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키워드 분석을 활용한 인공지능 교육 정책의 시사점 연구

A Study on Implications of AI Education Policy using Keyword Analysis

  • Jaeho Lee (Dept. of Computer Education, Gyeongin Nat'l University of Education) ;
  • Hongwon Jeong (Cheongcheon Elementary School)
  • 투고 : 2022.08.16
  • 심사 : 2022.09.16
  • 발행 : 2022.10.31

초록

본 연구에서는 2020년 정부에서 발표한 "인공지능시대 교육정책방향과 핵심과제"에서 제시한 3대 정책 추진 방향을 확인하고, '20-'22년 발표된 인공지능 교육 관련 정부 정책 자료들로부터 키워드를 추출해 방향과 핵심과제가 정책으로 어떻게 반영되고 있는지 분석하였다. 텍스트 마이닝 빈도 분석 결과 정부가 추진하는 다양한 정책 방향을 확인하였고, 매트릭스 데이터에서 핵심 추진과제로 설정된 교육의 방향을 분석하였다. 토픽 분석 결과 인공지능 분야의 인재 양성을 위한 다양한 형태의 교육활동을 확인하였고, 개정 교육과정이 적용되기 전 다양한 콘텐츠가 개발되고 있는 것도 확인하였다. 최종적으로 정부의 정책 방향은 '25년 개정 교육과정을 본격적으로 적용하는 동시에 인공지능 교육 정책을 고도화, 활성화하고 현장에 자연스럽게 안착하도록 하는 쪽으로 움직일 것이며 교육과정이 적용되는 시기가 점점 다가올수록 현장 안착과 관련된 정책과 과제들이 점점 더 많이 등장할 것으로 예측할 수 있었다.

In this study, We confirmed the three major policy directions presented in "Educational Policy Direction and Core Tasks in the Age of Artificial Intelligence" announced by the government in 2020, and analyzed how the direction and key tasks are reflected in the policy from keywords selected from government policy data related to artificial intelligence education published between '20 and '22. It was extracted and analyzed how the direction and key tasks are reflected in the policy. As a result of text mining and the topic analysis, the direction of education set was analyzed and various types of activities for nurturing talents in the field of artificial intelligence were confirmed. Ultimately, the government's policy direction is to apply the '25 revised curriculum in earnest, while advancing and activating the AI education policy and allowing it to settle naturally in the field. It could be predicted that related policies and tasks would appear more and more.

키워드

과제정보

이 논문은 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2020R1F1A1071705)

참고문헌

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