Competency-Based Education and Predictive Analytics: Learning from Transfers
August 13, 2016
This post is filed under: Adpative Systems, Analytics, Competency Based Education, Higher Education.
Tagged as: Instructional Systems, Learning Systems
- The competency-based program at Texas A&M University–Commerce has begun to analyze enrollment data to better understand their transfer student population and make predictions regarding future students.
- Transfer students entered the CBE program with an average 87 credits and graduated at rates that broke historically negative persistence patternstraditionally affecting part of the transfer student population.
- Adult learners outpace traditional-age students in pursuing degrees, and enrollment trends strongly suggest that post-traditional students will determine whether colleges reach enrollment targets and fulfill future workforce demands.
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