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Development of the Artificial Intelligence Literacy Education Program for Preservice Secondary Teachers

예비 중등교사를 위한 인공지능 리터러시 교육 프로그램 개발

  • 장봉석 (국립목포대학교 교육학과)
  • Received : 2024.01.31
  • Accepted : 2024.02.20
  • Published : 2024.02.29

Abstract

As the interest in AI education grows, researchers have made efforts to implement AI education programs. However, research targeting pre-service teachers has been limited thus far. Therefore, this study was conducted to develop an AI literacy education program for preservice secondary teachers. The research results revealed that the weekly topics included the definition and applications of AI, analysis of intelligent agents, the importance of data, understanding machine learning, hands-on exercises on prediction and classification, hands-on exercises on clustering and classification, hands-on exercises on unstructured data, understanding deep learning, application of deep learning algorithms, fairness, transparency, accountability, safety, and social integration. Through this research, it is hoped that AI literacy education programs for preservice teachers will be expanded. In the future, it is anticipated that follow-up studies will be conducted to implement relevant education in teacher training institutions and analyze its effectiveness.

인공지능 교육에 대한 관심이 증가함에 따라, 연구자들은 인공지능 교육 프로그램을 실시하기 위해 노력하였다. 그러나 예비 교사를 대상으로 개발된 연구는 현재까지 제한적인 것으로 나타났다. 따라서 이 연구는 예비 중등교사를 위한 인공지능 리터러시 교육 프로그램을 개발하기 위해 실시되었다. 연구 결과, 주차별 주제는 인공지능의 정의와 적용, 지능 에이전트 분석, 데이터의 중요성, 기계학습의 이해, 예측과 분류에 대한 실습, 분류와 군집에 대한 실습, 비정형 데이터에 대한 실습, 딥러닝의 이해, 딥러닝 알고리즘의 활용, 공정성, 투명성, 책무성, 안전성, 사회통합으로 구성되었다. 이 연구를 통해 예비 교사를 대상으로 인공지능 리터러시 교육 프로그램이 확대되기를 희망한다. 추후에는 교원양성기관에서 관련 교육을 실시하고, 그 효과를 분석하는 후속 연구들이 실행되기를 희망한다.

Keywords

References

  1. H. Wang, T. Fu, Y. Du, W. Gao, K. Huang, Z. Liu, P. Chandak, S. Liu, P. Van Katwyk, A. Deac, A. Anandkumar, K. Bergen, C. P. Gomes, S. Ho, P. Kohli, J. Lasenby, J. Leskovec, T. Y. Liu, A. Manrai, D. Marks, B. Ramsundar, L. Song, J. Sun, J. Tang, ... M. Zitnik, "Scientific discovery in the age of artificial intelligence," Nature, vol. 620, no. 7972, pp. 47-60, 2023. 
  2. D. Touretzky, F. Martin, D. Seehorn, C. Breazeal, and T. Posner, "Special session: AI for K-12 guidelines initiative," Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019. 
  3. J. Knox, "Artificial intelligence and education in China," Learning, Media and Technology, vol. 45, no. 3, pp. 298-311, 2020.  https://doi.org/10.1080/17439884.2020.1754236
  4. F. Pedro, M. Subosa, A. Rivas, and P. Valverde, "Artificial intelligence in education: Challenges and opportunities for sustainable development," 2019. 
  5. S. Kim, S. Kim, M. Lee, and H. Kim, "Review on artificial intelligence education for K-12 students and teachers," The Journal of Korean Association of Computer Education, vol. 23, no. 4, pp. 1-11, 2020.  https://doi.org/10.32431/KACE.2020.23.4.001
  6. C. Zhang and Y. Lu, "Study on artificial intelligence: The state of the art and future prospects," Journal of Industrial Information Integration, vol. 23, p. 100224, 2021.
  7. J. Finlay, An Introduction to Artificial Intelligence, Crc Press, 2020. 
  8. S. F. Ahmad, M. K. Rahmat, M. S. Mubarik, M. M. Alam and S. I. Hyder, "Artificial intelligence and its role in education," Sustainability, vol. 13, no. 22, p. 12902, 2021. 
  9. A. L. Davis, "Using instructional design principles to develop effective information literacy instruction: The ADDIE model," College & Research Libraries News, vol. 74, no. 4, pp. 205-207, 2013.  https://doi.org/10.5860/crln.74.4.8934
  10. H. M. Kim, "A.I. ethics education program design for elementary school teachers," Elementary Moral Education Journal, vol. 77, pp. 261-283, 2022. 
  11. J. H. Jeong, Development of a High School Machine Learning Project Class Program Using an Artificial Intelligence Platform, Korea National University of Education: Cheongju, 2022. 
  12. M. Ryu and S. Han, "AI education programs for deep-learning concepts," Journal of the Korean Association of information Education, vol. 23, no. 6, pp. 583-590, 2019. https://doi.org/10.14352/jkaie.2019.23.6.583