Learning Materials Recommendation Using Personalized Recommender System

Petrovski, Josif and Manevska, Violeta (2015) Learning Materials Recommendation Using Personalized Recommender System. International Journal of Education, Volume 10 December 2015, 10. pp. 9-17. ISSN 1857- 8888

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Abstract

E-learning systems are becoming increasingly popular in educational institutions. The rapid development of e-learning changed the traditional approach to learning and created new challenges for educators and students. Educators have difficulty in choosing the adequate learning materials because of the growing number of materials available on the Internet. Students, on the other hand, have a problem when they have to decide which materials are appropriate for them and their needs. So it would be very useful when an electronic system could propose activities and smart way to select and recommend materials and documents for learning that would improve students' knowledge. A model of this kind of system for recommendations is presented in this paper. This system would help students who attend courses in computer science, to introduce new topics and to upgrade already acquired knowledge. The model is based on a Learning management system combined with the use of recommender system.

Item Type: Article
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions: Faculty of Information and Communication Technologies
Depositing User: Unnamed user with email vladimir.milevski@uklo.edu.mk
Date Deposited: 19 May 2016 11:22
Last Modified: 19 May 2016 11:22
URI: http://eprints.uklo.edu.mk/id/eprint/22

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