실천공학교육논문지 (Journal of Practical Engineering Education)

  • 제12권2호
  • /
  • Pages.339-351
  • /
  • 2020
  • /
  • 2288-405X(pISSN)
  • /
  • 2288-4068(eISSN)
한국실천공학교육학회 (Korean Institute for Pratical Engineering Education)
권호 표지
DOI QR코드

DOI QR Code

AI 융합형 인재양성을 위한 학습자 맞춤형 훈련프로그램 모델 수립 방안: 고용노동부의 STEP을 중심으로

Establishment Plan on Personalized Training Model for Fostering AI Integrated Human Resource: Focusing on the Ministry of Employment and Labor's STEP as a Public Education and Training Platform

  • 임경화 (한국기술교육대학교 메카트닉스 공학부) ;
  • 신정민 (한국고용정보원) ;
  • 이두완 (한국기술교육대학교 온라인평생교육원)
  • 투고 : 2020.07.13
  • 심사 : 2020.10.29
  • 발행 : 2020.12.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

최근 세계적으로 4차 산업혁명 변화에 대한 교육적 대응의 주요 방향이 인공지능(AI: Artificial Intelligence)과 로봇 중심의 미래산업 핵심기술 인재육성에 집중됨에 따라, 고등교육과 직업능력개발 분야에서도 인공지능 기술을 가진 융합적 인재 양성의 중요성이 강조되고 있다. 본 연구는 이와 같이 변화하는 환경을 고려하여 최근 맞춤형 교육훈련 흐름과 AI 융합형 인재 양성 교육을 실현하기 위해 "학습자 맞춤형 AI 융합형 인재양성" 훈련 프로그램을 기획하고 운영모델 방안을 수립하였다. 인공지능 및 교육혁신 전문가를 대상으로 총 2회차에 걸쳐 델파이 조사를 실시하여, 훈련프로그램 운영모델 기본구조, 교육과정, 운영전략의 하위 구성요소의 적합도를 검증하였다. 그리고 최종적으로 검증된 훈련 모델을 온라인 직업훈련 허브인 스마트 직업훈련 플랫폼(STEP)에 적용하여 AI 융합인재 양성 학습자 맞춤형 훈련모델 수립 방안을 제안하였다.

In response to changes in Fourth Industrial Revolution in recent years, the field of education has focused on development of the human resources in the areas of artificial intelligence (AI: Artificial Intelligence) and industrial robot. Due to particular interest in these areas, the importance of developing integrated human resources equipped with artificial intelligence technology is emphasized in higher education and vocational competence development. In regards to rapid changing environment, this study created a program "Fostering personalized AI integrated human resource" and established an operational model correspond to latest personalized education trend. The established operational model was conducted twice using Delphi survey with experts in AI and innovative education in order to verify the suitability of program's basic structure, training process, and the sub-components of the operational strategy. The final training model was applied to the online vocational training platform (STEP) and a plan was proposed to establish a personalized training model to foster an AI integrated competent individual.

키워드

과제정보

이 논문은 2020년 한국기술교육대학교 교수 교육연구진흥과제 지원에 의하여 연구되었음.

참고문헌

  1. Ministry of Science, ICT and Future Planning, "Development of national convergence technology development strategy," Press Release, 2014.
  2. Ministry of Education, "Announcement of 2015 revised curriculum general and discourse," Press Release, 2015.
  3. Ministry of Science and ICT, "AI national strategy announced", Press Release, 2019.
  4. Institute for Information and Communications Technology Promotion, "Japanese AI (AI) policy isomorphism and implementation strategy," IITP, 2017.
  5. Y. S. Kim, "Global trend of AI talent development policy in major countries," TREND, SPRI, 2019.
  6. National Information Society Agency, "China AI strategy: focusing on next generation AI development plan," NIA Special Report 2017-010, 2017.
  7. C. H. Kim, M. R. Kim, K. R. Ryu, S. W. Min, D. Y. Park, D. Park, Y. J. Seo, H. G. Yu, Y, I, Yoon, D. Y. Lee, M. W. Lee, J. H. Cheon, C. K. Chae, and K. H. Hwang, "Developing job skills to respond to future jobs," KRIVET, 2018.
  8. S. Y. Cheong, "Educational innovation plan for fostering convergence talent," PACST, 2013.
  9. S. M. Hong, H. J. Kim, G. W. Cho, G. B. Park, S. W. Kim, and J. H. Cheong, "Future science and engineering talents," STEPI, 2013.
  10. N. Huh, "An analysis of web-based adaptive math learning program components," East Asian Mathematical Journal, vol. 34, no. 4, pp. 451-462, 2018.
  11. K. E. Lee, J. R. Kwon, and S. C. Oh, "Study on customized learning support plan in the classroom," RRI, 2008-3-1, 2008.
  12. C. A. Tomlinson and S. D. Allen, Leadership for Differentiating Schools & Classrooms, Alexandria, VA: Association for Supervision and Curriculum, 2000.
  13. S. E. Kim, "Reflections on the potentialities and the limitations of AIWBES(Adaptive and Intelligent Web-based Educational System) in the light of education principles," The Journal of Educational Principle, vol. 23, no. 1, pp. 1-21, 2018.
  14. H. C. Han, "A study on the possibilities of student-tailored high school curriculum-focusing on the Ontario Secondary Curriculum in Canada," KJCE, vol. 21, no. 2, pp. 75-99, 2011.
  15. U. S. Department of Education, Transforming American Education: Learning Powered by Technology, National Education Technology Plan 2010 Executive Summary, 2010.
  16. V. Shute and B. Towle, "Adaptive e-learning," Educational Psychologist, vol. 38, no. 2, pp. 105-114, 2003. https://doi.org/10.1207/S15326985EP3802_5
  17. K. H. Rim, J. M. Shin, and S. K. Lee, "A study on development of customized education and training model using online learning platform," Journal of Practical Engineering Education, vol. 11, no. 1, pp. 75-86, 2019. https://doi.org/10.14702/JPEE.2019.075
  18. T. Zhang, "Research on the strategy of teaching mode reform in vocational education under the condition of intelligent learning," Learning & Education, vol. 6, no. 2, pp. 1-5, 2018.
  19. Ministry of Employment and Labor, "2016-2030 Manpower demand forecast for the 4th industrial revolution", No. 1 of the 5th 4th Industrial Revolution Committee Report. 2018.
  20. M. H. Lee, "Innovation strategies for each educational stage of the 4th industrial revolution," e-Today, 2017.
  21. C. Okoli and S. D. Pawlowski, "The delphi method as a research tool: an example, design considerations and applications," Information & Management, vol. 42, no. 1, pp. 15-29, 2004. https://doi.org/10.1016/j.im.2003.11.002
  22. S. K. Baek, "The 4th industrial revolution and university innovation direction," The Ministry of Education, 2016.