인공지능을 활용한 미래교육 연구 동향 분석-2000~2023년 연구물을 중심으로-

초록

The purpose of this study was to identify research trends related to future education through keyword network analysis. To this end, 308 academic papers and master's and doctoral dissertations published from 2000 to 2023 in Korea, and 146 keywords were selected for analysis, divided into 5 periods, and used and analyzed with 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 significantly since the second half of the 2010s, and the number has exploded in 2021. Second, the number of new keywords that emerged in future education research has increased in recent times, but the frequency of 'future society' keywords appearing in all periods has been high. Third, in future education research results, the number of keywords that simultaneously appear among keywords has increased as time passes, and the contents of keywords that simultaneously have changed in various ways. This study is meaningful in that it suggested the direction of future education by analyzing the past and present of future education with artificial intelligence more than 20 years later.

키워드