Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/4456
Title: Understanding the Connections of Collaborative Problem Solving Skills in a Simulation-based Task Through Network Analysis
Authors: Zhu, Mengxiao
Todd, Jessica Andrews
Issue Date: Jun-2019
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Zhu, M. & Todd, J. A. (2019). Understanding the Connections of Collaborative Problem Solving Skills in a Simulation-based Task Through Network Analysis. In Lund, K., Niccolai, G. P., Lavoué, E., Hmelo-Silver, C., Gweon, G., & Baker, M. (Eds.), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, 13th International Conference on Computer Supported Collaborative Learning (CSCL) 2019, Volume 2 (pp. 565-568). Lyon, France: International Society of the Learning Sciences.
Abstract: As one of the identified key 21st century skills, collaborative problem solving (CPS) attracted attention from both education research and the assessment industry. Studies and assessments were developed to conceptualize and to measure CPS skills. Most studies operationalized different dimensions of CPS skills as discrete measures even though they may be interweaving in the construct. In this study we went beyond the separate measures on the different dimensions and focused on the connections among these skills. Using log data of 20,947 events on actions and chats from 43 teams, we studied how different dimensions of CPS skills were connected as reflected in problem solving. CPS skill networks were constructed to capture the co-occurrence of the skills in turns during collaboration. The results showed that teams with high and low performance had significantly different CPS network structures.
URI: https://doi.dx.org/10.22318/cscl2019.565
https://repository.isls.org//handle/1/4456
Appears in Collections:CSCL 2019

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