Predicting Student Academic Performance in the Virtual Learning Environment Based on Adaptive Weighted Ensemble Learning and Dynamic Error Correction
This study presents an academic performance prediction framework in the virtual learning environment based on adaptive weighted ensemble learning and dynamic error correction. The framework first constructs static and dynamic features of students based on data extracted from the virtual learning environment. Then, extr...