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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Positive attitudes facilitate the adoption of new technology.
“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]
Psychological factors have been identified previously to play a critical role in shaping attitudes toward the adoption of new technologies.
“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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Cites
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
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941 · see citing works
(1980) · Medical Entomology and Zoology · Cited by 25,810 · see citing works
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066 · see citing works
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057 · see citing works
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664 · see citing works
Computer Self-Efficacy: Development of a Measure and Initial Test
Compeau, D. R., & Higgins, C. A. (1995) · MIS Quarterly · doi:10.2307/249688 · Cited by 6,553 · see citing works
Interpretation of the correlation coefficient: A basic review
Taylor, R. (1990) · Journal of Diagnostic Medical Sonography · doi:10.1177/875647939000600106 · Cited by 2,390 · see citing works
e-Learning, online learning, and distance learning environments: Are they the same?
Moore, J. L., Dickson-Deane, C., & Galyen, K. (2011) · The Internet and Higher Education · doi:10.1016/j.iheduc.2010.10.001 · Cited by 2,042 · see citing works
Why do people play on-line games? An extended TAM with social influences and flow experience
Hsu, C., & Lu, H. (2003) · Information & Management · doi:10.1016/j.im.2003.08.014 · Cited by 2,016 · see citing works
Scherer, R., Siddiq, F., & Tondeur, J. (2019) · Computers & Education · doi:10.1016/j.compedu.2018.09.009 · Cited by 1,923 · see citing works
Park, S. Y. (2009) · Educational Technology & Society · Cited by 1,385 · see citing works
Learner readiness for online learning: Scale development and student perceptions
Hung, M.-L., Chou, C., Chen, C.-H., & Own, Z.-Y. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.05.004 · Cited by 1,066 · see citing works
The Journal of Internet Banking and Commerce
(2016) · The Journal of Internet Banking and Commerce · doi:10.4172/1204-5357 · Cited by 925 · see citing works
Does the technology acceptance model predict actual use? A systematic literature review
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2009.11.005 · Cited by 851 · see citing works
Liu, I.-F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.09.009 · Cited by 741 · see citing works
Gender differences in computer-related attitudes and behavior: A meta-analysis
Whitley, B. E. (1997) · Computers in Human Behavior · doi:10.1016/s0747-5632(96)00026-x · Cited by 613 · see citing works
Gender, Internet and computer attitudes and experiences
Schumacher, P., & Morahan-Martin, J. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00032-7 · Cited by 592 · see citing works
Holden, H., & Rada, R. (2011) · Journal of Research on Technology in Education · doi:10.1080/15391523.2011.10782576 · Cited by 584 · see citing works
User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model
Lee, D. Y., & Lehto, M. R. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.001 · Cited by 565 · see citing works
Teo, T. P., & Noyes, J. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.03.002 · Cited by 543 · see citing works
Meléndez, A. P., Obra, A. R. D. Á., & Garrido‐Moreno, A. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.12.014 · Cited by 456 · see citing works
Web Acceptance Model (WAM): Moderating effects of user experience
García, J. A. C., Muñoz‐Leiva, F., & Martínez, T. L. (2007) · Information & Management · doi:10.1016/j.im.2007.02.003 · Cited by 400 · see citing works
Mobile-based assessment: Investigating the factors that influence behavioral intention to use
Nikou, S. A., & Economides, A. A. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.02.005 · Cited by 388 · see citing works
User acceptance of information technology
VenkateshViswanath, MorrisMichael, G., DavisGordon, B., & DavisFred, D. (2003) · MIS Quarterly · doi:10.5555/2017197.2017202 · Cited by 365 · see citing works
Pynoo, B., Devolder, P., Tondeur, J., van Braak, J., Duyck, W., & Duyck, P. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.10.005 · Cited by 341 · see citing works
Agudo-Peregrina, Á. F., Hernández-García, Á., & Pascual-Miguel, F. J. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.035 · Cited by 325 · see citing works
Gender differences in e-learning satisfaction
González‐Gómez, F., Guardiola, J., Rodríguez, Ó. M., & Alonso, M. Á. M. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.08.017 · Cited by 305 · see citing works
Tondeur, J., Valcke, M., & van Braak, J. (2008) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2008.00285.x · Cited by 302 · see citing works
Investigating models for preservice teachers’ use of technology to support student-centered learning
Chen, R. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.11.015 · Cited by 301 · see citing works
Tarhini, A., HONE, K. S., & Liu, X. (2014) · Journal of Educational Computing Research · doi:10.2190/ec.51.2.b · Cited by 283 · see citing works
e-Learning continuance intention: Moderating effects of user e-learning experience
Lin, K. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.09.017 · Cited by 277 · see citing works
Lowenthal, P. R., Borup, J., West, R. E., & Archambault, L. (2020) · The Journal of Technology and Teacher Education · doi:10.70725/331114ctnutj · Cited by 265 · see citing works
Measuring Student Perceptions of Blackboard Using the Technology Acceptance Model
Landry, B. J. L., Griffeth, R. W., & Hartman, S. J. (2006) · Decision Sciences Journal of Innovative Education · doi:10.1111/j.1540-4609.2006.00103.x · Cited by 228 · see citing works
Computer based assessment: Gender differences in perceptions and acceptance
Terzis, V., & Economides, A. A. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.06.005 · Cited by 195 · see citing works
Factors Affecting Acceptance and Use of Moodle: An Empirical Study Based on TAM
Šumak, B., Heričko, M., Pušnik, M., & Polančič, G. (2011) · Informatica · Cited by 166 · see citing works
Teo, T. P. (2009) · Journal of Educational Computing Research · doi:10.2190/ec.40.1.d · Cited by 158 · see citing works
Yang, Y., & Wang, X. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.01.015 · Cited by 156 · see citing works
Moran, M., Hawkes, M. L., & El-Gayar, O. (2010) · Journal of Educational Computing Research · doi:10.2190/ec.42.1.d · Cited by 155 · see citing works
Using Online EFL Interaction to Increase Confidence, Motivation, and Ability
Wu, W. V., Yen, L. L., & Marek, M. W. (2011) · Educational Technology & Society · Cited by 138 · see citing works
Age, gender, ethnicity and the digital divide: university students’ use of web‐based instruction
Enoch, Y., & Soker, Z. (2006) · Open Learning The Journal of Open Distance and e-Learning · doi:10.1080/02680510600713045 · Cited by 128 · see citing works
Domains and determinants of university students’ self-perceived computer competence
van Braak, J. P. (2004) · Computers & Education · doi:10.1016/j.compedu.2003.09.006 · Cited by 99 · see citing works
Ariff, M. S. M., Yeow, S., Zakuan, N., Jusoh, A., & Bahari, A. Z. (2012) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2012.09.1210 · Cited by 89 · see citing works
Liu, X. (2009) · Communication Education · doi:10.1080/03634520903431745 · Cited by 88 · see citing works
Koohang, A. A. (2004) · British Journal of Educational Technology · doi:10.1111/j.0007-1013.2004.00418.x · Cited by 84 · see citing works
Weng, C., Tsai, C., & Weng, A. (2015) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1311 · Cited by 75 · see citing works
Basic Japanese Grammar and Conversation e-learning through Skype and Zoom Online Application
Dharma, H. R. C., Asmarani, D., & Dewi, U. P. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.10.055 · Cited by 69 · see citing works
Factors influencing personal computer usage: the gender gap
Teo, T. S. H., & Lim, V. K. G. (1996) · Women in Management Review · doi:10.1108/09649429610148746 · Cited by 68 · see citing works
Chou, C., Wu, H., & Chen, C. (2010) · Computers & Education · doi:10.1016/j.compedu.2010.11.004 · Cited by 66 · see citing works
Shih, H.-F., Chen, S.-H. E., Chen, S.-C., & Wey, S. (2013) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2013.10.442 · Cited by 57 · see citing works
Grit, Growth Mindset, and Deliberate Practice in Online Learning
McClendon, C., Neugebauer, R. M., & King, A. (2017) · Journal of Instructional Research · doi:10.9743/jir.2017.2 · Cited by 55 · see citing works
Factors Affecting University Students' Use of Moodle
Essel, D. D., & Apeanti, W. O. (2016) · International Journal of Information and Communication Technology Education · doi:10.4018/ijicte.2017010102 · Cited by 49 · see citing works
Sayem, A. S. M., Taylor, B. A., McClanachan, M., & Mumtahina, U. (2017) · Acquire (CQUniversity) · Cited by 45 · see citing works
Students' E-Learning Experience through a Synchronous Zoom Web Conference System
Rahayu, D. (2020) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.22236/jer_vol5issue1pp68-79 · Cited by 39 · see citing works
Dauda, Y., Santhapparaj, A. S., Asirvatham, D. A. L., & Raman, M. (2007) · The Journal of Internet Banking and Commerce · Cited by 33 · see citing works
İstifçi, İ. (2016) · Journal of Education and Learning · doi:10.5539/jel.v6n1p113 · Cited by 31 · see citing works
Effects of Collaborative Online Learning on EFL Leaners’ Writing Performance and Self-efficacy
Tai, H.-C. (2016) · English Language Teaching · doi:10.5539/elt.v9n5p119 · Cited by 28 · see citing works
Sheldon, P. (2016) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2016.1164167 · Cited by 27 · see citing works
Alfadda, H. A. (2020) · Arab World English Journal · doi:10.24093/awej/vol11no1.1 · Cited by 20 · see citing works
Self-citationTantiponganant, P., & Laksitamas, P. (2014) · IIAI International Conference on Advanced Applied Informatics (IIAI-AAI) · doi:10.1109/iiai-aai.2014.14 · Cited by 17 · see citing works
Computer Attitudes and Use Among Novice Teachers: The Moderating Effects of School Environment
Teck, W. K., Choo, G. S., Hanafi, H. F., & Osman, R. (2010) · Malaysian Journal of Learning and Instruction · doi:10.32890/mjli.7.2010.7621 · Cited by 11 · see citing works
Fadda, H. A. A. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3581296 · Cited by 10 · see citing works
Technology Tools for Teaching in Higher Education
Ferns, S., Cappon, A., Duff, A., Marshall, A. N., Ryan, B. J., Thompson, B. R., Ferguson, C., Deegan, C., MacMahon, C., McCormick-Brighton, C., et al. (2020) · Cited by 6 · see citing works
Flagged first, then by citations
4 of the 68 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Venkatesh V Davis FD A theoretical extension of technology acceptance model: Four longitudinal field studies Management Science 2000 46 186 204 10.1287/mnsc.46.2.186.11926 · DOI · Paper page
- Wu WCV Hsieh JSC Yang JC Creating an online learning community in a flipped classroom to enhance EFL learners’ oral proficiency Journal of Educational Technology & Society 2017 20 2 142 157
Cited by
Sorted by citations
Liu, G., & Ma, C. (2024) · Innovation in Language Learning and Teaching · doi:10.1080/17501229.2023.2240316 · Cited by 511 · see citing works
Daragmeh, A., Sági, J., & Zéman, Z. (2021) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc7020132 · Cited by 270 · see citing works
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., Lutfi, A., Alrawad, M., Mulhem, A. A. A., Alkhdour, T., et al. (2022) · Electronics · doi:10.3390/electronics11223662 · Cited by 255 · see citing works
Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study
Sallam, M., Salim, N. A., Barakat, M., Al-Mahzoum, K., Al-Tammemi, A. B., Malaeb, D., Hallit, R., & Hallit, S. (2023) · JMIR Medical Education · doi:10.2196/48254 · Cited by 234 · see citing works
“Consistent with the previous evidence, positive attitudes facilitate the adoption of new technology adoption [73,74].”
Xia, Q., Chiu, T. K. F., Chai, C. S., & Xie, K. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13305 · Cited by 203 · see citing works
Zou, M., & Huang, L. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1259531 · Cited by 195 · see citing works
Students' adoption of AI-based teacher-bots (T-bots) for learning in higher education
Pillai, R., Sivathanu, B., Metri, B., & Kaushik, N. (2024) · Information Technology & People · doi:10.1108/itp-02-2021-0152 · Cited by 176 · see citing works
Wang, Y., Wang, Y., Pan, Z., & Ortega-Martín, J. L. (2023) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-023-00750-0 · Cited by 170 · see citing works
Li, K. (2023) · Sustainability · doi:10.3390/su15065221 · Cited by 157 · see citing works
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Moorhouse, B. L., & Kohnke, L. (2021) · RELC Journal · doi:10.1177/00336882211053052 · Cited by 144 · see citing works
Ma, D., Akram, H., & Hua, C. (2024) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v25i3.7703 · Cited by 142 · see citing works
Bailey, D., Almusharraf, N., & Almusharraf, A. M. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-10949-1 · Cited by 141 · see citing works
Rosli, M. S., Saleh, N. S., Md. Ali, A., Abu Bakar, S., & Mohd Tahir, L. (2022) · Sustainability · doi:10.3390/su141811389 · Cited by 126 · see citing works
Wang, S., & Sun, Z. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12895-6 · Cited by 120 · see citing works
Zhou, X., Teng, D., & Al-Samarraie, H. (2024) · Education Sciences · doi:10.3390/educsci14121302 · Cited by 119 · see citing works
“Within the context of AI in education (AIED), perceived usefulness can be seen as the likelihood of students using AI tools based on their belief in their ability to improve academic performance [6]; meanwhile, perceived ease of use is the ease associated with using AI for educational support.”
Elareshi, M., Habes, M., Youssef, E., Salloum, S. A., Alfaisal, R., & Ziani, A. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09236 · Cited by 111 · see citing works
Unlocking future learning: Exploring higher education students' intention to adopt meta-education
Al‐Adwan, A. S., Alsoud, M. A., Li, N., Majali, T., Smedley, J., & Habibi, A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29544 · Cited by 111 · see citing works
Huang, K.-L., Liu, Y., & Dong, M.-Q. (2024) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2024.101508 · Cited by 107 · see citing works
Abuhassna, H., Yahaya, N., Zakaria, M. A. Z. M., Zaid, N. M., Samah, N. A., Awae, F., Chee, K. N., & Alsharif, A. H. (2023) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2023.13.1.1788 · Cited by 104 · see citing works
Zou, C., Ping, L., & Jin, L. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258137 · Cited by 99 · see citing works
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Ofosu‐Ampong, K. (2023) · Journal of Digital Art & Humanities · doi:10.33847/2712-8149.4.2_6 · Cited by 97 · see citing works
Shao, C., Nah, S., Makady, H., & McNealy, J. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2331858 · Cited by 94 · see citing works
Students’ adoption towards behavioral intention of digital learning platform
Songkram, N., Chootongchai, S., Osuwan, H., Chuppunnarat, Y., & Songkram, N. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11637-4 · Cited by 93 · see citing works
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Al-Maroof, R. S., Alhumaid, K. F., Akour, I. A., & Salloum, S. A. (2021) · Data · doi:10.3390/data6050049 · Cited by 91 · see citing works
GPT revolution and digital entrepreneurial intentions
Abaddi, S. (2023) · Journal of Entrepreneurship in Emerging Economies · doi:10.1108/jeee-07-2023-0260 · Cited by 81 · see citing works
Sun, T., Di, K., Hu, J., Shi, Q., & Irfan, M. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.104216 · Cited by 77 · see citing works
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Ren, L., Yang, F., Gu, C., Sun, J. L., & Liu, Y. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1049972 · Cited by 74 · see citing works
Toros, E., Aşıksoy, G., & Sürücü, L. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-02839-3 · Cited by 72 · see citing works
Hsiao, C., & Tang, K. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-13263-0 · Cited by 72 · see citing works
Jiang, M. Y., Jong, M. S., Lau, W. W. F., Meng, Y.-L., Chai, C. S., & Chen, M. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.671615 · Cited by 71 · see citing works
Zou, B., Wang, C., Yan, Y., Du, X., & Ji, Y. (2025) · International Journal of Applied Linguistics · doi:10.1111/ijal.12658 · Cited by 66 · see citing works
Navarro, R., Vega, V., Bayona, H., Bernal, V. M. G., & García, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1227956 · Cited by 63 · see citing works
Al-Nuaimi, M. N., Sawafi, O. S. A., Malik, S. I., & Al-Maroof, R. S. (2022) · Interactive Learning Environments · doi:10.1080/10494820.2022.2127777 · Cited by 56 · see citing works
Using Zoom to Support English Learning during Covid-19 Pandemic: Strengths and Challenges
Mu’awanah, N., Sumardi, S., & Suparno, S. (2021) · Jurnal Ilmiah Sekolah Dasar · doi:10.23887/jisd.v5i2.35006 · Cited by 52 · see citing works
Wang, S., Sun, Z., Wang, H., Yang, D., & Zhang, H. (2025) · The International Journal of Management Education · doi:10.1016/j.ijme.2025.101184 · Cited by 51 · see citing works
Al-Samiri, R. A. (2021) · Arab World English Journal · doi:10.24093/awej/covid.11 · Cited by 51 · see citing works
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García, J. A. M., Gómez, C. G., Tapia, A., & Schlosser, M. J. (2024) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2024.100571 · Cited by 49 · see citing works
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Khlaif, Z. N., Salameh, N., Ajouz, M., Mousa, A., Itmazi, J. A., Alwawi, A. A., & Alkaissi, A. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07416-z · Cited by 48 · see citing works
Chang, H., Park, J., & Suh, J. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11988-y · Cited by 43 · see citing works
Mastour, H., Yousefi, R., & Niroumand, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-90742-5 · Cited by 41 · see citing works
Yan, X., Li, T., & Zhou, Y. (2021) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0001002 · Cited by 41 · see citing works
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Yu, X., Sheng, G., Sun, D., & He, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-64049-w · Cited by 41 · see citing works
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Zhang, D., Hennessy, S., & Pérez-Paredes, P. (2023) · Computer Assisted Language Learning · doi:10.1080/09588221.2023.2189915 · Cited by 37 · see citing works
Kaur, D., & Kaur, R. (2022) · The Bottom Line Managing Library Finances · doi:10.1108/bl-11-2021-0104 · Cited by 37 · see citing works
Fuad, M., Suyanto, E., Sumarno, Muhammad, U. A., & Suparman, S. (2022) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2022.12.10.1710 · Cited by 37 · see citing works
Amaefule, C. O., Breitwieser, J., Biedermann, D., Nobbe, L., Drachsler, H., & Brod, G. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13314 · Cited by 36 · see citing works
Liu, F., Chang, X., Zhu, Q., Huang, Y., Li, Y., & Wang, H. (2024) · BMC Medical Education · doi:10.1186/s12909-024-06232-1 · Cited by 35 · see citing works
Lei, F., & Lei, L. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.831593 · Cited by 35 · see citing works
Modeling factors affecting online learning adoption: mediating role of attitude
Singh, R. S., & Tewari, A. (2021) · International Journal of Educational Management · doi:10.1108/ijem-05-2021-0198 · Cited by 35 · see citing works
An empirical investigation of college students’ acceptance of translation technologies
Li, X., Gao, Z., & Liao, H. (2024) · PLoS ONE · doi:10.1371/journal.pone.0297297 · Cited by 34 · see citing works
Koteczki, R., & Balassa, B. E. (2025) · Education Sciences · doi:10.3390/educsci15081044 · Cited by 34 · see citing works
Гайтан, О. М. (2022) · Information Technologies and Learning Tools · doi:10.33407/itlt.v87i1.4441 · Cited by 34 · see citing works
Teaching with Technology during COVID-19 Pandemic: An Interview Study with Teachers in Indonesia
Rahayu, S., Rahmadani, E., Syafitri, E., Prasetyoningsih, L. S. A., Ubaidillah, M. F., & Tavakoli, M. (2022) · Education Research International · doi:10.1155/2022/7853310 · Cited by 34 · see citing works
Khan, M. S. H., Salele, N., Hasan, M., & Abdou, B. O. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20905 · Cited by 33 · see citing works
Sun, J., Wu, Q., Ma, Z., Zheng, W., & Hu, Y. (2025) · Educational Technology Research and Development · doi:10.1007/s11423-025-10495-w · Cited by 33 · see citing works
Rudolph, J., Tan, S., Crawford, J., & Butler-Henderson, K. A. (2022) · Educational Research for Policy and Practice · doi:10.1007/s10671-022-09325-0 · Cited by 32 · see citing works
Development of UTAUT-based augmented reality acceptance scale: a validity and reliability study
Üstün, A. B., Yılmaz, F. G. K., Yılmaz, R., Ceylan, M., & Uzun, O. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-12321-3 · Cited by 32 · see citing works
Ngo, T. T. A., Vo, T. T. A., & Phan, M. T. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105789 · Cited by 32 · see citing works
Generative artificial intelligence tools for diverse learning styles in design education
Chandrasekera, T., Hosseini, Z., Perera, U., & Hyscher, A. B. (2024) · International Journal of Architectural Computing · doi:10.1177/14780771241287345 · Cited by 31 · see citing works
Liu, Y., Zhao, S., & Zhao, S. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04969-8 · Cited by 30 · see citing works
Niu, X., & Wu, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.967890 · Cited by 29 · see citing works
Nguyen, T. T. T. (2023) · Kybernetes · doi:10.1108/k-07-2022-1023 · Cited by 29 · see citing works
Bessadok, A., & Hersi, M. (2023) · Library Hi Tech · doi:10.1108/lht-03-2023-0124 · Cited by 27 · see citing works
Naeem, M., Jawaid, S. T., & Mustafa, S. (2022) · Journal of Modelling in Management · doi:10.1108/jm2-10-2021-0251 · Cited by 27 · see citing works
López-Sánchez, J. A., Patiño-Vanegas, J. C., Valencia-Arías, A., & Valencia, J. (2023) · Cogent Education · doi:10.1080/2331186x.2023.2288490 · Cited by 27 · see citing works
Cui, Y. (2025) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2025.100391 · Cited by 26 · see citing works
Gong, Y., Xu, C., Luo, S., & Lin, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-03298-9 · Cited by 26 · see citing works
Erdmann, A., Mas, J. M., & de Obesso, M. D. L. M. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113645 · Cited by 26 · see citing works
Xing, H., & Wen, G. J. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13505-9 · Cited by 25 · see citing works
Gu, C., Sun, J. L., Chen, T., Miao, W., Yang, Y., Lin, S., & Chen, J. (2022) · Journal of Intelligence · doi:10.3390/jintelligence10030040 · Cited by 25 · see citing works
Man, S. S., Fang, Y., Chan, A. H. S., & Han, J. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12969-5 · Cited by 24 · see citing works
Khan, F. M., Singh, N., Gupta, Y., Kaur, J., Banik, S., & Gupta, S. (2022) · Vision The Journal of Business Perspective · doi:10.1177/09722629221101159 · Cited by 24 · see citing works
A bibliometric analysis of linguistic research on COVID-19
Peng, Z., & Hu, Z. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1005487 · Cited by 24 · see citing works
Self-Efficacy and Digital Anxiety and their Influence on Virtual Educational Performance
Iraola-Real, I., Vasquez, C., Diaz-Leon, I., & Iraola-Arroyo, A. (2023) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v18i09.36183 · Cited by 24 · see citing works
Tawafak, R. M., Al-Obaydi, L. H., Klímová, B., & Pikhart, M. (2023) · Contemporary Educational Technology · doi:10.30935/cedtech/13454 · Cited by 24 · see citing works
Theoretical Models for Acceptance of Human Implantable Technologies: A Narrative Review
Chaudry, B., Shafeie, S., & Mohamed, M. A. (2023) · Informatics · doi:10.3390/informatics10030069 · Cited by 24 · see citing works
Afzal, M., Ansari, M. S., Ahmad, N., Shahid, M., & Shoeb, M. (2024) · Journal of Financial Services Marketing · doi:10.1057/s41264-024-00279-3 · Cited by 23 · see citing works
Chen, T., Fu, X., Hensher, D. A., Li, Z., & Sze, N. N. (2022) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2022.102823 · Cited by 23 · see citing works
Terblanche, W., Lubbe, I., Papageorgiou, E., & van der Merwe, N. (2022) · South African Journal of Accounting Research · doi:10.1080/10291954.2022.2101328 · Cited by 23 · see citing works
Georgiou, D., Trikoili, A., & Liesbeth Kester, A. (2023) · Computers and Education Open · doi:10.1016/j.caeo.2023.100145 · Cited by 23 · see citing works
Abdelwahed, N. A. A., Doghan, M. A. A., Saraih, U. N., & Soomro, B. A. (2024) · Kybernetes · doi:10.1108/k-09-2023-1655 · Cited by 22 · see citing works
Gao, M., Zhang, H., Dong, Y., & Li, J. (2025) · Educational Studies · doi:10.1080/03055698.2025.2483831 · Cited by 20 · see citing works
Video demonstrations can predict the intention to use digital learning technologies
Sprenger, D. A., & Schwaninger, A. (2023) · British Journal of Educational Technology · doi:10.1111/bjet.13298 · Cited by 20 · see citing works
Technology Acceptance Model: the use of E-Study Aplications in E-Learning
Sefriani, R., Zefriyenni, & Sepriana, R. (2022) · Journal of Education Technology · doi:10.23887/jet.v6i4.45457 · Cited by 20 · see citing works
Mondal, S., & Hasan, A. A.-T. (2023) · South Asian Journal of Marketing · doi:10.1108/sajm-01-2023-0001 · Cited by 20 · see citing works
Continuance intention to use self-delivery boxes: An empirical study in Tianjin, China
Wu, R., & Li, P. (2022) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103152 · Cited by 19 · see citing works
Budiarto, M. K., Gunarhadi, G., & Rahman, A. (2024) · Journal of Education and Learning (EduLearn) · doi:10.11591/edulearn.v18i2.20976 · Cited by 19 · see citing works
Ng, J., Tong, M., Tsang, E. Y. M., Chu, K., & Tsang, W. (2025) · SN Computer Science · doi:10.1007/s42979-025-04010-4 · Cited by 18 · see citing works
AI Chatbots in E-Commerce: Enhancing Customer Engagement, Satisfaction and Loyalty
Vebrianti, R., Aras, M., Putri, M. S. S., & Swandewi, I. A. (2025) · PaperASIA · doi:10.59953/paperasia.v41i2b.445 · Cited by 18 · see citing works
Xu, B. (2024) · Language Teaching Research · doi:10.1177/13621688241277911 · Cited by 18 · see citing works
Orhan, A., Yıldız, T. A., & Yağcı, Ş. Ç. (2024) · Journal of Research on Technology in Education · doi:10.1080/15391523.2024.2437744 · Cited by 18 · see citing works
Kim, J., & Moon, J. (2025) · SAGE Open · doi:10.1177/21582440251320173 · Cited by 18 · see citing works
Howlader, M. H., Tohan, M. M., Zaman, S., Chanda, S. K., Jiaxin, G., & Rahman, M. A. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2504224 · Cited by 18 · see citing works
Zoom Application Acceptance in Online Learning: An Analysis with the Technology Acceptance Model
Wedari, L. K., Fatihah, A. N., & Rusmanto, T. (2022) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2022.12.9.1690 · Cited by 18 · see citing works
Children's Future Adversity: Learning Loss Risk during Online Learning in Covid-19 Pandemic
UIN Sunan Kalijaga, I., Suyadi, S., Selvi, I. D., UIN Sunan Kalijaga, I., Sibawaihi, S., UIN Sunan Kalijaga, I., Zahroh, U., UIN Sayyid Ali Rahmatullah Tulungagung, I., Muassomah, M., & UIN Maulana Malik Ibrahim, I. (2023) · International Journal of Instruction · doi:10.29333/iji.2023.16225a · Cited by 18 · see citing works
Almusharraf, A. M., & Bailey, D. (2023) · Computer Assisted Language Learning · doi:10.1080/09588221.2023.2275141 · Cited by 18 · see citing works
- 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
- Physical Sciences › Computer Science › Information Systems › 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
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