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eLearning Acceptance and Adoption Challenges in Higher Education
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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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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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