2015 | OriginalPaper | Buchkapitel
Lesson Discovery Support Based on Generalization of Historical Events
verfasst von : Tomoko Kojiri, Yusuke Nogami, Kazuhisa Seta
Erschienen in: Artificial Intelligence in Education
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Historical events include lessons of good and bad behaviors of human beings that can be readily applied to the modern world. To discover these lessons, one must generalize the basic attributes of multiple historical events, so that one can perceive the underlying patterns that commonly occur. This paper proposes a novel scheme for uncovering the typical patterns that emerge from multiple historical events by generalizing historical characters. We then construct a learning system that supports the generalization and discovery of common patterns based on the proposed scheme.