Interaction Networks: Generating High Level Hints Based on Network Community Clusterings
作者： Michael Eagle , Tiffany Barnes , Matthew W. Johnson
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摘要: We introduce a novel data structure, the Interaction Network, for representing interaction-data from open problem solving environment tutors. show how using network community detecting techniques are used to identify subgoals in problems logic tutor. then use those structures generate high level hints between subgoals. The preliminary results that analysis promising exploring and understanding user environments.
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