Journal of The Korean Association of Information Education (정보교육학회논문지)

Korea Association of Information Education (한국정보교육학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Future Directions according to Analysis of Necessity of AI Education

AI교육의 필요성 분석에 따른 미래 방향 탐색

  • Received : 2020.09.11
  • Accepted : 2020.09.29
  • Published : 2020.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

As artificial intelligence(AI) technology is advanced based on recent technological advances such as machine learning, big data, and machine learning, it is actively used in various fields and is emerging as the core of the future industry. Accordingly, Korea is laying the groundwork for future AI technology development and environment establishment, such as announcing the national AI strategy, and is developing various policies to foster AI talent in the field of education. However, although many people agree on the importance or necessity of AI, it can be said that there is insufficient consensus on specific needs. Looking at related studies, there are many differences in the direction of AI education content and methodology, because awareness of necessity becomes a prerequisite for setting the direction, and accordingly, the direction such as educational content and method is determined. Therefore, this study aims to explore the direction of AI education by analyzing the difference in perceptions of the need for AI education between experts and the school field, and analyzing the perception of the need for AI education that everyone can relate to.

최근 머신러닝, 빅데이터, 머신러닝 등의 기술 발전을 기반으로 인공지능(AI) 기술이 고도화되면서 다양한 분야에서 적극적으로 활용되고 있고, 미래 산업의 핵심으로 떠오르고 있다. 이에 우리나라에서는 AI 국가전략을 발표하는 등 미래 AI 기술 발전과 환경 구축의 발판을 마련하고 있으며, 교육 분야에서도 AI 인재 양성을 위한 각종 정책을 개발하고 있다. 그런데 AI의 중요성이나 필요성에 대해서는 많은 사람들이 동의하고 있으면서도, 구체적인 필요성에 대한 공감대 형성은 부족하다고 할 수 있다. 관련 연구를 살펴보면 AI교육의 내용이나 방법론 등의 방향에서 많은 차이를 보이고 있는데, 이는 필요성에 대한 인식이 방향을 설정하는 전제 조건이 되고, 이에 따라 교육 내용과 방법이 결정되기 때문이다. 이에 본 연구에서는 전문가와 학교 현장의 AI교육 필요성에 대한 인식 차이를 분석해보고 이를 토대로 모두가 공감할 수 있는 AI교육의 필요성에 대한 인식을 분석함으로써 향후 AI교육의 방향을 탐색하고자 한다.

Keywords

References

  1. Bloom's Taxonomy. Retieved from https://cft.vanderbilt.edu/guides-sub-pages/blooms-taxonomy/
  2. Park, D.R., Ahn, J.M., Jang, J.H., Yu, W.J., Kim, W.Y., Bae, Y.K., Yoo, I.H.(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. https://doi.org/10.14352/jkaie.2020.24.1.49
  3. Shin, S.K.(2020). Designing the Framework of Evaluation on Learner's Cognitive Skill for Artificial Intelligence Education through Computational Thinking, Journal of The Korean Association of Information Education, 23(6), 639-653. https://doi.org/10.14352/jkaie.2019.23.6.639
  4. Krishna Rao, M.R.K.(2005), Infusing critical thinking skills into content of AI course. In ACM SIGCSE Bulletin, 37(3), 173-177.(as cited in Shin, S.K. 2020). https://doi.org/10.1145/1151954.1067494
  5. AI4AL. Retrieved from http://ai-4-all.org
  6. AI4K12. Retrieved from http://ai412.org
  7. Zeng, D.(2013). From computational thinking to ai thinking. IEEE Intelligent System, (6), 2-4.(as cited in Shin, S.K. 2020).
  8. Silapachote, P., & Srisuphab, A. (2017). Engineering Courses on Computational Thinking Through Solving Problems in Artificial Intelligence. International Journal of Engineering Pedagogy, 7(3), 34-49. https://doi.org/10.3991/ijep.v7i3.6951
  9. Shih, W.C.(2019), Integrating Computational Thinking into the Process of Learning Artificial Intelligence. In proceeding of the 2019 3rd International Conference on Education and Multimedia Technology, pp.364-368, ACM.(as cited in Shin, S.K. 2020).
  10. Kim, G.S.(2019). An Artificial Intelligence Education Program Development and Application for Elementary Teachers. Journal of The Korean Association of Information Education, 23(6), 629-637. https://doi.org/10.14352/jkaie.2019.23.6.629
  11. Kim, G.S., Park, Y.K.(2017). A Development and Application of the teaching and learning model of Artificial Intelligence Education for Elementary Student. Journal of The Korean Association of Information Education, 21(1), 137-147. https://doi.org/10.14352/jkaie.21.1.137
  12. Lee, S.C., Kim, T.Y.(2020). Proposal of Contents and Method of Artificial Intelligence Education for Elementary School Students. The Korean Association Of Computer Education, 24(1), 238-243.
  13. Ryu, M.Y., Han, S.K.(2019). AI Education Programs for Deep-Learning Concepts. Journal of The Korean Association of Information Education, 23(6), 583-590. https://doi.org/10.14352/jkaie.2019.23.6.583
  14. Han, S.K.(2020). Framework of AI Education. Korean Association of Aritificial Intelligence Education, 1(1)
  15. Lee, C.H.(2020). Direction of practical and software education from a competency perspective in the AI era. The Korean Association of Practical Arts education, 2020(1), 95-123.
  16. Hong, S.J., Choi, I.S.(2020). Concept and application of artificial intelligence (AI) in school education. The position paper of Korea Institute for Curriculum and Evolution. 12(3)
  17. Students who studied with AI tutors, leap from the last to the best. Retieved from https://mnews.joins.com /article/23833935
  18. Create a step-by-step'AI education basic plan' from elementary school in the AI era. Retieved from https://www.yna.co.kr/view/AKR20200103105500004
  19. Ryu, M.Y., Han, S.K.(2018). The Educational Perception on Artificial Intelligence by Elementary School Teachers. Journal of The Korean Association of information Education, 22(3), 317-324. https://doi.org/10.14352/jkaie.2018.22.3.317

Cited by

  1. 초등학생의 데이터 리터러시 함양을 위한 AI 데이터 과학 교육 프로그램 개발 vol.24, pp.6, 2020, https://doi.org/10.14352/jkaie.2020.24.6.633