Students Exam Performance Prediction

Abstract

Predicting student performance is crucial for understanding their progress and intervening effectively. This research aims to identify current student status and forecast future results to enable teachers to provide timely guidance and support. By analyzing dependencies for final examinations, we can recommend suitable courses for upcoming semesters, serving as advisor’s to students. Many students struggle due to a lack of proper guidance and monitoring, as teachers can’t monitor everyone simultaneously. An AI system can assist by identifying which students require specific types of support. Ultimately, the goal is to empower students to avoid predicted poor results through proactive intervention, potentially achieving accuracy rates as high as 94.88%.