Educational Technology

July 18, 2016

Competency-Based Education and Predictive Analytics: Learning from Transfers

Filed under: Educational Technology — admin @ 12:30 am

by Carlos Rivers and Judith Sebesta, EDUCAUSE Review

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 patterns traditionally 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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