Revealing the interplay of cognitive, meta-cognitive, and social processes in university students’ collaborative problem solving: a three-stage analytical framework
Author:
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11412-024-09429-0.pdf
Reference55 articles.
1. Andrews-Todd, J., & Forsyth, C. (2020). Exploring social and cognitive dimensions of collaborative problem solving in an open online simulation-based task. Computers in Human Behavior, 104, 105759. https://doi.org/10.1016/j.chb.2018.10.025
2. An, S., & Zhang, S. (2024). Effects of ability grouping on students’ collaborative problem solving patterns: Evidence from lag sequence analysis and epistemic network analysis. Thinking Skills and Creativity, 51, 101453. https://doi.org/10.1016/j.tsc.2023.101453
3. Avry, S., Molinari, G., Bétrancourt, M., & Chanel, G. (2020). Sharing emotions contributes to regulating collaborative intentions in group problem-solving. Frontiers in Psychology, 11, 1160. https://doi.org/10.3389/fpsyg.2020.01160
4. Bada, S. O., & Olusegun, S. (2015). Constructivism learning theory: A paradigm for teaching and learning. Journal of Research & Method in Education, 5(6), 66–70.
5. Baker, K., Greenberg, S., & Gutwin, C. (2001). Heuristic evaluation of groupware based on the mechanics of collaboration. In IFIP International Conference on Engineering for Human-Computer Interaction (pp. 123–139). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-45348-2_14
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