Towards an Ontology-based Recommender System for Assessment in a Collaborative Elearning Environment

Asma Hadyaoui, Lilia Cheniti-Belcadhi

2022

Abstract

Personalized recommendations can help learners to overcome the information overload problem, by recommending learning resources according to learners’ preferences and level of knowledge. In this context, we propose a Recommender System for a personalized formative assessment in an online collaborative learning environment based on an assessment ePortfolio. Our proposed Recommender System allows recommending the next assessment activity and the most suitable peer to receive feedback from, and give feedback to, by connecting that learner’s ePortfolio with the ePortfolios of other learners in the same assessment platform. The recommendation process has to meet the learners’ progressions, levels, and preferences stored and managed on the assessment ePortfolio models: the learner model, the pre-test model, the assessment activity model, and the peer-feedback model. For the construction of each one, we proposed a semantic web approach using ontologies and eLearning standards to allow reusability and interoperability of data. Indeed, we used CMI5 specifications for the assessment activity model. IEEE PAPI Learner is used to describe learners and their relationships. To formalize the peer-feedback model and the pre-test model we referred to the IMS/QTI specifications. Our ontology for the assessment ePortfolio is the fundamental layer for our personalized Recommender System.

Paper Citation

in Harvard Style

Hadyaoui A. and Cheniti-Belcadhi L. (2022). Towards an Ontology-based Recommender System for Assessment in a Collaborative Elearning Environment. In Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-613-2, pages 294-301. DOI: 10.5220/0011543500003318

in Bibtex Style

@conference{webist22,
author={Asma Hadyaoui and Lilia Cheniti-Belcadhi},
title={Towards an Ontology-based Recommender System for Assessment in a Collaborative Elearning Environment},
booktitle={Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2022},
pages={294-301},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011543500003318},
isbn={978-989-758-613-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Towards an Ontology-based Recommender System for Assessment in a Collaborative Elearning Environment
SN - 978-989-758-613-2
AU - Hadyaoui A.
AU - Cheniti-Belcadhi L.
PY - 2022
SP - 294
EP - 301
DO - 10.5220/0011543500003318