loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mohammed Tadlaoui 1 ; Karim Sehaba 2 and Sébastien George 3

Affiliations: 1 Université de Tlemcen and INSA de Lyon, Algeria ; 2 Université de Lyon, France ; 3 LUNAM Université and Université du Maine, France

ISBN: 978-989-758-108-3

Keyword(s): Recommender Systems, Educational Resources, Social Networks, Social Influence.

Related Ontology Subjects/Areas/Topics: Collaborative Learning ; Computer-Supported Education ; e-Learning ; e-Learning Platforms ; Simulation and Modeling ; Simulation Tools and Platforms ; Social Context and Learning Environments ; Theoretical Bases of e-Learning Environments

Abstract: Recommender systems are able to estimate the interest for a user of a given resource from some information about similar users and resources properties. In our work, we focus on the recommendations of educational resources in the field of Technology Enhanced Learning (TEL) and more specifically the recommendations which are based on social information. Based on the results of research in recommender systems and TEL, we define an approach to recommend learning resources using social information present in social networks. We have developed a formal model for the calculation of similarity between users and the generation of three types of recommendation. We also developed a platform that implements our approach.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.171.45.91

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Tadlaoui, M.; Sehaba, K. and George, S. (2015). Recommendation of Learning Resources based on Social Relations.In Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-108-3, pages 425-432. DOI: 10.5220/0005452304250432

@conference{csedu15,
author={Mohammed Tadlaoui. and Karim Sehaba. and Sébastien George.},
title={Recommendation of Learning Resources based on Social Relations},
booktitle={Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2015},
pages={425-432},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005452304250432},
isbn={978-989-758-108-3},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Recommendation of Learning Resources based on Social Relations
SN - 978-989-758-108-3
AU - Tadlaoui, M.
AU - Sehaba, K.
AU - George, S.
PY - 2015
SP - 425
EP - 432
DO - 10.5220/0005452304250432

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.