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Title |
Educational Data Mining for Supporting Students' Courses Selection |
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Author |
Thi Yen Tran, Ba Lam To |
| Citation |
Vol. 19 No. 7 pp. 106-110 |
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Abstract |
At the beginning of each semester, students must choose courses in the course list to study. Many students are confused about choosing the most suitable courses. Some students want to choose courses to improve academic achievement and improve grades. Some other students want to choose courses to avoid being academic warning, academic probation, academic suspension or academic dismissal. Academic advisors and students' knowledge also partly support the selection of courses for students. However, this support depends on the experience of the academic advisor and the students' knowledge. This paper aims to build a model to support students’ courses selection using educational data mining. The proposed model is experimented with educational data from Faculty of Civil Engineering, Ho Chi Minh City University of Transport, Vietnam during the period of 2013-2016. Experimental results bring many positive results for supporting courses selection. |
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Keywords |
Educational Data Mining, Apriori, J48, K-Means |
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