Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2025)

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Generative AI at the Service of University Orientation: Towards Innovative Academic Governance for Master’s Candidates at the Fless in Tangier Morocco

Authors
Ghafir Adil1, *, Bennani Anas2, El Hajjaji Soukaina3, Tali Abdelhak4
1Doctoral Student at Abdelmalek Essaadi University, Research team in Management & Dynamics of organizations, UAE, Tétouan, Morocco
2Professor at Abdelmalek Essaadi University, Research laboratory Innovative Systems Engineering, UAE, Tétouan, Morocco
3Professor at Abdelmalek Essaadi University, Research team in Management & Dynamics of organizations, UAE, Tétouan, Morocco
4Professor at Abdelmalek Essaadi University, Information and Communication Technologies Laboratory, UAE, Tétouan, Morocco
*Corresponding author. Email: adil.ghafir@etu.uae.ac.ma
Corresponding Author
Ghafir Adil
Available Online 2 April 2026.
DOI
10.2991/978-94-6239-634-0_10How to use a DOI?
Keywords
University orientation; Assistant AI; Innovative academic governance
Abstract

With the advent of generative artificial intelligence and its ability to produce varied content, a new way of managing an important stage in learners’ university careers is now possible. The traditional methods dedicated to the orientation of future students remain inappropriate according to their personalized needs.

Innovative academic governance focuses on new methods and ideas. It integrates modern practices. The use of advanced technological tools is the main driving force behind its dynamism and effectiveness.

This paper implements an innovative idea using, on the one hand an AI assistant based on KAG: Knowledge Augmented Generation, a generative AI solution that uses knowledge graphs (KGs) as a database to improve the generative capacity of language models. This type of graph is a set of entities joined by relations, enabling AI systems to understand data semantically and operate efficiently. And on the other hand, to adopt innovative academic governance in Moroccan universities by modernizing the orientation process for candidates who are lost in the face of the diversification of training courses that currently exist at the Faculty of Legal, Economic and Social Sciences of Tangier Morocco.

The solution proposed in this paper will be evaluated in the context of the Master’s courses opened by this higher education establishment. It could also be extended to other establishments and courses.

Copyright
© 2026 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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Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2025)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
2 April 2026
ISBN
978-94-6239-634-0
ISSN
2667-128X
DOI
10.2991/978-94-6239-634-0_10How to use a DOI?
Copyright
© 2026 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.

Cite this article

risenwbib
TY  - CONF
AU  - Ghafir Adil
AU  - Bennani Anas
AU  - El Hajjaji Soukaina
AU  - Tali Abdelhak
PY  - 2026
DA  - 2026/04/02
TI  - Generative AI at the Service of University Orientation: Towards Innovative Academic Governance for Master’s Candidates at the Fless in Tangier Morocco
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2025)
PB  - Atlantis Press
SP  - 126
EP  - 138
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-634-0_10
DO  - 10.2991/978-94-6239-634-0_10
ID  - Adil2026
ER  -