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A Framework for Collaborative and Convenient Learning on Cloud Computing Platforms

Author

Listed:
  • Deepika Sharma

    (Jagannath University, Jaipur, India)

  • Vikas Kumar

    (School of Business Studies, Sharda University, Greater Noida, India)

Abstract

The depth of learning resides in collaborative work with more engagement and fun. Technology can enhance collaboration with a higher level of convenience and cloud computing can facilitate this in a cost effective and scalable manner. However, to deploy a successful online learning environment, elementary components of learning pedagogy must be embedded in the technology framework. A cloud computing technology based learning platform built on the proven learning pedagogies will be most successful attempt to facilitate collaborative and convenient learning. Such platform will support the learners to connect and coordinate the online resources in a more efficient, effective and practical way. This paper proposes a new theoretical framework for collaborative and convenient learning on cloud computing technology by reviewing various learning theories and integrating them with the technology framework. Architectural details of the framework have been presented with suitable examples for a better understanding. The work has a lot of significance for deploying cloud computing based collaborative learning solutions in the educational institutions.

Suggested Citation

  • Deepika Sharma & Vikas Kumar, 2017. "A Framework for Collaborative and Convenient Learning on Cloud Computing Platforms," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 12(2), pages 1-20, April.
  • Handle: RePEc:igg:jwltt0:v:12:y:2017:i:2:p:1-20
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    Cited by:

    1. Aminu Adamu Ahmed, 2023. "Analysing the issues surrounding information and communication technology penetration and growth," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 716-732, March.
    2. Vikas Kumar & Deepika Sharma, 2021. "E-Learning Theories, Components, and Cloud Computing-Based Learning Platforms," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 16(3), pages 1-16, May.

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