14	village	village	NOUN
flr-13	608	15	children	child	NOUN
flr-13	608	16	.	.	PUNCT
flr-13	609	1	canadian	canadian	ADJ
flr-13	609	2	journal	journal	PROPN
flr-13	609	3	of	of	ADP
flr-13	609	4	school	school	NOUN
flr-13	609	5	psychology	psychology	NOUN
flr-13	609	6	,	,	PUNCT
flr-13	609	7	21	21	NUM
flr-13	609	8	,	,	PUNCT
flr-13	609	9	120	120	NUM
flr-13	609	10	-	-	SYM
flr-13	609	11	138	138	NUM
flr-13	609	12	.	.	PUNCT
flr-13	610	1	kanakana	kanakana	PROPN
flr-13	610	2	,	,	PUNCT
flr-13	610	3	g.	g.	PROPN
flr-13	610	4	,	,	PUNCT
flr-13	610	5	&	&	CCONJ
flr-13	610	6	olanrewaju	olanrewaju	PROPN
flr-13	610	7	,	,	PUNCT
flr-13	610	8	a.	a.	NOUN
flr-13	610	9	(	(	PUNCT
flr-13	610	10	2011).predicting	2011).predicting	ADJ
flr-13	610	11	student	student	NOUN
flr-13	610	12	performance	performance	NOUN
flr-13	610	13	in	in	ADP
flr-13	610	14	engineering	engineering	NOUN
flr-13	610	15	education	education	NOUN
flr-13	610	16	using	use	VERB
flr-13	610	17	an	an	DET
flr-13	610	18	artificial	artificial	ADJ
flr-13	610	19	neural	neural	ADJ
flr-13	610	20	network	network	NOUN
flr-13	610	21	at	at	ADP
flr-13	610	22	tshwane	tshwane	NOUN
flr-13	610	23	university	university	NOUN
flr-13	610	24	of	of	ADP
flr-13	610	25	technology	technology	NOUN
flr-13	610	26	,	,	PUNCT
flr-13	610	27	proceedings	proceeding	NOUN
flr-13	610	28	of	of	ADP
flr-13	610	29	the	the	DET
flr-13	610	30	isem	isem	NOUN
flr-13	610	31	,	,	PUNCT
flr-13	610	32	stellenbosch	stellenbosch	PROPN
flr-13	610	33	,	,	PUNCT
flr-13	610	34	south	south	PROPN
flr-13	610	35	africa	africa	PROPN
flr-13	610	36	.	.	PUNCT
flr-13	611	1	kane	kane	PROPN
flr-13	611	2	,	,	PUNCT
flr-13	611	3	m.	m.	PROPN
flr-13	611	4	j.	j.	PROPN
flr-13	611	5	,	,	PUNCT
flr-13	611	6	hambrick	hambrick	PROPN
flr-13	611	7	,	,	PUNCT
flr-13	611	8	d.	d.	PROPN
flr-13	611	9	z.	z.	PROPN
flr-13	611	10	,	,	PUNCT
flr-13	611	11	tuholski	tuholski	PROPN
flr-13	611	12	,	,	PUNCT
flr-13	611	13	s.w	s.w	PROPN
flr-13	611	14	.	.	PROPN
flr-13	611	15	,	,	PUNCT
flr-13	611	16	wilhelm	wilhelm	PROPN
flr-13	611	17	,	,	PUNCT
flr-13	611	18	o.	o.	PROPN
flr-13	611	19	,	,	PUNCT
flr-13	611	20	payne	payne	PROPN
flr-13	611	21	,	,	PUNCT
flr-13	611	22	t.w	t.w	PROPN
flr-13	611	23	.	.	PROPN
flr-13	611	24	,	,	PUNCT
flr-13	611	25	&	&	CCONJ
flr-13	611	26	engle	engle	PROPN
flr-13	611	27	,	,	PUNCT
flr-13	611	28	r.w	r.w	PROPN
flr-13	611	29	.	.	PROPN
flr-13	611	30	(	(	PUNCT
flr-13	611	31	2004	2004	NUM
flr-13	611	32	)	)	PUNCT
flr-13	611	33	.	.	PUNCT
flr-13	612	1	the	the	DET
flr-13	612	2	generality	generality	NOUN
flr-13	612	3	of	of	ADP
flr-13	612	4	working	working	NOUN
flr-13	612	5	memory	memory	NOUN
flr-13	612	6	capacity	capacity	NOUN
flr-13	612	7	:	:	PUNCT
flr-13	612	8	a	a	DET
flr-13	612	9	latent	latent	ADJ
flr-13	612	10	variable	variable	ADJ
flr-13	612	11	approach	approach	NOUN
flr-13	612	12	to	to	ADP
flr-13	612	13	verbal	verbal	ADJ
flr-13	612	14	and	and	CCONJ
flr-13	612	15	visuospatial	visuospatial	ADJ
flr-13	612	16	memory	memory	NOUN
flr-13	612	17	span	span	NOUN
flr-13	612	18	and	and	CCONJ
flr-13	612	19	reasoning	reasoning	NOUN
flr-13	612	20	.	.	PUNCT
flr-13	613	1	journal	journal	NOUN
flr-13	613	2	of	of	ADP
flr-13	613	3	experimental	experimental	ADJ
flr-13	613	4	psychology	psychology	NOUN
flr-13	613	5	:	:	PUNCT
flr-13	613	6	general	general	ADJ
flr-13	613	7	,	,	PUNCT
flr-13	613	8	133	133	NUM
flr-13	613	9	,	,	PUNCT
flr-13	613	10	189	189	NUM
flr-13	613	11	-	-	SYM
flr-13	613	12	217	217	NUM
flr-13	613	13	.	.	PUNCT
flr-13	614	1	kent	kent	PROPN
flr-13	614	2	,	,	PUNCT
flr-13	614	3	r.	r.	PROPN
flr-13	614	4	(	(	PUNCT
flr-13	614	5	2009	2009	NUM
flr-13	614	6	)	)	PUNCT
flr-13	614	7	.	.	PUNCT
flr-13	615	1	rethinking	rethink	VERB
flr-13	615	2	data	datum	NOUN
flr-13	615	3	analysis	analysis	NOUN
flr-13	615	4	–	–	PUNCT
flr-13	615	5	part	part	NOUN
flr-13	615	6	two	two	NUM
flr-13	615	7	.	.	PUNCT
flr-13	616	1	some	some	DET
flr-13	616	2	alternatives	alternative	NOUN
flr-13	616	3	to	to	ADP
flr-13	616	4	frequentist	frequentist	NOUN
flr-13	616	5	approaches	approach	NOUN
flr-13	616	6	.	.	PUNCT
flr-13	617	1	international	international	ADJ
flr-13	617	2	journal	journal	NOUN
flr-13	617	3	of	of	ADP
flr-13	617	4	market	market	NOUN
flr-13	617	5	research	research	NOUN
flr-13	617	6	,	,	PUNCT
flr-13	617	7	51	51	NUM
flr-13	617	8	,	,	PUNCT
flr-13	617	9	181	181	NUM
flr-13	617	10	-	-	SYM
flr-13	617	11	202	202	NUM
flr-13	617	12	.	.	PUNCT
flr-13	618	1	kobrin	kobrin	PROPN
flr-13	618	2	,	,	PUNCT
flr-13	618	3	j.	j.	PROPN
flr-13	618	4	l.	l.	PROPN
flr-13	618	5	,	,	PUNCT
flr-13	618	6	patterson	patterson	PROPN
flr-13	618	7	,	,	PUNCT
flr-13	618	8	b.	b.	PROPN
flr-13	618	9	f.	f.	PROPN
flr-13	618	10	,	,	PUNCT
flr-13	618	11	shaw	shaw	PROPN
flr-13	618	12	,	,	PUNCT
flr-13	618	13	e.	e.	PROPN
flr-13	618	14	j.	j.	PROPN
flr-13	618	15	,	,	PUNCT
flr-13	618	16	mattern	mattern	PROPN
flr-13	618	17	,	,	PUNCT
flr-13	618	18	k.	k.	PROPN
flr-13	618	19	d.	d.	PROPN
flr-13	618	20	,	,	PUNCT
flr-13	618	21	&	&	CCONJ
flr-13	618	22	barbuti	barbuti	PROPN
flr-13	618	23	,	,	PUNCT
flr-13	618	24	s.	s.	PROPN
flr-13	618	25	m.	m.	PROPN
flr-13	618	26	(	(	PUNCT
flr-13	618	27	2008	2008	NUM
flr-13	618	28	)	)	PUNCT
flr-13	618	29	.	.	PUNCT
flr-13	619	1	validity	validity	NOUN
flr-13	619	2	of	of	ADP
flr-13	619	3	the	the	DET
flr-13	619	4	sat	sit	VERB
flr-13	619	5	for	for	ADP
flr-13	619	6	predicting	predict	VERB
flr-13	619	7	first	first	ADJ
flr-13	619	8	-	-	PUNCT
flr-13	619	9	year	year	NOUN
flr-13	619	10	college	college	NOUN
flr-13	619	11	grade	grade	NOUN
flr-13	619	12	point	point	NOUN
flr-13	619	13	average	average	ADJ
flr-13	619	14	.	.	PUNCT
flr-13	620	1	college	college	NOUN
flr-13	620	2	board	board	PROPN
flr-13	620	3	research	research	PROPN
flr-13	620	4	report	report	PROPN
flr-13	620	5	2008-5.new	2008-5.new	PROPN
flr-13	620	6	york	york	PROPN
flr-13	620	7	:	:	PUNCT
flr-13	620	8	the	the	DET
flr-13	620	9	college	college	NOUN
flr-13	620	10	board	board	PROPN
flr-13	620	11	.	.	PUNCT
flr-13	621	1	retrieved	retrieve	VERB
flr-13	621	2	from	from	ADP
flr-13	621	3	http://research.collegeboard.org/rr2008-5.pdf	http://research.collegeboard.org/rr2008-5.pdf	PROPN
flr-13	621	4	.	.	PUNCT
flr-13	622	1	kohavi	kohavi	PROPN
flr-13	622	2	,	,	PUNCT
flr-13	622	3	r.	r.	PROPN
flr-13	622	4	&	&	CCONJ
flr-13	622	5	provost	provost	PROPN
flr-13	622	6	,	,	PUNCT
flr-13	622	7	f.	f.	PROPN
flr-13	622	8	(	(	PUNCT
flr-13	622	9	1998).glossary	1998).glossary	NUM
flr-13	622	10	of	of	ADP
flr-13	622	11	terms	term	NOUN
flr-13	622	12	.	.	PUNCT
flr-13	623	1	machine	machine	NOUN
flr-13	623	2	learning	learning	PROPN
flr-13	623	3	,	,	PUNCT
flr-13	623	4	30(2–3	30(2–3	PROPN
flr-13	623	5	):	):	PUNCT
flr-13	623	6	271–274	271–274	NUM
flr-13	623	7	.	.	PUNCT
flr-13	623	8	kuncel	kuncel	PROPN
flr-13	623	9	,	,	PUNCT
flr-13	623	10	n.	n.	PROPN
flr-13	623	11	r.	r.	PROPN
flr-13	623	12	,	,	PUNCT
flr-13	623	13	hezlett	hezlett	PROPN
flr-13	623	14	,	,	PUNCT
flr-13	623	15	s.	s.	PROPN
flr-13	623	16	a.	a.	PROPN
flr-13	623	17	,	,	PUNCT
flr-13	623	18	&	&	CCONJ
flr-13	623	19	ones	one	NOUN
flr-13	623	20	,	,	PUNCT
flr-13	623	21	d.	d.	PROPN
flr-13	623	22	s.	s.	PROPN
flr-13	623	23	(	(	PUNCT
flr-13	623	24	2001	2001	NUM
flr-13	623	25	)	)	PUNCT
flr-13	623	26	.	.	PUNCT
flr-13	624	1	a	a	DET
flr-13	624	2	comprehensive	comprehensive	ADJ
flr-13	624	3	meta	meta	NOUN
flr-13	624	4	-	-	PUNCT
flr-13	624	5	analysis	analysis	NOUN
flr-13	624	6	of	of	ADP
flr-13	624	7	the	the	DET
flr-13	624	8	predictive	predictive	ADJ
flr-13	624	9	validity	validity	NOUN
flr-13	624	10	of	of	ADP
flr-13	624	11	the	the	DET
flr-13	624	12	graduate	graduate	NOUN
flr-13	624	13	record	record	NOUN
flr-13	624	14	examinations	examination	NOUN
flr-13	624	15	:	:	PUNCT
flr-13	624	16	implications	implication	NOUN
flr-13	624	17	for	for	ADP
flr-13	624	18	graduate	graduate	ADJ
flr-13	624	19	student	student	NOUN
flr-13	624	20	selection	selection	NOUN
flr-13	624	21	and	and	CCONJ
flr-13	624	22	performance	performance	NOUN
flr-13	624	23	.	.	PUNCT
flr-13	625	1	psychological	psychological	ADJ
flr-13	625	2	bulletin	bulletin	NOUN
flr-13	625	3	,	,	PUNCT
flr-13	625	4	127(1	127(1	NUM
flr-13	625	5	)	)	PUNCT
flr-13	625	6	,	,	PUNCT
flr-13	625	7	162	162	NUM
flr-13	625	8	-	-	SYM
flr-13	625	9	181	181	NUM
flr-13	625	10	.	.	PUNCT
flr-13	626	1	kuncel	kuncel	PROPN
flr-13	626	2	,	,	PUNCT
flr-13	626	3	n.	n.	PROPN
flr-13	626	4	r.	r.	PROPN
flr-13	626	5	,	,	PUNCT
flr-13	626	6	crede	crede	PROPN
flr-13	626	7	,	,	PUNCT
flr-13	626	8	m.	m.	NOUN
flr-13	626	9	,	,	PUNCT
flr-13	626	10	thomas	thomas	PROPN
flr-13	626	11	,	,	PUNCT
flr-13	626	12	l.	l.	PROPN
flr-13	626	13	l.	l.	PROPN
flr-13	626	14	,	,	PUNCT
flr-13	626	15	klieger	klieger	PROPN
flr-13	626	16	,	,	PUNCT
flr-13	626	17	d.m	d.m	PROPN
flr-13	626	18	.	.	PROPN
flr-13	626	19	,	,	PUNCT
flr-13	626	20	seiler	seiler	PROPN
flr-13	626	21	,	,	PUNCT
flr-13	626	22	s.n	s.n	PROPN
flr-13	626	23	.	.	PROPN
flr-13	626	24	,	,	PUNCT
flr-13	626	25	&	&	CCONJ
flr-13	626	26	woo	woo	PROPN
flr-13	626	27	,	,	PUNCT
flr-13	626	28	s.e	s.e	PROPN
flr-13	626	29	.	.	PROPN
flr-13	626	30	(	(	PUNCT
flr-13	626	31	2004	2004	NUM
flr-13	626	32	)	)	PUNCT
flr-13	626	33	.	.	PUNCT
flr-13	627	1	a	a	DET
flr-13	627	2	meta	meta	ADJ
flr-13	627	3	-	-	PUNCT
flr-13	627	4	analysis	analysis	NOUN
flr-13	627	5	of	of	ADP
flr-13	627	6	the	the	DET
flr-13	627	7	pharmacy	pharmacy	NOUN
flr-13	627	8	college	college	NOUN
flr-13	627	9	admission	admission	NOUN
flr-13	627	10	test	test	NOUN
flr-13	627	11	(	(	PUNCT
flr-13	627	12	pcat	pcat	PROPN
flr-13	627	13	)	)	PUNCT
flr-13	627	14	and	and	CCONJ
flr-13	627	15	grade	grade	NOUN
flr-13	627	16	predictors	predictor	NOUN
flr-13	627	17	of	of	ADP
flr-13	627	18	pharmacy	pharmacy	NOUN
flr-13	627	19	student	student	NOUN
flr-13	627	20	success	success	NOUN
flr-13	627	21	.	.	PUNCT
flr-13	628	1	annual	annual	ADJ
flr-13	628	2	conference	conference	NOUN
flr-13	628	3	of	of	ADP
flr-13	628	4	the	the	DET
flr-13	628	5	american	american	ADJ
flr-13	628	6	psychological	psychological	ADJ
flr-13	628	7	society	society	NOUN
flr-13	628	8	,	,	PUNCT
flr-13	628	9	chicago	chicago	PROPN
flr-13	628	10	,	,	PUNCT
flr-13	628	11	il	il	PROPN
flr-13	628	12	.	.	PROPN
flr-13	628	13	kuncel	kuncel	PROPN
flr-13	628	14	,	,	PUNCT
flr-13	628	15	n.	n.	PROPN
flr-13	628	16	r.	r.	PROPN
flr-13	628	17	,	,	PUNCT
flr-13	628	18	hezlett	hezlett	PROPN
flr-13	628	19	,	,	PUNCT
flr-13	628	20	s.	s.	PROPN
flr-13	628	21	a.	a.	PROPN
flr-13	628	22	,	,	PUNCT
flr-13	628	23	&	&	CCONJ
flr-13	628	24	ones	one	NOUN
flr-13	628	25	,	,	PUNCT
flr-13	628	26	d.	d.	PROPN
flr-13	628	27	s.	s.	PROPN
flr-13	628	28	(	(	PUNCT
flr-13	628	29	2004	2004	NUM
flr-13	628	30	)	)	PUNCT
flr-13	628	31	.	.	PUNCT
flr-13	629	1	academic	academic	ADJ
flr-13	629	2	performance	performance	NOUN
flr-13	629	3	,	,	PUNCT
flr-13	629	4	career	career	NOUN
flr-13	629	5	potential	potential	NOUN
flr-13	629	6	,	,	PUNCT
flr-13	629	7	creativity	creativity	NOUN
flr-13	629	8	,	,	PUNCT
flr-13	629	9	and	and	CCONJ
flr-13	629	10	job	job	NOUN
flr-13	629	11	performance	performance	NOUN
flr-13	629	12	:	:	PUNCT
flr-13	629	13	can	can	AUX
flr-13	629	14	one	one	NUM
flr-13	629	15	construct	construct	AUX
flr-13	629	16	predict	predict	VERB
flr-13	629	17	them	they	PRON
flr-13	629	18	all	all	PRON
flr-13	629	19	?	?	PUNCT
flr-13	630	1	journal	journal	NOUN
flr-13	630	2	of	of	ADP
flr-13	630	3	personality	personality	NOUN
flr-13	630	4	and	and	CCONJ
flr-13	630	5	social	social	ADJ
flr-13	630	6	psychology	psychology	NOUN
flr-13	630	7	,	,	PUNCT
flr-13	630	8	86(1	86(1	PROPN
flr-13	630	9	)	)	PUNCT
flr-13	630	10	,	,	PUNCT
flr-13	630	11	148	148	NUM
flr-13	630	12	-	-	SYM
flr-13	630	13	161	161	NUM
flr-13	630	14	.	.	PUNCT
flr-13	631	1	kuncel	kuncel	PROPN
flr-13	631	2	,	,	PUNCT
flr-13	631	3	n.	n.	PROPN
flr-13	631	4	r.	r.	PROPN
flr-13	631	5	,	,	PUNCT
flr-13	631	6	crede	crede	PROPN
flr-13	631	7	,	,	PUNCT
flr-13	631	8	m.	m.	NOUN
flr-13	631	9	,	,	PUNCT
flr-13	631	10	thomas	thomas	PROPN
flr-13	631	11	,	,	PUNCT
flr-13	631	12	l.	l.	PROPN
flr-13	631	13	l.	l.	PROPN
flr-13	631	14	,	,	PUNCT
flr-13	631	15	klieger	klieger	PROPN
flr-13	631	16	,	,	PUNCT
flr-13	631	17	d.	d.	PROPN
flr-13	631	18	m.	m.	PROPN
flr-13	631	19	,	,	PUNCT
flr-13	631	20	seiler	seiler	PROPN
flr-13	631	21	,	,	PUNCT
flr-13	631	22	s.	s.	PROPN
flr-13	631	23	n.	n.	PROPN
flr-13	631	24	,	,	PUNCT
flr-13	631	25	&	&	CCONJ
flr-13	631	26	woo	woo	PROPN
flr-13	631	27	,	,	PUNCT
flr-13	631	28	s.	s.	PROPN
flr-13	631	29	e.	e.	PROPN
flr-13	631	30	(	(	PUNCT
flr-13	631	31	2005	2005	NUM
flr-13	631	32	)	)	PUNCT
flr-13	631	33	.	.	PUNCT
flr-13	632	1	a	a	DET
flr-13	632	2	meta	meta	ADJ
flr-13	632	3	-	-	PUNCT
flr-13	632	4	analysis	analysis	NOUN
flr-13	632	5	of	of	ADP
flr-13	632	6	the	the	DET
flr-13	632	7	pharmacy	pharmacy	NOUN
flr-13	632	8	college	college	NOUN
flr-13	632	9	admission	admission	NOUN
flr-13	632	10	test	test	NOUN
flr-13	632	11	(	(	PUNCT
flr-13	632	12	pcat	pcat	PROPN
flr-13	632	13	)	)	PUNCT
flr-13	632	14	and	and	CCONJ
flr-13	632	15	grade	grade	NOUN
flr-13	632	16	predictors	predictor	NOUN
flr-13	632	17	of	of	ADP
flr-13	632	18	pharmacy	pharmacy	NOUN
flr-13	632	19	student	student	NOUN
flr-13	632	20	success	success	NOUN
flr-13	632	21	.	.	PUNCT
flr-13	633	1	american	american	ADJ
flr-13	633	2	journal	journal	PROPN
flr-13	633	3	of	of	ADP
flr-13	633	4	pharmaceutical	pharmaceutical	ADJ
flr-13	633	5	education	education	NOUN
flr-13	633	6	,	,	PUNCT
flr-13	633	7	69(3	69(3	NUM
flr-13	633	8	)	)	PUNCT
flr-13	633	9	,	,	PUNCT
flr-13	633	10	339	339	NUM
flr-13	633	11	-	-	SYM
flr-13	633	12	347	347	NUM
flr-13	633	13	.	.	PUNCT
flr-13	634	1	krumm	krumm	PROPN
flr-13	634	2	,	,	PUNCT
flr-13	634	3	s.	s.	PROPN
flr-13	634	4	,	,	PUNCT
flr-13	634	5	ziegler	ziegler	PROPN
flr-13	634	6	,	,	PUNCT
flr-13	634	7	m.	m.	NOUN
flr-13	634	8	,	,	PUNCT
flr-13	634	9	buehner	buehner	NOUN
flr-13	634	10	,	,	PUNCT
flr-13	634	11	m.	m.	NOUN
flr-13	634	12	(	(	PUNCT
flr-13	634	13	2008	2008	NUM
flr-13	634	14	)	)	PUNCT
flr-13	634	15	.	.	PUNCT
flr-13	635	1	reasoning	reasoning	NOUN
flr-13	635	2	and	and	CCONJ
flr-13	635	3	working	working	NOUN
flr-13	635	4	memory	memory	NOUN
flr-13	635	5	as	as	ADP
flr-13	635	6	predictors	predictor	NOUN
flr-13	635	7	of	of	ADP
flr-13	635	8	school	school	NOUN
flr-13	635	9	grades	grade	NOUN
flr-13	635	10	.	.	PUNCT
flr-13	636	1	learning	learning	NOUN
flr-13	636	2	and	and	CCONJ
flr-13	636	3	individual	individual	ADJ
flr-13	636	4	differences	difference	NOUN
flr-13	636	5	,	,	PUNCT
flr-13	636	6	18	18	NUM
flr-13	636	7	(	(	PUNCT
flr-13	636	8	2	2	NUM
flr-13	636	9	)	)	PUNCT
flr-13	636	10	,	,	PUNCT
flr-13	636	11	248	248	NUM
flr-13	636	12	-	-	SYM
flr-13	636	13	257	257	NUM
flr-13	636	14	.	.	PUNCT
flr-13	637	1	kyllonen	kyllonen	NOUN
flr-13	637	2	,	,	PUNCT
flr-13	637	3	p.	p.	PROPN
flr-13	637	4	c.	c.	PROPN
flr-13	637	5	,	,	PUNCT
flr-13	637	6	&	&	CCONJ
flr-13	637	7	christal	christal	PROPN
flr-13	637	8	,	,	PUNCT
flr-13	637	9	r.	r.	PROPN
flr-13	637	10	e.	e.	PROPN
flr-13	637	11	(	(	PUNCT
flr-13	637	12	1990	1990	NUM
flr-13	637	13	)	)	PUNCT
flr-13	637	14	.	.	PUNCT
flr-13	638	1	reasoning	reasoning	NOUN
flr-13	638	2	ability	ability	NOUN
flr-13	638	3	is	be	AUX
flr-13	638	4	(	(	PUNCT
flr-13	638	5	little	little	ADV
flr-13	638	6	more	more	ADJ
flr-13	638	7	than	than	ADP
flr-13	638	8	)	)	PUNCT
flr-13	638	9	working	work	VERB
flr-13	638	10	-	-	PUNCT
flr-13	638	11	memory	memory	NOUN
flr-13	638	12	capacity	capacity	NOUN
flr-13	638	13	?	?	PUNCT
flr-13	638	14	!	!	PUNCT
flr-13	639	1	intelligence	intelligence	NOUN
flr-13	639	2	,	,	PUNCT
flr-13	639	3	14	14	NUM
flr-13	639	4	,	,	PUNCT
flr-13	639	5	389	389	NUM
flr-13	639	6	-	-	SYM
flr-13	639	7	433	433	NUM
flr-13	639	8	.	.	PUNCT
flr-13	640	1	kyllonen	kyllonen	PROPN
flr-13	640	2	,	,	PUNCT
flr-13	640	3	p.	p.	PROPN
flr-13	640	4	c.	c.	PROPN
flr-13	640	5	,	,	PUNCT
flr-13	640	6	&	&	CCONJ
flr-13	640	7	stephens	stephens	PROPN
flr-13	640	8	,	,	PUNCT
flr-13	640	9	d.	d.	PROPN
flr-13	640	10	l.	l.	PROPN
flr-13	640	11	(	(	PUNCT
flr-13	640	12	1990).cognitive	1990).cognitive	NUM
flr-13	640	13	abilities	ability	NOUN
flr-13	640	14	as	as	ADP
flr-13	640	15	determinants	determinant	NOUN
flr-13	640	16	of	of	ADP
flr-13	640	17	success	success	NOUN
flr-13	640	18	in	in	ADP
flr-13	640	19	acquiring	acquire	VERB
flr-13	640	20	logic	logic	NOUN
flr-13	640	21	skill	skill	NOUN
flr-13	640	22	.	.	PUNCT
flr-13	641	1	learning	learning	NOUN
flr-13	641	2	and	and	CCONJ
flr-13	641	3	individual	individual	ADJ
flr-13	641	4	differences	difference	NOUN
flr-13	641	5	,	,	PUNCT
flr-13	641	6	2	2	NUM
flr-13	641	7	,	,	PUNCT
flr-13	641	8	129	129	NUM
flr-13	641	9	-	-	SYM
flr-13	641	10	160	160	NUM
flr-13	641	11	.	.	PUNCT
flr-13	642	1	kyndt	kyndt	PROPN
flr-13	642	2	,	,	PUNCT
flr-13	642	3	e.	e.	PROPN
flr-13	642	4	,	,	PUNCT
flr-13	642	5	cascallar	cascallar	PROPN
flr-13	642	6	,	,	PUNCT
flr-13	642	7	e.	e.	PROPN
flr-13	642	8	,	,	PUNCT
flr-13	642	9	&	&	CCONJ
flr-13	642	10	dochy	dochy	PROPN
flr-13	642	11	,	,	PUNCT
flr-13	642	12	f.	f.	PROPN
flr-13	642	13	(	(	PUNCT
flr-13	642	14	2012	2012	NUM
flr-13	642	15	)	)	PUNCT
flr-13	642	16	.	.	PUNCT
flr-13	643	1	individual	individual	ADJ
flr-13	643	2	differences	difference	NOUN
flr-13	643	3	in	in	ADP
flr-13	643	4	working	working	NOUN
flr-13	643	5	memory	memory	NOUN
flr-13	643	6	capacity	capacity	NOUN
flr-13	643	7	and	and	CCONJ
flr-13	643	8	attention	attention	NOUN
flr-13	643	9	,	,	PUNCT
flr-13	643	10	and	and	CCONJ
flr-13	643	11	their	their	PRON
flr-13	643	12	relationship	relationship	NOUN
flr-13	643	13	with	with	ADP
flr-13	643	14	students‟	students‟	ADJ
flr-13	643	15	approaches	approach	NOUN
flr-13	643	16	to	to	ADP
flr-13	643	17	learning	learn	VERB
flr-13	643	18	.	.	PUNCT
flr-13	644	1	higher	high	ADJ
flr-13	644	2	education	education	NOUN
flr-13	644	3	,	,	PUNCT
flr-13	644	4	64(3	64(3	NOUN
flr-13	644	5	)	)	PUNCT
flr-13	644	6	,	,	PUNCT
flr-13	644	7	285297	285297	NUM
flr-13	644	8	.	.	PUNCT
flr-13	645	1	kyndt	kyndt	PROPN
flr-13	645	2	,	,	PUNCT
flr-13	645	3	e.	e.	PROPN
flr-13	645	4	,	,	PUNCT
flr-13	645	5	musso	musso	PROPN
flr-13	645	6	,	,	PUNCT
flr-13	645	7	m.	m.	NOUN
flr-13	645	8	,	,	PUNCT
flr-13	645	9	cascallar	cascallar	ADJ
flr-13	645	10	,	,	PUNCT
flr-13	645	11	e.	e.	PROPN
flr-13	645	12	,	,	PUNCT
flr-13	645	13	&	&	CCONJ
flr-13	645	14	dochy	dochy	PROPN
flr-13	645	15	,	,	PUNCT
flr-13	645	16	f.	f.	PROPN
flr-13	645	17	(	(	PUNCT
flr-13	645	18	2012	2012	NUM
flr-13	645	19	,	,	PUNCT
flr-13	645	20	submitted	submit	VERB
flr-13	645	21	)	)	PUNCT
flr-13	645	22	.	.	PUNCT
flr-13	646	1	predicting	predict	VERB
flr-13	646	2	academic	academic	ADJ
flr-13	646	3	performance	performance	NOUN
flr-13	646	4	:	:	PUNCT
flr-13	646	5	the	the	DET
flr-13	646	6	role	role	NOUN
flr-13	646	7	of	of	ADP
flr-13	646	8	cognition	cognition	NOUN
flr-13	646	9	,	,	PUNCT
flr-13	646	10	motivation	motivation	NOUN
flr-13	646	11	and	and	CCONJ
flr-13	646	12	learning	learn	VERB
flr-13	646	13	approaches	approach	NOUN
flr-13	646	14	.	.	PUNCT
flr-13	647	1	a	a	DET
flr-13	647	2	neural	neural	ADJ
flr-13	647	3	network	network	NOUN
flr-13	647	4	analysis.journal	analysis.journal	ADJ
flr-13	647	5	of	of	ADP
flr-13	647	6	further	further	ADJ
flr-13	647	7	and	and	CCONJ
flr-13	647	8	higher	high	ADJ
flr-13	647	9	education	education	NOUN
flr-13	647	10	.	.	PUNCT
flr-13	648	1	landerl	landerl	PROPN
flr-13	648	2	,	,	PUNCT
flr-13	648	3	k.	k.	PROPN
flr-13	648	4	(	(	PUNCT
flr-13	648	5	2010	2010	NUM
flr-13	648	6	)	)	PUNCT
flr-13	648	7	.	.	PUNCT
flr-13	649	1	temporal	temporal	ADJ
flr-13	649	2	processing	processing	NOUN
flr-13	649	3	,	,	PUNCT
flr-13	649	4	attention	attention	NOUN
flr-13	649	5	,	,	PUNCT
flr-13	649	6	and	and	CCONJ
flr-13	649	7	learning	learn	VERB
flr-13	649	8	disorders	disorder	NOUN
flr-13	649	9	.	.	PUNCT
flr-13	650	1	learning	learning	NOUN
flr-13	650	2	&	&	CCONJ
flr-13	650	3	individual	individual	ADJ
flr-13	650	4	differences	difference	NOUN
flr-13	650	5	,	,	PUNCT
flr-13	650	6	20(5	20(5	NUM
flr-13	650	7	)	)	PUNCT
flr-13	650	8	,	,	PUNCT
flr-13	650	9	393	393	NUM
flr-13	650	10	-	-	SYM
flr-13	650	11	401	401	NUM
flr-13	650	12	.	.	PUNCT
flr-13	650	13	linn	linn	PROPN
flr-13	650	14	,	,	PUNCT
flr-13	650	15	r.	r.	PROPN
flr-13	650	16	l.	l.	PROPN
flr-13	650	17	,	,	PUNCT
flr-13	650	18	&	&	CCONJ
flr-13	650	19	hastings	hastings	PROPN
flr-13	650	20	,	,	PUNCT
flr-13	650	21	c.	c.	PROPN
flr-13	650	22	n.	n.	PROPN
flr-13	650	23	(	(	PUNCT
flr-13	650	24	1984	1984	NUM
flr-13	650	25	)	)	PUNCT
flr-13	650	26	.	.	PUNCT
flr-13	651	1	a	a	DET
flr-13	651	2	meta	meta	ADJ
flr-13	651	3	-	-	PUNCT
flr-13	651	4	analysis	analysis	NOUN
flr-13	651	5	of	of	ADP
flr-13	651	6	the	the	DET
flr-13	651	7	validity	validity	NOUN
flr-13	651	8	of	of	ADP
flr-13	651	9	predictors	predictor	NOUN
flr-13	651	10	of	of	ADP
flr-13	651	11	performance	performance	NOUN
flr-13	651	12	in	in	ADP
flr-13	651	13	law	law	NOUN
flr-13	651	14	school	school	NOUN
flr-13	651	15	.	.	PUNCT
flr-13	652	1	journal	journal	PROPN
flr-13	652	2	of	of	ADP
flr-13	652	3	educational	educational	ADJ
flr-13	652	4	measurement	measurement	NOUN
flr-13	652	5	,	,	PUNCT
flr-13	652	6	21	21	NUM
flr-13	652	7	,	,	PUNCT
flr-13	652	8	245	245	NUM
flr-13	652	9	-	-	SYM
flr-13	652	10	259	259	NUM
flr-13	652	11	.	.	PUNCT
flr-13	653	1	http://www.psychology.gatech.edu/renglelab/publications/2006/heitzetal_bbs_2006.pdf	http://www.psychology.gatech.edu/renglelab/publications/2006/heitzetal_bbs_2006.pdf	PROPN
flr-13	653	2	http://www.psychology.gatech.edu/renglelab/publications/2006/heitzetal_bbs_2006.pdf	http://www.psychology.gatech.edu/renglelab/publications/2006/heitzetal_bbs_2006.pdf	PROPN
flr-13	653	3	http://www.psychology.gatech.edu/renglelab/publications/2006/heitzetal_bbs_2006.pdf	http://www.psychology.gatech.edu/renglelab/publications/2006/heitzetal_bbs_2006.pdf	PROPN
flr-13	653	4	http://internal.psychology.illinois.edu/~nkuncel/gre%20meta.pdf	http://internal.psychology.illinois.edu/~nkuncel/gre%20meta.pdf	PROPN
flr-13	653	5	http://internal.psychology.illinois.edu/~nkuncel/gre%20meta.pdf	http://internal.psychology.illinois.edu/~nkuncel/gre%20meta.pdf	PROPN
flr-13	653	6	http://internal.psychology.illinois.edu/~nkuncel/gre%20meta.pdf	http://internal.psychology.illinois.edu/~nkuncel/gre%20meta.pdf	PROPN
flr-13	653	7	http://internal.psychology.illinois.edu/~nkuncel/academic_performance%20-%20in%20jpsp,%20by%20kuncel.pdf	http://internal.psychology.illinois.edu/~nkuncel/academic_performance%20-%20in%20jpsp,%20by%20kuncel.pdf	PROPN
flr-13	653	8	http://internal.psychology.illinois.edu/~nkuncel/academic_performance%20-%20in%20jpsp,%20by%20kuncel.pdf	http://internal.psychology.illinois.edu/~nkuncel/academic_performance%20-%20in%20jpsp,%20by%20kuncel.pdf	PROPN
flr-13	653	9	http://internal.psychology.illinois.edu/~nkuncel/academic_performance%20-%20in%20jpsp,%20by%20kuncel.pdf	http://internal.psychology.illinois.edu/~nkuncel/academic_performance%20-%20in%20jpsp,%20by%20kuncel.pdf	PROPN
flr-13	653	10	http://internal.psychology.illinois.edu/~nkuncel/kuncel%20et%20al%202005%20-%20pcat%20-%20ajpe.pdf	http://internal.psychology.illinois.edu/~nkuncel/kuncel%20et%20al%202005%20-%20pcat%20-%20ajpe.pdf	PROPN
flr-13	653	11	http://internal.psychology.illinois.edu/~nkuncel/kuncel%20et%20al%202005%20-%20pcat%20-%20ajpe.pdf	http://internal.psychology.illinois.edu/~nkuncel/kuncel%20et%20al%202005%20-%20pcat%20-%20ajpe.pdf	PROPN
flr-13	653	12	http://internal.psychology.illinois.edu/~nkuncel/kuncel%20et%20al%202005%20-%20pcat%20-%20ajpe.pdf	http://internal.psychology.illinois.edu/~nkuncel/kuncel%20et%20al%202005%20-%20pcat%20-%20ajpe.pdf	PROPN
flr-13	653	13	m.	m.	PROPN
flr-13	653	14	f.	f.	PROPN
flr-13	653	15	musso	musso	PROPN
flr-13	653	16	et	et	PROPN
flr-13	653	17	al	al	PROPN
flr-13	653	18	.	.	PROPN
flr-13	653	19	69	69	NUM
flr-13	654	1	|	|	NOUN
flr-13	654	2	f	f	NOUN
flr-13	654	3	l	l	NOUN
flr-13	654	4	r	r	NOUN
flr-13	654	5	lippman	lippman	PROPN
flr-13	654	6	,	,	PUNCT
flr-13	654	7	r.	r.	PROPN
flr-13	654	8	(	(	PUNCT
flr-13	654	9	1987	1987	NUM
flr-13	654	10	)	)	PUNCT
flr-13	654	11	.	.	PUNCT
flr-13	655	1	an	an	DET
flr-13	655	2	introduction	introduction	NOUN
flr-13	655	3	to	to	ADP
flr-13	655	4	computing	compute	VERB
flr-13	655	5	with	with	ADP
flr-13	655	6	neuralets	neuralet	NOUN
flr-13	655	7	.	.	PUNCT
flr-13	656	1	ieee	ieee	PROPN
flr-13	656	2	assp	assp	PROPN
flr-13	656	3	magazine	magazine	NOUN
flr-13	656	4	,	,	PUNCT
flr-13	656	5	3(4	3(4	NUM
flr-13	656	6	)	)	PUNCT
flr-13	656	7	,	,	PUNCT
flr-13	656	8	4	4	NUM
flr-13	656	9	-	-	SYM
flr-13	656	10	22	22	NUM
flr-13	656	11	.	.	PUNCT
flr-13	657	1	lovett	lovett	PROPN
flr-13	657	2	,	,	PUNCT
flr-13	657	3	m.	m.	PROPN
flr-13	657	4	w.	w.	PROPN
flr-13	657	5	(	(	PUNCT
flr-13	657	6	1979	1979	NUM
flr-13	657	7	)	)	PUNCT
flr-13	657	8	.	.	PUNCT
flr-13	658	1	the	the	DET
flr-13	658	2	selective	selective	ADJ
flr-13	658	3	encoding	encoding	NOUN
flr-13	658	4	of	of	ADP
flr-13	658	5	sentential	sentential	ADJ
flr-13	658	6	information	information	NOUN
flr-13	658	7	in	in	ADP
flr-13	658	8	normal	normal	ADJ
flr-13	658	9	reading	reading	NOUN
flr-13	658	10	development	development	NOUN
flr-13	658	11	.	.	PUNCT
flr-13	659	1	child	child	NOUN
flr-13	659	2	development	development	PROPN
flr-13	659	3	,	,	PUNCT
flr-13	659	4	50(3	50(3	NUM
flr-13	659	5	)	)	PUNCT
flr-13	659	6	,	,	PUNCT
flr-13	659	7	897	897	NUM
flr-13	659	8	.	.	PUNCT
flr-13	660	1	lykins	lykins	PROPN
flr-13	660	2	,	,	PUNCT
flr-13	660	3	s.	s.	PROPN
flr-13	660	4	,	,	PUNCT
flr-13	660	5	&	&	CCONJ
flr-13	660	6	chance	chance	PROPN
flr-13	660	7	,	,	PUNCT
flr-13	660	8	d.	d.	PROPN
flr-13	660	9	(	(	PUNCT
flr-13	660	10	1992	1992	NUM
flr-13	660	11	)	)	PUNCT
flr-13	660	12	.	.	PUNCT
flr-13	661	1	comparing	compare	VERB
flr-13	661	2	artificial	artificial	ADJ
flr-13	661	3	neural	neural	ADJ
flr-13	661	4	networks	network	NOUN
flr-13	661	5	and	and	CCONJ
flr-13	661	6	multiple	multiple	ADJ
flr-13	661	7	regression	regression	NOUN
flr-13	661	8	for	for	ADP
flr-13	661	9	predictive	predictive	ADJ
flr-13	661	10	application	application	NOUN
flr-13	661	11	,	,	PUNCT
flr-13	661	12	proceedings	proceeding	NOUN
flr-13	661	13	of	of	ADP
flr-13	661	14	the	the	DET
flr-13	661	15	eight	eight	NUM
flr-13	661	16	annual	annual	ADJ
flr-13	661	17	conference	conference	NOUN
flr-13	661	18	on	on	ADP
flr-13	661	19	applied	applied	ADJ
flr-13	661	20	mathematics	mathematic	NOUN
flr-13	661	21	,	,	PUNCT
flr-13	661	22	edmond	edmond	PROPN
flr-13	661	23	ok	ok	PROPN
flr-13	661	24	,	,	PUNCT
flr-13	661	25	155169	155169	NUM
flr-13	661	26	marquez	marquez	PROPN
flr-13	661	27	,	,	PUNCT
flr-13	661	28	l.	l.	PROPN
flr-13	661	29	,	,	PUNCT
flr-13	661	30	hill	hill	PROPN
flr-13	661	31	,	,	PUNCT
flr-13	661	32	t.	t.	PROPN
flr-13	661	33	,	,	PUNCT
flr-13	661	34	worthley	worthley	PROPN
flr-13	661	35	,	,	PUNCT
flr-13	661	36	r.	r.	PROPN
flr-13	661	37	,	,	PUNCT
flr-13	661	38	&	&	CCONJ
flr-13	661	39	remus	remus	PROPN
flr-13	661	40	,	,	PUNCT
flr-13	661	41	w.	w.	PROPN
flr-13	661	42	(	(	PUNCT
flr-13	661	43	1991	1991	NUM
flr-13	661	44	)	)	PUNCT
flr-13	661	45	.	.	PUNCT
flr-13	662	1	neural	neural	ADJ
flr-13	662	2	network	network	NOUN
flr-13	662	3	models	model	NOUN
flr-13	662	4	as	as	ADP
flr-13	662	5	an	an	DET
flr-13	662	6	alternative	alternative	NOUN
flr-13	662	7	to	to	AUX
flr-13	662	8	regression	regression	NOUN
flr-13	662	9	.	.	PUNCT
flr-13	663	1	proceedings	proceeding	NOUN
flr-13	663	2	of	of	ADP
flr-13	663	3	the	the	DET
flr-13	663	4	ieee	ieee	NOUN
flr-13	663	5	24th	24th	NOUN
flr-13	663	6	annual	annual	ADJ
flr-13	663	7	hawaii	hawaii	PROPN
flr-13	663	8	international	international	PROPN
flr-13	663	9	conference	conference	NOUN
flr-13	663	10	on	on	ADP
flr-13	663	11	systems	system	NOUN
flr-13	663	12	sciences	science	NOUN
flr-13	663	13	,	,	PUNCT
flr-13	663	14	4	4	NUM
flr-13	663	15	,	,	PUNCT
flr-13	663	16	129	129	NUM
flr-13	663	17	-	-	SYM
flr-13	663	18	135	135	NUM
flr-13	663	19	.	.	PUNCT
flr-13	664	1	marshall	marshall	PROPN
flr-13	664	2	,	,	PUNCT
flr-13	664	3	d.	d.	PROPN
flr-13	664	4	b.	b.	PROPN
flr-13	664	5	,	,	PUNCT
flr-13	664	6	&	&	CCONJ
flr-13	664	7	english	english	PROPN
flr-13	664	8	,	,	PUNCT
flr-13	664	9	d.	d.	PROPN
flr-13	664	10	j.	j.	PROPN
flr-13	664	11	(	(	PUNCT
flr-13	664	12	2000).neural	2000).neural	NUM
flr-13	664	13	network	network	NOUN
flr-13	664	14	modelling	modelling	NOUN
flr-13	664	15	of	of	ADP
flr-13	664	16	risk	risk	NOUN
flr-13	664	17	assessment	assessment	NOUN
flr-13	664	18	in	in	ADP
flr-13	664	19	child	child	NOUN
flr-13	664	20	protective	protective	ADJ
flr-13	664	21	services	service	NOUN
flr-13	664	22	.	.	PUNCT
flr-13	665	1	psychological	psychological	ADJ
flr-13	665	2	methods	method	NOUN
flr-13	665	3	,	,	PUNCT
flr-13	665	4	5(1	5(1	NUM
flr-13	665	5	)	)	PUNCT
flr-13	665	6	,	,	PUNCT
flr-13	665	7	102	102	NUM
flr-13	665	8	-	-	SYM
flr-13	665	9	124	124	NUM
flr-13	665	10	.	.	PUNCT
flr-13	666	1	maucieri	maucieri	PROPN
flr-13	666	2	,	,	PUNCT
flr-13	666	3	l.	l.	PROPN
flr-13	666	4	p.	p.	PROPN
flr-13	666	5	(	(	PUNCT
flr-13	666	6	2003	2003	NUM
flr-13	666	7	)	)	PUNCT
flr-13	666	8	.	.	PUNCT
flr-13	667	1	predicting	predict	VERB
flr-13	667	2	behavior	behavior	NOUN
flr-13	667	3	with	with	ADP
flr-13	667	4	an	an	DET
flr-13	667	5	artificial	artificial	ADJ
flr-13	667	6	neural	neural	ADJ
flr-13	667	7	network	network	NOUN
flr-13	667	8	:	:	PUNCT
flr-13	667	9	a	a	DET
flr-13	667	10	comparison	comparison	NOUN
flr-13	667	11	with	with	ADP
flr-13	667	12	linear	linear	ADJ
flr-13	667	13	models	model	NOUN
flr-13	667	14	of	of	ADP
flr-13	667	15	prediction	prediction	NOUN
flr-13	667	16	(	(	PUNCT
flr-13	667	17	january	january	PROPN
flr-13	667	18	1	1	NUM
flr-13	667	19	,	,	PUNCT
flr-13	667	20	2003	2003	NUM
flr-13	667	21	)	)	PUNCT
flr-13	667	22	.	.	PUNCT
flr-13	668	1	etd	etd	ADJ
flr-13	668	2	collection	collection	NOUN
flr-13	668	3	for	for	ADP
flr-13	668	4	fordham	fordham	PROPN
flr-13	668	5	university	university	PROPN
flr-13	668	6	,	,	PUNCT
flr-13	668	7	ny	ny	PROPN
flr-13	668	8	,	,	PUNCT
flr-13	668	9	usa	usa	PROPN
flr-13	668	10	.	.	PROPN
flr-13	668	11	retrieved	retrieve	VERB
flr-13	668	12	from	from	ADP
flr-13	668	13	http://fordham.bepress.com/dissertations/aai3098134	http://fordham.bepress.com/dissertations/aai3098134	NOUN
flr-13	668	14	.	.	PUNCT
flr-13	669	1	mavrovouniotis	mavrovouniotis	PROPN
flr-13	669	2	,	,	PUNCT
flr-13	669	3	m.	m.	PROPN
flr-13	669	4	l.	l.	PROPN
flr-13	669	5	&	&	CCONJ
flr-13	669	6	chang	chang	PROPN
flr-13	669	7	,	,	PUNCT
flr-13	669	8	s.	s.	PROPN
flr-13	669	9	(	(	PUNCT
flr-13	669	10	1992).hierarchical	1992).hierarchical	NUM
flr-13	669	11	neural	neural	ADJ
flr-13	669	12	networks	network	NOUN
flr-13	669	13	.	.	PUNCT
flr-13	670	1	computers	computer	NOUN
flr-13	670	2	&	&	CCONJ
flr-13	670	3	chemical	chemical	PROPN
flr-13	670	4	engineering	engineering	PROPN
flr-13	670	5	,	,	PUNCT
flr-13	670	6	16(4	16(4	NUM
flr-13	670	7	)	)	PUNCT
flr-13	670	8	,	,	PUNCT
flr-13	670	9	347	347	NUM
flr-13	670	10	-	-	SYM
flr-13	670	11	369	369	NUM
flr-13	670	12	.	.	PUNCT
flr-13	671	1	miñano	miñano	PROPN
flr-13	671	2	,	,	PUNCT
flr-13	671	3	p.	p.	NOUN
flr-13	671	4	,	,	PUNCT
flr-13	671	5	gilar	gilar	X
flr-13	671	6	,	,	PUNCT
flr-13	671	7	r.	r.	PROPN
flr-13	671	8	,	,	PUNCT
flr-13	671	9	&	&	CCONJ
flr-13	671	10	castejón	castejón	PROPN
flr-13	671	11	,	,	PUNCT
flr-13	671	12	j.	j.	PROPN
flr-13	671	13	l.	l.	PROPN
flr-13	671	14	(	(	PUNCT
flr-13	671	15	2012	2012	NUM
flr-13	671	16	)	)	PUNCT
flr-13	671	17	a	a	DET
flr-13	671	18	structural	structural	ADJ
flr-13	671	19	model	model	NOUN
flr-13	671	20	of	of	ADP
flr-13	671	21	cognitive	cognitive	ADJ
flr-13	671	22	-	-	PUNCT
flr-13	671	23	motivational	motivational	ADJ
flr-13	671	24	variables	variable	NOUN
flr-13	671	25	as	as	ADP
flr-13	671	26	explanatory	explanatory	ADJ
flr-13	671	27	factors	factor	NOUN
flr-13	671	28	of	of	ADP
flr-13	671	29	academic	academic	ADJ
flr-13	671	30	achievement	achievement	NOUN
flr-13	671	31	in	in	ADP
flr-13	671	32	spanish	spanish	ADJ
flr-13	671	33	language	language	NOUN
flr-13	671	34	and	and	CCONJ
flr-13	671	35	mathematics	mathematic	NOUN
flr-13	671	36	.	.	PUNCT
flr-13	672	1	anales	anales	PROPN
flr-13	672	2	de	de	X
flr-13	672	3	psicología	psicología	PROPN
flr-13	672	4	,	,	PUNCT
flr-13	672	5	28(1	28(1	NOUN
flr-13	672	6	)	)	PUNCT
flr-13	672	7	,	,	PUNCT
flr-13	672	8	45	45	NUM
flr-13	672	9	-	-	SYM
flr-13	672	10	54	54	NUM
flr-13	672	11	.	.	PUNCT
flr-13	672	12	mislevy	mislevy	PROPN
flr-13	672	13	,	,	PUNCT
flr-13	672	14	r.	r.	PROPN
flr-13	672	15	j.	j.	PROPN
flr-13	672	16	(	(	PUNCT
flr-13	672	17	2013	2013	NUM
flr-13	672	18	)	)	PUNCT
flr-13	672	19	.	.	PUNCT
flr-13	673	1	measurement	measurement	NOUN
flr-13	673	2	is	be	AUX
flr-13	673	3	a	a	DET
flr-13	673	4	necessary	necessary	ADJ
flr-13	673	5	but	but	CCONJ
flr-13	673	6	not	not	PART
flr-13	673	7	sufficient	sufficient	ADJ
flr-13	673	8	frame	frame	NOUN
flr-13	673	9	for	for	ADP
flr-13	673	10	assessment	assessment	NOUN
flr-13	673	11	.	.	PUNCT
flr-13	674	1	measurement	measurement	NOUN
flr-13	674	2	,	,	PUNCT
flr-13	674	3	11	11	NUM
flr-13	674	4	,	,	PUNCT
flr-13	674	5	47–49	47–49	NUM
flr-13	674	6	,	,	PUNCT
flr-13	674	7	2013	2013	NUM
flr-13	674	8	mislevy	mislevy	NOUN
flr-13	674	9	,	,	PUNCT
flr-13	674	10	r.	r.	PROPN
flr-13	674	11	j.	j.	PROPN
flr-13	674	12	,	,	PUNCT
flr-13	674	13	steinberg	steinberg	PROPN
flr-13	674	14	,	,	PUNCT
flr-13	674	15	l.	l.	PROPN
flr-13	674	16	s.	s.	PROPN
flr-13	674	17	,	,	PUNCT
flr-13	674	18	&	&	CCONJ
flr-13	674	19	almond	almond	PROPN
flr-13	674	20	,	,	PUNCT
flr-13	674	21	r.	r.	PROPN
flr-13	674	22	a.	a.	PROPN
flr-13	674	23	(	(	PUNCT
flr-13	674	24	2003	2003	NUM
flr-13	674	25	)	)	PUNCT
flr-13	674	26	.	.	PUNCT
flr-13	675	1	on	on	ADP
flr-13	675	2	the	the	DET
flr-13	675	3	structure	structure	NOUN
flr-13	675	4	of	of	ADP
flr-13	675	5	educational	educational	ADJ
flr-13	675	6	assessments	assessment	NOUN
flr-13	675	7	.	.	PUNCT
flr-13	676	1	measurement	measurement	NOUN
flr-13	676	2	:	:	PUNCT
flr-13	676	3	interdisciplinary	interdisciplinary	ADJ
flr-13	676	4	research	research	NOUN
flr-13	676	5	and	and	CCONJ
flr-13	676	6	perspectives	perspective	NOUN
flr-13	676	7	,	,	PUNCT
flr-13	676	8	1	1	NUM
flr-13	676	9	,	,	PUNCT
flr-13	676	10	3–67	3–67	ADJ
flr-13	676	11	.	.	PUNCT
flr-13	677	1	mukta	mukta	PROPN
flr-13	677	2	,	,	PUNCT
flr-13	677	3	p.	p.	PROPN
flr-13	677	4	,	,	PUNCT
flr-13	677	5	&	&	CCONJ
flr-13	677	6	usha	usha	PROPN
flr-13	677	7	,	,	PUNCT
flr-13	677	8	a.	a.	PROPN
flr-13	677	9	,	,	PUNCT
flr-13	677	10	(	(	PUNCT
flr-13	677	11	2009	2009	NUM
flr-13	677	12	)	)	PUNCT
flr-13	677	13	.	.	PUNCT
flr-13	678	1	a	a	DET
flr-13	678	2	study	study	NOUN
flr-13	678	3	of	of	ADP
flr-13	678	4	academic	academic	ADJ
flr-13	678	5	performance	performance	NOUN
flr-13	678	6	of	of	ADP
flr-13	678	7	business	business	NOUN
flr-13	678	8	school	school	NOUN
flr-13	678	9	graduates	graduate	NOUN
flr-13	678	10	using	use	VERB
flr-13	678	11	neural	neural	ADJ
flr-13	678	12	network	network	NOUN
flr-13	678	13	and	and	CCONJ
flr-13	678	14	statistical	statistical	ADJ
flr-13	678	15	techniques	technique	NOUN
flr-13	678	16	.	.	PUNCT
flr-13	679	1	expert	expert	NOUN
flr-13	679	2	systems	system	NOUN
flr-13	679	3	with	with	ADP
flr-13	679	4	applications	application	NOUN
flr-13	679	5	,	,	PUNCT
flr-13	679	6	36(4	36(4	NUM
flr-13	679	7	)	)	PUNCT
flr-13	679	8	,	,	PUNCT
flr-13	679	9	7865	7865	NUM
flr-13	679	10	-	-	SYM
flr-13	679	11	7872	7872	NUM
flr-13	679	12	.	.	PUNCT
flr-13	680	1	musso	musso	PROPN
flr-13	680	2	,	,	PUNCT
flr-13	680	3	m.	m.	PROPN
flr-13	680	4	f.	f.	PROPN
flr-13	680	5	,	,	PUNCT
flr-13	680	6	&	&	CCONJ
flr-13	680	7	cascallar	cascallar	PROPN
flr-13	680	8	,	,	PUNCT
flr-13	680	9	e.	e.	PROPN
flr-13	680	10	c.	c.	PROPN
flr-13	680	11	(	(	PUNCT
flr-13	680	12	2009a	2009a	NUM
flr-13	680	13	)	)	PUNCT
flr-13	680	14	.	.	PUNCT
flr-13	681	1	new	new	ADJ
flr-13	681	2	approaches	approach	NOUN
flr-13	681	3	for	for	ADP
flr-13	681	4	improved	improved	ADJ
flr-13	681	5	quality	quality	NOUN
flr-13	681	6	in	in	ADP
flr-13	681	7	educational	educational	ADJ
flr-13	681	8	assessments	assessment	NOUN
flr-13	681	9	:	:	PUNCT
flr-13	681	10	using	use	VERB
flr-13	681	11	automated	automate	VERB
flr-13	681	12	predictive	predictive	ADJ
flr-13	681	13	systems	system	NOUN
flr-13	681	14	in	in	ADP
flr-13	681	15	reading	reading	NOUN
flr-13	681	16	and	and	CCONJ
flr-13	681	17	mathematics	mathematic	NOUN
flr-13	681	18	.	.	PUNCT
flr-13	682	1	journal	journal	PROPN
flr-13	682	2	of	of	ADP
flr-13	682	3	problems	problem	NOUN
flr-13	682	4	of	of	ADP
flr-13	682	5	education	education	NOUN
flr-13	682	6	in	in	ADP
flr-13	682	7	the	the	DET
flr-13	682	8	21	21	NUM
flr-13	682	9	st	st	PROPN
flr-13	682	10	century	century	NOUN
flr-13	682	11	,	,	PUNCT
flr-13	682	12	17	17	NUM
flr-13	682	13	,	,	PUNCT
flr-13	682	14	134	134	NUM
flr-13	682	15	-	-	SYM
flr-13	682	16	151	151	NUM
flr-13	682	17	.	.	PUNCT
flr-13	683	1	musso	musso	PROPN
flr-13	683	2	,	,	PUNCT
flr-13	683	3	m.	m.	PROPN
flr-13	683	4	f.	f.	PROPN
flr-13	683	5	,	,	PUNCT
flr-13	683	6	&	&	CCONJ
flr-13	683	7	cascallar	cascallar	PROPN
flr-13	683	8	,	,	PUNCT
flr-13	683	9	e.	e.	PROPN
flr-13	683	10	c.	c.	PROPN
flr-13	683	11	(	(	PUNCT
flr-13	683	12	2009b).predictive	2009b).predictive	ADJ
flr-13	683	13	systems	system	NOUN
flr-13	683	14	using	use	VERB
flr-13	683	15	artificial	artificial	ADJ
flr-13	683	16	neural	neural	ADJ
flr-13	683	17	networks	network	NOUN
flr-13	683	18	:	:	PUNCT
flr-13	683	19	an	an	DET
flr-13	683	20	introduction	introduction	NOUN
flr-13	683	21	to	to	ADP
flr-13	683	22	concepts	concept	NOUN
flr-13	683	23	and	and	CCONJ
flr-13	683	24	applications	application	NOUN
flr-13	683	25	in	in	ADP
flr-13	683	26	education	education	NOUN
flr-13	683	27	and	and	CCONJ
flr-13	683	28	social	social	ADJ
flr-13	683	29	sciences	science	NOUN
flr-13	683	30	.	.	PUNCT
flr-13	684	1	in	in	ADP
flr-13	684	2	m.	m.	PROPN
flr-13	684	3	c.	c.	PROPN
flr-13	684	4	richaud	richaud	PROPN
flr-13	684	5	&	&	CCONJ
flr-13	684	6	j.	j.	PROPN
flr-13	684	7	e.	e.	PROPN
flr-13	684	8	moreno	moreno	PROPN
flr-13	684	9	(	(	PUNCT
flr-13	684	10	eds.).research	eds.).research	NOUN
flr-13	684	11	in	in	ADP
flr-13	684	12	behavioural	behavioural	ADJ
flr-13	684	13	sciences	science	NOUN
flr-13	684	14	(	(	PUNCT
flr-13	684	15	volume	volume	NOUN
flr-13	684	16	i	i	PROPN
flr-13	684	17	)	)	PUNCT
flr-13	684	18	,	,	PUNCT
flr-13	684	19	(	(	PUNCT
flr-13	684	20	pp	pp	X
flr-13	684	21	.	.	PUNCT
flr-13	685	1	433	433	NUM
flr-13	685	2	-	-	NUM
flr-13	685	3	459	459	NUM
flr-13	685	4	)	)	PUNCT
flr-13	685	5	.	.	PUNCT
flr-13	686	1	argentina	argentina	PROPN
flr-13	686	2	:	:	PUNCT
flr-13	686	3	ciipme	ciipme	NOUN
flr-13	686	4	/	/	SYM
flr-13	686	5	conicet	conicet	PROPN
flr-13	686	6	.	.	PUNCT
flr-13	686	7	musso	musso	PROPN
flr-13	686	8	,	,	PUNCT
flr-13	686	9	m.	m.	PROPN
flr-13	686	10	f.	f.	PROPN
flr-13	686	11	,	,	PUNCT
flr-13	686	12	kyndt	kyndt	PROPN
flr-13	686	13	,	,	PUNCT
flr-13	686	14	e.	e.	PROPN
flr-13	686	15	,	,	PUNCT
flr-13	686	16	cascallar	cascallar	PROPN
flr-13	686	17	,	,	PUNCT
flr-13	686	18	e.	e.	PROPN
flr-13	686	19	c.	c.	PROPN
flr-13	686	20	,	,	PUNCT
flr-13	686	21	&	&	CCONJ
flr-13	686	22	dochy	dochy	PROPN
flr-13	686	23	,	,	PUNCT
flr-13	686	24	f.	f.	PROPN
flr-13	686	25	(	(	PUNCT
flr-13	686	26	2012	2012	NUM
flr-13	686	27	)	)	PUNCT
flr-13	686	28	.	.	PUNCT
flr-13	687	1	predicting	predict	VERB
flr-13	687	2	mathematical	mathematical	ADJ
flr-13	687	3	performance	performance	NOUN
flr-13	687	4	:	:	PUNCT
flr-13	687	5	the	the	DET
flr-13	687	6	effect	effect	NOUN
flr-13	687	7	of	of	ADP
flr-13	687	8	cognitive	cognitive	ADJ
flr-13	687	9	processes	process	NOUN
flr-13	687	10	and	and	CCONJ
flr-13	687	11	self	self	NOUN
flr-13	687	12	-	-	PUNCT
flr-13	687	13	regulation	regulation	NOUN
flr-13	687	14	factors	factor	NOUN
flr-13	687	15	.	.	PUNCT
flr-13	688	1	education	education	NOUN
flr-13	688	2	research	research	PROPN
flr-13	688	3	international.vol	international.vol	PROPN
flr-13	688	4	.	.	PROPN
flr-13	688	5	12	12	NUM
flr-13	688	6	.	.	PUNCT
flr-13	689	1	nasr	nasr	PROPN
flr-13	689	2	,	,	PUNCT
flr-13	689	3	g.	g.	PROPN
flr-13	689	4	e.	e.	PROPN
flr-13	689	5	,	,	PUNCT
flr-13	689	6	badr	badr	PROPN
flr-13	689	7	,	,	PUNCT
flr-13	689	8	e.	e.	PROPN
flr-13	689	9	a.	a.	PROPN
flr-13	689	10	,	,	PUNCT
flr-13	689	11	&	&	CCONJ
flr-13	689	12	joun	joun	PROPN
flr-13	689	13	,	,	PUNCT
flr-13	689	14	c.	c.	PROPN
flr-13	689	15	(	(	PUNCT
flr-13	689	16	2002	2002	NUM
flr-13	689	17	)	)	PUNCT
flr-13	689	18	.	.	PUNCT
flr-13	690	1	cross	cross	PROPN
flr-13	690	2	entropy	entropy	PROPN
flr-13	690	3	error	error	NOUN
flr-13	690	4	function	function	NOUN
flr-13	690	5	in	in	ADP
flr-13	690	6	neural	neural	ADJ
flr-13	690	7	networks	network	NOUN
flr-13	690	8	:	:	PUNCT
flr-13	690	9	forecasting	forecast	VERB
flr-13	690	10	gasoline	gasoline	NOUN
flr-13	690	11	demand	demand	NOUN
flr-13	690	12	.	.	PUNCT
flr-13	691	1	flairs-02	flairs-02	ADJ
flr-13	691	2	proceedings	proceeding	NOUN
flr-13	691	3	of	of	ADP
flr-13	691	4	the	the	DET
flr-13	691	5	aaai	aaai	PROPN
flr-13	691	6	.	.	PROPN
flr-13	691	7	retrieved	retrieve	VERB
flr-13	691	8	from	from	ADP
flr-13	691	9	http://www.aaai.org/papers/flairs/2002/flairs02-075.pdf	http://www.aaai.org/papers/flairs/2002/flairs02-075.pdf	PROPN
flr-13	691	10	navas	navas	PROPN
flr-13	691	11	,	,	PUNCT
flr-13	691	12	l.	l.	PROPN
flr-13	691	13	,	,	PUNCT
flr-13	691	14	sampascual	sampascual	PROPN
flr-13	691	15	,	,	PUNCT
flr-13	691	16	g.	g.	PROPN
flr-13	691	17	,	,	PUNCT
flr-13	691	18	&	&	CCONJ
flr-13	691	19	santed	sante	VERB
flr-13	691	20	,	,	PUNCT
flr-13	691	21	m.	m.	NOUN
flr-13	691	22	a.	a.	NOUN
flr-13	691	23	(	(	PUNCT
flr-13	691	24	2003	2003	NUM
flr-13	691	25	)	)	PUNCT
flr-13	691	26	.	.	PUNCT
flr-13	692	1	predicción	predicción	PROPN
flr-13	692	2	de	de	PROPN
flr-13	692	3	las	las	PROPN
flr-13	692	4	calificaciones	calificaciones	PROPN
flr-13	692	5	de	de	PROPN
flr-13	692	6	los	los	PROPN
flr-13	692	7	estudiantes	estudiantes	PROPN
flr-13	692	8	:	:	PUNCT
flr-13	692	9	la	la	PROPN
flr-13	692	10	capacidad	capacidad	PROPN
flr-13	692	11	explicativa	explicativa	PROPN
flr-13	692	12	de	de	X
flr-13	692	13	la	la	X
flr-13	692	14	inteligencia	inteligencia	PROPN
flr-13	692	15	general	general	PROPN
flr-13	692	16	y	y	PROPN
flr-13	692	17	de	de	PROPN
flr-13	692	18	la	la	PROPN
flr-13	692	19	motivación	motivación	PROPN
flr-13	692	20	.	.	PUNCT
flr-13	693	1	[	[	X
flr-13	693	2	prediction	prediction	NOUN
flr-13	693	3	of	of	ADP
flr-13	693	4	students‟	students‟	PRON
flr-13	693	5	performance	performance	NOUN
flr-13	693	6	scores	score	NOUN
flr-13	693	7	:	:	PUNCT
flr-13	693	8	the	the	DET
flr-13	693	9	role	role	NOUN
flr-13	693	10	of	of	ADP
flr-13	693	11	the	the	DET
flr-13	693	12	general	general	ADJ
flr-13	693	13	intelligence	intelligence	NOUN
flr-13	693	14	and	and	CCONJ
flr-13	693	15	motivation	motivation	NOUN
flr-13	693	16	.	.	PUNCT
flr-13	694	1	journal	journal	NOUN
flr-13	694	2	of	of	ADP
flr-13	694	3	general	general	ADJ
flr-13	694	4	and	and	CCONJ
flr-13	694	5	applied	applied	ADJ
flr-13	694	6	psychology	psychology	NOUN
flr-13	694	7	]	]	X
flr-13	694	8	,	,	PUNCT
flr-13	694	9	56(2	56(2	ADJ
flr-13	694	10	)	)	PUNCT
flr-13	694	11	,	,	PUNCT
flr-13	694	12	225	225	NUM
flr-13	694	13	-	-	SYM
flr-13	694	14	237	237	NUM
flr-13	694	15	.	.	PUNCT
flr-13	695	1	neal	neal	PROPN
flr-13	695	2	,	,	PUNCT
flr-13	695	3	w.	w.	PROPN
flr-13	695	4	,	,	PUNCT
flr-13	695	5	&	&	CCONJ
flr-13	695	6	wurst	wurst	PROPN
flr-13	695	7	,	,	PUNCT
flr-13	695	8	j.	j.	PROPN
flr-13	695	9	(	(	PUNCT
flr-13	695	10	2001	2001	NUM
flr-13	695	11	)	)	PUNCT
flr-13	695	12	.	.	PUNCT
flr-13	696	1	advances	advance	NOUN
flr-13	696	2	in	in	ADP
flr-13	696	3	market	market	NOUN
flr-13	696	4	segmentation	segmentation	NOUN
flr-13	696	5	.	.	PUNCT
flr-13	697	1	marketing	marketing	NOUN
flr-13	697	2	research	research	NOUN
flr-13	697	3	,	,	PUNCT
flr-13	697	4	13(1	13(1	NUM
flr-13	697	5	)	)	PUNCT
flr-13	697	6	,	,	PUNCT
flr-13	697	7	14	14	NUM
flr-13	697	8	-	-	SYM
flr-13	697	9	18	18	NUM
flr-13	697	10	.	.	PUNCT
flr-13	698	1	passolunghi	passolunghi	PROPN
flr-13	698	2	,	,	PUNCT
flr-13	698	3	m.	m.	PROPN
flr-13	698	4	c.	c.	PROPN
flr-13	698	5	,	,	PUNCT
flr-13	698	6	&	&	CCONJ
flr-13	698	7	pazzaglia	pazzaglia	PROPN
flr-13	698	8	,	,	PUNCT
flr-13	698	9	f.	f.	PROPN
flr-13	698	10	(	(	PUNCT
flr-13	698	11	2004	2004	NUM
flr-13	698	12	)	)	PUNCT
flr-13	698	13	.	.	PUNCT
flr-13	699	1	individual	individual	ADJ
flr-13	699	2	differences	difference	NOUN
flr-13	699	3	in	in	ADP
flr-13	699	4	memory	memory	NOUN
flr-13	699	5	updating	updating	NOUN
flr-13	699	6	in	in	ADP
flr-13	699	7	relation	relation	NOUN
flr-13	699	8	to	to	ADP
flr-13	699	9	arithmetic	arithmetic	ADJ
flr-13	699	10	problem	problem	NOUN
flr-13	699	11	solving	solve	VERB
flr-13	699	12	.	.	PUNCT
flr-13	700	1	learning	learning	NOUN
flr-13	700	2	and	and	CCONJ
flr-13	700	3	individual	individual	ADJ
flr-13	700	4	differences	difference	NOUN
flr-13	700	5	14(4	14(4	NOUN
flr-13	700	6	)	)	PUNCT
flr-13	700	7	,	,	PUNCT
flr-13	700	8	219	219	NUM
flr-13	700	9	-	-	SYM
flr-13	700	10	230	230	NUM
flr-13	700	11	.	.	PUNCT
flr-13	701	1	perkins	perkins	PROPN
flr-13	701	2	,	,	PUNCT
flr-13	701	3	k.	k.	PROPN
flr-13	701	4	,	,	PUNCT
flr-13	701	5	gupta	gupta	PROPN
flr-13	701	6	,	,	PUNCT
flr-13	701	7	l.	l.	PROPN
flr-13	701	8	&	&	CCONJ
flr-13	701	9	tammana	tammana	PROPN
flr-13	701	10	(	(	PUNCT
flr-13	701	11	1995	1995	NUM
flr-13	701	12	)	)	PUNCT
flr-13	701	13	.	.	PUNCT
flr-13	702	1	predict	predict	VERB
flr-13	702	2	item	item	NOUN
flr-13	702	3	difficulty	difficulty	NOUN
flr-13	702	4	in	in	ADP
flr-13	702	5	a	a	DET
flr-13	702	6	reading	reading	NOUN
flr-13	702	7	comprehension	comprehension	NOUN
flr-13	702	8	test	test	NOUN
flr-13	702	9	with	with	ADP
flr-13	702	10	an	an	DET
flr-13	702	11	artificial	artificial	ADJ
flr-13	702	12	neural	neural	ADJ
flr-13	702	13	network	network	NOUN
flr-13	702	14	.	.	PUNCT
flr-13	703	1	language	language	NOUN
flr-13	703	2	testing	testing	NOUN
flr-13	703	3	,	,	PUNCT
flr-13	703	4	12(1	12(1	NUM
flr-13	703	5	)	)	PUNCT
flr-13	703	6	,	,	PUNCT
flr-13	703	7	34	34	NUM
flr-13	703	8	-	-	SYM
flr-13	703	9	53	53	NUM
flr-13	703	10	.	.	PUNCT
flr-13	704	1	pickering	pickering	PROPN
flr-13	704	2	,	,	PUNCT
flr-13	704	3	s.	s.	PROPN
flr-13	704	4	j.	j.	PROPN
flr-13	704	5	(	(	PUNCT
flr-13	704	6	2006	2006	NUM
flr-13	704	7	)	)	PUNCT
flr-13	704	8	.	.	PUNCT
flr-13	705	1	working	work	VERB
flr-13	705	2	memory	memory	NOUN
flr-13	705	3	and	and	CCONJ
flr-13	705	4	education	education	NOUN
flr-13	705	5	.	.	PUNCT
flr-13	706	1	usa	usa	NOUN
flr-13	706	2	:	:	PUNCT
flr-13	706	3	academic	academic	ADJ
flr-13	706	4	press	press	NOUN
flr-13	706	5	.	.	PUNCT
flr-13	707	1	pinninghoff	pinninghoff	PROPN
flr-13	707	2	junemann	junemann	PROPN
flr-13	707	3	,	,	PUNCT
flr-13	707	4	m.	m.	NOUN
flr-13	707	5	a.	a.	PROPN
flr-13	707	6	,	,	PUNCT
flr-13	707	7	salcedo	salcedo	PROPN
flr-13	707	8	lagos	lagos	PROPN
flr-13	707	9	,	,	PUNCT
flr-13	707	10	p.	p.	NOUN
flr-13	707	11	a.	a.	NOUN
flr-13	707	12	,	,	PUNCT
flr-13	707	13	&	&	CCONJ
flr-13	707	14	contreras	contreras	PROPN
flr-13	707	15	arriagada	arriagada	PROPN
flr-13	707	16	,	,	PUNCT
flr-13	707	17	r.	r.	PROPN
flr-13	707	18	(	(	PUNCT
flr-13	707	19	2007).neural	2007).neural	NUM
flr-13	707	20	networks	network	NOUN
flr-13	707	21	to	to	PART
flr-13	707	22	predict	predict	VERB
flr-13	707	23	schooling	schooling	NOUN
flr-13	707	24	failure	failure	NOUN
flr-13	707	25	/	/	SYM
flr-13	707	26	success	success	NOUN
flr-13	707	27	.	.	PUNCT
flr-13	708	1	in	in	ADP
flr-13	708	2	j.	j.	PROPN
flr-13	708	3	mira	mira	PROPN
flr-13	708	4	&	&	CCONJ
flr-13	708	5	j.r	j.r	PROPN
flr-13	708	6	.	.	PROPN
flr-13	708	7	´	´	PROPN
flr-13	708	8	alvarez	alvarez	PROPN
flr-13	708	9	(	(	PUNCT
flr-13	708	10	eds	eds	PROPN
flr-13	708	11	.	.	PUNCT
flr-13	708	12	)	)	PUNCT
flr-13	708	13	,	,	PUNCT
flr-13	708	14	iwinac	iwinac	ADJ
flr-13	708	15	2007	2007	NUM
flr-13	708	16	,	,	PUNCT
flr-13	708	17	part	part	PROPN
flr-13	708	18	ii	ii	PROPN
flr-13	708	19	,	,	PUNCT
flr-13	708	20	lncs	lnc	VERB
flr-13	708	21	4528(pp	4528(pp	NUM
flr-13	708	22	.	.	PUNCT
flr-13	709	1	571–579	571–579	NUM
flr-13	709	2	)	)	PUNCT
flr-13	709	3	.	.	PUNCT
flr-13	710	1	berlin	berlin	PROPN
flr-13	710	2	/	/	SYM
flr-13	710	3	heidelberg	heidelberg	PROPN
flr-13	710	4	:	:	PUNCT
flr-13	710	5	springer	springer	NOUN
flr-13	710	6	-	-	PUNCT
flr-13	710	7	verlag	verlag	PROPN
flr-13	710	8	.	.	PUNCT
flr-13	711	1	pintrich	pintrich	PROPN
flr-13	711	2	,	,	PUNCT
flr-13	711	3	p.	p.	PROPN
flr-13	711	4	r.	r.	PROPN
flr-13	711	5	(	(	PUNCT
flr-13	711	6	2000	2000	NUM
flr-13	711	7	)	)	PUNCT
flr-13	711	8	.	.	PUNCT
flr-13	712	1	the	the	DET
flr-13	712	2	role	role	NOUN
flr-13	712	3	of	of	ADP
flr-13	712	4	goal	goal	NOUN
flr-13	712	5	orientation	orientation	NOUN
flr-13	712	6	in	in	ADP
flr-13	712	7	self	self	NOUN
flr-13	712	8	-	-	PUNCT
flr-13	712	9	regulated	regulate	VERB
flr-13	712	10	learning	learning	NOUN
flr-13	712	11	.	.	PUNCT
flr-13	713	1	in	in	ADP
flr-13	713	2	m.	m.	PROPN
flr-13	713	3	boekaerts	boekaerts	PROPN
flr-13	713	4	,	,	PUNCT
flr-13	713	5	p.r	p.r	PROPN
flr-13	713	6	.	.	PROPN
flr-13	713	7	pintrich	pintrich	PROPN
flr-13	713	8	,	,	PUNCT
flr-13	713	9	&	&	CCONJ
flr-13	713	10	m.	m.	PROPN
flr-13	713	11	zeidner	zeidner	PROPN
flr-13	713	12	(	(	PUNCT
flr-13	713	13	eds	ed	NOUN
flr-13	713	14	.	.	PUNCT
flr-13	713	15	)	)	PUNCT
flr-13	713	16	,	,	PUNCT
flr-13	713	17	handbook	handbook	NOUN
flr-13	713	18	of	of	ADP
flr-13	713	19	self	self	NOUN
flr-13	713	20	-	-	PUNCT
flr-13	713	21	regulation	regulation	NOUN
flr-13	713	22	(	(	PUNCT
flr-13	713	23	pp	pp	ADJ
flr-13	713	24	.	.	PUNCT
flr-13	713	25	452–502	452–502	NUM
flr-13	713	26	)	)	PUNCT
flr-13	713	27	.	.	PUNCT
flr-13	714	1	san	san	PROPN
flr-13	714	2	diego	diego	PROPN
flr-13	714	3	,	,	PUNCT
flr-13	714	4	ca	ca	NOUN
flr-13	714	5	:	:	PUNCT
flr-13	714	6	academic	academic	ADJ
flr-13	714	7	press	press	NOUN
flr-13	714	8	.	.	PUNCT
flr-13	715	1	m.	m.	PROPN
flr-13	715	2	f.	f.	PROPN
flr-13	715	3	musso	musso	PROPN
flr-13	715	4	et	et	PROPN
flr-13	715	5	al	al	PROPN
flr-13	715	6	.	.	PROPN
flr-13	715	7	70	70	NUM
flr-13	716	1	|	|	CCONJ
flr-13	716	2	f	f	NOUN
flr-13	716	3	l	l	NOUN
flr-13	716	4	r	r	NOUN
flr-13	716	5	posner	posner	NOUN
flr-13	716	6	,	,	PUNCT
flr-13	716	7	m.	m.	NOUN
flr-13	716	8	i.	i.	PROPN
flr-13	716	9	(	(	PUNCT
flr-13	716	10	1980	1980	NUM
flr-13	716	11	)	)	PUNCT
flr-13	716	12	.	.	PUNCT
flr-13	717	1	orienting	orient	VERB
flr-13	717	2	of	of	ADP
flr-13	717	3	attention	attention	NOUN
flr-13	717	4	.	.	PUNCT
flr-13	718	1	quarterly	quarterly	ADJ
flr-13	718	2	journal	journal	NOUN
flr-13	718	3	of	of	ADP
flr-13	718	4	experimental	experimental	ADJ
flr-13	718	5	psychology	psychology	NOUN
flr-13	718	6	,	,	PUNCT
flr-13	718	7	41a	41a	NOUN
flr-13	718	8	,	,	PUNCT
flr-13	718	9	19	19	NUM
flr-13	718	10	-	-	SYM
flr-13	718	11	45	45	NUM
flr-13	718	12	.	.	PUNCT
flr-13	719	1	posner	posner	NOUN
flr-13	719	2	,	,	PUNCT
flr-13	719	3	m.	m.	NOUN
flr-13	719	4	i.	i.	PROPN
flr-13	719	5	,	,	PUNCT
flr-13	719	6	&	&	CCONJ
flr-13	719	7	petersen	petersen	PROPN
flr-13	719	8	,	,	PUNCT
flr-13	719	9	s.	s.	PROPN
flr-13	719	10	e.	e.	PROPN
flr-13	719	11	(	(	PUNCT
flr-13	719	12	1990	1990	NUM
flr-13	719	13	)	)	PUNCT
flr-13	719	14	.	.	PUNCT
flr-13	720	1	the	the	DET
flr-13	720	2	attention	attention	NOUN
flr-13	720	3	system	system	NOUN
flr-13	720	4	of	of	ADP
flr-13	720	5	the	the	DET
flr-13	720	6	human	human	ADJ
flr-13	720	7	brain	brain	NOUN
flr-13	720	8	.	.	PUNCT
flr-13	721	1	annual	annual	ADJ
flr-13	721	2	review	review	NOUN
flr-13	721	3	neuroscience	neuroscience	NOUN
flr-13	721	4	.	.	PUNCT
flr-13	722	1	13	13	NUM
flr-13	722	2	,	,	PUNCT
flr-13	722	3	25	25	NUM
flr-13	722	4	-	-	SYM
flr-13	722	5	42	42	NUM
flr-13	722	6	.	.	PUNCT
flr-13	723	1	posner	posner	NOUN
flr-13	723	2	,	,	PUNCT
flr-13	723	3	m.	m.	NOUN
flr-13	723	4	i.	i.	PROPN
flr-13	723	5	,	,	PUNCT
flr-13	723	6	&	&	CCONJ
flr-13	723	7	rothbart	rothbart	PROPN
flr-13	723	8	,	,	PUNCT
flr-13	723	9	m.	m.	PROPN
flr-13	723	10	k.	k.	PROPN
flr-13	723	11	(	(	PUNCT
flr-13	723	12	1998	1998	NUM
flr-13	723	13	)	)	PUNCT
flr-13	723	14	.	.	PUNCT
flr-13	724	1	attention	attention	NOUN
flr-13	724	2	,	,	PUNCT
flr-13	724	3	self	self	NOUN
flr-13	724	4	-	-	PUNCT
flr-13	724	5	regulation	regulation	NOUN
flr-13	724	6	and	and	CCONJ
flr-13	724	7	consciousness	consciousness	NOUN
flr-13	724	8	.	.	PUNCT
flr-13	725	1	philosophical	philosophical	ADJ
flr-13	725	2	transactions	transaction	NOUN
flr-13	725	3	of	of	ADP
flr-13	725	4	the	the	DET
flr-13	725	5	royal	royal	ADJ
flr-13	725	6	society	society	NOUN
flr-13	725	7	of	of	ADP
flr-13	725	8	london	london	PROPN
flr-13	725	9	.	.	PUNCT
flr-13	726	1	series	series	PROPN
flr-13	726	2	b	b	PROPN
flr-13	726	3	,	,	PUNCT
flr-13	726	4	biological	biological	ADJ
flr-13	726	5	sciences	science	NOUN
flr-13	726	6	,	,	PUNCT
flr-13	726	7	353	353	NUM
flr-13	726	8	,	,	PUNCT
flr-13	726	9	1915–1927	1915–1927	NUM
flr-13	726	10	.	.	PUNCT
flr-13	727	1	ramaswami	ramaswami	NOUN
flr-13	727	2	,	,	PUNCT
flr-13	727	3	m.	m.	NOUN
flr-13	727	4	m.	m.	NOUN
flr-13	727	5	,	,	PUNCT
flr-13	727	6	&	&	CCONJ
flr-13	727	7	bhaskaran	bhaskaran	PROPN
flr-13	727	8	,	,	PUNCT
flr-13	727	9	r.	r.	PROPN
flr-13	727	10	r.	r.	PROPN
flr-13	727	11	(	(	PUNCT
flr-13	727	12	2010	2010	NUM
flr-13	727	13	)	)	PUNCT
flr-13	727	14	.	.	PUNCT
flr-13	728	1	a	a	DET
flr-13	728	2	chaid	chaid	NOUN
flr-13	728	3	based	base	VERB
flr-13	728	4	performance	performance	NOUN
flr-13	728	5	prediction	prediction	NOUN
flr-13	728	6	model	model	NOUN
flr-13	728	7	in	in	ADP
flr-13	728	8	educational	educational	ADJ
flr-13	728	9	data	datum	NOUN
flr-13	728	10	mining	mining	NOUN
flr-13	728	11	.	.	PUNCT
flr-13	729	1	international	international	ADJ
flr-13	729	2	journal	journal	PROPN
flr-13	729	3	of	of	ADP
flr-13	729	4	computer	computer	NOUN
flr-13	729	5	science	science	NOUN
flr-13	729	6	issues	issue	NOUN
flr-13	729	7	,	,	PUNCT
flr-13	729	8	7(1	7(1	NUM
flr-13	729	9	)	)	PUNCT
flr-13	729	10	,	,	PUNCT
flr-13	729	11	10	10	NUM
flr-13	729	12	-	-	SYM
flr-13	729	13	18	18	NUM
flr-13	729	14	.	.	PUNCT
flr-13	730	1	redick	redick	NOUN
flr-13	730	2	,	,	PUNCT
flr-13	730	3	t.	t.	PROPN
flr-13	730	4	s.	s.	PROPN
flr-13	730	5	,	,	PUNCT
flr-13	730	6	&	&	CCONJ
flr-13	730	7	engle	engle	PROPN
flr-13	730	8	,	,	PUNCT
flr-13	730	9	r.w	r.w	PROPN
flr-13	730	10	.	.	PROPN
flr-13	731	1	(	(	PUNCT
flr-13	731	2	2006).working	2006).worke	VERB
flr-13	731	3	memory	memory	NOUN
flr-13	731	4	capacity	capacity	NOUN
flr-13	731	5	and	and	CCONJ
flr-13	731	6	attention	attention	NOUN
flr-13	731	7	network	network	NOUN
flr-13	731	8	test	test	NOUN
flr-13	731	9	performance	performance	NOUN
flr-13	731	10	.	.	PUNCT
flr-13	732	1	applied	apply	VERB
flr-13	732	2	cognitive	cognitive	ADJ
flr-13	732	3	psychology	psychology	NOUN
flr-13	732	4	,	,	PUNCT
flr-13	732	5	20	20	NUM
flr-13	732	6	,	,	PUNCT
flr-13	732	7	713	713	NUM
flr-13	732	8	-	-	SYM
flr-13	732	9	721	721	NUM
flr-13	732	10	.	.	PUNCT
flr-13	733	1	reid	reid	PROPN
flr-13	733	2	,	,	PUNCT
flr-13	733	3	r.	r.	PROPN
flr-13	733	4	(	(	PUNCT
flr-13	733	5	2006	2006	NUM
flr-13	733	6	)	)	PUNCT
flr-13	733	7	.	.	PUNCT
flr-13	734	1	self	self	NOUN
flr-13	734	2	-	-	PUNCT
flr-13	734	3	regulated	regulate	VERB
flr-13	734	4	strategy	strategy	NOUN
flr-13	734	5	development	development	NOUN
flr-13	734	6	for	for	ADP
flr-13	734	7	written	write	VERB
flr-13	734	8	expression	expression	NOUN
flr-13	734	9	with	with	ADP
flr-13	734	10	students	student	NOUN
flr-13	734	11	with	with	ADP
flr-13	734	12	attention	attention	NOUN
flr-13	734	13	deficit/	deficit/	NUM
flr-13	734	14	hyperactivity	hyperactivity	NOUN
flr-13	734	15	disorder	disorder	NOUN
flr-13	734	16	.	.	PUNCT
flr-13	735	1	exceptional	exceptional	ADJ
flr-13	735	2	children	child	NOUN
flr-13	735	3	,	,	PUNCT
flr-13	735	4	73(1	73(1	NUM
flr-13	735	5	)	)	PUNCT
flr-13	735	6	,	,	PUNCT
flr-13	735	7	53	53	NUM
flr-13	735	8	-	-	SYM
flr-13	735	9	67	67	NUM
flr-13	735	10	.	.	PUNCT
flr-13	736	1	riccio	riccio	PROPN
flr-13	736	2	,	,	PUNCT
flr-13	736	3	c.	c.	PROPN
flr-13	736	4	a.	a.	PROPN
flr-13	736	5	,	,	PUNCT
flr-13	736	6	lee	lee	PROPN
flr-13	736	7	,	,	PUNCT
flr-13	736	8	d.	d.	PROPN
flr-13	736	9	,	,	PUNCT
flr-13	736	10	romine	romine	PROPN
flr-13	736	11	,	,	PUNCT
flr-13	736	12	c.	c.	PROPN
flr-13	736	13	cash	cash	NOUN
flr-13	736	14	,	,	PUNCT
flr-13	736	15	d.	d.	PROPN
flr-13	736	16	,	,	PUNCT
flr-13	736	17	&	&	CCONJ
flr-13	736	18	davis	davis	PROPN
flr-13	736	19	,	,	PUNCT
flr-13	736	20	b.	b.	PROPN
flr-13	736	21	(	(	PUNCT
flr-13	736	22	2002).relation	2002).relation	NUM
flr-13	736	23	of	of	ADP
flr-13	736	24	memory	memory	NOUN
flr-13	736	25	and	and	CCONJ
flr-13	736	26	attention	attention	NOUN
flr-13	736	27	to	to	ADP
flr-13	736	28	academic	academic	ADJ
flr-13	736	29	achievement	achievement	NOUN
flr-13	736	30	in	in	ADP
flr-13	736	31	adults	adult	NOUN
flr-13	736	32	.	.	PUNCT
flr-13	737	1	archives	archive	NOUN
flr-13	737	2	of	of	ADP
flr-13	737	3	clinical	clinical	ADJ
flr-13	737	4	neuropsychology	neuropsychology	NOUN
flr-13	737	5	,	,	PUNCT
flr-13	737	6	18(7	18(7	NUM
flr-13	737	7	)	)	PUNCT
flr-13	737	8	,	,	PUNCT
flr-13	737	9	755	755	NUM
flr-13	737	10	-	-	SYM
flr-13	737	11	756	756	NUM
flr-13	737	12	.	.	PUNCT
flr-13	738	1	riding	ride	VERB
flr-13	738	2	,	,	PUNCT
flr-13	738	3	r.	r.	PROPN
flr-13	738	4	j.	j.	PROPN
flr-13	738	5	,	,	PUNCT
flr-13	738	6	grimley	grimley	PROPN
flr-13	738	7	,	,	PUNCT
flr-13	738	8	m.	m.	NOUN
flr-13	738	9	,	,	PUNCT
flr-13	738	10	dahraei	dahraei	NOUN
flr-13	738	11	,	,	PUNCT
flr-13	738	12	h.	h.	PROPN
flr-13	738	13	,	,	PUNCT
flr-13	738	14	&	&	CCONJ
flr-13	738	15	banner	banner	NOUN
flr-13	738	16	,	,	PUNCT
flr-13	738	17	g.	g.	PROPN
flr-13	738	18	(	(	PUNCT
flr-13	738	19	2003).cognitive	2003).cognitive	NUM
flr-13	738	20	style	style	NOUN
flr-13	738	21	,	,	PUNCT
flr-13	738	22	working	working	NOUN
flr-13	738	23	memory	memory	NOUN
flr-13	738	24	and	and	CCONJ
flr-13	738	25	learning	learn	VERB
flr-13	738	26	behaviour	behaviour	NOUN
flr-13	738	27	and	and	CCONJ
flr-13	738	28	attainment	attainment	NOUN
flr-13	738	29	in	in	ADP
flr-13	738	30	school	school	NOUN
flr-13	738	31	subjects	subject	NOUN
flr-13	738	32	.	.	PUNCT
flr-13	739	1	british	british	ADJ
flr-13	739	2	journal	journal	PROPN
flr-13	739	3	of	of	ADP
flr-13	739	4	educational	educational	ADJ
flr-13	739	5	psychology	psychology	NOUN
flr-13	739	6	,	,	PUNCT
flr-13	739	7	73	73	NUM
flr-13	739	8	,	,	PUNCT
flr-13	739	9	749	749	NUM
flr-13	739	10	-	-	SYM
flr-13	739	11	769	769	NUM
flr-13	739	12	.	.	PUNCT
flr-13	740	1	roth	roth	PROPN
flr-13	740	2	,	,	PUNCT
flr-13	740	3	p.	p.	PROPN
flr-13	740	4	l.	l.	PROPN
flr-13	740	5	,	,	PUNCT
flr-13	740	6	be	be	AUX
flr-13	740	7	vier	vier	ADJ
flr-13	740	8	,	,	PUNCT
flr-13	740	9	c.	c.	PROPN
flr-13	740	10	a.	a.	PROPN
flr-13	740	11	,	,	PUNCT
flr-13	740	12	switzer	switzer	PROPN
flr-13	740	13	,	,	PUNCT
flr-13	740	14	f.	f.	PROPN
flr-13	740	15	s.	s.	PROPN
flr-13	740	16	,	,	PUNCT
flr-13	740	17	&	&	CCONJ
flr-13	740	18	schippmann	schippmann	PROPN
flr-13	740	19	,	,	PUNCT
flr-13	740	20	j.	j.	PROPN
flr-13	740	21	s.	s.	PROPN
flr-13	740	22	(	(	PUNCT
flr-13	740	23	1996	1996	NUM
flr-13	740	24	)	)	PUNCT
flr-13	740	25	.	.	PUNCT
flr-13	741	1	meta	meta	VERB
flr-13	741	2	-	-	PUNCT
flr-13	741	3	analyzing	analyze	VERB
flr-13	741	4	the	the	DET
flr-13	741	5	relationship	relationship	NOUN
flr-13	741	6	between	between	ADP
flr-13	741	7	grades	grade	NOUN
flr-13	741	8	and	and	CCONJ
flr-13	741	9	job	job	NOUN
flr-13	741	10	performance	performance	NOUN
flr-13	741	11	.	.	PUNCT
flr-13	742	1	journal	journal	NOUN
flr-13	742	2	of	of	ADP
flr-13	742	3	applied	apply	VERB
flr-13	742	4	psychology	psychology	NOUN
flr-13	742	5	,	,	PUNCT
flr-13	742	6	81	81	NUM
flr-13	742	7	,	,	PUNCT
flr-13	742	8	548	548	NUM
flr-13	742	9	-	-	SYM
flr-13	742	10	556	556	NUM
flr-13	742	11	.	.	PUNCT
flr-13	743	1	roth	roth	PROPN
flr-13	743	2	,	,	PUNCT
flr-13	743	3	p.	p.	PROPN
flr-13	743	4	l.	l.	PROPN
flr-13	743	5	,	,	PUNCT
flr-13	743	6	&	&	CCONJ
flr-13	743	7	clarke	clarke	PROPN
flr-13	743	8	,	,	PUNCT
flr-13	743	9	r.	r.	PROPN
flr-13	743	10	l.	l.	PROPN
flr-13	743	11	(	(	PUNCT
flr-13	743	12	1998	1998	NUM
flr-13	743	13	)	)	PUNCT
flr-13	743	14	.	.	PUNCT
flr-13	744	1	meta	meta	VERB
flr-13	744	2	-	-	PUNCT
flr-13	744	3	analyzing	analyze	VERB
flr-13	744	4	the	the	DET
flr-13	744	5	relation	relation	NOUN
flr-13	744	6	between	between	ADP
flr-13	744	7	grades	grade	NOUN
flr-13	744	8	and	and	CCONJ
flr-13	744	9	salary	salary	NOUN
flr-13	744	10	.	.	PUNCT
flr-13	745	1	journal	journal	PROPN
flr-13	745	2	of	of	ADP
flr-13	745	3	vocational	vocational	ADJ
flr-13	745	4	behavior	behavior	NOUN
flr-13	745	5	,	,	PUNCT
flr-13	745	6	53	53	NUM
flr-13	745	7	,	,	PUNCT
flr-13	745	8	386	386	NUM
flr-13	745	9	-	-	SYM
flr-13	745	10	400	400	NUM
flr-13	745	11	.	.	PUNCT
flr-13	746	1	ruban	ruban	PROPN
flr-13	746	2	,	,	PUNCT
flr-13	746	3	l.	l.	PROPN
flr-13	746	4	m.	m.	PROPN
flr-13	746	5	,	,	PUNCT
flr-13	746	6	&	&	CCONJ
flr-13	746	7	mccoach	mccoach	PROPN
flr-13	746	8	,	,	PUNCT
flr-13	746	9	d.	d.	PROPN
flr-13	746	10	b.	b.	PROPN
flr-13	746	11	(	(	PUNCT
flr-13	746	12	2005	2005	NUM
flr-13	746	13	)	)	PUNCT
flr-13	746	14	.	.	PUNCT
flr-13	747	1	gender	gender	NOUN
flr-13	747	2	differences	difference	NOUN
flr-13	747	3	in	in	ADP
flr-13	747	4	explaining	explain	VERB
flr-13	747	5	grades	grade	NOUN
flr-13	747	6	using	use	VERB
flr-13	747	7	structural	structural	ADJ
flr-13	747	8	equation	equation	NOUN
flr-13	747	9	modeling	modeling	NOUN
flr-13	747	10	.	.	PUNCT
flr-13	748	1	the	the	DET
flr-13	748	2	review	review	NOUN
flr-13	748	3	of	of	ADP
flr-13	748	4	higher	high	ADJ
flr-13	748	5	education	education	NOUN
flr-13	748	6	,	,	PUNCT
flr-13	748	7	28	28	NUM
flr-13	748	8	,	,	PUNCT
flr-13	748	9	475	475	NUM
flr-13	748	10	-	-	SYM
flr-13	748	11	502	502	NUM
flr-13	748	12	.	.	PUNCT
flr-13	749	1	rueda	rueda	PROPN
flr-13	749	2	,	,	PUNCT
flr-13	749	3	m.	m.	PROPN
flr-13	749	4	r.	r.	PROPN
flr-13	749	5	,	,	PUNCT
flr-13	749	6	posner	posner	NOUN
flr-13	749	7	,	,	PUNCT
flr-13	749	8	m.	m.	NOUN
flr-13	749	9	i.	i.	PROPN
flr-13	749	10	,	,	PUNCT
flr-13	749	11	&	&	CCONJ
flr-13	749	12	rothbart	rothbart	PROPN
flr-13	749	13	,	,	PUNCT
flr-13	749	14	m.	m.	PROPN
flr-13	749	15	k.	k.	PROPN
flr-13	749	16	(	(	PUNCT
flr-13	749	17	2004	2004	NUM
flr-13	749	18	)	)	PUNCT
flr-13	749	19	.	.	PUNCT
flr-13	750	1	attentional	attentional	ADJ
flr-13	750	2	control	control	NOUN
flr-13	750	3	and	and	CCONJ
flr-13	750	4	self	self	NOUN
flr-13	750	5	regulation	regulation	NOUN
flr-13	750	6	.	.	PUNCT
flr-13	751	1	in	in	ADP
flr-13	751	2	r.f	r.f	PROPN
flr-13	751	3	.	.	PROPN
flr-13	751	4	baumeister	baumeister	PROPN
flr-13	751	5	&	&	CCONJ
flr-13	751	6	k.d	k.d	PROPN
flr-13	751	7	.	.	PROPN
flr-13	751	8	vohs	vohs	PROPN
flr-13	751	9	(	(	PUNCT
flr-13	751	10	eds	ed	NOUN
flr-13	751	11	)	)	PUNCT
flr-13	751	12	,	,	PUNCT
flr-13	751	13	handbook	handbook	NOUN
flr-13	751	14	of	of	ADP
flr-13	751	15	self	self	NOUN
flr-13	751	16	regulation	regulation	NOUN
flr-13	751	17	:	:	PUNCT
flr-13	751	18	research	research	NOUN
flr-13	751	19	,	,	PUNCT
flr-13	751	20	theory	theory	NOUN
flr-13	751	21	,	,	PUNCT
flr-13	751	22	and	and	CCONJ
flr-13	751	23	applications	application	NOUN
flr-13	751	24	,	,	PUNCT
flr-13	751	25	new	new	PROPN
flr-13	751	26	york	york	PROPN
flr-13	751	27	:	:	PUNCT
flr-13	751	28	guilford	guilford	PROPN
flr-13	751	29	press	press	PROPN
flr-13	751	30	,	,	PUNCT
flr-13	751	31	14	14	NUM
flr-13	751	32	:	:	SYM
flr-13	751	33	283	283	NUM
flr-13	751	34	-	-	SYM
flr-13	751	35	300	300	NUM
flr-13	751	36	.	.	PUNCT
flr-13	752	1	rumelhart	rumelhart	PROPN
flr-13	752	2	,	,	PUNCT
flr-13	752	3	d.	d.	PROPN
flr-13	752	4	,	,	PUNCT
flr-13	752	5	hinton	hinton	PROPN
flr-13	752	6	,	,	PUNCT
flr-13	752	7	g.	g.	PROPN
flr-13	752	8	&	&	CCONJ
flr-13	752	9	williams	williams	PROPN
flr-13	752	10	,	,	PUNCT
flr-13	752	11	r.	r.	PROPN
flr-13	752	12	(	(	PUNCT
flr-13	752	13	1986	1986	NUM
flr-13	752	14	)	)	PUNCT
flr-13	752	15	.	.	PUNCT
flr-13	753	1	learning	learn	VERB
flr-13	753	2	representations	representation	NOUN
flr-13	753	3	by	by	ADP
flr-13	753	4	back	back	ADV
flr-13	753	5	-	-	PUNCT
flr-13	753	6	propagating	propagate	VERB
flr-13	753	7	errors	error	NOUN
flr-13	753	8	.	.	PUNCT
flr-13	754	1	nature	nature	NOUN
flr-13	754	2	,	,	PUNCT
flr-13	754	3	323	323	NUM
flr-13	754	4	,	,	PUNCT
flr-13	754	5	533536	533536	NUM
flr-13	754	6	.	.	PUNCT
flr-13	755	1	rumelhart	rumelhart	PROPN
flr-13	755	2	,	,	PUNCT
flr-13	755	3	d.	d.	PROPN
flr-13	755	4	e.	e.	PROPN
flr-13	755	5	,	,	PUNCT
flr-13	755	6	mcclelland	mcclelland	PROPN
flr-13	755	7	,	,	PUNCT
flr-13	755	8	j.	j.	PROPN
flr-13	755	9	l.	l.	PROPN
flr-13	755	10	,	,	PUNCT
flr-13	755	11	&	&	CCONJ
flr-13	755	12	the	the	DET
flr-13	755	13	pdp	pdp	PROPN
flr-13	755	14	research	research	NOUN
flr-13	755	15	group	group	NOUN
flr-13	755	16	.	.	PUNCT
flr-13	756	1	(	(	PUNCT
flr-13	756	2	1986	1986	NUM
flr-13	756	3	)	)	PUNCT
flr-13	756	4	.	.	PUNCT
flr-13	757	1	parallel	parallel	ADJ
flr-13	757	2	distributed	distribute	VERB
flr-13	757	3	processing	processing	NOUN
flr-13	757	4	:	:	PUNCT
flr-13	757	5	explorations	exploration	NOUN
flr-13	757	6	in	in	ADP
flr-13	757	7	the	the	DET
flr-13	757	8	microstructure	microstructure	NOUN
flr-13	757	9	of	of	ADP
flr-13	757	10	cognition	cognition	NOUN
flr-13	757	11	.	.	PUNCT
flr-13	758	1	volume	volume	NOUN
flr-13	758	2	i.	i.	PROPN
flr-13	758	3	cambridge	cambridge	PROPN
flr-13	758	4	,	,	PUNCT
flr-13	758	5	ma	ma	PROPN
flr-13	758	6	:	:	PUNCT
flr-13	758	7	mit	mit	PROPN
flr-13	758	8	press	press	NOUN
flr-13	758	9	.	.	PUNCT
flr-13	759	1	schmidt	schmidt	PROPN
flr-13	759	2	,	,	PUNCT
flr-13	759	3	f.	f.	PROPN
flr-13	759	4	l.	l.	PROPN
flr-13	759	5	(	(	PUNCT
flr-13	759	6	2002	2002	NUM
flr-13	759	7	)	)	PUNCT
flr-13	759	8	.	.	PUNCT
flr-13	760	1	the	the	DET
flr-13	760	2	role	role	NOUN
flr-13	760	3	of	of	ADP
flr-13	760	4	general	general	ADJ
flr-13	760	5	cognitive	cognitive	ADJ
flr-13	760	6	ability	ability	NOUN
flr-13	760	7	and	and	CCONJ
flr-13	760	8	job	job	NOUN
flr-13	760	9	performance	performance	NOUN
flr-13	760	10	:	:	PUNCT
flr-13	760	11	why	why	SCONJ
flr-13	760	12	there	there	PRON
flr-13	760	13	can	can	AUX
flr-13	760	14	not	not	PART
flr-13	760	15	be	be	AUX
flr-13	760	16	a	a	DET
flr-13	760	17	debate	debate	NOUN
flr-13	760	18	.	.	PUNCT
flr-13	761	1	human	human	ADJ
flr-13	761	2	performance	performance	NOUN
flr-13	761	3	,	,	PUNCT
flr-13	761	4	15	15	NUM
flr-13	761	5	,	,	PUNCT
flr-13	761	6	187–210	187–210	NUM
flr-13	761	7	.	.	PUNCT
flr-13	762	1	segers	seger	NOUN
flr-13	762	2	,	,	PUNCT
flr-13	762	3	m.	m.	NOUN
flr-13	762	4	,	,	PUNCT
flr-13	762	5	dochy	dochy	NOUN
flr-13	762	6	,	,	PUNCT
flr-13	762	7	f.	f.	PROPN
flr-13	762	8	,	,	PUNCT
flr-13	762	9	&	&	CCONJ
flr-13	762	10	cascallar	cascallar	PROPN
flr-13	762	11	,	,	PUNCT
flr-13	762	12	e.	e.	PROPN
flr-13	762	13	(	(	PUNCT
flr-13	762	14	2003).optimizing	2003).optimize	VERB
flr-13	762	15	new	new	ADJ
flr-13	762	16	modes	mode	NOUN
flr-13	762	17	of	of	ADP
flr-13	762	18	assessment	assessment	NOUN
flr-13	762	19	:	:	PUNCT
flr-13	762	20	in	in	ADP
flr-13	762	21	search	search	NOUN
flr-13	762	22	of	of	ADP
flr-13	762	23	qualities	quality	NOUN
flr-13	762	24	and	and	CCONJ
flr-13	762	25	standards.the	standards.the	DET
flr-13	762	26	netherlands	netherlands	PROPN
flr-13	762	27	:	:	PUNCT
flr-13	762	28	kluwer	kluwer	NOUN
flr-13	762	29	academic	academic	ADJ
flr-13	762	30	publishers	publisher	NOUN
flr-13	762	31	.	.	PUNCT
flr-13	763	1	simons	simon	NOUN
flr-13	763	2	,	,	PUNCT
flr-13	763	3	j.	j.	PROPN
flr-13	763	4	,	,	PUNCT
flr-13	763	5	dewitte	dewitte	NOUN
flr-13	763	6	,	,	PUNCT
flr-13	763	7	s.	s.	PROPN
flr-13	763	8	,	,	PUNCT
flr-13	763	9	&	&	CCONJ
flr-13	763	10	lens	lens	PROPN
flr-13	763	11	,	,	PUNCT
flr-13	763	12	w.	w.	PROPN
flr-13	763	13	(	(	PUNCT
flr-13	763	14	2004	2004	NUM
flr-13	763	15	)	)	PUNCT
flr-13	763	16	.	.	PUNCT
flr-13	764	1	the	the	DET
flr-13	764	2	role	role	NOUN
flr-13	764	3	of	of	ADP
flr-13	764	4	different	different	ADJ
flr-13	764	5	types	type	NOUN
flr-13	764	6	of	of	ADP
flr-13	764	7	instrumentality	instrumentality	NOUN
flr-13	764	8	in	in	ADP
flr-13	764	9	motivation	motivation	NOUN
flr-13	764	10	,	,	PUNCT
flr-13	764	11	study	study	NOUN
flr-13	764	12	strategies	strategy	NOUN
flr-13	764	13	,	,	PUNCT
flr-13	764	14	and	and	CCONJ
flr-13	764	15	performance	performance	NOUN
flr-13	764	16	:	:	PUNCT
flr-13	764	17	know	know	VERB
flr-13	764	18	why	why	SCONJ
flr-13	764	19	you	you	PRON
flr-13	764	20	learn	learn	VERB
flr-13	764	21	,	,	PUNCT
flr-13	764	22	so	so	SCONJ
flr-13	764	23	you	you	PRON
flr-13	764	24	'll	will	AUX
flr-13	764	25	know	know	VERB
flr-13	764	26	what	what	PRON
flr-13	764	27	you	you	PRON
flr-13	764	28	learn	learn	VERB
flr-13	764	29	!	!	PUNCT
flr-13	765	1	british	british	ADJ
flr-13	765	2	journal	journal	PROPN
flr-13	765	3	of	of	ADP
flr-13	765	4	educational	educational	ADJ
flr-13	765	5	psychology	psychology	NOUN
flr-13	765	6	,	,	PUNCT
flr-13	765	7	74	74	NUM
flr-13	765	8	,	,	PUNCT
flr-13	765	9	343	343	NUM
flr-13	765	10	-	-	SYM
flr-13	765	11	360	360	NUM
flr-13	765	12	.	.	PUNCT
flr-13	765	13	snyderman	snyderman	PROPN
flr-13	765	14	,	,	PUNCT
flr-13	765	15	m.	m.	NOUN
flr-13	765	16	,	,	PUNCT
flr-13	765	17	&	&	CCONJ
flr-13	765	18	rothman	rothman	PROPN
flr-13	765	19	,	,	PUNCT
flr-13	765	20	s.	s.	PROPN
flr-13	765	21	(	(	PUNCT
flr-13	765	22	1987	1987	NUM
flr-13	765	23	)	)	PUNCT
flr-13	765	24	.	.	PUNCT
flr-13	766	1	survey	survey	NOUN
flr-13	766	2	of	of	ADP
flr-13	766	3	expert	expert	ADJ
flr-13	766	4	opinion	opinion	NOUN
flr-13	766	5	on	on	ADP
flr-13	766	6	intelligence	intelligence	NOUN
flr-13	766	7	and	and	CCONJ
flr-13	766	8	aptitude	aptitude	NOUN
flr-13	766	9	testing	testing	NOUN
flr-13	766	10	.	.	PUNCT
flr-13	767	1	american	american	ADJ
flr-13	767	2	psychologist	psychologist	PROPN
flr-13	767	3	,	,	PUNCT
flr-13	767	4	42(2	42(2	PROPN
flr-13	767	5	)	)	PUNCT
flr-13	767	6	,	,	PUNCT
flr-13	767	7	137	137	NUM
flr-13	767	8	-	-	SYM
flr-13	767	9	144	144	NUM
flr-13	767	10	specht	specht	PROPN
flr-13	767	11	,	,	PUNCT
flr-13	767	12	d.	d.	PROPN
flr-13	767	13	(	(	PUNCT
flr-13	767	14	1991	1991	NUM
flr-13	767	15	)	)	PUNCT
flr-13	767	16	.	.	PUNCT
flr-13	768	1	a	a	DET
flr-13	768	2	general	general	ADJ
flr-13	768	3	regression	regression	NOUN
flr-13	768	4	neural	neural	ADJ
flr-13	768	5	network	network	NOUN
flr-13	768	6	.	.	PUNCT
flr-13	769	1	ieee	ieee	NOUN
flr-13	769	2	transactions	transaction	NOUN
flr-13	769	3	on	on	ADP
flr-13	769	4	neural	neural	ADJ
flr-13	769	5	networks	network	NOUN
flr-13	769	6	,	,	PUNCT
flr-13	769	7	2(6	2(6	NUM
flr-13	769	8	)	)	PUNCT
flr-13	769	9	,	,	PUNCT
flr-13	769	10	568576	568576	NUM
flr-13	769	11	.	.	PUNCT
flr-13	770	1	st	st	PROPN
flr-13	770	2	clair	clair	PROPN
flr-13	770	3	-	-	PUNCT
flr-13	770	4	thompson	thompson	PROPN
flr-13	770	5	,	,	PUNCT
flr-13	770	6	h.	h.	PROPN
flr-13	770	7	l.	l.	PROPN
flr-13	770	8	,	,	PUNCT
flr-13	770	9	&	&	CCONJ
flr-13	770	10	gathercole	gathercole	PROPN
flr-13	770	11	,	,	PUNCT
flr-13	770	12	s.	s.	PROPN
flr-13	770	13	e.	e.	PROPN
flr-13	770	14	(	(	PUNCT
flr-13	770	15	2006	2006	NUM
flr-13	770	16	)	)	PUNCT
flr-13	770	17	.	.	PUNCT
flr-13	771	1	executive	executive	ADJ
flr-13	771	2	functions	function	NOUN
flr-13	771	3	and	and	CCONJ
flr-13	771	4	achievements	achievement	NOUN
flr-13	771	5	in	in	ADP
flr-13	771	6	school	school	NOUN
flr-13	771	7	:	:	PUNCT
flr-13	771	8	shifting	shift	VERB
flr-13	771	9	,	,	PUNCT
flr-13	771	10	updating	updating	NOUN
flr-13	771	11	,	,	PUNCT
flr-13	771	12	inhibition	inhibition	NOUN
flr-13	771	13	,	,	PUNCT
flr-13	771	14	and	and	CCONJ
flr-13	771	15	working	working	NOUN
flr-13	771	16	memory	memory	NOUN
flr-13	771	17	.	.	PUNCT
flr-13	772	1	the	the	DET
flr-13	772	2	quarterly	quarterly	ADJ
flr-13	772	3	journal	journal	NOUN
flr-13	772	4	of	of	ADP
flr-13	772	5	experimental	experimental	ADJ
flr-13	772	6	psychology	psychology	NOUN
flr-13	772	7	,	,	PUNCT
flr-13	772	8	59(4	59(4	NUM
flr-13	772	9	)	)	PUNCT
flr-13	772	10	,	,	PUNCT
flr-13	772	11	745	745	NUM
flr-13	772	12	-	-	SYM
flr-13	772	13	759	759	NUM
flr-13	772	14	.	.	PUNCT
flr-13	773	1	strucchi	strucchi	PROPN
flr-13	773	2	,	,	PUNCT
flr-13	773	3	e.	e.	PROPN
flr-13	773	4	(	(	PUNCT
flr-13	773	5	1991	1991	NUM
flr-13	773	6	)	)	PUNCT
flr-13	773	7	.	.	PUNCT
flr-13	774	1	inventario	inventario	PROPN
flr-13	774	2	de	de	PROPN
flr-13	774	3	estrategias	estrategias	PROPN
flr-13	774	4	de	de	PROPN
flr-13	774	5	aprendizaje	aprendizaje	PROPN
flr-13	774	6	y	y	PROPN
flr-13	774	7	de	de	PROPN
flr-13	774	8	estudio	estudio	PROPN
flr-13	774	9	.	.	PUNCT
flr-13	775	1	[	[	X
flr-13	775	2	learning	learn	VERB
flr-13	775	3	strategies	strategy	NOUN
flr-13	775	4	inventory	inventory	NOUN
flr-13	775	5	and	and	CCONJ
flr-13	775	6	study	study	NOUN
flr-13	775	7	]	]	PUNCT
flr-13	775	8	.	.	PUNCT
flr-13	776	1	buenos	buenos	PROPN
flr-13	776	2	aires	aires	PROPN
flr-13	776	3	:	:	PUNCT
flr-13	776	4	psicoteca	psicoteca	PROPN
flr-13	776	5	.	.	PUNCT
flr-13	777	1	turner	turner	PROPN
flr-13	777	2	,	,	PUNCT
flr-13	777	3	e.	e.	PROPN
flr-13	777	4	a.	a.	PROPN
flr-13	777	5	,	,	PUNCT
flr-13	777	6	chandler	chandler	NOUN
flr-13	777	7	,	,	PUNCT
flr-13	777	8	m.	m.	NOUN
flr-13	777	9	,	,	PUNCT
flr-13	777	10	&	&	CCONJ
flr-13	777	11	heffer	heffer	PROPN
flr-13	777	12	,	,	PUNCT
flr-13	777	13	r.	r.	PROPN
flr-13	777	14	w.	w.	PROPN
flr-13	777	15	(	(	PUNCT
flr-13	777	16	2009	2009	NUM
flr-13	777	17	)	)	PUNCT
flr-13	777	18	.	.	PUNCT
flr-13	778	1	influence	influence	NOUN
flr-13	778	2	of	of	ADP
flr-13	778	3	parenting	parenting	NOUN
flr-13	778	4	styles	style	NOUN
flr-13	778	5	,	,	PUNCT
flr-13	778	6	achievement	achievement	NOUN
flr-13	778	7	motivation	motivation	NOUN
flr-13	778	8	,	,	PUNCT
flr-13	778	9	and	and	CCONJ
flr-13	778	10	self	self	NOUN
flr-13	778	11	-	-	PUNCT
flr-13	778	12	efficacy	efficacy	NOUN
flr-13	778	13	on	on	ADP
flr-13	778	14	academic	academic	ADJ
flr-13	778	15	performance	performance	NOUN
flr-13	778	16	in	in	ADP
flr-13	778	17	college	college	NOUN
flr-13	778	18	students	student	NOUN
flr-13	778	19	.	.	PUNCT
flr-13	779	1	journal	journal	PROPN
flr-13	779	2	of	of	ADP
flr-13	779	3	college	college	NOUN
flr-13	779	4	student	student	NOUN
flr-13	779	5	development	development	NOUN
flr-13	779	6	,	,	PUNCT
flr-13	779	7	50	50	NUM
flr-13	779	8	,	,	PUNCT
flr-13	779	9	3	3	NUM
flr-13	779	10	,	,	PUNCT
flr-13	779	11	337	337	NUM
flr-13	779	12	-	-	SYM
flr-13	779	13	346	346	NUM
flr-13	779	14	.	.	PUNCT
flr-13	780	1	unsworth	unsworth	NOUN
flr-13	780	2	,	,	PUNCT
flr-13	780	3	n.	n.	PROPN
flr-13	780	4	,	,	PUNCT
flr-13	780	5	heitz	heitz	PROPN
flr-13	780	6	,	,	PUNCT
flr-13	780	7	r.	r.	PROPN
flr-13	780	8	p.	p.	PROPN
flr-13	780	9	,	,	PUNCT
flr-13	780	10	schrock	schrock	PROPN
flr-13	780	11	,	,	PUNCT
flr-13	780	12	j.	j.	PROPN
flr-13	780	13	c.	c.	PROPN
flr-13	780	14	,	,	PUNCT
flr-13	780	15	&	&	CCONJ
flr-13	780	16	engle	engle	PROPN
flr-13	780	17	,	,	PUNCT
flr-13	780	18	r.	r.	PROPN
flr-13	780	19	w.	w.	PROPN
flr-13	780	20	(	(	PUNCT
flr-13	780	21	2005	2005	NUM
flr-13	780	22	)	)	PUNCT
flr-13	780	23	.	.	PUNCT
flr-13	781	1	an	an	DET
flr-13	781	2	automated	automate	VERB
flr-13	781	3	version	version	NOUN
flr-13	781	4	of	of	ADP
flr-13	781	5	the	the	DET
flr-13	781	6	operation	operation	NOUN
flr-13	781	7	span	span	PROPN
flr-13	781	8	task	task	PROPN
flr-13	781	9	.	.	PUNCT
flr-13	782	1	behavior	behavior	NOUN
flr-13	782	2	research	research	NOUN
flr-13	782	3	methods	method	NOUN
flr-13	782	4	,	,	PUNCT
flr-13	782	5	37(3	37(3	NUM
flr-13	782	6	)	)	PUNCT
flr-13	782	7	,	,	PUNCT
flr-13	782	8	498	498	NUM
flr-13	782	9	-	-	SYM
flr-13	782	10	505	505	NUM
flr-13	782	11	.	.	PUNCT
flr-13	783	1	vandamme	vandamme	PROPN
flr-13	783	2	,	,	PUNCT
flr-13	783	3	j.	j.	PROPN
flr-13	783	4	p.	p.	PROPN
flr-13	783	5	,	,	PUNCT
flr-13	783	6	meskens	mesken	NOUN
flr-13	783	7	,	,	PUNCT
flr-13	783	8	n.	n.	NOUN
flr-13	783	9	,	,	PUNCT
flr-13	783	10	&	&	CCONJ
flr-13	783	11	superby	superby	PROPN
flr-13	783	12	,	,	PUNCT
flr-13	783	13	j.	j.	PROPN
flr-13	783	14	f.	f.	PROPN
flr-13	783	15	(	(	PUNCT
flr-13	783	16	2007	2007	NUM
flr-13	783	17	)	)	PUNCT
flr-13	783	18	.	.	PUNCT
flr-13	784	1	predicting	predict	VERB
flr-13	784	2	academic	academic	ADJ
flr-13	784	3	performance	performance	NOUN
flr-13	784	4	by	by	ADP
flr-13	784	5	data	datum	NOUN
flr-13	784	6	mining	mining	NOUN
flr-13	784	7	methods.education	methods.education	X
flr-13	784	8	economic	economic	ADJ
flr-13	784	9	,	,	PUNCT
flr-13	784	10	15(4	15(4	NUM
flr-13	784	11	)	)	PUNCT
flr-13	784	12	,	,	PUNCT
flr-13	784	13	405	405	NUM
flr-13	784	14	-	-	SYM
flr-13	784	15	41	41	NUM
flr-13	784	16	.	.	PUNCT
flr-13	785	1	m.	m.	PROPN
flr-13	785	2	f.	f.	PROPN
flr-13	785	3	musso	musso	PROPN
flr-13	785	4	et	et	PROPN
flr-13	785	5	al	al	PROPN
flr-13	785	6	.	.	PROPN
flr-13	786	1	71	71	NUM
flr-13	787	1	|	|	NOUN
flr-13	787	2	f	f	NOUN
flr-13	787	3	l	l	NOUN
flr-13	787	4	r	r	NOUN
flr-13	787	5	walczak	walczak	NOUN
flr-13	787	6	,	,	PUNCT
flr-13	787	7	s.	s.	PROPN
flr-13	787	8	(	(	PUNCT
flr-13	787	9	1994	1994	NUM
flr-13	787	10	)	)	PUNCT
flr-13	787	11	.	.	PUNCT
flr-13	788	1	categorizing	categorize	VERB
flr-13	788	2	university	university	NOUN
flr-13	788	3	student	student	NOUN
flr-13	788	4	applicants	applicant	NOUN
flr-13	788	5	with	with	ADP
flr-13	788	6	neural	neural	ADJ
flr-13	788	7	networks	network	NOUN
flr-13	788	8	.	.	PUNCT
flr-13	789	1	ieee	ieee	PROPN
flr-13	789	2	international	international	PROPN
flr-13	789	3	conference	conference	PROPN
flr-13	789	4	on	on	ADP
flr-13	789	5	neural	neural	ADJ
flr-13	789	6	networks	network	NOUN
flr-13	789	7	,	,	PUNCT
flr-13	789	8	6	6	NUM
flr-13	789	9	,	,	PUNCT
flr-13	789	10	3680	3680	NUM
flr-13	789	11	-	-	SYM
flr-13	789	12	3685	3685	NUM
flr-13	789	13	.	.	PUNCT
flr-13	790	1	weinstein	weinstein	PROPN
flr-13	790	2	,	,	PUNCT
flr-13	790	3	c.	c.	PROPN
flr-13	790	4	e.	e.	PROPN
flr-13	790	5	,	,	PUNCT
flr-13	790	6	&	&	CCONJ
flr-13	790	7	mayer	mayer	PROPN
flr-13	790	8	,	,	PUNCT
flr-13	790	9	r.e	r.e	PROPN
flr-13	790	10	.	.	PROPN
flr-13	790	11	(	(	PUNCT
flr-13	790	12	1986	1986	NUM
flr-13	790	13	)	)	PUNCT
flr-13	790	14	.	.	PUNCT
flr-13	791	1	the	the	DET
flr-13	791	2	teaching	teaching	NOUN
flr-13	791	3	of	of	ADP
flr-13	791	4	learning	learn	VERB
flr-13	791	5	strategies	strategy	NOUN
flr-13	791	6	.	.	PUNCT
flr-13	792	1	in	in	ADP
flr-13	792	2	m.c	m.c	PROPN
flr-13	792	3	.	.	PROPN
flr-13	792	4	wittrock	wittrock	PROPN
flr-13	792	5	(	(	PUNCT
flr-13	792	6	ed	ed	NOUN
flr-13	792	7	.	.	PUNCT
flr-13	792	8	)	)	PUNCT
flr-13	792	9	,	,	PUNCT
flr-13	792	10	handbook	handbook	NOUN
flr-13	792	11	of	of	ADP
flr-13	792	12	research	research	NOUN
flr-13	792	13	on	on	ADP
flr-13	792	14	teaching	teaching	NOUN
flr-13	792	15	(	(	PUNCT
flr-13	792	16	3rd	3rd	ADJ
flr-13	792	17	ed	ed	NOUN
flr-13	792	18	.	.	PUNCT
flr-13	792	19	)	)	PUNCT
flr-13	792	20	.	.	PUNCT
flr-13	793	1	macmillan	macmillan	PROPN
flr-13	793	2	,	,	PUNCT
flr-13	793	3	new	new	PROPN
flr-13	793	4	york	york	PROPN
flr-13	793	5	.	.	PUNCT
flr-13	794	1	weinstein	weinstein	PROPN
flr-13	794	2	,	,	PUNCT
flr-13	794	3	c.	c.	PROPN
flr-13	794	4	e.	e.	PROPN
flr-13	794	5	&	&	CCONJ
flr-13	794	6	palmer	palmer	PROPN
flr-13	794	7	,	,	PUNCT
flr-13	794	8	d.	d.	PROPN
flr-13	794	9	r.	r.	PROPN
flr-13	794	10	(	(	PUNCT
flr-13	794	11	2002	2002	NUM
flr-13	794	12	)	)	PUNCT
flr-13	794	13	.	.	PUNCT
flr-13	795	1	lassi	lassi	NOUN
flr-13	795	2	:	:	PUNCT
flr-13	795	3	user	user	NOUN
flr-13	795	4	’s	’s	PART
flr-13	795	5	manual	manual	NOUN
flr-13	795	6	(	(	PUNCT
flr-13	795	7	2	2	NUM
flr-13	795	8	nd	nd	NUM
flr-13	795	9	edition	edition	NOUN
flr-13	795	10	)	)	PUNCT
flr-13	795	11	.	.	PUNCT
flr-13	796	1	clearwater	clearwater	PROPN
flr-13	796	2	,	,	PUNCT
flr-13	796	3	fl	fl	PROPN
flr-13	796	4	:	:	PUNCT
flr-13	796	5	h&h	h&h	PROPN
flr-13	796	6	publishing	publishing	PROPN
flr-13	796	7	company	company	PROPN
flr-13	796	8	,	,	PUNCT
flr-13	796	9	inc	inc	PROPN
flr-13	796	10	.	.	PROPN
flr-13	796	11	weinstein	weinstein	PROPN
flr-13	796	12	,	,	PUNCT
flr-13	796	13	c.	c.	PROPN
flr-13	796	14	e.	e.	PROPN
flr-13	796	15	,	,	PUNCT
flr-13	796	16	palmer	palmer	PROPN
flr-13	796	17	,	,	PUNCT
flr-13	796	18	d.	d.	PROPN
flr-13	796	19	r.	r.	PROPN
flr-13	796	20	,	,	PUNCT
flr-13	796	21	&	&	CCONJ
flr-13	796	22	schulte	schulte	PROPN
flr-13	796	23	,	,	PUNCT
flr-13	796	24	a.	a.	NOUN
flr-13	796	25	c.	c.	PROPN
flr-13	796	26	(	(	PUNCT
flr-13	796	27	1987).learning	1987).learning	NOUN
flr-13	796	28	and	and	CCONJ
flr-13	796	29	study	study	NOUN
flr-13	796	30	strategies	strategy	NOUN
flr-13	796	31	inventory	inventory	NOUN
flr-13	796	32	.	.	PUNCT
flr-13	797	1	clearwater	clearwater	PROPN
flr-13	797	2	,	,	PUNCT
flr-13	797	3	fl	fl	PROPN
flr-13	797	4	:	:	PUNCT
flr-13	797	5	h	h	PROPN
flr-13	797	6	&	&	CCONJ
flr-13	797	7	h	h	PROPN
flr-13	797	8	publishing	publishing	PROPN
flr-13	797	9	company	company	PROPN
flr-13	797	10	,	,	PUNCT
flr-13	797	11	inc	inc	PROPN
flr-13	797	12	.	.	PROPN
flr-13	797	13	weinstein	weinstein	PROPN
flr-13	797	14	,	,	PUNCT
flr-13	797	15	c.	c.	PROPN
flr-13	797	16	e.	e.	PROPN
flr-13	797	17	,	,	PUNCT
flr-13	797	18	schulte	schulte	PROPN
flr-13	797	19	,	,	PUNCT
flr-13	797	20	a.	a.	NOUN
flr-13	797	21	c	c	PROPN
flr-13	797	22	,	,	PUNCT
flr-13	797	23	&	&	CCONJ
flr-13	797	24	cascallar	cascallar	PROPN
flr-13	797	25	,	,	PUNCT
flr-13	797	26	e.	e.	PROPN
flr-13	797	27	c.	c.	PROPN
flr-13	797	28	(	(	PUNCT
flr-13	797	29	1982	1982	NUM
flr-13	797	30	)	)	PUNCT
flr-13	797	31	.	.	PUNCT
flr-13	798	1	the	the	DET
flr-13	798	2	learning	learning	NOUN
flr-13	798	3	and	and	CCONJ
flr-13	798	4	studies	study	NOUN
flr-13	798	5	strategies	strategy	NOUN
flr-13	798	6	inventory	inventory	NOUN
flr-13	798	7	(	(	PUNCT
flr-13	798	8	lassi	lassi	ADJ
flr-13	798	9	):	):	PUNCT
flr-13	798	10	initial	initial	ADJ
flr-13	798	11	design	design	NOUN
flr-13	798	12	and	and	CCONJ
flr-13	798	13	development	development	NOUN
flr-13	798	14	.	.	PUNCT
flr-13	799	1	technical	technical	ADJ
flr-13	799	2	report	report	PROPN
flr-13	799	3	,	,	PUNCT
flr-13	799	4	us	us	PROPN
flr-13	799	5	army	army	PROPN
flr-13	799	6	research	research	PROPN
flr-13	799	7	institute	institute	PROPN
flr-13	799	8	for	for	ADP
flr-13	799	9	the	the	DET
flr-13	799	10	social	social	ADJ
flr-13	799	11	and	and	CCONJ
flr-13	799	12	behavioural	behavioural	ADJ
flr-13	799	13	sciences	sciences	PROPN
flr-13	799	14	,	,	PUNCT
flr-13	799	15	alexandria	alexandria	PROPN
flr-13	799	16	,	,	PUNCT
flr-13	799	17	va	va	PROPN
flr-13	799	18	.	.	PROPN
flr-13	799	19	weiss	weiss	PROPN
flr-13	799	20	,	,	PUNCT
flr-13	799	21	s.	s.	PROPN
flr-13	799	22	m.	m.	PROPN
flr-13	799	23	&	&	CCONJ
flr-13	799	24	kulikowski	kulikowski	PROPN
flr-13	799	25	,	,	PUNCT
flr-13	799	26	c.	c.	PROPN
flr-13	799	27	a.	a.	PROPN
flr-13	799	28	(	(	PUNCT
flr-13	799	29	1991	1991	NUM
flr-13	799	30	)	)	PUNCT
flr-13	799	31	.	.	PUNCT
flr-13	800	1	computer	computer	NOUN
flr-13	800	2	systems	system	NOUN
flr-13	800	3	that	that	PRON
flr-13	800	4	learn	learn	VERB
flr-13	800	5	.	.	PUNCT
flr-13	801	1	san	san	PROPN
flr-13	801	2	mateo	mateo	PROPN
flr-13	801	3	,	,	PUNCT
flr-13	801	4	ca	ca	PROPN
flr-13	801	5	:	:	PUNCT
flr-13	801	6	morgan	morgan	PROPN
flr-13	801	7	kaufmann	kaufmann	PROPN
flr-13	801	8	publishers	publishers	PROPN
flr-13	801	9	.	.	PUNCT
flr-13	802	1	welsh	welsh	PROPN
flr-13	802	2	,	,	PUNCT
flr-13	802	3	m.c	m.c	PROPN
flr-13	802	4	.	.	PROPN
flr-13	802	5	,	,	PUNCT
flr-13	802	6	satterlee	satterlee	PROPN
flr-13	802	7	-	-	PUNCT
flr-13	802	8	cartmell	cartmell	NOUN
flr-13	802	9	,	,	PUNCT
flr-13	802	10	t.	t.	PROPN
flr-13	802	11	,	,	PUNCT
flr-13	802	12	&	&	CCONJ
flr-13	802	13	stine	stine	PROPN
flr-13	802	14	,	,	PUNCT
flr-13	802	15	m.	m.	NOUN
flr-13	802	16	(	(	PUNCT
flr-13	802	17	1999	1999	NUM
flr-13	802	18	)	)	PUNCT
flr-13	802	19	.	.	PUNCT
flr-13	803	1	towers	tower	NOUN
flr-13	803	2	of	of	ADP
flr-13	803	3	hanoi	hanoi	PROPN
flr-13	803	4	and	and	CCONJ
flr-13	803	5	london	london	PROPN
flr-13	803	6	:	:	PUNCT
flr-13	803	7	contribution	contribution	NOUN
flr-13	803	8	of	of	ADP
flr-13	803	9	working	working	NOUN
flr-13	803	10	memory	memory	NOUN
flr-13	803	11	and	and	CCONJ
flr-13	803	12	inhibition	inhibition	NOUN
flr-13	803	13	to	to	ADP
flr-13	803	14	performance	performance	NOUN
flr-13	803	15	.	.	PUNCT
flr-13	804	1	brain	brain	NOUN
flr-13	804	2	cognition	cognition	NOUN
flr-13	804	3	,	,	PUNCT
flr-13	804	4	41(2	41(2	NUM
flr-13	804	5	)	)	PUNCT
flr-13	804	6	,	,	PUNCT
flr-13	804	7	231	231	NUM
flr-13	804	8	-	-	SYM
flr-13	804	9	242	242	NUM
flr-13	804	10	.	.	PUNCT
flr-13	805	1	white	white	PROPN
flr-13	805	2	,	,	PUNCT
flr-13	805	3	h.	h.	PROPN
flr-13	805	4	&	&	CCONJ
flr-13	805	5	racine	racine	PROPN
flr-13	805	6	,	,	PUNCT
flr-13	805	7	j.	j.	PROPN
flr-13	805	8	(	(	PUNCT
flr-13	805	9	2001	2001	NUM
flr-13	805	10	):	):	PUNCT
flr-13	805	11	statistical	statistical	ADJ
flr-13	805	12	inference	inference	NOUN
flr-13	805	13	,	,	PUNCT
flr-13	805	14	the	the	DET
flr-13	805	15	bootstrap	bootstrap	NOUN
flr-13	805	16	,	,	PUNCT
flr-13	805	17	and	and	CCONJ
flr-13	805	18	neural	neural	ADJ
flr-13	805	19	network	network	NOUN
flr-13	805	20	modelling	modelling	NOUN
flr-13	805	21	with	with	ADP
flr-13	805	22	application	application	NOUN
flr-13	805	23	to	to	ADP
flr-13	805	24	foreign	foreign	ADJ
flr-13	805	25	exchange	exchange	NOUN
flr-13	805	26	rates	rate	NOUN
flr-13	805	27	.	.	PUNCT
flr-13	806	1	ieee	ieee	NOUN
flr-13	806	2	transactions	transaction	NOUN
flr-13	806	3	on	on	ADP
flr-13	806	4	neural	neural	ADJ
flr-13	806	5	networks	network	NOUN
flr-13	806	6	:	:	PUNCT
flr-13	806	7	special	special	ADJ
flr-13	806	8	issue	issue	NOUN
flr-13	806	9	on	on	ADP
flr-13	806	10	neural	neural	ADJ
flr-13	806	11	networks	network	NOUN
flr-13	806	12	in	in	ADP
flr-13	806	13	financial	financial	ADJ
flr-13	806	14	engineering	engineering	NOUN
flr-13	806	15	,	,	PUNCT
flr-13	806	16	12	12	NUM
flr-13	806	17	,	,	PUNCT
flr-13	806	18	657	657	NUM
flr-13	806	19	-	-	SYM
flr-13	806	20	673	673	NUM
flr-13	806	21	.	.	PUNCT
flr-13	807	1	wilson	wilson	PROPN
flr-13	807	2	,	,	PUNCT
flr-13	807	3	r.	r.	PROPN
flr-13	807	4	l.	l.	PROPN
flr-13	807	5	&	&	CCONJ
flr-13	807	6	hardgrave	hardgrave	PROPN
flr-13	807	7	,	,	PUNCT
flr-13	807	8	b.	b.	PROPN
flr-13	807	9	c.	c.	PROPN
flr-13	807	10	(	(	PUNCT
flr-13	807	11	1995	1995	NUM
flr-13	807	12	)	)	PUNCT
flr-13	807	13	.	.	PUNCT
flr-13	808	1	predicting	predict	VERB
flr-13	808	2	graduate	graduate	NOUN
flr-13	808	3	student	student	NOUN
flr-13	808	4	success	success	NOUN
flr-13	808	5	in	in	ADP
flr-13	808	6	a	a	DET
flr-13	808	7	mba	mba	NOUN
flr-13	808	8	program	program	NOUN
flr-13	808	9	:	:	PUNCT
flr-13	808	10	regression	regression	NOUN
flr-13	808	11	vs.	vs.	ADP
flr-13	808	12	classification	classification	NOUN
flr-13	808	13	.	.	PUNCT
flr-13	809	1	educational	educational	ADJ
flr-13	809	2	and	and	CCONJ
flr-13	809	3	psychological	psychological	ADJ
flr-13	809	4	measurement	measurement	NOUN
flr-13	809	5	,	,	PUNCT
flr-13	809	6	55	55	NUM
flr-13	809	7	,	,	PUNCT
flr-13	809	8	186	186	NUM
flr-13	809	9	-	-	SYM
flr-13	809	10	195	195	NUM
flr-13	809	11	.	.	PUNCT
flr-13	809	12	zambrano	zambrano	PROPN
flr-13	809	13	matamala	matamala	PROPN
flr-13	809	14	,	,	PUNCT
flr-13	809	15	c.	c.	PROPN
flr-13	809	16	,	,	PUNCT
flr-13	809	17	rojas	rojas	PROPN
flr-13	809	18	díaz	díaz	PROPN
flr-13	809	19	,	,	PUNCT
flr-13	809	20	d.	d.	PROPN
flr-13	809	21	,	,	PUNCT
flr-13	809	22	carvajal	carvajal	PROPN
flr-13	809	23	cuello	cuello	PROPN
flr-13	809	24	,	,	PUNCT
flr-13	809	25	k.	k.	PROPN
flr-13	809	26	,	,	PUNCT
flr-13	809	27	&	&	CCONJ
flr-13	809	28	acuña	acuña	PROPN
flr-13	809	29	leiva	leiva	PROPN
flr-13	809	30	,	,	PUNCT
flr-13	809	31	g.	g.	PROPN
flr-13	809	32	(	(	PUNCT
flr-13	809	33	2011	2011	NUM
flr-13	809	34	)	)	PUNCT
flr-13	809	35	.	.	PUNCT
flr-13	810	1	análisis	análisis	PROPN
flr-13	810	2	de	de	PROPN
flr-13	810	3	rendimiento	rendimiento	PROPN
flr-13	810	4	académico	académico	PROPN
flr-13	810	5	estudiantil	estudiantil	PROPN
flr-13	810	6	usando	usando	PROPN
flr-13	810	7	data	data	PROPN
flr-13	810	8	warehouse	warehouse	PROPN
flr-13	810	9	y	y	PROPN
flr-13	810	10	redes	redes	PROPN
flr-13	810	11	neuronales	neuronales	PROPN
flr-13	810	12	.	.	PUNCT
flr-13	811	1	[	[	X
flr-13	811	2	analysis	analysis	NOUN
flr-13	811	3	of	of	ADP
flr-13	811	4	students‟	students‟	DET
flr-13	811	5	academic	academic	ADJ
flr-13	811	6	performance	performance	NOUN
flr-13	811	7	using	use	VERB
flr-13	811	8	data	datum	NOUN
flr-13	811	9	warehouse	warehouse	NOUN
flr-13	811	10	and	and	CCONJ
flr-13	811	11	neural	neural	ADJ
flr-13	811	12	networks	network	NOUN
flr-13	811	13	]	]	PUNCT
flr-13	811	14	ingeniare	ingeniare	PROPN
flr-13	811	15	.	.	PUNCT
flr-13	812	1	revista	revista	PROPN
flr-13	812	2	chilena	chilena	PROPN
flr-13	812	3	de	de	PROPN
flr-13	812	4	ingeniería	ingeniería	PROPN
flr-13	812	5	,	,	PUNCT
flr-13	812	6	19(3	19(3	NUM
flr-13	812	7	)	)	PUNCT
flr-13	812	8	,	,	PUNCT
flr-13	812	9	369	369	NUM
flr-13	812	10	-	-	SYM
flr-13	812	11	381	381	NUM
flr-13	812	12	.	.	PUNCT
flr-13	812	13	zeegers	zeeger	NOUN
flr-13	812	14	,	,	PUNCT
flr-13	812	15	p.	p.	NOUN
flr-13	812	16	(	(	PUNCT
flr-13	812	17	2004	2004	NUM
flr-13	812	18	)	)	PUNCT
flr-13	812	19	.	.	PUNCT
flr-13	813	1	student	student	NOUN
flr-13	813	2	learning	learn	VERB
flr-13	813	3	in	in	ADP
flr-13	813	4	higher	high	ADJ
flr-13	813	5	education	education	NOUN
flr-13	813	6	:	:	PUNCT
flr-13	813	7	a	a	DET
flr-13	813	8	path	path	NOUN
flr-13	813	9	analysis	analysis	NOUN
flr-13	813	10	of	of	ADP
flr-13	813	11	academic	academic	ADJ
flr-13	813	12	achievement	achievement	NOUN
flr-13	813	13	in	in	ADP
flr-13	813	14	science	science	NOUN
flr-13	813	15	.	.	PUNCT
flr-13	814	1	higher	high	ADJ
flr-13	814	2	education	education	PROPN
flr-13	814	3	research	research	NOUN
flr-13	814	4	&	&	CCONJ
flr-13	814	5	development	development	PROPN
flr-13	814	6	,	,	PUNCT
flr-13	814	7	23(1	23(1	NUM
flr-13	814	8	)	)	PUNCT
flr-13	814	9	,	,	PUNCT
flr-13	814	10	35	35	NUM
flr-13	814	11	-	-	SYM
flr-13	814	12	56	56	NUM
flr-13	814	13	.	.	PUNCT