Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining and theory

Wanli Xing, Rui Guo, Eva Petakovic, Sean P. Goggins

Abstract: Highlights•A theory-based method for a computational student performance prediction.•A Genetic Programming model for grade prediction is described and tested.•Model evaluation suggests high success rates for predicting student grades.