Dropout Prediction in MOOCs: Using Deep Learning for Personalized Intervention

This study proposes to use the deep learning algorithm to construct the dropout prediction model and further produce the predicted individual student dropout probability, and comes up with an approach to personalize and prioritize intervention for at-risk students in MOOCs through using individual drop out probabilities.