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

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Adaptive E-Learning Model based on Artificial Intelligence (AI) for Boosting Moroccan Students’ Performance

Authors
Ghita Faouzi1, *, Naila Amrous2, 3, Nour-Eddine El Faddouli3, Mostafa Khabouze4
1RIME Team, MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), Mohammed V University in Rabat, Rabat, Morocco
2Laboratory of Mediation-Information-Knowledge-Society (MIKS), School of Information Science, Rabat, Morocco
3RIME Team, MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), Mohammed V University in Rabat, Rabat, Morocco
4Faculty of Economics and Management, Hassan 1st University Settat, Settat, Morocco
*Corresponding author. Email: ghita.faouzi123@gmail.com
Corresponding Author
Ghita Faouzi
Available Online 20 June 2025.
DOI
10.2991/978-2-38476-408-2_19How to use a DOI?
Keywords
Online Learning; Real-Time Sentiment Analysis; Adaptive Learning; Artificial Intelligence; Higher Education
Abstract

Nowadays, we are witnessing a strong evolution of learning environments; the move to online education today has become a necessity, not a choice. The use of information and communication technology (ICT), digital tools and online learning platforms have made significant strides in improving the learning process. Nevertheless, these platforms not fully meet the leaners’ needs and preferences, due to static pedagogical design. These advancements involve the deployment of techniques such as text analysis, sentiment analysis, voice recognition, and recommendation systems. Consequently, this work aims to propose an adaptive learning system that considering students’ behavior during learning session, focusing on their feedbacks by using real-time sentiment analysis with the main goal of providing personalized learning environments adapted to the learner specificities.

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_19How 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  - Ghita Faouzi
AU  - Naila Amrous
AU  - Nour-Eddine El Faddouli
AU  - Mostafa Khabouze
PY  - 2025
DA  - 2025/06/20
TI  - Adaptive E-Learning Model based on Artificial Intelligence (AI) for Boosting Moroccan Students’ Performance
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
PB  - Atlantis Press
SP  - 258
EP  - 267
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-2-38476-408-2_19
DO  - 10.2991/978-2-38476-408-2_19
ID  - Faouzi2025
ER  -