Centre Régional des Métiers de l'Éducation et de la Formation Casablanca-Settat

Balancing early detection and performance in predicting students at risk of dropout on MOOCs using time-series analysis and a hybrid deep learning model

Student engagement functions as the main factor which determines how effective online educational programs will be. For this reason, Massive Open Online Course (MOOC) platforms must identify students who might withdraw the course at specific times to implement timely intervention...