Acceptance of mobile-assisted engineering vocabulary learning by military students
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-023-11932-0.pdf
Reference130 articles.
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2. Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolio. Computers in Human Behaviour, 63, 75–90. https://doi.org/10.1016/j.chb.2016.05.014.
3. Agag, G., & El-Masry, A. A. (2016). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in Human Behavior, 60, 97–111. https://doi.org/10.1016/j.chb.2016.02.038.
4. Akman, I., & Turhan, C. (2017). User acceptance of social learning systems in higher education: An application of the extended Technology Acceptance Model. Innovations in Education and Teaching International, 54(3), 229–237. https://doi.org/10.1080/14703297.2015.1093426.
5. Al-Rahmi, W. M., Yahaya, N., Alamri, M. M., Alyoussef, I. Y., Al-Rahmi, A. M., & Kamin, Y. B. (2019). Integrating innovation diffusion theory with technology acceptance model: Supporting students’ attitude towards using a massive open online courses (MOOCs) systems. Interactive Learning Environments, 1–13. https://doi.org/10.1080/10494820.2019.1629599.
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1. Exploring the impacts of mobile-assisted learning on university students’ technical vocabulary knowledge;International Journal of Educational Research Open;2024-12
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