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eLearning Acceptance and Adoption Challenges in Higher Education

Author

Listed:
  • Shakeel Ahmad

    (Department of Computer Science, School of Informatics Applied Mathematics, Universiti Malaysia Terengganu (UMT), Kuala Terengganu 21300, Malaysia
    Department of eLearning and Information Technology, Jazan University, Jazan 45142, Saudi Arabia)

  • Ahmad Shukri Mohd Noor

    (Department of Computer Science, School of Informatics Applied Mathematics, Universiti Malaysia Terengganu (UMT), Kuala Terengganu 21300, Malaysia)

  • Ali A. Alwan

    (Schools of Theoretical and Applied Science, Ramapo College of New Jersey, Mahwah, NJ 07430, USA)

  • Yonis Gulzar

    (Department of Management Information Systems, College of Business Administration, King Faisal University, Al-Ahsa 31982, Saudi Arabia)

  • Wazir Zada Khan

    (Department of Computer Science, University of Wah, Rawalpindi 47040, Pakistan)

  • Faheem Ahmad Reegu

    (College of Computer Science and Information Technology, Jazan University, Jazan 45142, Saudi Arabia)

Abstract

Online learning and technology acceptance has become a highly significant subject in the field of information technology. The challenges of eLearning acceptance and adoption in higher education are complex and multifaceted: it is important to carefully consider the environmental, social, and economic implications of eLearning implementation and to work toward ensuring that eLearning programs are accessible, equitable, and sustainable over the long term. Many theories and models have been proposed over the years to explain individual usage and behavior and measure the degree of acceptance and satisfaction toward technology acceptance and online learning. This study reviews the challenges and limitations of online learning acceptance and adoption for the last ten years (2012–2022). Lack of technical support, awareness, institution readiness, quality online course content, and less information technology skill of faculty members in the early years present challenges. Further, self-efficacy, financial and technology factors, pedagogical learning, socio-economic evolution, digital competence and compatibility, and lack of technological infrastructure have significantly affected the adoption of eLearning in higher education institutions in recent years.

Suggested Citation

  • Shakeel Ahmad & Ahmad Shukri Mohd Noor & Ali A. Alwan & Yonis Gulzar & Wazir Zada Khan & Faheem Ahmad Reegu, 2023. "eLearning Acceptance and Adoption Challenges in Higher Education," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:6190-:d:1115559
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Ping Qiao & Xiaoman Zhu & Yangzhi Guo & Ying Sun & Chuan Qin, 2021. "The Development and Adoption of Online Learning in Pre- and Post-COVID-19: Combination of Technological System Evolution Theory and Unified Theory of Acceptance and Use of Technology," JRFM, MDPI, vol. 14(4), pages 1-17, April.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Quadri Noorulhasan Naveed & Adel Ibrahim Qahmash & Muna Al-Razgan & Karishma M. Qureshi & Mohamed Rafik Noor Mohamed Qureshi & Ali A. Alwan, 2022. "Evaluating and Prioritizing Barriers for Sustainable E-Learning Using Analytic Hierarchy Process-Group Decision Making," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Arran Thatcher & Mona Zhang & Hayden Todoroski & Anthony Chau & Joanna Wang & Gang Liang, 2020. "Predicting the Impact of COVID-19 on Australian Universities," JRFM, MDPI, vol. 13(9), pages 1-20, August.
    7. José Manuel Hernández-Padilla & José Granero-Molina & María Dolores Ruiz-Fernández & Iria Dobarrio-Sanz & María Mar López-Rodríguez & Isabel María Fernández-Medina & Matías Correa-Casado & Cayetano Fe, 2020. "Design and Psychometric Analysis of the COVID-19 Prevention, Recognition and Home-Management Self-Efficacy Scale," IJERPH, MDPI, vol. 17(13), pages 1-14, June.
    8. Stoffregen, Julia Dorothée & Pawlowski, Jan M. & Ras, Eric & Tobias, Eric & Šćepanović, Snezana & Fitzpatrick, Dónal & Mehigan, Tracey & Steffens, Petra & Przygoda, Christiane & Schilling, Peter & Fri, 2016. "Barriers to open e-learning in public administrations," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 198-208.
    9. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    10. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
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