The DOI matches its Crossref record; 89 of the 91 references it cites were found in a registry or an index.
eLearning Acceptance and Adoption Challenges in Higher Education
Open accessAbstract
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.
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“The experience with e-learning and learning management systems in Pakistani universities demonstrates that even advanced technologies face adoption barriers due to institutional inertia and insufficient training (Ahmad, Mohd Noor et al. 2023).”
From AI Adoption in Higher Education: A Comparative Study of Institutional Readiness and Challenges (2025) · cites this paper as Ahmad, Mohd Noor et al. 2023
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231
Research works printed but not linked: 4
- Rogers, E.M., Arvind, S., and Margaret, M.Q. (2014). An Integrated Approach to Communication Theory and Research, Routledge.
- Alshehri, M., Steve, D., Thamer, A., and Rayed, A. (2012). The Effects of Website Quality on Adoption of E-Government Service: AnEmpirical Study Applying UTAUT Model Using SEM. arXiv.
- Bonk, C.J. (1998). Electronic Collaborators: Learner-Centered Technologies for Literacy, Apprenticeship, and Discourse, Routledge.
- Priyadarshini, 2020, E-readiness of Senior School Learners to Online Learning Transition amid COVID-19 Lockdown, Asian J. Distance Educ., 15, 244
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AI‐driven adaptive learning for sustainable educational transformation
Strielkowski, W., Grebennikova, V., Lisovskiy, A., Rakhimova, G., & Vasileva, T. (2025) · Sustainable Development · doi:10.1002/sd.3221 · Cited by 581
Key factors influencing educational technology adoption in higher education: A systematic review
Feng, J., Yu, B., Tan, W. H., Dai, Z., & Li, Z. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000764 · Cited by 132
Ndibalema, P. M. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2452085 · Cited by 130
An analysis of E-learning system challenges in engineering education: an empirical study
Matarneh, S. T., AlQaraleh, L., Alkhrissat, T., & Abdel-Jaber, M. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2445967 · Cited by 37
Sasongko, A. T., Ekhsan, M., & Fatchan, M. (2025) · Telematics and Informatics Reports · doi:10.1016/j.teler.2025.100192 · Cited by 28
Metadata
- Authors
- Ahmad, S., Mohd Noor, A. S., Alwan, A. A., Gulzar, Y., Khan, W. Z., & Reegu, F. A.
- Affiliations
- Universiti Malaysia Terengganu (MY)
- Department of Computer Science, School of Informatics Applied Mathematics, Universiti Malaysia Terengganu (UMT), Kuala Terengganu 21300, Malaysia
- Ramapo College (US)
- King Faisal University (SA)
- University of Wah (PK)
- Jazan University (SA)
- Corresponding author
- Ahmad, Shakeel
- Gulzar, Yonis
- ORCID
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2023-04-04
- Volume
- 15
- Issue
- 7
- Pages
- 6190
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4362558027
- Cited by
- 95
- References
- 91
- Citations by year
- 2026: 22 · 2025: 37 · 2024: 24 · 2023: 12
- FWCI
- 24.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia (GRANT3,142)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- technology acceptance, higher education, online learning, digital competence of teachers, institutional readiness, technical support, online course quality, self-efficacy, digital divide, educational technology infrastructure
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