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European Journal of Psychology of Education

, Volume 25, Issue 4, pp 473–492 | Cite as

Group work does not necessarily equal collaborative learning: evidence from observations and self-reports

  • Mark Summers
  • Simone Volet
Article

Abstract

Situative and sociocognitive analyses were combined to examine engagement in high-level collaborative learning and its relationship with individuals’ cognitions. Video footage of 53 science university students’ (nine groups) collaborative learning interactions as they worked through a case-based project was analysed in combination with students’ appraisals and reflections on the activity. Sizeable group differences in amount of high-level discussion of learning content were revealed. Individual high-level contributions were positively correlated with overall unit performance. Motivation at task onset predicted amount but not depth of content-related group discussion. Interviews with participants suggested that groups’ divergent patterns of engagement with content could be related to different perceptions of the notion of collaborative learning. Results are discussed in terms of implications for collaborative learning research and educational practice.

Keywords

Collaborative learning Co-regulation Group work Situative perspective Sociocognitive perspective 

Resume

Des perspectives situées et sociocognitives ont été associées pour mieux comprendre l’apprentissage coopératif le plus profitable aux apprenants. Les interactions de 53 étudiants en science ont été filmées pendant qu’ils travaillaient en groupes de 5 ou 6 personnes sur une étude de cas. Ces interactions ont été analysées en relation avec les perceptions et les réflexions des participants. D’importantes différences entre les groupes ont été observées en ce qui concerne leur degré d’engagement en profondeur dans les interactions. Au niveau individuel, l’engagement en profondeur était corrélé positivement avec la performance finale de l’étudiant dans le cours en question. La motivation au début de l’activité a pu prédire la fréquence avec laquelle l’étudiant a participé à des interactions du groupe centrées sur le contenu mais pas le niveau d’engagement en profondeur. Des interviews avec les étudiants ont révélé que les divergences d’engagement en profondeur pourraient être en relation avec leurs interprétations du concept d’apprentissage coopératif. Les résultats de ces analyses suggèrent de nouvelles pistes de recherche à creuser et des idées pratiques pour l’enseignement.

Notes

Acknowledgement

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

References

  1. Allal, L. (2007). Régulations des apprentissages: Orientations conceptuelles pour la recherche et la pratique en éducation. In L. Allal & L. M. Lopez (Eds.), Régulation des apprentissages en situation scolaire et en formation (pp. 7–23). Bruxelles: De Boeck & Larcier.Google Scholar
  2. Andrich, D. (1978). Application of a psychometric rating model to ordered categories which are scored with successive integers. Applied Psychological Measurement, 2(4), 581–594.CrossRefGoogle Scholar
  3. Andrich, D., Sheridan, B., & Luo, G. (2005). Rasch unidimensional measurement models: A windows-based item analysis program employing Rasch models (RUMM2020). Perth: RUMM Laboratory.Google Scholar
  4. Arvaja, M., Salovaara, H., Häkkinen, P., & Järvelä, S. (2007). Combining individual and group-level perspectives for studying collaborative knowledge construction in context. Learning and Instruction, 17, 448–459.CrossRefGoogle Scholar
  5. Barab, S. A., & Kirshner, D. (2001). Methodologies for capturing learner practices occurring as part of dynamic learning environments. Journal of the Learning Sciences, 10(1&2), 5–15.CrossRefGoogle Scholar
  6. Barron, B. (2003). When smart groups fail. The Journal of the Learning Sciences, 12(3), 307–359.CrossRefGoogle Scholar
  7. Biggs, J. (1999). Teaching for quality learning at university: What the student does. Buckingham: Society for Research in Higher Education and Open University.Google Scholar
  8. Binder, C. (1996). Behavioral fluency: Evolution of a new paradigm. The Behavior Analyst, 19(2), 163–197.Google Scholar
  9. Cohen, E. G. (1994). Restructuring the classroom: Conditions for productive small groups. Review of Educational Research, 64(1), 1–35.Google Scholar
  10. Dillenbourg, P. (1999). What do you mean by collaborative learning? In P. Dillenbourg (Ed.), Collaborative learning: Cognitive and computational approaches (pp. 1–19). Oxford: Elsevier.Google Scholar
  11. Dillenbourg, P., Baker, M., Blaye, A., & O'Malley, C. (1996). The evolution of research on collaborative learning. In E. Spada & P. Reiman (Eds.), Learning in humans and machine (pp. 189–211). Oxford: Elsevier.Google Scholar
  12. Efklides, A. (2006). Metacognitive experiences: The missing link in the self-regulated learning process. A rejoinder to Ainley and Patrick. Educational Psychology Review, 18, 287–291.CrossRefGoogle Scholar
  13. Greeno, J. G. (1998). The situativity of knowing, learning and research. American Psychologist, 53(1), 5–26.CrossRefGoogle Scholar
  14. Greeno, J. G. (2006). Learning in activity. In R. Keith (Ed.), The Cambridge handbook of the learning sciences (pp. 79–96). New York: Cambridge University Press.Google Scholar
  15. Greeno, J. G., & van de Sande, C. (2007). Perspectival understanding of conceptions and conceptual growth in interaction. Educational Psychologist, 42(1), 25–40.Google Scholar
  16. Hadwin, A. F., Nesbit, J. C., Jamieson-Noel, D., Code, J., & Winne, P. H. (2007). Examining trace data to explore self-regulated learning. Metacognition Learning, 2, 107–124.CrossRefGoogle Scholar
  17. Hickey, D. T. (2003). Engaged participation versus marginal nonparticipation: A stridently sociocultural approach to achievement motivation. The Elementary School Journal, 103(4), 401–429.CrossRefGoogle Scholar
  18. Hurme, T.-R., Palonen, T., & Jarvela, S. (2006). Metacognition in joint discussions: An analysis of the patterns of interaction and the metacognitive content of the networked discussions in mathematics. Metacognition Learning, 1, 181–200.CrossRefGoogle Scholar
  19. Järvelä, S., & Salovaara, H. (2004). The interplay of motivational goals and cognitive strategies in a new pedagogical culture: A context-oriented and qualitative approach. European Psychologist, 9(4), 232–244.CrossRefGoogle Scholar
  20. Karabenick, S. A., Woolley, M. E., Friedel, J. M., Ammon, B. V., Blazevski, J., Bonney, C. R., et al. (2007). Cognitive processing of self-report items in educational research: Do they think what we mean? Educational Psychologist, 42(3), 139–151.Google Scholar
  21. King, A. (1992). Facilitating elaborative learning through guided student-generated questioning. Educational Psychologist, 27(1), 111–126.CrossRefGoogle Scholar
  22. King, A. (1998). Transactive peer tutoring: Distributing cognition and metacognition. Educational Psychology Review, 10(1), 57–74.CrossRefGoogle Scholar
  23. King, A. (2002). Structuring peer interaction to promote high-level cognitive processing. Theory into Practice, 41(1), 33–39.CrossRefGoogle Scholar
  24. Leinonen, P., Järvelä, S., & Lipponen, L. (2003). The individual students' interpretations of their contribution to the networked collaboration. Journal of Interactive Learning Research, 14(1), 99–122.Google Scholar
  25. Loyens, S. M. M., Rikers, R. M. J. P., & Schmidt, H. G. (2007). Students' conceptions of distinct constructivist assumptions. European Journal of Psychology of Education, 22(2), 179–199.CrossRefGoogle Scholar
  26. McCaslin, M. (2004). Coregulation of opportunity, activity, and identity in student motivation: Elaboration on Vygotskian themes. In D. McInerney & S. V. Etten (Eds.), Big theories revisited (Vol. 4, pp. 249–274). Greenwich: Information age.Google Scholar
  27. McCaslin, M. (2009). Co-regulation of student motivation and emergent identity. Educational Psychologist, 44(2), 137–146.CrossRefGoogle Scholar
  28. Nolen, S. B., & Ward, C. J. (2008). Sociocultural and situative approaches to studying motivation. In M. Maehr, S. Karabenick, & T. Urdan (Eds.), Advances in motivation and achievement: Social psychological perspective on motivation and achievement (Vol. 15, pp. 428–460). London: Emerald Group.Google Scholar
  29. Roschelle, J., & Teasley, S. (1995). The construction of shared knowledge in collaborative problem solving. In C. E. O'Malley (Ed.), Computer supported collaborative learning (pp. 69–97). Heidelberg: Springer.Google Scholar
  30. 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.CrossRefGoogle Scholar
  31. Smith, C. A., & Kirby, L. D. (2009). Putting appraisal in context: Toward a relational model of appraisal and emotion. Cognition & Emotion, 23(7), 1352–1372.CrossRefGoogle Scholar
  32. Turner, J. C., & Patrick, H. (2004). Motivational influences on student participation in classroom learning activities. Teachers College Record, 106(9), 1759–1785.CrossRefGoogle Scholar
  33. van Boxtel, C., van der Linden, J., & Kanselaar, G. (2000). Collaborative learning tasks and the elaboration of conceptual knowledge. Learning and Instruction, 10(4), 311–330.CrossRefGoogle Scholar
  34. Vauras, M., Iiskala, T., Kajamies, A., Kinnunen, R., & Lehtinen, E. (2003). Shared regulation and motivation of collaborating peers: A case analysis. Psychologia, an International Journal of Psychology in the Orient, 46, 19–37.CrossRefGoogle Scholar
  35. Vermunt, J. D. (2004). Patterns in student learning: Relationships between learning strategies, conceptions of learning, and learning orientations. Educational Psychology Review, 16(4), 359–384.Google Scholar
  36. Visschers-Pleijers, A. J. S. F., Dolmans, D. H. J. M., de Leng, B. A., Wolfhagen, I. H. A. P., & van der Vleuten, C. P. M. (2006). Analysis of verbal interactions in tutorial groups: A process study. Medical Education, 40, 129–137.CrossRefGoogle Scholar
  37. Volet, S. E. (2001). Significance of cultural and motivational variables on students' appraisals of group work. In F. Salili, C. Y. Chiu, & Y. Y. Hong (Eds.), Student motivation: The culture and context of learning (pp. 309–334). New York: Plenum.Google Scholar
  38. Volet, S., Vauras, M., & Salonen, P. (2009). Self- and social regulation in learning contexts: An integrative perspective. Educational Psychologist, 44, 215–226.CrossRefGoogle Scholar
  39. Volet, S., Summers, M., & Thurman, J. (2009). High-level co-regulation in collaborative learning: How does it emerge and how is it sustained? Learning and Instruction, 19, 128–143.CrossRefGoogle Scholar

Copyright information

© Instituto Superior de Psicologia Aplicada, Lisboa, Portugal and Springer Science + Business Media BV 2010

Authors and Affiliations

  1. 1.Murdoch UniversityMurdochAustralia

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