Title: An Interaction Analysis Support System for CSCL
Autors: A. Inaba, R. Ohkubo, M. Ikeda and R. Mizoguchi
Reference: Proc. of ICCE2002, 2002 (to appear)
Abstract: We can observe various kinds of interaction among members
of a learning group during 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 essence of interaction from raw
protocol data, and to understand what types of collaboration have been occurred
in the session, and then infers educational benefits expected to be gained by
the members through the interaction process.