BiLSTM-Based Deep Learning Model for Early Prediction of Student Academic Failure Risk in Digital and Distance Education
Digital and distance learning platforms generate abundant interaction log data from students. However, leveraging temporal log data for early prediction of academic failure risks remains challenging due to time sensitivity and sequence data processing in remote learning contexts. This study aims to develop a Deep Learn...