Designing a Course Recommendation System on Web based on the Students' Course Selection Records
Ko-Kang Chu, Maiga Chang, Yen-Teh Hsia, Chung-Yuan Christian Univ., Taiwan
EdMedia + Innovate Learning, in Honolulu, Hawaii, USA ISBN 978-1-880094-48-8 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
There is a web-based course recommendation system constructed by this paper. A course recommendation system is used to provide students some suggestions when they have trouble in choosing courses. This paper designs the recommendation system based the Prediction Methodology proposed by us previously. The prediction methodology integrates both Data Mining techniques and Graph Theory, which will be still revealed in this paper for readers to get the idea about how can we make appropriate course suggestions for students. Results in this paper are generated by applying both our prediction mechanism and the questionnaire to two classes (class 2001 & 2002) in the past two school years The questionnaire is used for verifying our predicting methodology either useful or not.
Chu, K.K., Chang, M. & Hsia, Y.T. (2003). Designing a Course Recommendation System on Web based on the Students' Course Selection Records. In D. Lassner & C. McNaught (Eds.), Proceedings of ED-MEDIA 2003--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 14-21). Honolulu, Hawaii, USA: Association for the Advancement of Computing in Education (AACE).
© 2003 Association for the Advancement of Computing in Education (AACE)