Developing an argumentation support system for face-to-face collaborative learning

Abstract

In argumentative collaborative learning, learners have to externalize their knowledge and construct one knowledge from their knowledge by an argument. Although the quality of the argument is much important to enhance the knowledge construction, it is very difficult for learners without enough arguing-skills to achieve such high quality argument. Therefore, we developed a system that promotes utilization of knowledge conducted in preparation into the argument of face-to-face collaborative learning to enhance the quality of the argument in the collaborative learning. Our system judges real-time argument topics from learners' speech texts obtained by a speech recognizer and then makes the learners aware of learning contents associating with the argument topics during the collaborative learning. In our experiment, we confirmed usefulness of the proposed system by comparing with collaborative learning in an environment without a system.