Analysis of Students’ Learning Outcomes using Educational Data Mining Approach
In the academic institution, analysis of students’ academic performance is important as an input in improving the quality of students’ education. This can be done by analyzing students’ academic records stored in the database using educational data mining. This study aims to explore factors that affect students’ performance in their professional courses with prerequisites in a specific program. The prediction of students’ performance was made using classification techniques in data mining. The study was able to identify performing and at-risk students in terms of their academic performance based on the pattern extracted from the dataset. This research will serve as guidelines for the administrators and faculty members for the improvement of their teaching methodologies.
Keywords - Educational Data Mining, Classification, Performance, Prediction