Detailed Information on Publication Record
2016
Course Enrollment Recommender System
BYDŽOVSKÁ, HanaBasic information
Original name
Course Enrollment Recommender System
Authors
Edition
Raleigh, NC, USA, Proceedings of the 9th International Conference on Educational Data Mining, p. 312-317, 6 pp. 2016
Publisher
International Educational Data Mining Society
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
Organization unit
Faculty of Informatics
Keywords in English
course enrollment recommender system; student performance; prerequisites; university information system
Tags
International impact, Reviewed
Změněno: 10/11/2016 15:30, RNDr. Hana Bydžovská, Ph.D.
Abstract
V originále
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.
Links
| MUNI/A/0945/2015, interní kód MU |
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