Machine Learning-Based Prediction of Student Academic Performance Using Learning Analytics

This study investigates the application of machine learning techniques to predict student academic performance using learning analytics data. The proposed approach analyzes academic, attendance, and engagement-related factors to identify patterns associated with student outcomes. Experimental results demonstrate the potential of machine learning models to support early identification of students who may require additional academic assistance.