Multimodal Predictive Modelling in Education: A Comparative Evaluation of ML, Boosting, DL, and Hybrid Fusion Architectures
The rapid growth of online learning platforms has generated large volumes of educational data that can support student performance prediction. However, existing Machine Learning (ML) and Deep Learning (DL) approaches often face challenges related to generalizability, feature integration, and early identification of at-...