Journal of Science Education (과학교육연구지)

Science Education Research Institute Kyungpook National University (경북대학교 과학교육연구소)
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Research Trends in Science Gifted Education from 2011 to 2015: Literature Analysis vs Social Network Analysis

2010년부터 2015년까지 국내 과학영재교육의 연구동향 분석 : 문헌분석 대 사회네트워크분석

  • Received : 2016.10.13
  • Accepted : 2016.12.31
  • Published : 2016.12.30
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Abstract

The study aimed to investigate a research trend in science gifted education of six years from 2010 to 2015 by utilizing literature analysis and Social Network Analysis (SNA) methods. In this study, 275 papers published in eight major academic journals of science education and gifted education were selected as research subjects. First, through the literature analysis, it was found that the most frequent research topics were cognitive characteristics (25.8%), curriculum/programs (22.6%), and social and emotional characteristics (20.2%). For the research method employed in research papers, the survey research (46.5%) was appeared as the most frequently employed method, and followed by experimental (18.8%), program development (10.6%), correlation (10.3%), and qualitative (6.4%) research methods. The most frequent research subject was appeared as middle school students (33.7%) and followed by elementary school (30.6%), and high school (12.7%) students. Second, the SNA method was utilized for producing keyword frequency, degree centrality and network analyses. It was appeared that the most common keywords over six years included 'science gifted', 'gifted education', and 'creativity' and frequent keywords were science gifted, gifted education, gifted, creativity, science inquiry, perception, (creative) problem solving, science high school, scientific attitude, and STEAM. Third, through 2-mode network analysis, it was found that the research papers about cognitive characteristics were mainly related to perceptions, thinking ability, scientific argumentation, science inquiry and so on. It was also found that the research papers about social and emotional characteristics were related to correlation, motivation, creativity-character, self-efficiency and so on. It was concluded that the SNA method can be performed with literature analysis together for better understandings and interpretations of the research trend of science gifted education in-depth.

본 연구는 2010년부터 2015년까지 6년간 과학영재교육의 연구동향을 분석하는데 목적을 두었다. 이를 위해 과학교육 및 영재교육 전문학술지 8종에 게재된 과학영재교육 관련 연구논문 총275편에 대해 문헌분석과 사회네트워크분석(Social Network Analysis: SNA)의 연구방법을 동시에 활용하여 연구동향을 분석하였다. 문헌분석에서는 분석틀로 연구주제, 연구대상, 연구방법의 분류범주를 설정하였으며, SNA방법에서는 논문별 제시된 영문 저자 키워드를 활용하여 연구동향을 분석하였다. 첫째, 문헌분석으로 분석한 결과, 연구주제는 인지적 특성(25.8%), 교육과정/프로그램(22.6%), 사회․정서적 특성(20.2%)의 연구가 많이 이루어지는 것으로 나타났으며, 연구방법에서는 조사연구(46.5%), 실험연구(18.8%), 프로그램 개발(10.6%), 상관연구(10.3%), 질적연구(6.4%)의 순으로 나타났다. 연구대상에서는 중학생 대상연구(33.7%)가 가장 많았고, 초등학생(30.6%), 고등학생(12.7%) 순으로 조사되었다. 둘째, SNA방법으로 분석한 결과, 과학영재교육 연구에서는 science gifted, gifted education, creativity의 3개 키워드를 중심으로 하는 네트워크가 형성되어 있었으며, 가장 빈번히 활용된 키워드는 science gifted, gifted education, gifted, creativity, science inquiry, perception, (creative) problem solving, science high school, scientific attitude, STEAM 으로 조사되었다. 셋째, 주제-키워드 이원모드(2-mode) 네트워크를 분석한 결과, 인지적 특성에 대한 연구는 인식, 사고양식, 과학적 논쟁, 과학탐구 등에 대한 연구가 많이 나타났다. 사회.정서적 특성에 대한 연구는 상관연구, 동기, 창의인성, 자기 효능감 등에 대한 연구가 주로 이루어지고 있는 것으로 나타났다. SNA방법은 연구내용을 구체적으로 분석, 제시함으로써 연구동향을 심층적으로 이해하고 해석할 수 있는 것으로 고찰되었다.

Keywords

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