빅데이터를 활용한 중학생 진로 관련 연구 동향의 분석적 연구 (Analysis Study of Research Trends Related to Middle School Students’ Careers Using Big Data)

서지정보

· 발행기관 : 한국수산해양교육학회
· 수록지 정보 : 수산해양교육연구 / 34권 / 4호 / 551 ~ 560페이지
· 저자명 : 하주영, 강버들

초록

The purpose of this study is to analyze career-related research trends for middle school students by using text mining and keyword network analysis, which are two of the big data research methods. And it has significance in obtaining implications for future career-related research for middle school students. For this purpose, 451 journal papers related to 'middle school student career' published in domestic academic journals for about 20 years from 2000 to recent years were analyzed. In order to understand the flow of research trends, it is divided into 1st period (2000-2005), 2nd period (2006-2010), 3rd period (2011-2015), and 4th period (2016-2021). Keyword trend analysis and structural shape analysis of keyword network were conducted. As a result of the study, the conclusions were as follows. First, over the past 20 years, the number of papers published in journals related to the career path of middle school students has shown a steady increase as the year increases, and the quantitative increase of research has been clearly revealed starting from 2015. Second, as a result of analyzing the frequency of keyword appearance, the number of keywords related to the research topic was 337, and the keyword ‘career maturity’ showed the highest frequency. Third, as a result of analyzing the network centrality between keywords, the keyword with the highest connection centrality and betweenness centrality was 'career maturity', and 'career development competency' was the most influential keyword in closeness centrality. Fourth, as a result of comparison by time point, the more recent the frequency of 'career maturity', the more important it was used as a keyword.

영어초록

The purpose of this study is to analyze career-related research trends for middle school students by using text mining and keyword network analysis, which are two of the big data research methods. And it has significance in obtaining implications for future career-related research for middle school students. For this purpose, 451 journal papers related to 'middle school student career' published in domestic academic journals for about 20 years from 2000 to recent years were analyzed. In order to understand the flow of research trends, it is divided into 1st period (2000-2005), 2nd period (2006-2010), 3rd period (2011-2015), and 4th period (2016-2021). Keyword trend analysis and structural shape analysis of keyword network were conducted. As a result of the study, the conclusions were as follows. First, over the past 20 years, the number of papers published in journals related to the career path of middle school students has shown a steady increase as the year increases, and the quantitative increase of research has been clearly revealed starting from 2015. Second, as a result of analyzing the frequency of keyword appearance, the number of keywords related to the research topic was 337, and the keyword ‘career maturity’ showed the highest frequency. Third, as a result of analyzing the network centrality between keywords, the keyword with the highest connection centrality and betweenness centrality was 'career maturity', and 'career development competency' was the most influential keyword in closeness centrality. Fourth, as a result of comparison by time point, the more recent the frequency of 'career maturity', the more important it was used as a keyword.

참고자료

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