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ORIGINAL ARTICLE

언어 네트워크 분석을 이용한 과학의 본성에 관한 국내연구 동향

원문정보

Research Trends of Studies Related to the Nature of Science in Korea Using Semantic Network Analysis

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초록

영어

The purpose of this study is to examine Korean journals related to science education in order to analyze research trends into Nature of science in Korea. The subject of the study is the level of Korean Citation Index (KCI-listed, KCI listing candidates), that can be searched by the key phrase, "Nature of science" in Korean language through the RISS service. In this study, the Descriptive Statistical Analysis Method is utilized to discover the number of research articles, classifying them by year and by journal. Also, the Sementic Network Analysis was conducted to Word Cloud Analysis the frequency of key words, Centrality Analysis, co-occurrence and Cluster Dendrogram Analysis throughout a variety of research articles. The results show that 91 research papers were published in 25 journals from 1991 to 2015. Specifically, the 2 major journals published more than 50% of the total papers. In relation to research fields., In addition, key phrases, such as 'Analysis', 'recognition', 'lessons', 'science textbook', 'History of Science' and 'influence' are the most frequently used among the research studies. Finally, there are small language networks that appear concurrently as below: [Nature of science - high school student - recognize], [Explicit – lesson - effect], [elementary school - science textbook - analysis]. Research topic have been gradually diversified. However, many studies still put their focus on analysis and research aspects, and there have been little research on the Teaching and learning methods.

목차

ABSTRACT
 Ⅰ. 서론
 Ⅱ. 연구 방법
  1. 연구 대상
  2. 자료 처리 및 분석 방법
 Ⅲ. 연구 결과 및 논의
  1. 전체적인 연구 동향 분석 결과
  2. 5년 단위 연구동향 분석
 Ⅳ. 결론 및 제언
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저자정보

  • 이상균 Lee Sang-Gyun. 안청초등학교

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