RECMOODLE - AN EDUCATIONAL RECOMMENDER SYSTEM

Dhiego Carvalho, Carlos Tadeu Queiroz de Moraes, Dante Barone, Leandro Krug Wives

2012

Abstract

This paper proposes a recommender system for the Moodle platform that uses Apache Mahout as a recommendation engine. In this system, students receive personalized and adaptive recommendations based on forum discussions and learning materials available in the environment, according to their interactions. The recommendation method developed is based on the Moodle's activity log. In this paper, we compare four different ways to process user's preferences and present recommendations. Three of them exist in the literature, and one is proposed by us. The test set uses data from a real case scenario, i.e., the activity log from a graduation course that is given in our institution. We have found that the proposed approach produced the best set of recommendations.

Paper Citation

in Harvard Style

Carvalho D., Tadeu Queiroz de Moraes C., Barone D. and Krug Wives L. (2012). RECMOODLE - AN EDUCATIONAL RECOMMENDER SYSTEM . In Proceedings of the 4th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-8565-06-8, pages 241-246. DOI: 10.5220/0003939802410246

in Bibtex Style

@conference{csedu12,
author={Dhiego Carvalho and Carlos Tadeu Queiroz de Moraes and Dante Barone and Leandro Krug Wives},
title={RECMOODLE - AN EDUCATIONAL RECOMMENDER SYSTEM},
booktitle={Proceedings of the 4th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2012},
pages={241-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003939802410246},
isbn={978-989-8565-06-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - RECMOODLE - AN EDUCATIONAL RECOMMENDER SYSTEM
SN - 978-989-8565-06-8
AU - Carvalho D.
AU - Tadeu Queiroz de Moraes C.
AU - Barone D.
AU - Krug Wives L.
PY - 2012
SP - 241
EP - 246
DO - 10.5220/0003939802410246