Analysis of Factors Influencing Intention to Engage in Online Learning in Chinese Calligraphy and Their Mediation Effects

Author:

Wu Chih-Hung,You A.-How,Dong Tse-Ping,Liu Chih-Hsing

Publisher

Springer Science and Business Media LLC

Reference42 articles.

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2. Al-Rahmi, W. M., Yahaya, N., Alamri, M. M., Alyoussef, I. Y., Al-Rahmi, A. M., & Kamin, Y. B. (2021). Integrating innovation diffusion theory with technology acceptance model: Supporting students’ attitude towards using a massive open online courses (MOOCs) systems. Interactive Learning Environments, 29(8), 1380–1392. https://doi.org/10.1080/10494820.2019.1629599

3. Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alamri, M. M., Aljarboa, N. A., Alturki, U., & Aljeraiwi, A. A. (2019). Integrating technology acceptance model with innovation diffusion theory: An empirical investigation on students’ intention to use E-learning systems. IEEE Access, 7, 26797–26809. https://doi.org/10.1109/ACCESS.2019.2899368

4. Alshurafat, H., Al Shbail, M. O., Masadeh, W. M., Dahmash, F., & Al-Msiedeen, J. M. (2021). Factors affecting online accounting education during the COVID-19 pandemic: An integrated perspective of social capital theory, the theory of reasoned action and the technology acceptance model. Education and Information Technologies, 26(6), 6995–7013. https://doi.org/10.1007/s10639-021-10550-y

5. Barrett, A. J., Pack, A., & Quaid, E. D. (2021). Understanding learners’ acceptance of high-immersion virtual reality systems: Insights from confirmatory and exploratory PLS-SEM analyses. Computers & Education, 169, 104214. https://doi.org/10.1016/j.compedu.2021.104214

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