Holon Embedded Self-propagating Instructional System

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For learner-centered learning, it is difficult for learner to arrange knowledge systematically. The knowledge tends to be fragmentary while understanding of the learner is insufficient. We propose a system to build systematic knowledge classifying fragmentary knowledge depending on their size and connecting them hierarchically with self- organizing algorithm. We designed data structure for visualization of linkage among fragmentary knowledge, and implemented user interface to edit them. Experimental surveys were performed on the students attending a lecture at a university.