Argument Patterns in computer supported cOllaborative LearNIng

Computer supported collaborative learning is a pedagogical approach where learning takes place via social interaction using a computer. Previous research gives grounds to believe that groups of students that are more efficient than others use specific argument typologies in their interaction during the problem solving. Our project aims at collecting the interaction data and applying the existing approaches from computer science that allow to identify argument patterns. This cross fertilisation will be beneficial to both computer scientists and psychologists. On one hand, the human sciences will use the approaches developed in the computer science community in order to identify the argument patterns used by efficient groups. On the other hand, computer sciences will benefit from the real-world data coming from other domains in order to compare and evaluate existing theoretical approaches.

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