DOI QR코드

DOI QR Code

Development and Application of Artificial Intelligence Education Program for Secondary School Students using Self-Driving Cars

자율주행 자동차를 이용한 중등 학생 대상 인공지능 교육 프로그램 개발 및 적용

  • Ryu, Hyein (Major in Computer Education, Graduate School, Jeju National University) ;
  • Lee, Jeonghun (Major in Computer Education, Graduate School, Jeju National University) ;
  • Cho, Jungwon (Department of Computer Education, Jeju National University)
  • 류혜인 (제주대학교 대학원 컴퓨터교육전공) ;
  • 이정훈 (제주대학교 대학원 컴퓨터교육전공) ;
  • 조정원 (제주대학교 컴퓨터교육과)
  • Received : 2021.06.09
  • Accepted : 2021.07.20
  • Published : 2021.07.28

Abstract

This study aims to develop an AI education program for secondary school students to help understand AI and to provide an experience of solving real-life problems by using AI, and to analyze the effectiveness of education. The education program based on the AI education system for K-12 developed in the previous study was composed of a total of 12 lessons by selecting the self-driving cars, which is emerging as a recent issue among real life problems, as the main topic. Classes were conducted for secondary school students who had experience in software education, and the effectiveness of education and class satisfaction were analyzed. As a result of the analysis, it was confirmed that the understanding of AI and the sense of AI efficacy were improved, and the class satisfaction was high in all items such as educational content, fun in class, difficulty of class, and interest in AI. Based on these results, implications for AI education for secondary students were proposed.

본 연구에서는 인공지능에 대한 이해를 돕고 인공지능을 활용하여 실생활의 문제를 해결하는 경험을 제공하기 위한 중등 학생 대상 인공지능 교육 프로그램을 개발하고 교육의 효과성을 분석하고자 한다. 이전 연구에서 개발한 K-12 대상 인공지능 교육체계를 기반으로 설계한 교육 프로그램은 실생활의 문제 중에서 최근 이슈로 떠오르고 있는 자율주행 자동차를 주요 주제로 선정하여 총 12차시로 구성하였다. 소프트웨어 교육을 받은 경험이 있는 중등 학생을 대상으로 수업을 진행하고 교육의 효과성 분석과 수업 만족도를 분석하였다. 분석 결과 인공지능에 대한 이해와 인공지능 효능감이 향상된 것으로 확인하였고, 수업 만족도는 교육 내용, 수업에 대한 재미, 수업의 난이도, 인공지능에 대한 흥미 등 모든 항목에서 높게 나타났다. 이러한 결과를 바탕으로 중등 학생 대상 인공지능 교육을 위한 시사점을 제안하였다.

Keywords

Acknowledgement

이 논문은 2020학년도 제주대학교 교원성과지원사업에 의하여 연구되었음.

References

  1. D. Touretzky, F. Martin, D. Seehorn, C. Breazeal, & T. Posner. (2019). Special session: AI for K-12 guidelines initiative. Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 492-493. DOI: 10.1145/3287324.3287525
  2. Q. ZuJun. (2019 Oct.). [China] AI.SW education, why and how do we start? 2019 Global Software Education Conference Issue Paper. (pp. 12-25). Seoul : KOFAC.
  3. Software Policy & Research Institute (No. 60 Jun, 2019). AI strategy trend of Japan : AI strategy 2019. Seongnam : Monthly Software Oriented Society.
  4. House of Lords: Select Committee on Artificial Intelligence. (2017). AI in the UK: ready, willing and able? London : Authority of the House of Lords.
  5. Y. J. Chae (2021. 3. 1). Ministry of Education, metropolitan/provincial offices of education, publish AI textbooks and auxiliary textbooks. Metro. https://www.metroseoul.co.kr/
  6. K. S. Kim et el. (2020). Development a Standard Curriculum Model of Next-generation Software Education. Journal of The Korean Association of Information Education, 24(4), 337-367. DOI : 10.14352/jkaie.2020.24.4.337
  7. Consolidation of relevant Ministry. (2019). Artificial intelligence national strategy. Press Release. https://www.msit.go.kr
  8. Consolidation of relevant Ministry. (2020). A plan to spread AI/SW education to the whole nation. Press Release. https://www.4th-ir.go.kr/
  9. M. Y. Ryu & S. K. Han. (2019). AI education programs for deep-learning concepts. Journal of The Korean Association of Information Education, 23(6), 583-590. DOI : 10.14352/jkaie.2019.23.6.583
  10. Y. H. Lee. (2019). An analysis of the influence of block-type programming language-based artificial intelligence education on the learner's attitude in artificial intelligence. Journal of The Korean Association of Information Education, 23(2), 189-196. DOI : 10.14352/jkaie.2019.23.2.189
  11. I. H. Yoo et el. (2020). A Study on Development and Application of Artificial Intelligence Education Program using Robot. Journal of The Korean Association of Information Education, 24(5), 443-451. DOI : 10.14352/jkaie.2020.24.5.443
  12. H. S. Kim, S. J. Jun, S. Y. Choi & S. A. Kim. (2020). Development and application of education program on understanding artificial intelligence and social impact. Journal of Korean Association of Computer Education, 23(2), 21-29. DOI : 10.32431/kace.2020.23.2.003
  13. S. H. Lee. (2020). Analyzing the effects of artificial intelligence (AI) education program based on design thinking process. Journal of Korean Association of Computer Education, 23(4), 49-59. DOI : 10.32431/kace.2020.23.4.0053
  14. J. D. R. Garcia, J. M. Leon, M. R. Gonzalez & G. Robles. (2019 Nov.). Developing computational thinking at school with machine learning: an exploration. 2019 International Symposium on Computers in Education. 21-23. Tomar : IEEE. DOI : 10.1109/SIIE48397.2019.8970124
  15. Cung C. J. & Shamir L. (2020). Introducing Machine Learning with Scratch and Robots as a Pilot Program for K-12 Computer Science Education. 3rd International Conference on Future Learning (ICFL 2020).
  16. H. Y. Ryu & J. W. Cho. (2021). Development of Artificial Intelligence Education System for K-12 Based on 4P. Journal of Digital Convergence, 19(1), 141-149. DOI : 10.14400/JDC.2021.19.1.000
  17. H. C. Lee et el. (2016). A Study on Surveying the Actual Conditions and Evaluating the Effectiveness of SW Education in Elementary and Secondary Schools. Gwacheon : Ministry of Science ICT and Future Planning.
  18. Northstar (2019). AI today, AI tomorrow: Awareness, acceptance and anticipation of AI : A global consumer perspective. London : ARM | Northstar.