Fuzzy Ontology-based Algorithm for Recommendation of Learning Strategy in a Ubiquitous Learning System

DOI

10.2991/978-94-6463-654-3_17How to use a DOI?

Keywords

Recommendation Algorithm; Learning Strategy; Fuzzy Ontology; Situation Awareness; Ubiquitous Learning

Abstract

One of the major challenges to the adoption of ubiquitous learning systems is the complexity and time involved in recommending the appropriate learning strategy. Within this context, this paper shows how a fuzzy ontology-based algorithm can recommend an appropriate learning strategy in a ubiquitous learning system. We first explicitly define the learning situation awareness and the educational context. Next, we suggest a fuzzy ontology for learning service representation that enables us to reason and model about partial, ambiguous, and fuzzy knowledge of learning situations. The suggested algorithm employs the many ontology rules to suggest the best learning strategy. The algorithm consists of a sequence of steps, including weighing the identification criteria in accordance with their significance for identifying the learning strategy. Experimentation results are given to show the implications of the fuzzy ontology in the recommendation algorithm for an appropriate learning strategy. The recommendation algorithm provided 55% of high appropriate learning strategies, compared to only 35% for the standard recommendation, showing an enhancement of 20% in high-appropriate strategy recommendation.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Walid Bayounes
AU  - Ines Bayoudh Sâadi
AU  - Haithem Chaabani
PY  - 2025
DA  - 2025/02/24
TI  - Fuzzy Ontology-based Algorithm for Recommendation of Learning Strategy in a Ubiquitous Learning System
BT  - Proceedings of the  International Conference on Decision Aid and Artificial Intelligence (ICODAI 2024)
PB  - Atlantis Press
SP  - 215
EP  - 227
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-654-3_17
DO  - 10.2991/978-94-6463-654-3_17
ID  - Bayounes2025
ER  -