Interactive System for Collaborative Historical Analogy

Supporting learning history has become an important topic in education research. To discuss social issues using historical analogy, group learning composed of two pairs is effective. In this paper, we propose a novel interactive system for collaborative historical analogy. This system first provides news articles to users from our database. Then, it uses a clustering algorithm that makes groups from what the users assign event categories for news articles. After assessing the result of the clustering algorithm, our system provides two functions for promoting collaborative learning: discussion spaces and archiving the discussions. The results of quantitative and qualitative evaluation show that our system have the potential to enhance group discussion and collaborative historical analogy in class.

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