Transforming E-learning systems with AI and IoT Powered by 6G Technologies
This study explores the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) within sixth-generation (6G) networks to enhance digital education. A systematic review was conducted on 15 peer-reviewed articles published between 2018 and 2024. The review evaluates how AI enables adaptive learning and real-time analytics while IoT facilitates smart classroom environments and learner monitoring. Findings indicate that combining these technologies over 6G networks improves latency, personalization, and scalability in e-learning. Despite these benefits, challenges such as infrastructure cost, device interoperability, and data privacy persist. The paper concludes by recommending technical strategies and future research directions to optimize AI and IoT integration in smart education systems.
Institutions
- Université Hassan 1er (MA)
- Sidi Mohamed Ben Abdellah University (MA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-30
- DOI
- https://doi.org/10.5281/zenodo.17277747
- Primary Topic
- Microbial Inactivation Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00