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Authors: Nguyen Ngoc Chan ; Azim Roussanaly and Anne Boyer

Affiliation: Université de Lorraine, France

Keyword(s): Online Education, Learning Resource Recommendation, Searching, PageRank.

Related Ontology Subjects/Areas/Topics: Computer-Supported Education ; Distance and e-Learning in a Global Context ; Distance Education ; e-Learning ; e-Learning Hardware and Software ; Information Technologies Supporting Learning ; Social Context and Learning Environments ; Ubiquitous Learning

Abstract: Searching and recommendation are basic functions that effectively assist learners to approach their favorite learning resources. Several searching and recommendation techniques in the Information Retrieval (IR) domain have been proposed to apply in the Technology Enhanced Learning (TEL) domain. However, few of them pay attention on particular properties of e-learning resources, which potentially improve the quality of searching and recommendation. In this paper, we propose an approach that studies relations between e-learning resources, which is a particular property existing in online educational systems, to support resource searching and recommendation. Concretely, we rank e-learning resources based on their relations by adapting the Google's PageRank algorithm. We integrate this ranking into a text-matching search engine to refine the search results. We also combine it with a content-based recommendation technique to compute the similarity between user profile and e-learning resou rces. Experimental results on a shared dataset showed the efficiency of our approach. (More)

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Paper citation in several formats:
Ngoc Chan, N.; Roussanaly, A. and Boyer, A. (2015). Studying Relations Between E-learning Resources to Improve the Quality of Searching and Recommendation. In Proceedings of the 7th International Conference on Computer Supported Education - CSEDU; ISBN 978-989-758-107-6; ISSN 2184-5026, SciTePress, pages 119-129. DOI: 10.5220/0005454301190129

@conference{csedu15,
author={Nguyen {Ngoc Chan}. and Azim Roussanaly. and Anne Boyer.},
title={Studying Relations Between E-learning Resources to Improve the Quality of Searching and Recommendation},
booktitle={Proceedings of the 7th International Conference on Computer Supported Education - CSEDU},
year={2015},
pages={119-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005454301190129},
isbn={978-989-758-107-6},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Computer Supported Education - CSEDU
TI - Studying Relations Between E-learning Resources to Improve the Quality of Searching and Recommendation
SN - 978-989-758-107-6
IS - 2184-5026
AU - Ngoc Chan, N.
AU - Roussanaly, A.
AU - Boyer, A.
PY - 2015
SP - 119
EP - 129
DO - 10.5220/0005454301190129
PB - SciTePress