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

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Intelligent Learning: A Comprehensive Study of Integrating Machine Learning Algorithms in the Era of AI to Predict the Success of E-Learning in Education

Authors
Aitouhanni Imane1, *, Bouijij Habiba1
1SLab, ENSIAS Mohammed V University in Rabat, Rabat, Morocco
*Corresponding author. Email: imane.aitouhanni@gmail.com
Corresponding Author
Aitouhanni Imane
Available Online 20 June 2025.
DOI
10.2991/978-2-38476-408-2_5How to use a DOI?
Keywords
E-Learning; Artificial Intelligence (AI); Machine Learning Algorithms; Personalized Learning; Emerging Trends; Data Analysis; Educational Innovation; Success Prediction; AI in Education
Abstract

As the landscape of education undergoes a profound transformation, the intersection of Artificial Intelligence (AI) and e-learning emerges as a focal point of exploration. In this compelling article, we delve into the evolution of e-learning in the era of AI. Our study focuses on the application of powerful machine learning algorithms to predict the success of e-learning in the field of education. By closely examining data and emerging trends, we analyze how these machine learning algorithms can anticipate and enhance the effectiveness of online education. This research provides innovative insights into the impact of AI on education, paving the way for more personalized and efficient approaches to online learning. Through this exploration, we aim to contribute to the ongoing discourse surrounding the transformative potential of intelligent learning systems.

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_5How 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  - Aitouhanni Imane
AU  - Bouijij Habiba
PY  - 2025
DA  - 2025/06/20
TI  - Intelligent Learning: A Comprehensive Study of Integrating Machine Learning Algorithms in the Era of AI to Predict the Success of E-Learning in Education
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
PB  - Atlantis Press
SP  - 43
EP  - 56
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-2-38476-408-2_5
DO  - 10.2991/978-2-38476-408-2_5
ID  - Imane2025
ER  -