Abstract: In recent years, cloud computing and Internet of Things (IoT) technologies have reshaped e-learning, leading to adaptive content delivery tailored to learners' needs. These paradigms have changed e-learning platforms by providing a scalable and flexible infrastructure for storing and processing large amounts of data. This enables seamless access to teaching materials and resources from anywhere and anytime, increasing the convenience and efficiency of online learning experiences. The convergence of cloud computing, IoT, and e-learning platforms is the heart of this study regarding how these technologies will work together to enable personalized educational experiences. We examine the principles, challenges, and developments in cloud-based adaptive content delivery and highlight the role of IoT data in understanding and incorporating learner preferences. In addition, we discuss possible future directions and implications for the further development of e-learning methods.

Lili QIU, “Internet of Things and Cloud Computing-Based Adaptive Content Delivery in E-Learning Platforms” International Journal of Advanced Computer Science and Applications(IJACSA), 15(11), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151171

@article{QIU2024,
title = {Internet of Things and Cloud Computing-Based Adaptive Content Delivery in E-Learning Platforms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151171},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151171},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {11},
author = {Lili QIU}
}