정보교육학회논문지 (Journal of The Korean Association of Information Education)

  • 제27권3호
  • /
  • Pages.225-234
  • /
  • 2023
  • /
  • 1229-3245(pISSN)
  • /
  • 2733-8428(eISSN)
한국정보교육학회 (Korea Association of Information Education)
권호 표지
DOI QR코드

DOI QR Code

딥러닝 원리 중심의 인공지능 교육 프로그램 개발 및 적용

Development and Application of Artificial Intelligence Education Programs centered on Deep Learning Principles

  • 투고 : 2023.01.18
  • 심사 : 2023.05.08
  • 발행 : 2023.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

교육부는 미래사회 변화에 대응할 수 있는 기초 소양과 역량을 기를 수 있는 교육과정 개선을 추진하며 인공지능과 소프트웨어 교육을 비롯한 디지털 기초 소양 강화를 강조하고 있다. 인공지능 교육 분야에서도 인공지능 기술 발전에 따른 사회 변화를 바르게 이해하고 인공지능의 개념과 원리, 기술을 활용하여 실생활 및 다양한 분야의 문제를 창의적으로 해결할 수 있는 기초 소양인 인공지능 리터러시에 대한 연구가 이루어지고 있다. 본 연구에서는 머신러닝 포 키즈에서 딥러닝 모델을 구현하는 원리를 보여주는 부분을 활용해서 인공지능의 개념과 원리(노드, 은닉층 등)를 익힐 수 있는 교육 프로그램을 개발하고 적용하여 인공지능 리터러시를 함양하는 데 그 목적을 두고 있다. 교육 프로그램은 초등교사 50명의 요구 분석 결과를 바탕으로 목적과 방향을 설계하였고, 초등 정보 영재 20명을 대상으로 적용 후 인공지능 리터러시 사전·사후 검사 결과를 통해 교육적 효과를 분석하였다. 분석결과 본 교육 프로그램은 인공지능 리터러시 향상에 긍정적인 영향을 미친 것으로 나타났다.

The Ministry of Education is pushing to improve the curriculum to develop basic skills and capabilities to respond to future social changes and emphasizes strengthening digital basic skills, including artificial intelligence and software education. In the field of artificial intelligence education, research is being conducted on artificial intelligence literacy, a basic knowledge that can correctly understand social changes caused by the development of artificial intelligence technology and creatively solve problems in real life and various fields by utilizing artificial intelligence. The purpose of this study is to develop and apply an educational program that can learn the concepts and principles of artificial intelligence (nodes, hidden layers, etc.) by using the part that shows the principle of implementing deep learning models in Machine Learning for Kids. The educational program designed the purpose and direction based on the results of analyzing the needs of 50 elementary school teachers, and analyzed the educational effect through the results of artificial intelligence literacy pre- and post-test for 20 elementary information gifted students. As a result of the analysis, it was found that this education program had a positive effect on improving artificial intelligence literacy.

키워드

과제정보

이 논문은 2023학년도 제주대학교 교원성과지원사업에 의하여 연구되었음.

참고문헌

  1. Ministry of Education(2020), Comprehensive plan for information education 2020-2024.
  2. Ministry of Education(2020), Education Policy Direction and Key Tasks in the Age of Artificial Intelligence.
  3. Ministry of Education(2021), Criteria for contents of AI education in elementary and secondary schools.
  4. Yun, H. & Kim, J. R.(2022), A Study on the Perception of Artificial Intelligence Literacy and Artificial Intelligence Convergence Education Using Text Mining Analysis Techniques. urnal of The Korean Association of Information Education of Information Education, Vol 26(1), 553-566. https://doi.org/10.14352/jkaie.2022.26.6.553
  5. Christoph. S. and Daniel W.G.(2013), Machine learning in cell biology - teaching compute to recognize phenotypes, Journal of Cell Science, 126, 5529-5539
  6. Park, D. R.(2020), The Development of Softwatre Teaching-Learning Model based on machine Learning Platform, Journal of The Korean Association of Computer Education, Vol 24(1), 49-57 https://doi.org/10.14352/jkaie.2020.24.1.49
  7. Lee, Y. H., & Koo. D. H.(2017), A Study on Development Deep Learning Based Learning System for Enhancing the Data Analytical Thinking, Journal of The Korean Association of Computer Education, Vol 21(4), 393-401 https://doi.org/10.14352/jkaie.2017.21.4.393
  8. Hong, J. Y., & Kim, Y. S.(2022), Development of Digital and AI Teaching-learning Strategies Based on Computational Thinking for Enhancing Digital Literacy and AI Literacy of Elementary School Student. Jouranl of The Korean Association, 26(5), 341-352.
  9. Kim, T. R., & Han, S. G.(2022), Study on the suitability of AI education platform for school classes, Journal of The Korean Association of Artificial Intelligence Education, Vol 3(2), 33-47 https://doi.org/10.52618/aied.2022.3.2.4
  10. Korea Foundation for the Advancement of Science & Creativity(2020), A Study on the Development of Artificial intelligence Basic Subjects.
  11. Park, Y. S., & YI, Y. M.(2021), The Education Model of Liberal Arts to Improve the Artificial Intelligence Literacy Competency of Undergraduate Students. Jouranl of The Korean Association, 25(2), 423-436.
  12. Korea Foundation for the Advancement of Science&Creativity(2022), A Study on how to apply AI education to K-12.
  13. Ryu, M. Y. & Han, S. K.(2019), AI Education Programs for Deep-Learning Concepts. Jouranl of The Korean Association, 23(6), 583-590.
  14. Moon, W. J., Ko, S. H., Lee, J. H. &Kim, J. H.(2021), Development of Elementary Machine Learning Education Program to Solve Daily Life Problems Using Sound Data. Journal of The Korean Association, 25(5), 705-712.
  15. Kim, S. W., & Lee. Y. J.(2022), The Artificial Intelligence Literacy Scale for Middle School Students. Journal of The Korea Society of Computer and Information, 27(3), 225-238. https://doi.org/10.9708/JKSCI.2022.27.03.225
  16. Moon, W. J., Boo, Y. H.& Kim, J. H.(2021), Effect of Execution Time-oriented the Elementary EPL Education on Computational Thinking Ability of School Students. Jouranl of The Korean Association, 24(3), 233-241.
  17. Lee, E. H.(2023), Development and Application of Artificial Intelligence Unplugged Education Program for Elementary School Student. Seoul National University of Education.