Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)

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Towards Intelligent Personalization In Learning Systems

Authors
Anoir Lamya1, *, Chelliq Ikram1, Khaldi Mohamed1
1Research Team in Computer Science and University Pedagogical Engineering Higher Normal School, Abdelmalek Essaadi University, Tetouan, Morocco
*Corresponding author. Email: lamya.anoir@uae.ac.ma
Corresponding Author
Anoir Lamya
Available Online 20 June 2025.
DOI
10.2991/978-2-38476-408-2_36How to use a DOI?
Keywords
personalization; design; intelligent system; intelligent tutor system; multi-agent system
Abstract

Personalizing learning has become a crucial issue in modern educational environments, aiming to meet learners’ individual needs and maximize their potential. This paper presents the process of designing and implementing an innovative intelligent system combining intelligent tutor systems (ITS) and multi-agent systems (MAS) to deliver personalized learning. The proposed system uses learner profiles and domain models to dynamically adapt learning paths according to learners’ performance and preferences. Evaluation of the system through case studies demonstrated a significant improvement in learner satisfaction and pedagogical effectiveness. The results show that the integration of ITS and MAS makes it possible to create an adaptive and responsive learning environment, capable of adjusting in real time to learners’ needs.

This article makes important contributions to educational technology research, proposing a robust solution for personalizing learning. The implications for the future of education are promising, leading the way for future developments and further research to perfect and extend the use of such intelligent systems in various educational contexts.

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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Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
20 June 2025
ISBN
978-2-38476-408-2
ISSN
2667-128X
DOI
10.2991/978-2-38476-408-2_36How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Anoir Lamya
AU  - Chelliq Ikram
AU  - Khaldi Mohamed
PY  - 2025
DA  - 2025/06/20
TI  - Towards Intelligent Personalization In Learning Systems
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
PB  - Atlantis Press
SP  - 503
EP  - 511
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-2-38476-408-2_36
DO  - 10.2991/978-2-38476-408-2_36
ID  - Lamya2025
ER  -