e-Learning Platform Ranking Method using a Symbolic Approach based on Preference Relations

Soraya Chachoua, Nouredine Tamani, Jamal Malki, Pascal Estraillier

2016

Abstract

e-Learning platforms are of a great help in teaching and learning fields given their ability to improve training activity quality. Subsequently, several e-Learning systems have been developed in many domains. The diversity of such platforms in a single field makes it arduous to select the optimal platform in terms of tools and services that meet users’ requirements. Therefore, we propose in this paper a ranking approach of e-Learning platforms relying on symbolic values, borrowed from the Qualitative Weight and Sum method (QWS) (Stufflebeam, 1994), preference relations and aggregating operators providing a total order among the considered e-Learning platforms.

Paper Citation

in Harvard Style

Chachoua S., Tamani N., Malki J. and Estraillier P. (2016). e-Learning Platform Ranking Method using a Symbolic Approach based on Preference Relations . In Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-179-3, pages 114-122. DOI: 10.5220/0005805501140122

in Bibtex Style

@conference{csedu16,
author={Soraya Chachoua and Nouredine Tamani and Jamal Malki and Pascal Estraillier},
title={e-Learning Platform Ranking Method using a Symbolic Approach based on Preference Relations},
booktitle={Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2016},
pages={114-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005805501140122},
isbn={978-989-758-179-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - e-Learning Platform Ranking Method using a Symbolic Approach based on Preference Relations
SN - 978-989-758-179-3
AU - Chachoua S.
AU - Tamani N.
AU - Malki J.
AU - Estraillier P.
PY - 2016
SP - 114
EP - 122
DO - 10.5220/0005805501140122