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

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Enhancing Student Engagement in online through Artificial Intelligence

Authors
Hai Ikrame1, *, Abdellaoui Mohammed2
1Faculty of Legal, Economic and Social Sciences, Sidi Mohammed Ben Abdellah University, Fez, Morocco
2Teacher, Faculty of Legal, Economic and Social Sciences, Sidi Mohammed Ben Abdellah University, Fez, Morocco
*Corresponding author. Email: ikramehai@gmail.com
Corresponding Author
Hai Ikrame
Available Online 20 June 2025.
DOI
10.2991/978-2-38476-408-2_28How to use a DOI?
Keywords
Artificial Intelligence (IA); Student Engagement; Online Learning; Personalized Learning; Machine Learning; Data Analytics
Abstract

In the constantly evolving educational landscape, the integration of Artificial Intelligence (AI) has emerged as a transformative force, particularly in the realm of online courses. This article explores the use of AI-based solutions to enhance student engagement in virtual learning environments. By leveraging intelligent algorithms, machine learning, and data analytics, educators can personalize the learning experience, tailor content delivery, and provide timely feedback tailored to individual student needs. The study examines various AI-based strategies designed to foster student engagement, including predictive analytics to identify at-risk students, chatbots for instant support, and adaptive learning platforms for personalized program delivery. Additionally, the article delves into the ethical considerations surrounding the implementation of AI in education, addressing concerns related to privacy, bias, and human-machine interface. Through a comprehensive review of existing literature and case studies, this research aims to provide insights into the effectiveness of AI in promoting active student participation, collaboration, and motivation in online courses. Furthermore, it explores potential challenges and future directions for AI integration in education, emphasizing the importance of a balanced and ethical approach to fully harnessing the technology’s potential in developing a more engaging and inclusive learning environment.

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_28How 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  - Hai Ikrame
AU  - Abdellaoui Mohammed
PY  - 2025
DA  - 2025/06/20
TI  - Enhancing Student Engagement in online through Artificial Intelligence
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
PB  - Atlantis Press
SP  - 381
EP  - 395
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-2-38476-408-2_28
DO  - 10.2991/978-2-38476-408-2_28
ID  - Ikrame2025
ER  -