A Hybrid Deep Learning Model for Early Prediction of Student Academic Performance in Higher Education
Early identification of students who may experience academic difficulty can support timely, targeted intervention in higher education. This study evaluates a hybrid prediction framework that combines a support vector machine (SVM) with a polynomial kernel, a long short-term memory (LSTM) component with two hidden units...