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Productive group engagement in cognitive activity and metacognitive regulation during collaborative learning: can it explain differences in students’ conceptual understanding?

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Abstract

This paper addresses the nature and significance of productive engagement in cognitive activity and metacognitive regulation in collaborative learning tasks that involve complex scientific knowledge. A situative framework, combining the constructs of social regulation and content processing, provided the theoretical basis for the development of a comprehensive coding scheme for interactive data analysis. An empirical study was conducted with two groups of university students working on two science-learning tasks. It examined the function of metacognitive regulation to control the flow of cognitive activity, and the extent to which group differences in cognitive and metacognitive regulation processes during collaborative learning could explain differences in the groups’ learning outcomes. The findings provide validation of the framework and its derived coding scheme. An example of a way in which a group engages in socially shared metacognitive regulation is presented to demonstrate how the coding scheme was applied to the data. Theoretical and empirical implications of the findings are discussed.

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References

  • Allal, L. (2011). Pedagogy, didactics and the co-regulation of learning: a perspective from the french-language world of educational research. Research Papers in Education, 26(3), 329–336.

    Article  Google Scholar 

  • Azevedo, R. (2009). Theoretical, conceptual, methodological, and instructional issues in reasearch on metacognition and self-regulated learning: a discussion. Metacognition and Learning, 4(1), 87–95.

    Article  Google Scholar 

  • Azevedo, R., Moos, D. C., Johnson, A. M., & Chauncey, A. D. (2010). Measuring cognitive and metacognitive regulatory processes during hypermedia learning: issues and challenges. Educational Psychologist, 45(4), 210–223.

    Article  Google Scholar 

  • Barron, B. (2003). When smart groups fail. The Journal of Learning Sciences, 12(3), 307–359.

    Article  Google Scholar 

  • Chan, C. K. K. (2012). Co-regulation of learning in computer-supported collaborative learning environments: a discussion. Metacognition and Learning, 7(1), 63–73.

    Article  Google Scholar 

  • Curseu, P. L., Schalk, R., & Schruijer, S. (2010). The use of cognitive mapping in eliciting and evaluating group cognitions. Journal of Applied Social Psychology, 40(5), 1258–1291.

    Article  Google Scholar 

  • DeChurch, L. A., & Mesmer-Magnus, J. R. (2010). The cognitive underpinnings of effective teamwork: a meta-anaylsis. Journal of Applied Psychology, 95(1), 32–53.

    Article  Google Scholar 

  • Edmondson, K. M., & Smith, D. F. (1998). Concept mapping to facilitate veterinary students’ understanding of fluid and electrolyte disorders. Teaching and Learning in Medicine, 10(1), 21–33.

    Article  Google Scholar 

  • Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46(1), 6–25.

    Article  Google Scholar 

  • Grau, V., & Whitebread, D. (2012). Self and social regulation of learning during collaborative activities in the classroom: the interplay of individual and group cognition. Learning and Instruction, 22(6), 401–412.

    Article  Google Scholar 

  • Hadwin, A., & Oshige, M. (2011). Self-regulation, coregulation, and socially shared regulation: exploring perspectives of social in self-regulated learning theory. Teachers College Record, 113(2), 240–264.

    Google Scholar 

  • Hadwin, A. F., Järvelä, S., & Miller, M. (2011). Self-regulated, co-regulated, and socially shared regulation of learning. In B. J. Zimmerman, & D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 65–84): Taylor and Francis.

  • Hay, D., Kinchin, I., & Lygo-Baker, S. (2008). Making learning visible: the role of concept mapping in higher education. Studies in Higher Education, 33(3), 295–311.

    Article  Google Scholar 

  • Iiskala, T., Vauras, M., Lehtinen, E., & Salonen, P. (2011). Socially shared metacognition of dyads of pupils in collaborative mathematical problem-solving processes. Learning and Instruction, 21(3), 379–393.

    Article  Google Scholar 

  • Iiskala, T., Lehtinen, E., Volet, S. & Vauras, M. (under review). Studying socially shared metacognitive regulation in asynchronous computer supported collaborative learning: A multi-method approach.

  • Janssen, J., Erkens, G., Kirschner, P. A., & Kanselaar, G. (2010a). Task related and social regulation during online collaborative learning. Metacognition and Learning, 7(1), 25–43.

    Article  Google Scholar 

  • Janssen, J., Kirschner, F., Erkens, G., Kirschner, P. A., & Pass, F. (2010b). Making the black box of collaborative learning tranparent: combining process-oriented and cognitive load approaches. Educational Psychology Review, 22(2), 139–154.

    Article  Google Scholar 

  • Johnson, D. W., & Johnson, R. T. (2009). An educational psychology success story: social interdependence theory and cooperative learning. Educational Researcher, 38(5), 365–379.

    Article  Google Scholar 

  • King, A. (2002). Structuring peer interaction to promote high-level cognitive processing. Theory Into Practice, 41(1), 33–39.

    Article  Google Scholar 

  • Lajoie, S. P., & Lu, J. (2011). Supporting collaboration with technology: does shared cognition lead to co-regulation in medicine? Metacognition and Learning, 7(1), 45–62.

    Article  Google Scholar 

  • McGaghie, W. C., McCrimmon, D. R., Mitchell, G., & Thompson, J. A. (2004). Concept mapping in pulmonary physiology using pathfinder scaling. Advances in Health and Sciences Education, 9, 225–240.

    Article  Google Scholar 

  • Molenaar, I., Roda, C., van Boxtel, C., & Sleegers, P. (2012). Dynamic scaffolding of socially regulated learning in a computer-based learning environment. Computers & Education, 59(2), 515–523.

    Article  Google Scholar 

  • Rogat, T. K., & Linnenbrink-Garcia, L. (2011). Socially shared regulation in collaborative groups: an analysis of the interplay between quality and social regulation and group processes. Cognition and Instruction, 29(4), 375–415.

    Article  Google Scholar 

  • Salonen, P., Vauras, M., & Efklides, A. (2005). Social interaction-what can it tell us about metacognition and coregulation in learning? European Psychologist, 10(3), 199–208.

    Article  Google Scholar 

  • Schmidt, H. J. (2006). Alternative approaches to concept mapping and implications for medical education: commentary on reliability, validity and future research directions. Advances in Health Sciences Education, 11(1), 69–76.

    Article  Google Scholar 

  • Springer, L., Stanne, M. E., & Donovan, S. S. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: a meta-analysis. Review of Educational Research, 69(1), 21–51.

    Article  Google Scholar 

  • Summers, M., & Volet, S. (2010). Group work does not necessarily equal collaborative learning: evidence from observations and self reports. European Journal of Psychology of Education, 25(4), 473–492.

    Article  Google Scholar 

  • Vauras, M., Kinnunen, R., Kajamies, A., & Lehtinen, E. (2013). Interpersonal regulation in instructional interaction: a dynamic systems analysis of scaffolding. In V. Volet (Ed.), Interpersonal regulation of learning and motivation: methodological advances (New perspectives on learning and instruction, pp. 125–146). London: Routledge.

    Google Scholar 

  • Vauras, M., Iiskala, T., Kajamies, A., Kinnunen, R., & Lehtinen, E. (2003). Shared-regulation and motivation of collaborating peers: a case analysis. Psychologia, 46(1), 19–37.

    Article  Google Scholar 

  • Volet, S., & Summers, M. (2013). Interpersonal regulation in collaborative learning activities: reflections on emerging research methodologies. In V. Volet (Ed.), Interpersonal regulation of learning and motivation: methodological advances (New perspectives on learning and instruction, pp. 204–220). London: Routledge.

    Google Scholar 

  • Volet, S., & Vauras, M. (Eds.). (2013). Interpersonal regulation of learning and motivation: methodological advances. New perspectives on learning and instruction. London: Routledge.

    Google Scholar 

  • Volet, S., Summers, M., & Thurman, J. (2009a). High-level co-regulation in collaborative learning: how does it emerge and how is it sustained? Learning and Instruction, 19(2), 128–143.

    Article  Google Scholar 

  • Volet, S., Vauras, M., & Salonen, P. (2009b). Self- and social regulation in learning contexts: an integrative perspective. Educational Psychologist, 44(4), 215–226.

    Article  Google Scholar 

  • Volet, S., Vauras, M., Khosa, D., & Iiskala, T. (2013). Metacognitive regulation in collaborative learning: conceptual developments and methodological contextualisations. In V. Volet (Ed.), Interpersonal regulation of learning and motivation: methodological advances (New perspectives on learning and instruction, pp. 67–101). London: Routledge.

    Google Scholar 

  • Winters, F. I., & Alexander, P. A. (2011). Peer collaboration: the relation of regulatory behaviours to learning with hypermedia. Instructional Science, 39(4), 407–427.

    Article  Google Scholar 

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Acknowledgments

This research was supported under the Australian Research Council’s Discovery Projects funding scheme (project number DP0986867).

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Correspondence to Deep K. Khosa.

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Khosa, D.K., Volet, S.E. Productive group engagement in cognitive activity and metacognitive regulation during collaborative learning: can it explain differences in students’ conceptual understanding?. Metacognition Learning 9, 287–307 (2014). https://doi.org/10.1007/s11409-014-9117-z

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  • DOI: https://doi.org/10.1007/s11409-014-9117-z

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