Exploring students' awareness and perceptions: Influencing factors and individual differences driving m-learning adoption
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PU and PEOU were measured with three items each, adapted from Davis (1989) and adapted to ChatGPT uses from Pillai et al. (2023) and Sabah (2016).
“Two major variables of the TAM were measured with three items each (Davis, 1989) and the statements were adapted to the uses of ChatGPT (Pillai et al., 2023; Sabah, 2016).”
From Motivations and Affordances of ChatGPT Usage for College Students’ Learning (2025) · cites this paper as Sabah, 2016
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · see citing works
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664 · see citing works
AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE
MORRIS, M. G., & VENKATESH, V. (2000) · Personnel Psychology · doi:10.1111/j.1744-6570.2000.tb00206.x · Cited by 1,723 · see citing works
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Hoi, V. N. (2020) · Computers & Education · doi:10.1016/j.compedu.2019.103761 · Cited by 250 · see citing works
Motivations and Affordances of ChatGPT Usage for College Students’ Learning
Lee, S. K., Ryu, J., Jie, Y., & Ma, D. H. (2025) · Media and Communication · doi:10.17645/mac.9508 · Cited by 7 · see citing works
“Two major variables of the TAM were measured with three items each (Davis, 1989) and the statements were adapted to the uses of ChatGPT (Pillai et al., 2023; Sabah, 2016).”
- Authors
- Sabah, N. M.
- Affiliations
- Palestine Technical College (PS)
- Corresponding author
- Sabah, Nasser M.
- ORCID
- Sabah, Nasser M.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 65
- Pages
- 522-533
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2519515778
- Cited by
- 157
- References
- 5
- Citations by year
- 2026: 4 · 2025: 15 · 2024: 12 · 2023: 19 · 2022: 19 · 2021: 26 · 2020: 21 · 2019: 22 · 2018: 16 · 2017: 3
- FWCI
- 30.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- mobile learning, mobile learning adoption, technology acceptance, perceived usefulness, perceived ease of use, social influence, individual differences, behavioral intention, students, higher education
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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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