Investigating Undergraduates’ Online Engagement Behaviors Predictors: The role of Multiple Screen Addictions, Motivation, Academic Success and Autonomous Learning

Author:

Yildiz Durak HaticeORCID,Hopcan SinanORCID,Polat ElifORCID,ÖZÜDOĞRU GülORCID,Atman Uslu NilüferORCID

Publisher

Springer Science and Business Media LLC

Reference115 articles.

1. Abuhassna, H., Al-Rahmi, W. M., Yahya, N., Zakaria, M. A. Z. M., Kosnin, A. B. M., & Darwish, M. (2020). Development of a new model on utilizing online learning platforms to improve students’ academic achievements and satisfaction. International Journal of Educational Technology in Higher Education, 17, 1–23. https://doi.org/10.1186/s41239-020-00216-z.

2. Afthanorhan, W. M. A. B. W. (2013). A comparison of partial least square structural equation modeling (PLS-SEM) and covariance based structural equation modeling (CB-SEM) for confirmatory factor analysis. International Journal of Engineering Science and Innovative Technology, 2(5), 198–205.

3. Albrecht, S. L., Green, C. R., & Marty, A. (2021). Meaningful work, job resources, and employee engagement. Sustainability, 13(7), 4045. https://doi.org/10.3390/su13074045.

4. Alkan, M. F., & Arslan, M. (2019). Learner autonomy of pre-service teachers and its associations with academic motivation and self-efficacy. Malaysian Journal of Learning and Instruction, 16(2), 75–96.

5. Amerstorfer, C. M., & von Freiin, C. (2021). Student perceptions of academic engagement and student-teacher relationships in problem-based learning. Frontiers in Psychology, 12, 4978. https://doi.org/10.3389/fpsyg.2021.713057.

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