id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fet-3877	Barber, Sophia; Ibargüen, Sophia; Sharp, Chloe; Teng, Janet; Kim, Daisy; Luu, Richard; Ashcroft, Jared; Chang-Hou, Yu-Chung	Implementation of Asynchronous Educational Modules to Improve Student Understanding of Statistical Analysis in STEM Undergraduate Courses	2021	13	.pdf	application/pdf	4084	221	46	Student Demographics Gender Male 10 Female 20 Other 0 Prefer not to specify 0 Race/ethnicity Asian/Pacific Islander 16 Hispanic/Latino 10 Black/African American 0 White/Caucasian 3 Biracial 1 Other 0 Prefer not to specify 0 2. Methodology Students were given a pre-course survey and statistical analysis assessment for the primary purpose of establishing a baseline of student statistical analysis knowledge in the General Chemistry and Chemical Analysis II course at Pasadena City College. This asynchronous learning format will promote both overall student engagement in STEM courses and student understanding of statistical analysis, thus exhibiting the potential to implement these modules in future undergraduate STEM coursework.	cache/fet-3877.pdf	txt/fet-3877.txt