Understanding and Predicting University Degree Completion Using a Machine-Learning Approach.

Degree completion is a complex phenomenon involving large number of variables in complex, non-linear, and poorly understood interactions. We utilized a neural network approach to develop models predicting students that would attain or not their undergraduate degrees, examining the contribution of cognitive processes, coping, learning strategies, and individual background variables.