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

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Advancing E-Learning: A Thorough Exploration of AI and IoT within 6G Networks

Authors
Amal Aoulad Ali1, *, Souad Alaoui2, Abdelhalim Hnini3, Imane Chlioui4, Nadir El Morabit5
1Polydisciplinary Faculty of Taza, Sciences and Techniques and Innovation Laboratory, University of Sidi Mohamed Ben Abdellah of Fes, Taza, Morocco
2Polydisciplinary Faculty of Taza, Sciences and Techniques and Innovation Laboratory, University of Sidi Mohamed Ben Abdellah of Fes, Taza, Morocco
3Hassan First University of Settat, LAVETE Laboratory, National School of Applied Sciences of Berrechid, Berrechid, Morocco
4Software Project Management Research Team, ENSIAS, Mohammed V University Rabat, Rabat, Morocco
5Faculty of Letters and Humanities, Abdelmalek Essaadi University, Tetouan, Morocco
*Corresponding author. Email: amal.aouladali@usmba.ac.ma
Corresponding Author
Amal Aoulad Ali
Available Online 20 June 2025.
DOI
10.2991/978-2-38476-408-2_14How to use a DOI?
Keywords
IoT; AI; E-learning; Technology; 5G; 6G
Abstract

This paper systematically reviews the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) into the sixth generation (6G) networks and its potential impact on enhancing e-learning. Furthermore, the research examines the transition from 5G’s operational and security limitations to an efficient 6G framework and infrastructure contributory to improving IoT applications. Our research explores innovative technologies, technical issues, and future possibilities of AI and IoT in the field of e-learning, emphasizing critical areas for development as well as security and optimization aspects in 6G networks. It also addresses the technical challenges of AI and IoT in 6G and highlights data privacy, edge learning and resources utilization. The research findings underscore the crucial role of AI and IoT’s contribution in boosting the e-learning infrastructure through the implementation of 6G technology, forecasting a new era of instructional delivery and interaction paradigms.

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_14How 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  - Amal Aoulad Ali
AU  - Souad Alaoui
AU  - Abdelhalim Hnini
AU  - Imane Chlioui
AU  - Nadir El Morabit
PY  - 2025
DA  - 2025/06/20
TI  - Advancing E-Learning: A Thorough Exploration of AI and IoT within 6G Networks
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2024)
PB  - Atlantis Press
SP  - 178
EP  - 192
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-2-38476-408-2_14
DO  - 10.2991/978-2-38476-408-2_14
ID  - Ali2025
ER  -