Course Enrollment Recommender System
| Autoři | |
|---|---|
| Rok publikování | 2016 |
| Druh | Článek ve sborníku |
| Konference | Proceedings of the 9th International Conference on Educational Data Mining |
| Fakulta / Pracoviště MU | |
| Citace | |
| Obor | Informatika |
| Klíčová slova | course enrollment recommender system; student performance; prerequisites; university information system |
| Popis | 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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