Cloud Computing for Collaborative Learning Platforms: Technologies and Educational Impact

Main Article Content

Oisin Wijesekara Email:

Abstract

Cloud computing has significantly transformed modern education by enabling scalable, cost-efficient, and accessible collaborative learning platforms. These cloud-based systems support various educational activities such as real-time discussions, group projects, shared content creation, peer review, and adaptive learning, thereby encouraging active student participation, knowledge sharing, and critical thinking. This review paper examines the role of cloud computing technologies in collaborative educational environments and analyzes key cloud service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). These models support applications such as virtual laboratories, learning management systems, and integrated educational software solutions. The study also highlights enabling technologies such as virtualization, containerization, WebRTC-based real-time communication, big data analytics for monitoring learner engagement, and artificial intelligence for adaptive learning and intelligent tutoring. In addition, security frameworks are discussed to ensure the protection of sensitive educational data. The review identifies several benefits of cloud-based learning, including improved accessibility, personalized learning pathways, and support for both synchronous and asynchronous collaboration across geographically dispersed learners. However, challenges such as data privacy concerns, infrastructure dependency, interoperability issues, and the digital divide remain significant barriers. Overall, cloud computing offers substantial potential for developing collaborative, inclusive, and learner-centered educational environments.


 

Article Details

How to Cite
Oisin Wijesekara Email:. (2025). Cloud Computing for Collaborative Learning Platforms: Technologies and Educational Impact. International Journal on Advanced Computer Engineering and Communication Technology, 14(1), 806–816. Retrieved from https://journals.mriindia.com/index.php/ijacect/article/view/1856
Section
Articles

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.