Critical success factors for e-learning acceptance: Confirmatory factor models
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Learners' attitude towards e-learning and blended learning are success factors for these learning environments.
“Selim, (2007) noted that the learners' attitude towards e-learning and blended learning are success factors for these learning environments.”
From Blended learning effectiveness: the relationship between student characteristics, design features and outcomes (2017) · cites this paper as Selim, (2007)
Learner positive attitudes towards e-and blended learning environments are success factors.
“In agreement with Selim (2007), learner positive attitudes towards e-and blended learning environments are success factors.”
From Blended learning effectiveness: the relationship between student characteristics, design features and outcomes (2017) · cites this paper as Selim (2007)
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- Authors
- Selim, H. M.
- Affiliations
- United Arab Emirates University (AE)
- Corresponding author
- Selim, Hassan M.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2007-09
- Volume
- 49
- Issue
- 2
- Pages
- 396-413
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2164441776
- Cited by
- 1,055
- References
- 35
- Citations by year
- 2026: 15 · 2025: 17 · 2024: 38 · 2023: 63 · 2022: 94 · 2021: 98 · 2020: 78 · 2019: 68 · 2018: 62 · 2017: 50 · 2016: 70 · 2015: 61 · 2014: 77 · 2013: 64 · 2012: 57
- FWCI
- 30.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Education (publishedVersion)
- Funders
- Utah Agricultural Experiment Station
- Topics
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Education › Technology-Enhanced Education Studies
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- online learning, success factors, technology acceptance, university students, instructor support, student support, information technology, university support, online course design, factor structure
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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.
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