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Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors
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“Earlier studies, according to Abdullah and Ward [84,85], found that PE had a substantial impact on the PEOU and PU for e-learning.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“Moreover, Abdullah and Ward [85] reported a substantial and optimistic relationship between PE and PEOU for e-learning in eight out of eleven research studies.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
In the citing paper
“Perceived enjoyment is essential in assessing the adoption of e-learning.”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
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“The same is true between PE and PU, as is evident from eight out of eight studies (100%).”
From Acceptance of e-learning in higher education: the role of task-technology fit with the information systems success model (2023) · cites this paper as [85]
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Deshpande, Y. D., Bhattacharya, S., & Yammiyavar, P. G. (2012) · doi:10.1109/ihci.2012.6481776 · Cited by 11
Factors Influencing The Use of E-Class
Hidayanto, A. N., Febriawan, D., Sucahyo, Y. G., & Purwandari, B. (2014) · Journal of Industrial and Intelligent Information · doi:10.12720/jiii.2.2.121-125 · Cited by 9
German e-Science Conference 2007
Maschuw, R., Mehlhorn, K., & Rectors, G. (2007) · Cited by 8
Hosseini, S. A., Bathaei, S. M., & Mohammadzadeh, S. (2014) · Kuwait Chapter of Arabian Journal of Business and Management Review · doi:10.12816/0018687 · Cited by 7
Communication Technologies and Virtual Learning Environment (VLE) in Teaching Literature
Hayati, D., & Hashemy, S. A. (2013) · International Journal of Innovation Management and Technology · doi:10.7763/ijimt.2013.v4.387 · Cited by 7
Student engagement with an ePortfolio : a case study of pre-service education students
Emmett, D. (2011) · Faculty of Education · Cited by 6
Analyzing trends in technology acceptance studies in education domain
Imtiaz, M. A., & Mirhashemi, M. T. (2013) · International Conference on Current Trends in Information Technology (CTIT) · doi:10.1109/ctit.2013.6749472 · Cited by 6
Yang, S.-Y., Fang, H., Chen, C., & Li, H.-A. (2011) · Energy Procedia · doi:10.1016/j.egypro.2011.11.459 · Cited by 3
Seif, M. H., Rastegar, A., Javad, S. M. S., Ardakani, H., & Saeedikiya, M. (2013) · Cited by 1
Flagged first, then by citations
2 of the 146 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Bhatiasevi, 2011, Acceptance of e-learning for users in higher education: an extension of the technology acceptance model, The Social Sciences, 6, 513
- Hsu, 2013, Vol. 3(4), 211
- Lin, 2010, Understanding college students' continuing intentions to use multimedia e-learning systems, World Transactions on Engineering and Technology Education, 8, 488
- Shen, 2010, Exploring users' attitudes and intentions toward the interactive whiteboard technology environment, International Review on Computers and Software, 5, 200
Cited by
Sorted by citations
Scherer, R., Siddiq, F., & Tondeur, J. (2019) · Computers & Education · doi:10.1016/j.compedu.2018.09.009 · Cited by 1,923
“The selection of external variables comprised subjective norms, computer self-e ffi cacy, and facilitating conditions — three of the most prominent predictors of PEU and PU (Abdullah & Ward, 2016; Baydas & Goktas, 2017).”
BackgroundMethodResultInfluentialEvaluating E-learning systems success: An empirical study
Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.08.004 · Cited by 1,350
“Based on the literature study conducted by Abdullah and Ward (2016), the five most used external factors by researchers and confirmed to have a relationship with TAM in the context of e-learning are self-efficacy, subjective norm, enjoyment, computer anxiety, and prior experience. According to the review study conduct…”
BackgroundMethodInfluentialCollege students’ use and acceptance of emergency online learning due to COVID-19
Patricia Aguilera-Hermida, A. (2020) · International Journal of Educational Research Open · doi:10.1016/j.ijedro.2020.100011 · Cited by 1,286
“The findings from this study confirm previous literature saying that students who are confident in applying a variety of self-regulated strategies are more likely to accomplish their academic tasks ( Abdullah & Ward, 2016 ; Alghamdi et al., 2020 ).”
Almaiah, M. A., Al-Khasawneh, A. M., & Althunibat, A. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10219-y · Cited by 1,210
“Abdullah and Ward (2016) also investigated factors influencing e-learning acceptance using TAM.”
BackgroundTechnology acceptance model in educational context: A systematic literature review
Granić, A., & Marangunić, N. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12864 · Cited by 1,204
Metadata
- Authors
- Abdullah, F., & Ward, R.
- Affiliations
- University of Huddersfield (GB)
- Corresponding author
- Abdullah, Fazil
- ORCID
- Ward, Rupert
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 56
- Pages
- 238-256
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2214098284
- Cited by
- 986
- References
- 146
- Citations by year
- 2026: 67 · 2025: 88 · 2024: 113 · 2023: 155 · 2022: 157 · 2021: 163 · 2020: 96 · 2019: 76 · 2018: 39 · 2017: 22 · 2016: 10
- FWCI
- 46.53
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.hud.ac.uk
- Locations
- Computers in Human Behavior (publishedVersion)
- University of Huddersfield Repository (University of Huddersfield) (submittedVersion)
- Huddersfield Research Portal (University of Huddersfield) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- technology acceptance model, e-learning adoption, extended technology acceptance model, self-efficacy, subjective norms, enjoyment, computer anxiety, user experience, perceived ease of use, perceived usefulness, external factors, student acceptance of technology
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