Thursday, May 11, 2017

A technology to improve STEM retention? - LAURA ASCIONE, eCampus News

Educational data mining, learning analytics will prove invaluable in helping improve students' course retention. Colorado State University (CSU) and the McGraw-Hill Education Learning Science Research Council will partner on a new academic research project designed to use learning analytics and educational data mining to improve student retention in STEM courses. This new research initiative, announced at SXSWedu, will investigate the use of advanced techniques in learning analytics and educational data mining to reduce the Drop-Fail-Withdraw (DFW) rates in STEM gateway courses. Unsuccessful course completion in these gateway courses is often associated with significantly lower retention and graduation rates. CSU researchers said they are hopeful the data to come from the partnership will inform other courses and faculty insight.

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