Knowledge Co-construction and Initiative in Peer Learning Interactions

  • Authors:
  • Cynthia Kersey;Barbara Di Eugenio;Pamela Jordan;Sandra Katz

  • Affiliations:
  • Department of Computer Science, University of Illinois at Chicago;Department of Computer Science, University of Illinois at Chicago;Learning Research and Development Center, University of Pittsburgh;Learning Research and Development Center, University of Pittsburgh

  • Venue:
  • Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
  • Year:
  • 2009

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Abstract

The aim of the project we discuss in this paper is to develop a computational model of peer learning. We present an extensive analysis of peer learning dialogues, analysis on which our computational model is based. Our model incorporates shifts of initiative as an identifier of knowledge co-construction. We have embedded this model in a peer-learning agent that collaborates with students to solve problems in the domain of computer science data structures.