Towards Serendipitous Learning Resource Recommendation

Sahar Sayahi, Leila Ghorbel, Corinne Zayani, Ronan Champagnat

2023

Abstract

Since the outbreak of the pandemic, online learning has become widely applied. Indeed, learners follow Learning Resources (LR) available on different platforms. Therefore, it’s very difficult for learners to choose LR that matches their needs. They may face disorientation and cognitive overload problems. In fact, multiple studies have been conducted on Recommender Systems (RS) in order to provide learners with the best LR that correspond to their needs and complete their training. Unfortunately, these basic RS can lead to an overly restricted set of suggestions and inadvertently place learners in a so-called “filter bubble”. The latter is resolved through serendipitous RS, which suggest to learners surprising LR based on serendipity dimensions such as unexpectedness, novelty and usefulness. In this research paper, we first present our serendipity-oriented recommendation architecture. Then, we enrich our collected educational dataset with the dimensions of serendipity. Finally, we evaluate the real learner’s satisfaction on serendipitous LR’s recommendation.

Paper Citation

in Harvard Style

Sayahi S., Ghorbel L., Zayani C. and Champagnat R. (2023). Towards Serendipitous Learning Resource Recommendation. In Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: EKM, ISBN 978-989-758-641-5, SciTePress, pages 454-462. DOI: 10.5220/0012059800003470

in Bibtex Style

@conference{ekm23,
author={Sahar Sayahi and Leila Ghorbel and Corinne Zayani and Ronan Champagnat},
title={Towards Serendipitous Learning Resource Recommendation},
booktitle={Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: EKM,},
year={2023},
pages={454-462},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012059800003470},
isbn={978-989-758-641-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: EKM,
TI - Towards Serendipitous Learning Resource Recommendation
SN - 978-989-758-641-5
AU - Sayahi S.
AU - Ghorbel L.
AU - Zayani C.
AU - Champagnat R.
PY - 2023
SP - 454
EP - 462
DO - 10.5220/0012059800003470
PB - SciTePress