Journal of Industrial Convergence (산업융합연구)

DAEHAN Society of Industrial Management (대한산업경영학회)
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A Study on the Understanding and Solving Tasks of AI Convergence Education

AI 융합교육의 이해와 해결 과제에 대한 고찰

  • Received : 2022.10.30
  • Accepted : 2023.01.20
  • Published : 2023.01.28
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Abstract

In this study, we approached from the perspective of AI convergence education in elementary, middle and high schools to understand AI convergence education. We examined what capabilities AI convergence education ultimately seeks to pursue, and analyzed various examples of AI convergence education in three dimensions: core curriculum, convergence model, AI learning elements and learning activities. In addition, factors to be considered in order for AI convergence education to be actively carried out include the cultivation of AI convergence education capabilities of teachers, the development and dissemination of AI teaching and learning methods and teaching and learning models, and evaluation methods for AI convergence education.

본 연구에서는 AI 융합교육의 이해를 위해 초중고에서 이루어지고 있는 AI 융합교육의 관점에서 접근하였다. AI 융합교육에서 궁극적으로 추구하고자 하는 역량이 무엇인지 살펴보고, 현재 이루어지고 있는 AI 융합교육의 다양한 사례들을 크게 중심교과, 융합모형, AI 학습요소와 학습활동의 3가지 차원에서 분석하였다. 또한 AI 융합교육이 활발하게 이루어지기 위해서 고려되어야 할 요소로 교사의 AI 융합교육 역량 함양, AI 교수학습 방법 및 교수학습 모형 개발 및 보급, AI 융합교육을 위한 평가 방안 등에 대해 논의하였다.

Keywords

References

  1. Y. Kim. (2019). Global Trend of AI Talent Development Policy in Major Countries. Monthly Software Society, 62(8). 29-36 
  2. R. Graham. (2018). The global state of the art in engineering education. Massachusetts Institute of Technology(MIT) Report, Massa chusetts. USA 
  3. S. Laato et al.(2020). Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module. Proc. of 2020 IEEE Frontiers in Education Conference (FIE) 
  4. CBSE(Central Board of Secondary Education) (2020). Artificial Intelligence Integration across Subjects for CBSE curriculum. http://cbseacademic.nic.in/web_material/Manuals/AIIntegrationManual.pdf 
  5. H. S. Jo, H. S. Lee, J. M. Kim & C. Y. Na. (2021). 2020 Software.Artificial intelligence Education Annual report, Ministry of Science and ICT, the Ministry of Education, Korea Science and Creativity Foundation 
  6. S. J. Hong, B. K. Jo, I. S. Choi, & K. J. Park.(2020). Concept and Application of Artificial Intelligence in School Education. KICE POSITION PAPER, 12(3). 
  7. S. Y. Choi. (2021). Artificial Intelligence in Education: A Study on the Literature of Artificial Intelligence Education. The Journal of Korean Association of Computer Education, 24(3), 11-21.  https://doi.org/10.32431/KACE.2021.24.3.002
  8. J. H. Lee, S.H. Lee & D. H. Lee. (2021). An Analysis of the Educational Effectiveness of the Elementary AI Convergence Education Program. Journal of Korean Association of Computer Education, 25(3), 471-481. 
  9. S. H. An, J. M. Kim., I. K. Jung, Y. J. Jun & J. H. Park. (2021). An Analysis of the Operation Status of AI Convergence Education Major in Graduate School of Education. Proc. of Conference on Korean Society for Information Education, 12(2), 411-418. 
  10. S. Y. Lee & Y. J. Lee. (2021). Development of a convergence education program based on artificial intelligence education for classification of reptiles and amphibians. Journal of Convergence for Information Technology, 11(12), 168-175.  https://doi.org/10.22156/CS4SMB.2021.11.12.168
  11. S. B. Park. et al. (2021). AI, a recycling project!, 2021 STEAM Teacher Research Council Results Report, Korea Science and Creativity Foundation. 
  12. R. Fogarty. (1991). How to Integrate the Curricula. Palatine, IL: IRI/Skylight Publishing. 
  13. S. C. Kim et al. (2021) All Integrating Step-by-step AI training program, 2021 STEAM Teacher Research Council Results Report, Korea Science and Creativity Foundation. 
  14. The Ministry of Education, Korea Science and Creativity Foundation & Korea National University of Technology. (2020). 2020 STEAM program development of high-tech application programs 4th grade in elementary school. 
  15. C. I. Kim & Y. J. Jeon. (2021). Analysis of the core concepts of mathematics and artificial intelligence and the content system of Intelligence Mathematics>. Journal of Korean School Mathematical Society, 24(4). 391-405.  https://doi.org/10.30807/ksms.2021.24.4.004
  16. UNESCO (2022). K-12 AI curricula : A mapping of government-endorsed AI curricula. https://unesdoc.unesco.org/ark:/48223/pf0000380602 
  17. Y. J. Son. (2021). AIENG Developing English communication skills with chatbot-based babbling programs. Research Report of the 15th Educational Informatization Research Conference. 
  18. J. Hwang, E. J. Choi & J. H. Han. (2021). Development and Application of Ethical Education Convergence Project Using Deepfake App. Journal of Korean Association of Computer Education, 25(2), 405-412. 
  19. J. B. Song. & J. H. Park. (2021). Development of STEAM education program with environmental themes using artificial intelligence tools. Journal of Digital Contents Society, 22(11), 1825-1832  https://doi.org/10.9728/dcs.2021.22.11.1825
  20. Y. J. Jang. (2019). Development of an Unplugged Education Program for Artificial Intelligence Classes in Elementary Schools. Master's thesis, Seoul National University
  21. J. B. Song et al. (2020). Artificial Intelligence in Play. Chungcheongnam-do Office of Education Research Information Center, Korea Science and Creativity Foundation. 
  22. K. K. Yun. (2021). A Study on the Guidance Method for Creative Class of Music Curriculum Using Artificial Intelligence. Educational research, 80, 369-385. Sungshin Women's University Education Research Institute  https://doi.org/10.17253/SWUERI.2021.80..018
  23. The Ministry of Education, Korea Science and Creativity Foundation & Korea National University of Technology(2020)b. Find someone who doesn't wear a mask. 2020 STEAM Program. 
  24. I. H. Yoo, Y. K. Bae, D. R. Park, J. M. An & W. Y. Kim. (2020). A Study on the Development and Application of Artificial Intelligence Education Program Using Robots. Journal of Korean Association of Computer Education, 24(5), 443-451. 
  25. J. H. Hong. (2021). Making AI robots to solve environmental problems around us, 2021 Casebook of Artificial Intelligence Education Class. Busan Metropolitan Office
  26. H. H. Shin, T. S. Shin & H. W. Shin. (2022), A Study on the Exploration of Artificial Intelligence Ethics Education in Elementary School Morality Class. School and Teaching Research, 17(1). 75-96. 
  27. E. K. Kim. (2022). The Effect of Artificial Intelligence Ethics Education using Moral Machine on the Attitudes and Images of Elementary School Students on Artificial Intelligence. Master's thesis, Korea National University
  28. H. J. Yang, J. M. Kim, & O. K. Lee. (2020). Extracting SW Education Capabilities of Elementary School Teachers. The Journal of Learner-Centered Curriculum and Instruction, 20(19), 1357 -1378. 
  29. M. Koehler et al. (2002). With a little help from your students: A new model for faculty development and online course design. Proc. of American Educational Research Association. 
  30. P. Mishra, & M. J. Koehler. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054.  https://doi.org/10.1111/j.1467-9620.2006.00684.x
  31. W. S. Shin. (2020). An Analysis of Teachers' Knowledge of Technology Contents on Robotics Education. Journal of the Korean Association of Industry-Academic Technology, 21(6), 196-203. 
  32. L. Li. (2020). A Comparative Study on Artificial Intelligence Curricula. Electronic Thesis and Dissertation Repository. 7496. https://ir.lib.uwo.ca/etd/749 
  33. Y. S. Jung. (2022). Teaching and Learning Methods and Activation of AI Convergence Education. A Study on AI Convergence Education. Support Center Issue Paper. 
  34. S. K. Shin. (2022). Designing a Framework for Evaluating Learner's Cognitive Competence through Computational Thinking-Based Artificial Intelligence Education. Journal of Korean Association of Computer Education, 24(1), 59-69. 
  35. Y. J. Kim et al. (2018). A Study on the Development of the Evaluation Model for Converged Human Resources Education (STEAM). Research Report of the Korea Science and Creativity Foundation 
  36. H. J. Park, & N. H. Kim. (2019). Trend Analysis of Learning Evaluation in Converged Talent Education Program(STEAM). The Journal of Learner-Centered Curriculum and Instruction, 19(17), 1229-1246. 
  37. D. T. Ng, J. K. Leung, S. K. Chu, & M. ShenQiao. (2021). Conceptualizing AI literacy: an exploratory review, Computers and Education: Artificial Intelligence, 2. DOI : 10.1016/ j.caeai.2021.100041 
  38. H. K. Lee & I. H. Yoo. (2021). Development and Application of Machine Learning Education Program centered on supervised learning using Micro:bits. Journal of Korean Association of Computer Education, 25(6), 995-1003  https://doi.org/10.14352/jkaie.2021.25.6.995
  39. S. A. Min, I. S. Jeon & K. S. Song. (2021). The Effects of Artificial Intelligence Convergence Education using Machine Learning Platform on STEAM Literacy and Learning Flow. Journal of The Korea Society of Computer and Information, 26(10), 199-208.  https://doi.org/10.9708/JKSCI.2021.26.10.199
  40. S. H. Lee. (2020). An Analysis of the Effectiveness of Artificial Intelligence Education Program Based on Design Thinking Process. The Journal of Korean Association of Computer Education, 23(4) 
  41. T. Hsu, H. Abelson, N. Lao, & S. Chen (2021). Is It Possible for Young Students to Learn the AI-STEAM Application with Experiential Learning?, Substantiality, 13 (19), 11114 
  42. D. Lee, et al.(2021). AI-Infused Collaborative Inquiry in Upper Elementary School: A Game-Based Learning Approach. The Thirty-Fifth AAAI Conference on Artificial Intelligence. 
  43. H. Y. Kim (2021). Strengthening future capabilities and enhancing creativity through AI composition. Report of 2021 Class Innovation Case Study Contest.