XDSVM: A Machine Learning Classification Model for SMART Learning Analytics
This study proposes a hybrid XDSVM framework for multi-class student performance prediction by integrating a Support Vector Machine (SVM) and a compact Deep Neural Network (DNN). Boruta feature selection identifies 20 key predictors from engagement and interaction data, capturing over 70% normalized feature gain. The D...