Ontology-Driven Intelligent Group Pairing in Project-Based Collaborative Learning

Asma Hadyaoui, Lilia Cheniti-Belcadhi

2023

Abstract

In this research project, we investigate the influence of real-time online feedback from peer groups on the assessment of group work in the setting of Project-Based Collaborative Learning (PBCL). Peer feedback plays a crucial role in assisting students in evaluating their learning progress and acquiring valuable skills. Nevertheless, its effectiveness in group environments has yet to be explored. To tackle this issue, we propose an intelligent approach driven by ontologies to collect pertinent peer group feedback from the most compatible groups. We make use of agglomerative clustering to identify groups that closely match and connect them to exchange feedback. We utilize the information embedded in the ontology to create pairs of groups exhibiting similar behaviors and dynamics during project-based learning activities. To assess the effectiveness of our approach, we divide our dataset into two equal parts. We apply our intelligent pairing method to one half and a random approach to the other. We conduct assessments both before and after peer group feedback to measure its impact on project outcomes, including critical thinking and creativity. The results indicate a substantial improvement in project outcomes, particularly in terms of critical thinking and creativity, due to peer group feedback. Additionally, the groups formed using the agglomerative clustering algorithm demonstrate a higher increase in project validation (8.33%) compared to the random approach (5.27%). Our research underscores the effectiveness of integrating intelligence into the peer group feedback process, especially in the context of PBCL. The proposed ontology presents a promising solution for optimizing the assessment process, leading to improved results and the cultivation of critical thinking and creativity among students.

Paper Citation

in Harvard Style

Hadyaoui A. and Cheniti-Belcadhi L. (2023). Ontology-Driven Intelligent Group Pairing in Project-Based Collaborative Learning. In Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-672-9, SciTePress, pages 152-163. DOI: 10.5220/0012237500003584

in Bibtex Style

@conference{webist23,
author={Asma Hadyaoui and Lilia Cheniti-Belcadhi},
title={Ontology-Driven Intelligent Group Pairing in Project-Based Collaborative Learning},
booktitle={Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2023},
pages={152-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012237500003584},
isbn={978-989-758-672-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Ontology-Driven Intelligent Group Pairing in Project-Based Collaborative Learning
SN - 978-989-758-672-9
AU - Hadyaoui A.
AU - Cheniti-Belcadhi L.
PY - 2023
SP - 152
EP - 163
DO - 10.5220/0012237500003584
PB - SciTePress