Managing Data Heterogeneity for Ontology-Driven Models: Application to Gamified E-Learning Contexts

Yara Gomaa, Yara Gomaa, Christine Lahoud, Marie-Hélène Abel, Sherin Moussa, Sherin Moussa

2025

Abstract

Data heterogeneity within gamified e-learning systems exposes a challenge for ontology-driven models, specifically ontology-based recommender systems. These systems can help teachers who are unfamiliar with gamification by offering personalized recommendations to gamify their pedagogical resources. Yet, developing such systems requires collecting and integrating diverse data about users, resources, and game elements, originating from multiple sources, like learning management systems and educational repositories, each with varying formats and inconsistent semantics. This paper proposes an approach to manage the complexities of collecting and preparing heterogeneous data for an ontology-driven model within gamified e-learning contexts. A full overview is provided on the data workflow, which consists of two main phases: (1) Data collection, which combines automated techniques through APIs and web scraping, and (2) Data Integration by means of mapping the collected data into our Teacher in Gamified e-learning Context (TGC) ontology to produce coherent and semantically enriched structure. The resulting data repository facilitates semantic queries, inference, and knowledge enrichment, overcoming challenges like cold-start scenarios and supporting the dynamic generation of personalized recommendations. This proposed approach aims to establish a robust approach that addresses the challenges of data heterogeneity, ensuring consistent and meaningful integration for ontology-based recommender systems in gamified e-learning contexts.

Paper Citation

in Harvard Style

Gomaa Y., Lahoud C., Abel M. and Moussa S. (2025). Managing Data Heterogeneity for Ontology-Driven Models: Application to Gamified E-Learning Contexts. In Proceedings of the 17th International Conference on Computer Supported Education - Volume 1: EKM; ISBN 978-989-758-746-7, SciTePress, pages 726-736. DOI: 10.5220/0013496700003932

in Bibtex Style

@conference{ekm25,
author={Yara Gomaa and Christine Lahoud and Marie-Hélène Abel and Sherin Moussa},
title={Managing Data Heterogeneity for Ontology-Driven Models: Application to Gamified E-Learning Contexts},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 1: EKM},
year={2025},
pages={726-736},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013496700003932},
isbn={978-989-758-746-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 1: EKM
TI - Managing Data Heterogeneity for Ontology-Driven Models: Application to Gamified E-Learning Contexts
SN - 978-989-758-746-7
AU - Gomaa Y.
AU - Lahoud C.
AU - Abel M.
AU - Moussa S.
PY - 2025
SP - 726
EP - 736
DO - 10.5220/0013496700003932
PB - SciTePress