한국과학교육학회지 (Journal of The Korean Association For Science Education)

  • 제36권5호
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  • Pages.791-800
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  • 2016
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  • 1226-5187(pISSN)
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  • 2288-8489(eISSN)
한국과학교육학회 (The Korean Association for Science Education)
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교육대학교 학생들의 '전기' 용어의 연상 단어 및 정의에 대한 네트워크 분석

Network Analysis on Associative Words and Definitions of 'Electricity' Terminology of Education University Students

  • 투고 : 2016.09.23
  • 심사 : 2016.10.27
  • 발행 : 2016.10.31
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초록

이 연구의 목적은 네트워크 분석법을 활용하여 '전기' 용어에 대한 연상 단어 및 정의에 사용한 핵심 단어가 무엇인지 확인하고, 핵심 단어들이 어떻게 활성화되어 인지 구조를 이루는지 알아보는 데 있다. 연구대상은 지방 소재 교육대학교 1학년 대학생 총 83명으로 하였다. 대학생들의 성별과 고등학교 때 물리 과목 이수 여부에 따라 수업 전과 수업 후로 나누어 '전기' 용어에 대한 연상 단어 및 정의를 네트워크 분석하였다. 연구 결과 대학생들이 '전기'하면 가장 많이 떠올리는 단어는 수업 전 '에너지'이고 수업 후에는 '전류', '전자'이다. 그리고 '전기' 정의에 가장 많이 사용한 단어는 수업 전 '에너지', '흐름', '전자'이고 수업 후에는 '전자', '이동', '전하' 이다. '전기' 용어의 연상 단어에는 성별과 고등학교 때 물리 과목 이수 여부에 따라 조금 다른 네트워크 구조를 이루고 있었지만, 수업 후에는 대학생들의 특성에 상관없이 비슷한 네트워크 구조를 보였다. '전기' 용어의 정의에서는 수업 전 성별에 따라서는 비슷한 네트워크 구조를 갖고 있었고, 고등학교 때 물리 과목 이수 여부에 따라서는 조금 다른 네트워크 구조를 보였다. 하지만 수업 후에는 대학생들의 특성에 상관없이 비슷한 네트워크 구조가 나타났다. 끝으로 대학생들의 '전기' 용어에 대한 네트워크 분석 결과에 대한 교육적 시사점을 논의하였다.

This research aimed to identify core words used as associative words and definitions for expressing 'electricity' terminology and to find how core ones are activated to form a cognitive structure, using network analysis. The participants targeted 83 university freshmen students in the University of Education located in suburbs. Depending on their gender, whether or not they completed physics in high school, the associative words and definitions were analyzed using the network method, classifying two sections: before-lesson and after-lesson. The result is as follows: At before-lesson associative words for 'electricity' terminology, a slightly different network construction was revealed based on their two properties. However, after the class, they showed similar network structure irrespective of their distinctive characteristics. When it comes to other 'electricity' definitions, before taking the course, they had similar network connection across the gender but based on physics education status, there appeared subtle differences. Ultimately, after the class they demonstrated similar network structure regardless of their features. In conclusion, this paper suggests educational implications on network analysis, which covers 'electricity' terminology of university students.

키워드

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