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http://dx.doi.org/10.32431/kace.2020.23.4.001

Review on Artificial Intelligence Education for K-12 Students and Teachers  

Kim, Soohwan (총신대학교)
Kim, Seonghun (고려대학교 대학원)
Lee, Minjeong (중앙대학교)
Kim, Hyeoncheol (고려대학교)
Publication Information
The Journal of Korean Association of Computer Education / v.23, no.4, 2020 , pp. 1-11 More about this Journal
Abstract
The purpose of this study is to propose the direction of AI education in K-12 education through investigating and analyzing aspects of the purpose, content, and methods of AI education as the curriculum and teacher training factors. We collected and analyzed 9 papers as the primary literature and 11 domestic and foreign policy reports as the secondary literature. The collected literatures were analyzed by applying a descriptive reviews, and the implications were derived by analyzing the curriculum components and TPACK elements for multi-dimensional analysis. As a result of this study, AI education targets were divided into three steps: AI users, utilizer, and developers. In K-12 education, the user and utilizer stages are appropriate, and artificial intelligence literacy must be included for user education. Based on the current computing thinking ability and coding ability for utilizer education, the implication was derived that it is necessary to target the ability to create creative output by applying the functions of artificial intelligence. In addition to the pedagogical knowledge and the ability to use the platform, The teacher training is necessary because teachers need content knowledge such as problem-solving, reasoning, learning, perception, and some applied mathematics, cognitive / psychological / ethical of AI.
Keywords
AI Education; AI Curriculum; TPACK; Informatics Education;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 이정원.문형돈 (2018). 국내 인공지능 인식 현황 연구. 한국통신학회 학술대회논문집, 1396-1397.
2 교육부 (2015). 소프트웨어 운영 지침.
3 성정숙.김현철 (2015). 국외 컴퓨터 교육과정의 변화 분석. 컴퓨터교육학회 논문지, 18(1), 45-54.
4 김현철 (2019). 정보적 사고에서 인공지능까지. 서울: 한빛아카데미.
5 교육부 (2015). 초중등 교육과정 총론.
6 한국과학창의재단 (2019). 2019 AI 융합교육정책자료집. 서울: 한국과학창의재단.
7 Wollowski, M., Selkowitz, R., Brown, L. E., Goel, A., Luger, G., Marshall, J., & Norvig, P. (2016, March). A survey of current practice and teaching of AI. In Thirtieth AAAI Conference on Artificial Intelligence.
8 Kandlhofer, M., Steinbauer, G., Hirschmugl-Gaisch, S., & Huber, P. (2016, October). Artificial intelligence and computer science in education: From kindergarten to university. In 2016 IEEE Frontiers in Education Conference (FIE) (pp. 1-9). IEEE.
9 Han, X., Hu, F., Xiong, G., Liu, X., Gong, X., Niu, X., & Wang, X. (2018). Design of AI+ Curriculum for Primary and Secondary Schools in Qingdao. In 2018 Chinese Automation Congress (CAC) (pp. 4135-4140). IEEE.
10 Yu, Y., & Chen, Y. (2018). Design and development of high school artificial intelligence textbook based on computational thinking. Open Access Library Journal, 5(9), 1-15.
11 미국 Executive Office of the President (2016). Artificial Intelligence, Automation and the Economy. 2020.03.10. 검색. https://obamawhitehouse.archives.gov/sites/whitehouse.gov/files/documents/Artificial-Intelligence-Automation-Economy.PDF
12 미국 NSTC (2019). 2019 Executive Order on Maintaining American Leadership in Artificial Intellignece. 2020.02.20. 검색 https://www.whitehouse.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/
13 미국 AI4K12 사이트. 2020.02.20. 검색. https://github.com/touretzkyds/ai4k12/wiki
14 관계부처합동 (2019). 인공지능 국가전략. 2020.03.10. 검 색. http://www.korea.kr/news/pressReleaseView.do?newsId=156366736
15 이영호 (2019). 블록형 프로그래밍 언어 기반 인공지능 교육이 학습자의 인공지능 기술 태도에 미치는 영향 분석. 정보교육학회논문지. 23(2), 189-196.   DOI
16 이은경 (2020). 국내외 초중등학교 인공지능 교육과정 분석. 컴퓨터교육학회 논문지, 23(1), 37-44.
17 한국과학창의재단 (2019). 차세대 소프트웨어 (SW)교육 표준모델 개발. 서울: 한국과학창의재단.
18 류미영.한선관 (2019). 딥러닝 개념을 위한 인공지능 교육 프로그램. 정보교육학회논문지. 23(6), 583-590.   DOI
19 Mishra P., Koehler M. J. (2006). Technological Pedagogical Content Knowledge: A Framework for Integrating Technology in Teacher Knowledge. Teachers College Record. 108(6), 1017-1054.   DOI
20 최현종.이태욱 (2015). TPACK 모형에 기반한 예비 교사의 테크놀로지 지식 교육 프로그램 적용과 분석. 한국컴퓨터정보학회논문지, 20(2), 231-239.   DOI
21 미국 AI4All Open Learning. 2020.02.20. 검색. http://ai-4-all.org/open-learning
22 미국 ECS 사이트. 2020.02.20. 검색. http://www.exploringcs.org/
23 현성은 (2017). 중국의 인공지능(AI) 전략 :'차세대 인공지능 발전계획'을 중심으로. NIA Special Report 2017-10, 한국정보화진흥원.
24 백병화.안인희 (2018). 중국 인공지능 정책 분석 및 시사점. 정보통신기획평가원.
25 중국 인공지능 실험교재 목차. 2020.02.20. 검색. https://m.blog.naver.com/entrylabs/221602290971
26 중국, 인공지능 교과서. 2020.02.20. 검색. https://item.jd.com/12461281.html
27 일본 종합과학기술.혁신회의(CSTI) 이슈별 논의. KISTEP(2018.12.)
28 김용성 (2019). 인공지능(AI) 시대의 주요국의 인재양성 정책동향. 소프트웨어 정책 연구소.
29 미국 Machine Learning for Kids - IBM.org. 2020.02.20. 검색. https://www.ibm.org/activities/machine-learning-for-kids
30 이소율 (2017). TPACK 기반 교육용 프로그래밍 언어 교육이 초등 교사의 정보 교수효능감에 미치는 영향. 석사학위 논문. 한국교원대학교.
31 미국 Teachable Machine. 2020.02.20. 검색. https://teachablemachine.withgoogle.com
32 김영천 (역) (2016). 질적연구방법론1. Denzin, N, K의 The research act: A theoretical instruction to sociological methods. 3rd ed. 파주: 아카데미프레스