Abstract
The purpose of this article is to discuss researches done on the efficacy of cloud computing in e-learning. It summarises the present state of cloud-based e-learning and the consequences for educators. Thus, the article begins with an overview of e-learning and cloud computing architectures and a discussion of their key characteristics. The article discusses the potential challenges associated with implementing e-learning systems. The benefits of cloud computing are promoted as a possible solution to these issues. Additionally, there are answers to problems that arise when e-learning makes use of cloud computing, as well as an overview of the most commonly used architectural design patterns of cloud-based e-learning. Additionally, the challenges associated with implementing cloud-based e-learning systems and potential solutions are discussed. This article further proposes a paradigmatic model for cloud-based e-learning. The model is created using Diffusion of Innovation and Fit-Viability model, along with factors influencing information culture. The principal objective of the proposed model is to discover the most important variables that influence cloud computing for the purpose of improving e-learning.
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Alam, A. (2022). Cloud-Based E-Learning: Development of Conceptual Model for Adaptive E-Learning Ecosystem Based on Cloud Computing Infrastructure. In: Kumar, A., Fister Jr., I., Gupta, P.K., Debayle, J., Zhang, Z.J., Usman, M. (eds) Artificial Intelligence and Data Science. ICAIDS 2021. Communications in Computer and Information Science, vol 1673. Springer, Cham. https://doi.org/10.1007/978-3-031-21385-4_31
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