Communications of Mathematical Education (한국수학교육학회지시리즈E:수학교육논문집)

Korean Society of Mathematical Education (한국수학교육학회)
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Analysis of trends in mathematics education research using text mining

토픽 모델링 분석을 통한 수학교육 연구 주제 분석

  • Jin, Mireu (Graduate School of Education Ajou University) ;
  • Ko, Ho Kyoung (Department of Mathematics Graduate School of Education Ajou University)
  • Received : 2019.07.24
  • Accepted : 2019.08.02
  • Published : 2019.09.30
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Abstract

In order to understand the recent trends in mathematics education research papers, data mining method was applied to analyze journals of the mathematics education posterior to the year of 2016. Text mining method is useful in the sense that it utilizes statistical approach to understand the linkages and influencing relationship between concepts and deriving the meaning that data shows by visualizing the process. Therefore, this research analyzed the key words largely mentioned in the recent mathematics education journals. Also the correlation between the subjects of mathematics education was deduced by using topic modeling. By using the trend analysis tool it is possible to understand the vital point which researchers consider it as important in recent mathematics education area and at the same time we tried to use it as a fundamental data to decide the upcoming research topic that is worth noticing.

본 연구는 최근 수학교육 연구 논문들의 연구 동향을 파악하기 위하여 2016년 이후의 수학교육 학술지 논문들을 대상으로 텍스트마이닝 기법 중 토픽 모델링과 트랜드 분석 기법을 활용하여 분석을 실시하였다. 분석 결과 빈도수가 높은 단어들을 조합하여 5개의 토픽을 추출하였으며 이를 통해 최근 활발히 이루어지고 있는 수학교육 연구 주제들을 파악할 수 있었다. 이는 다시 기 수행된 동향 연구들과 차이점과 유사한 점들을 도출할 수 있었는데, 이와 같은 동향 분석을 통해 최근 연구자들이 수학교육 연구에서 중요시 여기는 관점을 읽어 나감과 동시에 향후 주목하여야할 연구 주제 및 방향에 대한 시사점을 제공한다.

Keywords

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