Use of E-Learning by University Students in Malaysian Higher Educational Institutions: A Case in Universiti Teknologi Malaysia
Open accessAbstract
This paper examines university students' intention to utilize e-learning. In this paper, we apply and use the theory of a technology acceptance model. We employ the structural equation modeling approach with a SmartPLS software to investigate students' adoption process. Findings indicate that the content of e-learning and self-efficacy has a positive impact and substantially associated with perceived usefulness and student satisfaction, which impact university students' intention to utilize e-learning. Although e-learning has gained acceptance in universities around the world, the study of the intention to use e-learning is still largely unexplored in Malaysia. The developed model is employed to explain the university student's intention to utilize e-learning. The study concludes that university students in Malaysia have positive perceptions toward e-learning and intend to practice it for educational purposes.
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Social media supports e-learning.
“social mass media for e-learning [4]”
From Integrated Three Theories to Develop a Model of Factors Affecting Students' Academic Performance in Higher Education (2019) · cites this paper as [4]
Social media network usage facilitates to build positive relation amid students' educational performance and students' satisfaction.
“In addition, social media network usage facilitates to build positive relation amid students' educational performance and students' satisfaction [3], [4], [18], [43].”
From Integrated Three Theories to Develop a Model of Factors Affecting Students' Academic Performance in Higher Education (2019) · cites this paper as [4]
On-campus students required additional support in using social media for collaboration compared with face-to-face discussions.
“Reasonably, empirical evidence recommended that on-campus students required additional support in using social media for collaboration compared with face-to-face discussions [3], [4], [11], [14], [46].”
From Integrated Three Theories to Develop a Model of Factors Affecting Students' Academic Performance in Higher Education (2019) · cites this paper as [4]
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- Authors
- Al-Rahmi, W. M., Alias, N., Othman, M. S., Alzahrani, A. I., Alfarraj, O., Saged, A. A., & Abdul Rahman, N. S.
- Affiliations
- University of Technology Malaysia (MY)
- King Saud University (SA)
- University of Malaya (MY)
- ORCID
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 14268-14276
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2791192301
- Cited by
- 204
- References
- 42
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 24 · 2023: 34 · 2022: 40 · 2021: 32 · 2020: 38 · 2019: 17 · 2018: 7
- FWCI
- 33.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- UMP Institutional Repository (Universiti Malaysia Pahang) (acceptedVersion)
- The University of Malaya Research Repository (University of Malaya) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Research Management Centre at Universiti Teknologi Malaysia (PY/2015/05399/R.J130000.7826.4F795)
- Deanship of Scientific Research at King Saud University (RG-1438-062)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Technology-Enhanced Education Studies
- Social Sciences › Education › Online and Blended Learning
- Keywords
- e-learning adoption, university students, technology acceptance model, intention to use, perceived usefulness, self-efficacy, student satisfaction, e-learning content, Universiti Teknologi Malaysia, Malaysian higher education
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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