Course Enrollment Recommender System
| Authors | |
|---|---|
| Year of publication | 2016 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 9th International Conference on Educational Data Mining |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | course enrollment recommender system; student performance; prerequisites; university information system |
| Description | One of the main problems faced by university students is to create and manage the semester course plan. In this paper, we present a course enrollment recommender system based on data mining techniques. The system mainly helps with students’ enrollment decisions. More specifically, it provides recommendation of selective and optional courses with respect to students’ skills, knowledge, interests and free time slots in their timetables. The system also warns students against difficult courses and reminds them mandatory study duties. We evaluate the usability of designed methods by analyzing real-world data obtained from the Information System of Masaryk University. |
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