The study is entitled Using Educational Data Mining to Predict Students’ Academic Performance for Applying Early Interventions.

This study aims to predict students' final grades and identify those who may need special attention or are likely to excel early in their academic journey. This proactive approach is intended to reduce dropout rates and enhance educational quality.

Significant predictors of academic success includes Student GPA during the first four semesters.The number of failed courses in the same period. Grades in three core courses: database fundamentals, programming language (1), and computer network fundamentals.

This research highlights the effectiveness of educational data mining techniques in predicting student performance and facilitating early interventions, thereby contributing valuable insights into improving educational outcomes