Mining association rules of optional courses for course coordinator

Authors:
Youngseok Lee;Jungwon Cho;Seungdo Jeong;Sungjae Han;Byung-Uk Choi
Affiliations:
Department of Electronics Computer Engineering, Hanyang University, Seoul, Korea;Department of Computer Education, Jeju National University, Jeju-si, Jeju-do, Korea;Department of Information & Communication Engineering, Hanyang Cyber University, Seoul, Korea;Department of Electronics Computer Engineering, Hanyang University, Seoul, Korea;Department of Electronics Computer Engineering, Hanyang University, Seoul, Korea
Venue:
ICWL'10 Proceedings of the 2010 international conference on New horizons in web-based learning
Year:
2010

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Abstract

In the aspect of the faculty, a course coordinator plays a significant role in managing the curriculum and counseling students on academic matters and fostering their progress in the course. However, the course coordinator cannot afford to advise students on which fields of their faculty fit them and which courses they have to take. We searched for relationships between subjects, using association rules, by mining data about the courses already taken by students, and compared these to existing course trees. And we wish to do so that can utilize to taking a course tree enactment or when revise reference data using subject information that association rule through this research. This information could be used for updating course trees.