Partner modeling is mutual

  • Authors:
  • Mirweis Sangin;Nicolas Nova;Gaëlle Molinari;Pierre Dillenbourg

  • Affiliations:
  • Ecole Polytechnique Fédérale de Lausanne, School of Computer and Communication Sciences, CRAFT, Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne, School of Computer and Communication Sciences, CRAFT, Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne, School of Computer and Communication Sciences, CRAFT, Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne, School of Computer and Communication Sciences, CRAFT, Lausanne, Switzerland

  • Venue:
  • CSCL'07 Proceedings of the 8th iternational conference on Computer supported collaborative learning
  • Year:
  • 2007

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Abstract

It has been hypothesized that collaborative learning is related to the cognitive effort made by co-learners to build a shared understanding. The process of constructing this shared understanding requires that each team member builds some kind of representation of the behavior, beliefs, knowledge or intentions of other group members. In two empirical studies, we measured the accuracy of the mutual model, i.e. the difference between what A believes B knows, has done or intends to do and what B actually knows, has done or intends to do. In both studies, we found a significant correlation between the accuracy of A's model of B and the accuracy of B's model of A. This leads us to think that the process of modeling one's partners does not simply reflect individual attitudes or skills but emerges as a property of group interactions. We describe on-going studies that explore these preliminary results.