Hybrid Recommender Strategy in Learning: An Experimental Investigation

Autor: Filipe Montez Coelho Madeira, Salvador Abreu, Rui Filipe Cerqueira Quaresma
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Social Technologies, Vol 3, Iss 1, Pp 7-24 (2013)
Druh dokumentu: article
ISSN: 2029-7564
DOI: 10.13165/ST-13-3-1-01
Popis: Purpose—finding ways of improving learning in a formal higher education context. Design/methodology/approach—in the proposed model we will consider extending traditional content management systems, giving learners the possibility to add new materials and to rate them, and a hybrid strategy that combines technical recommendations with some profile-based filtering to offer adaptive and suitable sequencing learning content to learners. Findings—the experiment shows that our recommendation techniques are able to reflect the learners’ interests. Research limitations/implications—it’s necessary to demonstrate the contributions of these kinds of solutions to the learners’ success. Practical implications—theoretical and practical framework for future research in the field was developed. Originality/Value—the main contributions are the extended Learning Management System and the hybrid Recommender System, which implements a new proposal to evaluate learners’ similarities. Research type: research paper.
Databáze: Directory of Open Access Journals