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An investigation of course-level factors as predictors of online STEM course outcomes
ARTICLE

, , , Borough of Manhattan Community College at the City University of New York, United States

Computers & Education Volume 77, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

This study analyzed students who took STEM courses online or face-to-face at a large urban community college in the Northeastern U.S. to determine which course-level characteristics most strongly predicted higher rates of dropout or D/F grades in online STEM courses than would be expected in comparable face-to-face courses. While career and elective STEM courses had significantly higher success rates

Citation

Wladis, C., Hachey, A.C. & Conway, K. (2014). An investigation of course-level factors as predictors of online STEM course outcomes. Computers & Education, 77(1), 145-150. Elsevier Ltd. Retrieved November 17, 2019 from .

This record was imported from Computers & Education on January 29, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2014.04.015

Keywords