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Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model
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This present study aims to investigate factors that impact behavioural intention of university students on e-learning use during the COVID-19 pandemic. An online questionnaire was utilised to gather data from 109 students enrolled in one of the universities in Indonesia. The Technology Acceptance Model (TAM) was the primary framework employed for analysis, in which system quality and e-learning experience were included as external constructs to seek out a much better model to improve the understanding of students’ intention to adopt e-learning. An extended TAM model was developed and tested in this study. The model consists of six constructs: system quality, e-learning experience, perceived ease of use, perceived usefulness, attitude toward use, and behavioural intention. Structural Equation Modelling (SEM) and SMART PLS 3.0 software were applied for data analysis. The findings informed that the proposed model has been succefully explained factors university students use of e-learning during the pandemic in Indonesia. It suggested that attitude toward e-learning use was the most prominent construct to predict university students’ behavioural intention to use e-learning during the pandemic. Finally, this study offers recommendations for future research and practices.
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Cited by
Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11816-3 · Cited by 637
“Previous studies on educational tech - nology adoption indicated that users’ PEU substantially impacted their perception of usefulness (Fussell and Trouong, 2002; Mailizar et al., 2021).”
BackgroundDahri, N. A., Yahaya, N., Al-Rahmi, W. M., Aldraiweesh, A., Alturki, U., Almutairy, S., Shutaleva, A., & Soomro, R. B. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29317 · Cited by 239
“…acceptance in various regions including Germany [50], US [51], Saudi Arabia [52], Pakistan [53], Malaysia [54], Turkey [55], Greece [56], Indonesia [57], South Korea [58], and China [56,57], and across different technology-related domains such as e-learning, remote education, massive open online…”
BackgroundAlyoussef, I. Y. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e13751 · Cited by 181
EXPLORING TEACHERS’ ATTITUDES TOWARDS USING CHATGPT
Iqbal, N., Ahmed, H., & Azhar, K. A. (2022) · Global Journal for Management and Administrative Sciences · doi:10.46568/gjmas.v3i4.163 · Cited by 169
Ma, S., & Lei, L. (2024) · Asia Pacific Journal of Education · doi:10.1080/02188791.2024.2305155 · Cited by 148
Metadata
- Authors
- Mailizar, M., Burg, D., & Maulina, S.
- Venue
- Education and Information Technologies
- Published
- 2021-04-28
- Volume
- 26
- Issue
- 6
- Pages
- 7057-7077
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- OpenAlex
- W3159166245
- Cited by
- 369
- References
- 10
- FWCI
- 57.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
- Funders
- RME Research Center (01032020)
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