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Development of Artificial Intelligence Education Content to Classify Emotion of Sentences for Elementary School

초등학생을 위한 문장의 정서 분류 인공지능 교육 콘텐츠 개발 및 적용

  • 심재권 (고려대학교 영재교육원) ;
  • 권대용 (고려대학교 교과교육연구소)
  • Received : 2020.05.25
  • Accepted : 2020.06.27
  • Published : 2020.06.30

Abstract

In order to cultivate AI(artificial intelligence) manpower, major countries are making efforts to apply AI education from elementary school. In order to introduce AI education in elementary school, it is necessary to have a curriculum and educational content for elementary school level. This study developed educational contents to experience the principle of AI learning at the unplugged level for the purpose of AI education for elementary school students. The educational content developed was selected as an AI that evaluates the emotion of sentences. In addition, to solve the problem, data attributes were derived and collected, and the process of AI learning was simulated to solve the problem. As a result of the study, the attitude of elementary school students to AI increased post than before. In addition, the task performance rate was averaged at 85%, showing that the proposed AI education content has educational significance.

인공지능 인력을 양성하기 위해 주요국에서는 초등학교에서부터 인공지능 교육을 제공하고자 하는 노력을 기울이고 있다. 초등학교에서 인공지능 교육을 도입하기 위해서는 초등학생 수준을 고려한 교육과정과 내용이 필요하다. 본 연구는 초등학생의 인공지능 교육을 목적으로 언플러그드 수준의 조작을 통해 인공지능이 학습하는 원리를 체험하는 교육 콘텐츠를 개발하였다. 개발한 교육 콘텐츠는 문장의 정서를 판단하는 인공지능으로 주제를 선정하였고, 문제를 해결하기 위해 데이터 속성을 도출하여 수집하고 인공지능이 학습하는 과정을 시뮬레이션하여 문제를 해결하는 과정으로 구성하였다. 연구결과, 인공지능에 대한 태도가 사전보다 사후에 증가하였고, 과제 수행률이 평균 85%로 나타나 제안하는 인공지능 교육 콘텐츠가 교육적 의의가 있음을 보여주었다.

Keywords

References

  1. AI4K12. http://ai4k12.org
  2. China State Council(2017). Notice of the State Council Issuing the New Generation of Artificial Intelligence Development Plan.
  3. Prados, D.L., Kak, S.C.(1989). Neural network capacity using delta rule, Electronics Letters, 25(3), 197-199. https://doi.org/10.1049/el:19890142
  4. Geum, Y.C., Bae, S.A.(2012). Effect of Elementary Technology-Based STEAM Education on Attitude toward Technology of Elementary School Students, Journal of Korean Practical Arts Education, 25(3), 195-216.
  5. Jang, Y.J.(2019). Development of Unplugged Education Program for Elementary School AI Classes, Seoul National University of Education.
  6. Kim, J.R.(2018). A study on systematic review of unplugged activity, Journal of The Korean Association of information Education, 22(1), 103-111. https://doi.org/10.14352/jkaie.2018.22.1.103
  7. Kim, J.S., Han, S.K., Kim, S.H., Jung, S.W., Yang, J.M., Jang, E.D., and Kim. J.N.(2016), Study on Development of Teaching and Learning Model for Software Education, Korea Education Development Institute & KERIS Research Report CR 2015-35.
  8. Kim, J.S., Park, N.J.(2019). Development of a board game-based gamification learning model for training on the principles of artificial intelligence learning in elementary courses, Journal of The Korean Association of information Education, 23(3), 229-235. https://doi.org/10.14352/jkaie.2019.23.3.229
  9. Kim, K.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
  10. Kim, S.H., Kim S.H. and Kim H.C.(2019). Analysis of International Educational Trends and Learning Tools for Artificial Intelligence Education, The Korean Association of Computer Education Conference 23(2), 25-28.
  11. Kim, Y.M.(2019). Policy and Implications for AI Training by Major Countries, Korea Health Industry Development Institute brief, 276, 1-20.
  12. Korea Foundation for the Advancement of Science & Creativity(2019). Development of next generation software(SW) education standard model. Seoul: KOFAC.
  13. Korea Foundation for the Advancement of Science & Creativity(2019). Rethkink SW Education in the era of AI, 2019 Global Software Education Conference, Issue paper.
  14. Lee, C.S.(2008). Development of Technology Attitude Scale for Korea Pupils, Journal of Korean Practical Arts Education, 14(2), 71-90. https://doi.org/10.17055/jpaer.2008.14.3.71
  15. Lee, E.K.(2020). A Comparative Analysis of Contents Related to Artificial Intelligence in National and International K-12 Curriculum, The Journal of Korean association of computer education, 23(1), 37-44. https://doi.org/10.32431/kace.2020.23.1.003
  16. 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 Conference 24(1), 177-180.
  17. Lee, Y.H.(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 ICT(2019). AI National Strategy, 2019.12.17.
  19. ReadyAI Lab. https://edu.readyai.org
  20. Ryu, H.I, Ko, A.R. and Cho, J.W.(2019). Suggestion of Artificial Intelligence Education Strategy for Primary and Secondary School, The Korean Institute of Information Scientists and Engineers Conference, 763-765.
  21. 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
  22. Shin, W.S., Shin, D.H.(2020). A Study on the Application of Artificial Intelligence in Elementary Science Education, Journal of Korean Elementary Science Education, 39(1), 117-132. https://doi.org/10.15267/KESES.2020.39.1.117
  23. Yeo, S.I.(2015). Developing Effective Science Field Trip Program for Scientifically Gifted and Talented, The Journal of Education, 35(1), 161-180.

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