A New Ontology-Based Recommender System for Academic Guidance in Paramedical Studies

Authors

DOI:

https://doi.org/10.3991/ijoe.v21i08.54911

Keywords:

recommender systems (RS), paramedical education, academic guidance, NurSHT-RS, ontology, NSHTOri-Onto

Abstract


This paper presents NurSHT-RS (Nursing Sciences and Health Techniques-Recommender System). The purpose is to help students choose study options within the paramedical education sector in Morocco. Recognizing the challenges students face due to insufficient knowledge about study specialties and the reliance on subjective advice, NurSHT-RS aims to address the risks of uninformed career decisions. The system leverages machine learning (ML) and ontology techniques to personalize recommendations based on students’ academic profiles, demographic data, and physical conditions, including disabilities. The system also incorporates NSHTOri-Onto (Nursing Sciences and Health Techniques Orientation-Ontology), a comprehensive ontology that semantically represents student profiles, paramedical specialties, and training institutions. This ontology not only supports accurate recommendations but also provides reusable and extensible knowledge frameworks for similar applications. NurSHT-RS stands out by offering students detailed and up-to-date information, including study modules, admission criteria, and career opportunities, to ensure informed decision-making. In addition, it could be used by educational advisors, Moroccan students, or foreign students wishing to continue their studies in Morocco.

Author Biographies

Samira Reguragui, Abdelmalek Essaadi University, Tetuan, Morocco

Samira Reguragui is a Ph.D. student at Abdelmalek Essaadi University in Morocco. Her areas of expertise include artificial intelligence in education, ICT, and instructional engineering. With a keen focus on the integration of technology in pedagogy, she has contributed significantly to the field. Her work has been presented at national and international conferences and published in reputable journals.

Ahmed Bendahmane, Abdelmalek Essaadi University, Tetuan, Morocco

Ahmed Bendahmane is a Professor of Computer Science at the Higher Normal School (ENS), Abdelmalek Essaadi University. He earned his doctorate in Computer Science from the same university in 2013. His main research interests include distributed systems, security of grid and cloud computing systems, intrusion detection and tolerance, blockchain, and smart systems. He is the author and co-author of several papers covering these and other topics, which have appeared in refereed specialized journals and international conferences. He is a member of the IEEE.

Abdellatif El Aidi, Sidi Mohamed Ben Abdellah University, Fes, Morocco

Abdellatif El Aidi is an Associate Professor of English at the Faculty of Letters and Human Sciences Sais-Fez (FLHS), Sidi Mohamed Ben Abdellah University in Morocco, and a researcher at the AMERLA-DCCS Research Laboratory. His research interests include postcolonial studies, cultural theory, Francophone literary representations of Morocco, and education. He is the founder and chair of the annual International Conference on Language, Literature, and Culture, hosted by FLHS. His research, which critically addresses sociocultural issues and challenges prevailing views of representation and identity, has been published in peer-reviewed journals and presented at various national and international conferences

Essaid El Haji, Abdelmalek Essaadi University, Tetuan, Morocco

Essaid El Haji is a dedicated researcher and faculty member at the Multidisciplinary Faculty of Larache, Abdelmalek Essaadi University, where he serves in the Department of Computer Science. He also leads the university’s FabLab, a creative hub for technological innovation and student-driven projects. He earned his Ph.D. in 2018 from the Faculty of Sciences and Techniques in Tangier, specializing in Computer Science and Artificial Intelligence. He is the author of several scientific publications in international journals and conferences. Beyond his research, he actively contributes to the academic community as a reviewer for various peer-reviewed journals and international conferences

Cover iJOE – Vol 21, No 08, 2025

Downloads

Published

2025-06-27

How to Cite

Reguragui, S., Bendahmane, A., El Aidi, A., & El Haji, E. (2025). A New Ontology-Based Recommender System for Academic Guidance in Paramedical Studies. International Journal of Online and Biomedical Engineering (iJOE), 21(08), pp. 104–119. https://doi.org/10.3991/ijoe.v21i08.54911

Issue

Vol. 21 No. 08 (2025)

Section

Papers

License

Copyright (c) 2025 Samira Reguragui, Ahmed Bendahmane, Abdellatif El Aidi, Essaid El Haji

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.