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From individual ideation to group knowledge co-construction: Comparison of high- and low performing groups

URI
https://hdl.handle.net/10497/27468
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Type
Conference Paper
Files
 ICCE-2023-256-265.pdf (529.34 KB)
Citation
Chen, W., Su, G., Li, X., Lyu, Q., Su, J., Chai, S. C. A., & Ng, E. E. (2023). From individual ideation to group knowledge co-construction: Comparison of high- and low performing groups. In J.-L. Shih, A. Kashihara, W. Chen, & H. Ogata (Eds.), 31st International Conference on Computers in Education Conference Proceedings (Vol 1, pp. 256-265). Asia-Pacific Society for Computers in Education. https://eds.let.media.kyoto-u.ac.jp/ICCE2023/wp-content/uploads/2023/12/ICCE2023-Proceedings-V1-1214-final.pdf
Author
Chen, Wenli 
•
Su, Guo
•
Li, Xinyi
•
Lyu, Qianru
•
Su, Junzhu
•
Chai, Aileen Siew Cheng
•
Ng, Eng Eng
Abstract

This study compares the high- and low-performing groups’ knowledge co-construction process in the context of computer-supported collaborative argumentation from epistemic, argument, and social perspectives. Product analysis, lag sequential analysis, Sankey diagram visualization, and social network analysis were used to analyze groups’ written argumentation artefacts, on-screen behaviors, and online
interactions. Results show that the high-performing group students demonstrated a higher level of engagement and cognitive elaboration than the low-performing group. The high-performing group was more competent in integrating various argumentation elements than the low-performing group. And the students in the high-performing group tended to contribute equally to their group work. The implications of the findings in designing and implementing knowledge co-construction activities are discussed.

Keywords
  • Knowledge co-construc...

  • Collaborative argumen...

  • Computersupported

  • Collaborative learnin...

Date Issued
2023
ISBN
9786269689019
Dataset
https://doi.org/10.25340/R4/PCASD1
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