미래교육 연구동향 분석을 위한 메타데이터 연구 : 키워드 네트워크 분석을 중심으로

초록

This study aimed to identify future education research trends by using keyword network analysis among metadata studies. To this end, this study collected 308 master’s and doctoral dissertations and academic papers related to future education published in Korea from 2000 to 2023, and selected 146 keywords. Keyword frequency and centrality analysis were conducted with Microsoft Excel and NetMiner. The results of the study are as follows. First, as a result of the keyword frequency analysis, it was found that many studies on the themes of ‘future society’, ‘curriculum’, ‘4th industrial revolution’, ‘future school’, and ‘future competency’ were covered. Second, as a result of the keyword network centrality analysis, the frequency of the occurrence of keywords ‘future society’, ‘4th industrial revolution’, and ‘curriculum’ was high in all centralities, and the specific top keywords shown in each centrality analysis result were found to be connection centrality-‘artificial intelligence education’, ‘smart education’, proximity centrality-‘future education environment’, and mediation centeredness-‘big data’. This study analyzed future education research trends structurally and multifacetedly by grasping the relationship and meaning of data through keyword network analysis. Therefore, this study is meaningful in providing implications for future education trends and future education plans in kindergarten and school education.

키워드