Exploring Students’ Problem-Solving Challenges in Self-regulated Learning Through Training Video Prompts
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42682-7_38
Reference10 articles.
1. Alderman, M.K., MacDonald, S.: A self-regulatory approach to classroom management: empowering students and teachers. Kappa Delta Pi Record 51(2), 52–56 (2015). https://doi.org/10.1080/00228958.2015.1023145
2. Araka, E., Maina, E., Gitonga, R., Oboko, R.: Research trends in measurement and intervention tools for self-regulated learning for e-learning environments—systematic review (2008–2018). Res. Pract. Technol. Enhanc. Learn. 15, 1–21 (2020). https://doi.org/10.1186/S41039-020-00129-5
3. Cohen, G., et al.: Video-assisted self-regulated learning (SRL) training: COVID-19 Edition. In: Hilliger, I., Muñoz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (eds) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, pp. 59–73 (2022). Springer, Cham. https://doi.org/10.1007/978-3-031-16290-9_5
4. Liu, T., Israel, M.: Uncovering students’ problem-solving processes in game-based learning environments. Comput. Educ. 182, 104462 (2022). https://doi.org/10.1016/j.compedu.2022.104462
5. Molenaar, I., de Mooij, S., Azevedo, R., Bannertd, M., Järveläe, S., Gaševićf, D.: Measuring self-regulated learning and the role of AI: five years of research using multimodal multichannel data. Computers in Human Behavior, 107540 (2022). https://doi.org/10.1016/j.chb.2022.107540
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