How teachers’ self-regulation, emotions, perceptions, and experiences predict their capacities for learning analytics dashboard: A Bayesian approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-023-12163-z.pdf
Reference96 articles.
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2. Alshalawi, A. S. (2022). The adoption of social media applications for teaching purposes in higher education. Teachers and Teaching, 28(2), 226–245. https://doi.org/10.1080/13540602.2022.2062712
3. Arpaci, I., & Basol, G. (2020). The impact of preservice teachers’ cognitive and technological perceptions on their continuous intention to use flipped classroom. Education and Information Technologies, 25(5), 3503–3514. https://doi.org/10.1007/s10639-020-10104-8
4. Asparouhov, T., & Muthén, B. O. (2021). Advances in Bayesian model fit evaluation for structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 28(1), 1–14. https://doi.org/10.1080/10705511.2020.1764360
5. Badia, A., Garcia, C., & Meneses, J. (2019). Emotions in response to teaching online: Exploring the factors influencing teachers in a fully online university. Innovations in Education and Teaching International, 56(4), 446–457. https://doi.org/10.1080/14703297.2018.1546608
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