Publication details

Course Enrollment Recommender System



Year of publication 2016
Type Article in Proceedings
Conference Proceedings of the 9th International Conference on Educational Data Mining
MU Faculty or unit

Faculty of Informatics

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.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info