| Research Trend Analysis in 『Korean Journal of General Education』 Using Semantic Network Analysis |
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Soo-min Lim, Heojeong Yoon, Dami Bang |
| 주제어 네트워크 분석을 통한 『교양교육연구』 동향 분석 |
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임수민, 윤회정, 방담이 |
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| Abstract |
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The purpose of this study was to find out the research trends in the general education field by analyzing the papers published in 『Korean Journal of General Education』, a specialized journal of general education. To this end, we extracted the key words from 720 papers published in the 『Korean Journal of General Education』 from 2011 to recent days, and conducted the word cloud and Semantic network analysis. As a result, 3,999 key words were extracted from 720 papers and the final 1,021 key words were analyzed through filtration. The key word ‘writing’ showed the highest frequency. The key words - writing, university, convergence education, communication ability, and creativity -, showed high value in the degree centrality and betweenness centrality. The writing, university, creativity, speaking and problem solving showed high value in the eigenvector centrality. The results reflected the environment of the general education, including the practice of the required basic liberal arts such as writing, the emphasis on the competencybased curriculum, and the activation of convergence education. Based on the results, this study suggested a way forward for the future of general education research. |
| Key Words:
General education, Research trend, Word cloud analysis, Semantic network analysis |
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