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Changes in attitudes and efficacy of AI learners according to the level of programming skill and project interest in AI project

AI 프로젝트 수업에서 프로그래밍 언어 활용 수준 및 프로젝트 흥미에 따른 AI에 대한 태도 및 효능감 변화

  • Han, eongyun (KAIST Global Institute for Talented Education)
  • 한정윤 (KAIST 과학영재교육연구원)
  • Received : 2020.08.10
  • Accepted : 2020.08.27
  • Published : 2020.08.31

Abstract

While artificial intelligence (AI) is attracting attention as a core technology in the era of the 4th industrial revolution, needs for artificial intelligence education to cultivate AI literacy is emerging. In this regard, we developed and applied a project-based AI education program for elementary and middle school students, and analyzed its effects. Participants were assigned into teams with three members, and each team engaged in a project-based AI education program for two nights and three days. In the project, they selected an real-world problem they wanted and devised an AI-enabled artifact to solve it. The effectiveness of the program was investigated with the changes in attitude and efficacy of learners toward artificial intelligence. The results showed that the AI project learning positively changed both attitudes and efficacy toward artificial intelligence at a statistically significant level. This change was more pronounced as the level of perceived programming skills increased, and the level of interest in the project learning increased.

인공지능이 4차 산업혁명 시대의 핵심 기술로 주목받는 가운데, 인공지능에 대한 기본적인 소양을 길러주기 위한 교육의 필요성이 대두되고 있다. 이에 따라 본 연구에서는 초·중등학생을 위한 프로젝트 기반의 AI 교육 프로그램을 개발하여 적용하고 그 효과를 분석하였다. 본 연구에 참여한 학생들은 3인 1조로 편성되어 2박 3일 일정의 프로젝트 학습을 수행하였으며, 이 과정에서 자신이 원하는 문제를 선택하고 인공지능 기술을 활용해 이를 해결하는 구체적인 산출물을 제작하였다. AI 프로젝트 수업의 효과를 알아보기 위해 활동 전후 학습자의 인공지능에 대한 태도와 효능감의 변화를 분석하였다. 분석 결과, AI 프로젝트 수업 이후 인공지능에 대한 태도와 효능감 모두에서 통계적으로 유의미한 수준의 긍정적인 변화가 확인되었다. 이러한 변화는 인지된 프로그래밍 언어 활용 수준이 높을수록, 프로젝트 학습에 대한 흥미 수준이 높을수록 더욱 뚜렷하게 나타났다.

Keywords

References

  1. Bell, S. (2010). Project-based Learning for the 21st Century: Skills for the Future. Journal of Educational Strategies, 83(2), 39-43.
  2. Blumenfeld, P. C., Soloway, E., Marx, R. W., Krajcik, J. S., Guzdial, M., & Palincsar, A. (1991). Motivating Project-based Learning: Sustaining the Doing, Supporting the Learning. Educational Psychologist, 26(3), 369–398. https://doi.org/10.1207/s15326985ep2603&4_8
  3. Cha, H., & Kim, M. (2020). Effectiveness Analysis of Prototyping-Fidelity Levels on Creative Problem-Solving Projects in Software Education: Focused on perceived academic self-efficacy and problem-solving skills. Journal of Learner-Centered Curriculum and Instruction, 20(3), 689-711. https://doi.org/10.22251/jlcci.2020.20.3.689
  4. Helle, L., Tynjälä, P., & Olkinuora, E. (2006). Project-Based Learning in Post-Secondary Education Theory, Practice and Rubber Sling Shots. Higher education, 51(2), 287-314. https://doi.org/10.1007/s10734-004-6386-5
  5. Kim, J. S., & Kwon G. Y. (2019, February 15). China Publishes AI Textbook for Elementary School after Middle and High School. Retrived From https://www.yeosijae.org/posts/575
  6. Kim, K. (2014). Measuring and applying the self-efficacy in computer programming education. Journal of The Korean Association of Information Education, 18(1), 111-120. https://doi.org/10.14352/jkaie.2014.18.1.111
  7. Kim, S. H., Kim, S. H., Lee, M. J., & Kim, H. C. (2020). Review on Artificial Intelligence Education for K-12 Students and Teachers. The Korean Association of Computer Education, 23(4), 1-11. https://doi.org/10.32431/kace.2020.23.1.001
  8. Kim, S. I., Kim, J. S., Kang, S. J., Kim, T. Y., & Yoon, J. H. (2019) Development and Application of Middle School Students Maker Education Program using Arduino based on Design Thinking, The Journal of Korean Industrial Education Association, 44(1), 162-189.
  9. Kim, S. L., Park, S. H., Kang, & M. S. (2010). Study in Project Instruction of UCC in Elementary Social Education: in History Unit of 6th Grade. Journal of Education Innovation Research, 20(2), 19-46.
  10. Kim, Y. M. (2019). Artificial Intelligence (AI) Manpower Training Policies and Implications in Major Countries. Health Industry Brief, 276, 1-20.
  11. Kim, Y. S. (2019). Global Trends of AI Talent Development Policy in Major Countries. Monthly Software Oriented Society, 143, 29-36.
  12. Korea Foundation for the Advancement of Science and Creativity (2019). 2019 AI Convergence Education Policy Book. Seoul: Korea Foundation for the Advancement of Science and Creativity.
  13. Kröper, M., Fay, D., Lindberg, T., & Meinel, C. (2010). Interrelations between Motivation, Creativity and Emotions in Design Thinking Processes - An Empirical Study Based on Regulatory Focus Theory. Proceedings of the 1st International Conference on Design Creativity ICDC 2010 (pp. 97-104).
  14. Lee, C. S. (2013). Korean Students's Attitude Scale Towards Robot. Journal of Korean Practical Arts Education, 19(2), 151-168. https://doi.org/10.17055/JPAER.2013.19.2.151
  15. Lee, H., Lee, H., Sung, J., Jung, S. W., Kim, S., & Kim, S. (2016). A study on surveying the actual conditions and evaluating the effectiveness of SW education in elementary and secondary schools. Seoul: Korea Foundation for the Advancement of Science and Creativity. Retrieved on August, 26, 2017.
  16. Lee, S. H. (2020). Analyzing the Effects of Artificial Intelligence (AI) Education Program based on Design Thinking Process. The Korean Association of Computer Education, 23(4), 49-59.
  17. Lee, Y. (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. https://doi.org/10.14352/jkaie.2019.23.2.189
  18. Ministry of Science and Technology Information and Communication (2019, December 17). Artificial Intelligence (AI) National Strategy Presentation. Retrived From http://www.korea.kr/news/pressReleaseView.do?newsId=156366736
  19. Ryu, M., & Han, S. (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
  20. Touretzky, D., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019). Envisioning AI for K-12: What Should Every Child Know about AI? Proceedings of the AAAI Conference on Artificial Intelligence, 33, 9795-9799.
  21. Vazhayil, A., Shetty, R., Bhavani, R. R., & Akshay, N. (2019). Focusing on Teacher Education to Introduce AI in Schools: Perspectives and Illustrative Findings. Proceedings - IEEE 10th International Conference on Technology for Education, T4E 2019, 71-77. https://doi.org/10.1109/T4E.2019.00021
  22. Wong, G., Ma, X., Dillenbourg, p., & Huan, J. (2020). Broadening Artificial Intelligence Education in K-12: Where to Start? ACM Inroads, 11(1), 20-29. https://doi.org/10.1145/3381884
  23. Wurdinger, S. D., Haar, J., Hugg, B., & Bezon, J. (2007). A Qualitative Study using Project based Learning in a Mainstream Middle School. Improving Schools, 10(2), 150-61. https://doi.org/10.1177/1365480207078048

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