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IoT Adoption Model for E-Learning in Higher Education Institutes: A Case Study in Saudi Arabia

Author

Listed:
  • Javed Ali

    (College of Computing and Informatics, Saudi Electronic University, Riyadh 11673, Saudi Arabia)

  • Syed Hamid Hussain Madni

    (School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia)

  • Mohd Shamim Ilyas Jahangeer

    (Department of Computer Science, Aligarh Muslim University, Alaigarh 202001, India)

  • Muhammad Abdullah Ahmed Danish

    (Faculty of Science, Aligarh Muslim University, Aligarh 202001, India)

Abstract

The realm of the Internet of Things (IoT), while continually transforming as a novel paradigm in the nexus of technology and education, still contends with numerous obstacles that hinder its incorporation into higher education institutions’ (HEIs) e-learning platforms. Despite substantial strides in IoT utilization from industrialized nations—the United States, the United Kingdom, Japan, and China serving as prime exemplars—the scope of its implementation in developing countries, notably Saudi Arabia, Malaysia, Pakistan, and Bangladesh, lags behind. A significant gap exists in research centered on the trajectory of IoT integration within e-learning systems of economically disadvantaged nations. Specifically, this study centers on Saudi Arabia to illuminate the main factors catalyzing or encumbering IoT uptake within its HEIs’ e-learning sector. As a preliminary step, this research has embarked on an exhaustive dissection of prior studies to unearth critical variables implicated in the IoT adoption process. Subsequently, we employed an inferential methodology, amassing data from 384 respondents in Saudi Arabian HEIs. Our examination divulges that usability, accessibility, technical support, and individual proficiencies considerably contribute to the rate of IoT incorporation. Furthermore, our data infer that financial obstacles, self-efficacy, interactive capability, online surveillance, automated attendance tracking, training programs, network and data safeguarding measures, and relevant tools significantly influence IoT adoption. Contrarily, factors such as accessibility, internet quality, infrastructure preparedness, usability, privacy concerns, and faculty support appeared to have a negligible impact on the adoption rates within HEIs. This research culminates in offering concrete recommendations to bolster IoT integration within Saudi Arabian HEIs, presenting valuable insights for government entities, policy architects, and HEIs to address the hurdles associated with IoT implementation in the higher education sector.

Suggested Citation

  • Javed Ali & Syed Hamid Hussain Madni & Mohd Shamim Ilyas Jahangeer & Muhammad Abdullah Ahmed Danish, 2023. "IoT Adoption Model for E-Learning in Higher Education Institutes: A Case Study in Saudi Arabia," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9748-:d:1174148
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    References listed on IDEAS

    as
    1. Mao Zhao & Wei Liu & Abu Naser Mohammad Saif & Bo Wang & Rasheda Akter Rupa & K. M. Anwarul Islam & S. M. Masudur Rahman & Nusrat Hafiz & Rehnuma Mostafa & Mohammad Anisur Rahman, 2023. "Blockchain in Online Learning: A Systematic Review and Bibliographic Visualization," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    2. Vanessa Botero-Gómez & Luis Germán Ruiz-Herrera & Alejandro Valencia-Arias & Alejandra Romero Díaz & Juan Carlos Vives Garnique, 2023. "Use of Virtual Tools in Teaching-Learning Processes: Advancements and Future Direction," Social Sciences, MDPI, vol. 12(2), pages 1-19, January.
    3. Sultana, Nahida & Tamanna, Marzia, 2022. "Evaluating the Potential and Challenges of IoT in Education and Other Sectors during the COVID-19 Pandemic: The Case of Bangladesh," Technology in Society, Elsevier, vol. 68(C).
    4. Radhwan Sneesl & Yusmadi Yah Jusoh & Marzanah A. Jabar & Salfarina Abdullah, 2022. "Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review," Sustainability, MDPI, vol. 14(8), pages 1-27, April.
    5. Prakash Singh & Ibrahim Alhassan & Nasser Binsaif & Thamer Alhussain, 2023. "Standard Measuring of E-Learning to Assess the Quality Level of E-Learning Outcomes: Saudi Electronic University Case Study," Sustainability, MDPI, vol. 15(1), pages 1-28, January.
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