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Morsy, Sara; Karypis, George – Journal of Educational Data Mining, 2020
Grade prediction can help students and their advisers select courses and design personalized degree programs based on predicted future course performance. One of the successful approaches for accurately predicting a student's grades in future courses is Cumulative Knowledge-based Regression Models (CKRM). CKRM learns shallow linear models that…
Descriptors: Grade Prediction, Context Effect, Models, Accuracy
Morsy, Sara; Karypis, George – Journal of Educational Data Mining, 2019
In order to help undergraduate students towards successfully completing their degrees, developing tools that can assist students during the course selection process is a significant task in the education domain. The optimal set of courses for each student should include courses that help him/her graduate in a timely fashion and for which he/she is…
Descriptors: Undergraduate Students, Grade Point Average, Course Selection (Students), Prediction