文章基本信息

标题：Mining Diagnostic Assessment Data for Concept Similarity
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作者：Tara Madhyastha ; Earl Hunt
期刊名称：Journal of Educational Data Mining
电子版ISSN：2157-2100
出版年度：2009
卷号：1
期号：1
页码：72-91
出版社：International EDM Society
摘要：This paper introduces a method for mining multiple-choice assessment data for similarity of the concepts represented by the multiple choice responses. The resulting similarity matrix can be used to visualize the distance between concepts in a lower-dimensional space. This gives an instructor a visualization of the relative difficulty of concepts among the students in the class. It may also be used to cluster concepts, to understand unknown responses in the context of previously identified concepts.