Abstract | ||
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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. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-20539-2_34 | ICWL Workshops |
Keywords | Field | DocType |
course tree,course coordinator,reference data,subject information,academic matter,mining data,faculty fit,course tree enactment,optional course,association rule,mining association rule,existing course tree | World Wide Web,Computer science,Knowledge management,Curriculum,Association rule learning | Conference |
Volume | ISSN | Citations |
6537 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 6 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Young-Seok Lee | 1 | 438 | 54.04 |
Jungwon Cho | 2 | 46 | 11.21 |
Seungdo Jeong | 3 | 25 | 8.82 |
Sungjae Han | 4 | 10 | 2.76 |
Byung-Uk Choi | 5 | 50 | 14.62 |