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We can observe various kinds of interaction among members of a learning group during a collaborative learning session. It is difficult for even human users to analyze them in order to clarify what types of collaboration have occurred in the session and what educational benefits have been expected for the members through the session. So, we propose an interaction analysis support system that helps users to abstract the essence of interaction from raw protocol data, and to understand what types of collaboration have occurred in the session, and then infers educational benefits expected to be gained by the members through the interaction process.
Date of Conference: 3-6 Dec. 2002