id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
flr-13	Musso, Mariel F.; Kyndt, Eva; Cascallar, Eduardo C.; Dochy, Filip	Predicting general academic performance and identifying the differential contribution of participating variables using artificial neural networks	2013	30	.pdf	application/pdf	16999	818	45	Other attentional networks seem to be much less discriminating among students who reach certain threshold levels needed for high academic performance. Abstract Many studies have explored the contribution of different factors from diverse theoretical perspectives to the explanation of academic performance.	cache/flr-13.pdf	txt/flr-13.txt