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4P기반의 K-12 대상 인공지능 교육을 위한 교육체계 개발

Development of Artificial Intelligence Education System for K-12 Based on 4P

  • 류혜인 (제주대학교 과학교육학부 컴퓨터교육전공) ;
  • 조정원 (제주대학교 컴퓨터교육과)
  • Ryu, Hyein (Major in Computer Education, Jeju National University) ;
  • Cho, Jungwon (Department of Computer Education, Jeju National University)
  • 투고 : 2020.11.30
  • 심사 : 2021.01.20
  • 발행 : 2021.01.28

초록

세계적으로 인공지능 기술의 급부상으로 인해 초·중등에서 실시하고 있는 SW(Software 이하 SW) 교육은 AI(Artificial Intelligence 이하 AI) 교육을 포함하여 확대되고 있는 추세이다. 이에 본 연구에서는 4P(Play, Problem Solving, Product Making, Project)기반 만5세 대상 유치원에서부터 고등학교까지 적용할 수 있는 AI 교육체계를 제시하고자 한다. 본 연구에서 제시하는 AI 교육체계는 학령별, 단계별로 적용할 수 있도록 4P기반의 Play(놀이), Problem Solving(문제해결), Product Making(제작), 그리고 Project(프로젝트) 4단계 교육전략을 설계하고, 수준을 AI 소양과 AI 개발이라는 2개의 영역으로 나누어 제시하였다. 개발된 AI 교육체계의 타당도를 검증하기 위하여 SW 교육 또는 AI 교육 경험이 있는 15명의 전문가를 대상으로 델파이 방법을 적용하였다. 검증 결과 도출된 AI 교육체계는 향후 학교급별 AI 교육을 위한 내용 체계를 개발하는데 기여할 수 있을 것이다.

Due to the rapid rise of artificial intelligence technology around the world, SW education conducted in elementary and secondary schools is expanding including AI education. Therefore, this study aims to present an AI education system based on 4P(Play, Problem Solving, Product Making, Project) that can be applied from kindergarten to high school. The AI education system presented in this study is designed to be applied in 4P-based Play, Problem Solving, Product Making, and Project 4 stages so that it can be applied by school age and step by step. The level was presented by dividing it into two areas: AI literacy and AI development. In order to verify the validity of the developed AI education system, the Delphi method was applied to 15 experts who had experience in SW education or AI education. The AI education system derived as a result of the verification will be able to contribute to the development of a content system for AI education at each school level in the future.

키워드

참고문헌

  1. Consolidation of relevant Ministry. (2019). Artificial intelligence national strategy. Press Release. https://www.msit.go.kr
  2. Ministry of Education. (2020). AI, into school! AI, introduced as an elementary mathematics study assistant, and as a high school career optional subject. Press Release. https://www.moe.go.kr
  3. Seoul Metropolitan Office of Education. (2020). 'Artificial intelligence and future society' in Textbooks. Press Release. https://enews.sen.go.kr/
  4. E. J. Choi. (2020. 8. 31.). Incheon Office of Education develops Korea's first artificial intelligence-related textbook. Yonhap News. https://www.yna.co.kr/view/AKR20200831093000065
  5. D. Touretzky, F. Martin, D. Seehorn, C. Breazeal, & T. Posner. (2019). Special session: AI for K-12 guidelines initiative. Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 492-493. DOI: 10.1145/3287324.3287525
  6. Q. ZuJun. (2019 Oct.). [China] AI·SW education, why and how do we start? 2019 Global Software Education Conference Issue Paper. (pp. 12-25). Seoul : KOFAC
  7. House of Lords: Select Committee on Artificial Intelligence. (2017). AI in the UK: ready, willing and able? Authority of the House of Lords.
  8. Y. S. Kim. (2019). Global trend of AI talent development policy in major countries. Monthly Software Oriented Society, 62, 29-36.
  9. K. S. Kim & Y. K. Park. (2017). A development and application of the teaching and learning model of artificial intelligence education for elementary students. Journal of The Korean Association of Information Education, 21(1), 139-149. DOI : 10.14352/jkaie.2017.21.1.137
  10. D. R. Park et el. (2020). The development of software teaching-learning model based on machine learning platform. Journal of The Korean Association of Information Education, 24(1), 49-57. DOI : 10.14352/jkaie.2020.24.1.49
  11. M. Y. Ryu & S. K. Han. (2019). AI education programs for deep-learning concepts. Journal of The Korean Association of Information Education, 23(6), 583-590. DOI : 10.14352/jkaie.2019.23.6.583
  12. Y. H. Lee. (2019). An analysis of the influence of block-type programming language-based artificial intelligence education on the learner's attitude in artificial intelligence. Journal of The Korean Association of Information Education, 23(2), 189-196. DOI : 10.14352/jkaie.2019.23.2.189
  13. H. S. Kim, S. J. Jun, S. Y. Choi & S. A. Kim. (2020). Development and application of education program on understanding artificial intelligence and social impact. Journal of Korean Association of Computer Education, 23(2), 21-29. DOI : 10.32431/kace.2020.23.2.003
  14. S. H. Lee. (2020). Analyzing the effects of artificial intelligence (AI) education program based on design thinking process. Journal of Korean Association of Computer Education, 23(4), 49-59. DOI : 10.32431/kace.2020.23.4.0053
  15. M. Wollowski et el. (2016 Feb.). A survey of current practice and teaching of AI. Proceedings of the Sixth Symposium on Educational Advances in Artificial Intelligence. 4119-4124. Palo Alto : AAAI Press
  16. W. C. Shih. (2019. July). Integrating computational thinking into the process of learning artificial intelligence. Proceedings of the 2019 3rd International Conference on Education and Multimedia Technology. 364-368. New York : ACM DOI : 10.1145/3345120.3345134
  17. J. D. R. Garcia, J. M. Leon, M. R. Gonzalez & G. Robles. (2019 Nov.). Developing computational thinking at school with machine learning: an exploration. 2019 International Symposium on Computers in Education. 21-23. Tomar : IEEE. DOI : 10.1109/SIIE48397.2019.8970124
  18. X. Han, F. Hu, G. Xiong, X. Liu, X. Gong, X. Niu, W. Shi & X. Wang. (2018 Nov.). Design of AI+ curriculum for primary and secondary schools in Qingdao. 2018 Chinese Automation Congress. Xi'an : IEEE. DOI : 10.1109/CAC.2018.8623310
  19. D. Touretzky, C. Gardner-McCune, F. Martin & D. Seehorn. (2019). Envisioning AI for K-12: What should every child know about AI? Proceedings of the AAAI Conference on Artificial Intelligence. 33. 9795-9799. DOI : 10.1609/aaai.v33i01.33019795
  20. K. S. Kim et el. (2020). Development a standard curriculum model of next-generation software education. Journal of The Korean Association of Information Education, 24(4), 337-367. DOI : 10.14352/jkaie.2020.24.4.337
  21. T. R. Kim, M. Y. Ryu & S. K. Han. (2020). Framework research for AI education for elementary and middle school students. Korean Association of Artificial Intelligence Education, 1(4), 31-42.
  22. H. Ryu & J. Cho. (2020). Suggestion of artificial intelligence education system for K-12. The Korean Association of Computer Education Conference 2020 Summer. 24(2), 63-66.
  23. C. H. Lawshe. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. DOI : 10.1111/j.1744-6570.1975.tb01393.x