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Exploring collaborative problem solving in virtual laboratories: a perspective of socially shared metacognition

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Abstract

Socially shared metacognition is important for effective collaborative problem solving in virtual laboratory settings, A holistic account of socially shared metacognition in virtual laboratory settings is needed to advance our understanding, but previous studies have only focused on the isolated effect of each dimension on problem solving. This study thus applied learning analytics techniques to develop a comprehensive understanding of socially shared metacognition during collaborative problem solving in virtual laboratories. We manually coded 126 collaborative problem-solving scenarios in a virtual physics laboratory and then employed K-Means clustering analysis to identify patterns of socially shared metacognition. Four clusters were discovered. Statistical analysis was performed to investigate how the clusters were associated with the outcome of collaborative problem solving and also how they related to the difficulty level of problems. The findings of this study provided theoretical implications to advance the understanding of socially shared metacognition in virtual laboratory settings and also practical implications to foster effective collaborative problem solving in those settings.

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Acknowledgements

The authors would like to thank the Concord Consortium, especially Dr. Paul Horwitz and Cynthia McIntyre for supporting this work.

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Authors and Affiliations

  1. Department of Educational Studies, University of South Carolina, Columbia, SC, 29208, USA

    Hengtao Tang

  2. Department of Educational Psychology & Leadership, Texas Tech University, Lubbock, TX, 79409, USA

    Okan Arslan

  3. School of Teaching and Learning, College of Education, University of Florida, Gainesville, FL, 32611, USA

    Wanli Xing

  4. Department of Special Education, Aksaray University, Aksaray, Turkey

    Tugba Kamali-Arslantas

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  1. Hengtao Tang
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Tang, H., Arslan, O., Xing, W. et al. Exploring collaborative problem solving in virtual laboratories: a perspective of socially shared metacognition. J Comput High Educ 35, 296–319 (2023). https://doi.org/10.1007/s12528-022-09318-1

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