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학술논문East Asian Mathematical Journal2018.02 발행KCI 피인용 1

위상수학적 데이터 분석법을 이용한 수학학습 불안 분석 사례

Mathematics Anxiety Analysis using Topological Data Analysis

고호경(아주대학교); 박선정(Osaka City University)

34권 2호, 177~189쪽

초록

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.

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.

발행기관:
영남수학회
DOI:
http://dx.doi.org/10.7858/eamj.2018.013
분류:
수학

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위상수학적 데이터 분석법을 이용한 수학학습 불안 분석 사례 | East Asian Mathematical Journal 2018 | AskLaw | 애스크로 AI