Understanding higher education learners' acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach
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The explained variances were higher than in Maican et al. (2019) and Hoi (2020).
“The explained variances were higher than in a study conducted by Maican et al. (2019) on communication and collaboration applications in academic environments, as well as in a study conducted by Hoi (2020) on how the mobile devices are accepted and used for language learning by students.”
From Students’ Acceptance of ChatGPT in Higher Education: An Extended Unified Theory of Acceptance and Use of Technology (2024) · cites this paper as Hoi (2020)
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- Authors
- Hoi, V. N.
- Venue
- Computers & Education
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 146
- Pages
- 103761
- ISSN
- 0360-1315 (ISSN-L)
- OpenAlex
- W2989694933
- Cited by
- 250
- References
- 96
- Citations by year
- 2026: 18 · 2025: 37 · 2024: 50 · 2023: 37 · 2022: 48 · 2021: 40 · 2020: 19 · 2019: 1
- FWCI
- 33.60
- Type
- journal article
- Language
- en
- Open access
- Locations
- Computers & Education (publishedVersion)
- Cross Connect (Southern Cross University) (submittedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Information Systems › English Language Learning and Teaching
- Keywords
- mobile-assisted language learning, technology acceptance, UTAUT, higher education learners, language learning, attitudes, performance expectancy, behavioral intention, facilitating conditions, mobile devices, developing countries, Vietnam
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