Initiatives: Learner Analytics

It is increasingly important that higher education understand what drives both their institutional performance as well as their students' success. Learner analytics is the use of detailed information about learners and their contexts to gain insights into the complex hindrances to student success and make data-driven decisions about how to address them successfully.

UMUC is developing a suite of predictive analytics tools to better identify "at-risk" students and develop optimally effective interventions.

Our Work in Learner Analytics

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July 24, 2014

UMBC participates in Learning Analytics (LA) primarily by focusing on student and faculty use of the Learning Management System (LMS). Since 2007, the University has observed that students earning a final grade of D or F use the LMS 40% less than students earning higher grades. While correlation does not equal causation, UMBC has built a "Check My Activity" (CMA) feedback tool that allows students to compare their own activity against an anonymous summary of course peers earning the same, higher or lower grade for any assignment -- provided the instructor uses the online grade book.

February 11, 2014

As a leader in higher education focused on the unique needs of adult learners, University of Maryland University College (UMUC) has long been a pioneer in the area of learning analytics.