Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs

Shu Li, Yuan Zhao, Longjiang Guo, Meirui Ren, Jin Li, Lichen Zhang, Keqin Li

Abstract: Highlights•Proposes a method to quantify learners’ engagement in enrolled courses.•Construct a neural network model to predict learners’ engagement in unenrolled courses.•Personalized course recommendations using engagement to reduce MOOC dropout rate.•Performed comprehensive evaluation to verify the sensitivity and effectiveness of ENN.