This study attempted to obtain a comprehensive insight into future education by systematically analyzing the contents of the research report from national research institutes on future education. To achieve this, 11 research reports on future education were analyzed using the semantic network analysis method. As a result, first, the main keywords of future education are 'future-oriented', 'artificial intelligence', 'learning topic', 'diversity', 'convergence', 'future core competency', 'democratic citizenship education', 'thinking ability', 'education policy', and 'literacy'. Second, among these keywords, 'education reform' is strongly linked with 'future-oriented', 'future core competency' and 'education policy'; 'future core competency' is strongly linked with 'future science' and 'thinking ability'; 'future science' was found to be strongly connected with 'learning subject' and 'convergence'. Also, 'education content' was found to be strongly connected with 'diversity', 'literacy' and 'artificial intelligence'. Third, as a result of the centrality index, 'future-oriented' is located at the center of the network, followed by 'learning topics', 'diversity', 'literacy', and 'artificial intelligence' are located within a short distance. In addition, 'learning topics', 'artificial intelligence', and 'future orientation' were found to play an important role in the overall semantic structure. The main points of discussion are discussed, based on these results, with previous research results.

요 약
I. 서론
II. 연구방법
    1. 분석 대상 보고서
    2. 분석 과정 및 방법
III. 연구결과
    1. 미래교육 교육과정의 주요 키워드 빈도
    2. 미래교육 교육과정의 전체 키워드 네트워크 구조적 속성
    3. 미래교육 교육과정의 주요 키워드 구조적 속성 및 중심성
IV. 논의 및 결론
참고문헌
Abstract

• 조미미(전북대학교 교육학과 강사) | Jo, Mi Mi
• 임선아(전북대학교 교육학과 교수) | Lim, Sun Ah Corresponding author