Adaptive Education System Analysis Using Machine Learning Techniques

Educational Data Mining is the field of study concerned with mining educational data to find out interesting patterns and knowledge in educational organizations to analyse and study educational data for student’s improvement. This study explores multiple factors theoretically assumed to affect students’ performance in Machine Learning education, and finds a qualitative model which best classifies and predicts the students’ performance based on related personal and social factors. A student data from a community college database has been taken and various classification approaches have been performed and a comparative analysis has been done.