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Keyword Network Analysis of Trends in Research on Climate Change Education
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키워드 네트워크 분석을 활용한 기후변화 교육 관련 연구동향 분석

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Type
Academic journal
Author
Kim Soon Shik (부산교육대학교) Lee Sang Gyun (경상남도교육청)
Journal
대한지구과학교육학회 대한지구과학교육학회지 대한지구과학교육학회지 제13권 제3호 KCI Accredited Journals
Published
2020.1
Pages
226 - 237 (12page)

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Keyword Network Analysis of Trends in Research on Climate Change Education
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Abstract· Keywords

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The purpose of the research is to analyze research trends related to climate change education by network analysis based on keywords extracted from the research title. For this purpose, 62 papers were selected from Korean Citation Index(KCI) journals published from 2011 to 2020 using such keywords as "climate change" and "climate change education" in the Research Information Sharing Service. The analysis procedure consisted of selection of analysis papers, keyword extraction and purification, and keyword network analysis and visualization. Textom, Ucinet 6.0, and NetDraw were used to analyze the frequency, degree centrality, and betweenness centrality. The results of the research showed that, first, Early ‘Energy and Climate Change Education’ had the highest frequency of papers examining climate change education. Second, the keywords/phrases that appeared most frequently in research on climate change education were "program" "energy," "analysis," "elementary school," "elementary school," "elementary school students," "development," and "impact." Third, the analysis of the centrality of betweenness centrality showed that the index of 'program', 'primary students' and 'primary schools' were the highest, and the largest group was 'development and effect of teaching and learning programs'. Based on these results, it was concluded that future research on climate change education needs to be examined in further detail and expanded into more specific areas.

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