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Measuring Students’ Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM)
Open accessAbstract
The study uses technology acceptance model (TAM) to gain insights into user reactions to the technology adopted for language learning. The study aims to analyze the correlation between the variables of TAM on using Zoom application in language learning, in addition to examining how gender and experience influence the use of technology. The participants of this study comprise of 75 undergraduate English-as-Foreign-Language learners who have studied for their courses online during the COVID-19 pandemic. The results of the study reveal a strong positive correlation between the actual use of Zoom and the students' attitudes and behavioral intention. In addition, there is a positive correlation between computer self-efficacy and other variables (i.e. PU, actual use, PEU, attitude and behavioral intention). Further, while the results reveal that there is no correlation between the gender and any variables of the model, it has been found that experience is positively correlated with the variables of TAM.
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“Consistent with the previous evidence, positive attitudes facilitate the adoption of new technology adoption [73,74].”
From Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study (2023) · cites this paper as [74]
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“These psychological factors have been identified previously to play a critical role in shaping attitudes toward the adoption of new technologies [74,85-87].”
From Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study (2023) · cites this paper as [74]
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Metadata
- Authors
- Alfadda, H. A., & Mahdi, H. S.
- Affiliations
- King Saud University (SA)
- University of Bisha (SA)
- Corresponding author
- Alfadda, Hind Abdulaziz
- Mahdi, Hassan Saleh
- Venue
- Journal of Psycholinguistic Research
- Published
- 2021-01-05
- Volume
- 50
- Issue
- 4
- Pages
- 883-900
- ISSN
- 0090-6905 (ISSN-L)
- 1573-6555
- PMC
- PMC7781650
- OpenAlex
- W3118764021
- Cited by
- 438
- References
- 68
- Citations by year
- 2026: 46 · 2025: 83 · 2024: 79 · 2023: 117 · 2022: 80 · 2021: 33
- FWCI
- 65.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Psycholinguistic Research (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- King Saud University
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › English Language Learning and Teaching
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- Zoom, technology acceptance model, online language learning, English as a foreign language, computer self-efficacy, perceived usefulness, perceived ease of use, user attitudes, behavioral intention, technology use, gender differences, user experience, COVID-19 remote learning
- MeSH terms
- COVID-19, Adult, Attitude to Computers, Female, Humans, Language, Male, Surveys and Questionnaires, Students, Technology, Models, Educational, Education, Distance, Self Efficacy, Intention, Young Adult
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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