인공지능을 활용한 미래교육 연구 동향 분석-2000~2023년 연구물을 중심으로- = Analysis of Future Education Research Trends Using Artificial Intelligence -Focusing on research from 2000 to 2023-

국문 초록 (Abstract)

본 연구의 목적은 키워드 네트워크 분석을 통해 미래교육 관련 연구 동향을 파악하는 데 있다. 이를 위해 국내에서 2000년부터 2023년까지 발간된 308편의 학술논문 및 석·박사 학위논문과 그 키워드 146개를 분석대상으로 선정하였고, 5개의 시기로 구분하여 Microsoft Excel 365 프로그램과 NetMiner 4 프로그램으로 활용·분석하였다. 연구의결과는 다음과 같다. 첫째, 미래교육 연구물의 게재는 2000년부터 꾸준히 증가하다가 2010년대 하반기부터 큰 폭으로증가하였으며 2021년에는 그 수가 폭발적으로 증가하였다. 둘째, 미래교육 연구물은 최근 시기일수록 새롭게 출현하는 키워드의 수가 증가하였으나 ‘미래사회’ 키워드는 모든 시기에 출현빈도가 높게 나타났다. 셋째, 미래교육 연구물은 시기가 지날수록 키워드 간 동시출현하는 키워드의 수가 증가하였고, 동시출현하는 키워드의 내용은 다양하게 변화해왔다. 본 연구는 20여년이 지난 미래교육의 과거와 현재를 인공지능으로 분석하여 향후 미래교육의 방향을 제시했다는 데 그 의의가 있다.

다국어 초록 (Multilingual Abstract)

The purpose of this study was to identify research trends related to future education through keywordnetwork analysis. To this end, 308 academic papers and master's and doctoral dissertations published from 2000to 2023 in Korea, and 146 keywords were selected for analysis, divided into 5 periods, and used and analyzedwith the Microsoft Excel 365 program and NetMiner 4 program. The results of the study are as follows. First,the publication of future education research has steadily increased since 2000, but has increased significantlysince the second half of the 2010s, and the number has exploded in 2021. Second, the number of newkeywords that emerged in future education research has increased in recent times, but the frequency of 'futuresociety' keywords appearing in all periods has been high. Third, in future education research results, the numberof keywords that simultaneously appear among keywords has increased as time passes, and the contents ofkeywords that simultaneously have changed in various ways. This study is meaningful in that it suggested thedirection of future education by analyzing the past and present of future education with artificial intelligencemore than 20 years later

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