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Adoption Model for Cloud-Based E-Learning in Higher Education

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Advances on Intelligent Computing and Data Science (ICACIn 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 179))

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Abstract

Regarding the use of e-learning in higher education institutions, there is a developing trend. A significant upfront infrastructure with several establishments is needed for an e-learning framework. To keep up with the fast change that is essential to globalization, higher education institutions (HEIs) must overcome various obstacles. The classic e-learning approach is therefore insufficient now because of all the difficulties and challenges. The appealing cloud-based e-learning (CBEL) platform offers a scalable and flexible e-learning method that can be accessed from any location, at any time, and using any device. The proposed framework has been built based on various elements: technological evaluation, readiness evaluation, and information culture factors. These were extracted from two well-known technology adoption theories, the Fit-Viability Model (FVM) and the Diffusion of Innovation (DOI) model. Information culture (IC) elements were chosen as a consideration since they have a substantial impact on the adoption of any technology. To investigate its substantial impact on the adoption of CBEL in HEIs in Oman as well as its viability, 14 proposed hypotheses were established. Data was collected from a sample of academics and IT professionals from 32 HEIs in Oman using a structured survey with standardised questions. The Statistical Package for Social Science (SPSS version 25) and Partial Least Squares (SmartPLS version3) were used to evaluate the proposed CBEL model and to examine the relationship between them. Based on the findings, which demonstrated that factors like fit, viability, and information culture strongly influenced HEIs’ decisions to adopt CBEL in Oman, the final model was created. The resulting model demonstrated that 68.2% of the critical elements for CBEL adoption were addressed, and that by using this model, the quality of academic services could be improved by 56.1%.

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Author information

Authors and Affiliations

  1. Department of Education, College of Arts and Humanities, A’Sharqiyah University, Ibra, Oman

    Qasim AlAjmi

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  1. Qasim AlAjmi
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Correspondence to Qasim AlAjmi .

Editor information

Editors and Affiliations

  1. School of Computing and Digital Technology, Birmingham City University, Birmingham, UK

    Faisal Saeed

  2. Information Systems Department, School of Computing, Universiti Utara Malaysia (UUM), Sintok, Malaysia

    Fathey Mohammed

  3. Faculty of Sciences, University of Hassan II Casablanca, Casablanca, Morocco

    Errais Mohammed

  4. Department of Computing and Technology, Nottingham Trent University, Nottingham, UK

    Tawfik Al-Hadhrami

  5. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Mohammed Al-Sarem

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AlAjmi, Q. (2023). Adoption Model for Cloud-Based E-Learning in Higher Education. In: Saeed, F., Mohammed, F., Mohammed, E., Al-Hadhrami, T., Al-Sarem, M. (eds) Advances on Intelligent Computing and Data Science. ICACIn 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-031-36258-3_51

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