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http://dx.doi.org/10.7858/eamj.2018.013

Mathematics Anxiety Analysis using Topological Data Analysis  

Ko, Ho Kyoung (Ajou University)
Park, Seonjeong (Osaka City University)
Publication Information
East Asian mathematical journal / v.34, no.2, 2018 , pp. 177-189 More about this Journal
Abstract
Recently, Topological Data Analysis (TDA) has attracted attention among various techniques for analyzing big data. Mapper algorithm, which is one of TDA techniques, is used to visualize the cluster diagram. In this study, students were clustered according to the characteristics and degree of mathematics anxiety using a mapper, and students were visualized according to mathematics anxiety. In order to do this, Mathematical Anxiety Scale (Ko & Yi, 2011) in the aspect of mathematical instability in terms of teaching - learning, ie, Nature of Mathematics, Learning Strategy, Test/Performance is used. And the number of questions that measure the anxiety of mathematics can be extracted by extracting the most relevant items among the items that measure the anxiety of mathematics.
Keywords
Topological Data Analysis; Big data analysis; Affective domain;
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