24. Courses Enrollment Pattern Analysis

Continuous research and works on the implementation of Apriori algorithm into educational environment proved that Association rule has evolved. This paper analyze enrollment pattern of final semester students from a university and discover interesting knowledge that may help the timetable committee in reducing clash conflict and for future decision making along the gradual process. The factor of clash conflict has been identified based on increasing number group of students whose did not follow the course structure guideline that has been designed for them. By producing prototype that adopts Apriori algorithm, it reveals the strong rules based on the extracted data. It is potential to apply into existing timetable preparation process to added new value in order to increase system performance while reduce number of class clashes. The rules or patterns produced by the prototype will then be compared with the existing course structure to evaluate the similarity and connection between courses.