Predicting behavioural intention among graduate students in emergency remote teaching: evidence from a transition country
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Education
Link
https://link.springer.com/content/pdf/10.1007/s40692-022-00239-7.pdf
Reference120 articles.
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2. Aguilera-Hermida, A. P. (2020). College students’ use and acceptance of emergency online learning due to COVID-19. International Journal of Educational Research Open. https://doi.org/10.1016/j.ijedro.2020.100011
3. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
4. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
5. Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using machine learning algorithms to predict people’s intention to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach. JMIR Medical Education. https://doi.org/10.2196/24032
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