Journal of The Korean Association of Information Education (정보교육학회논문지)

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

DOI QR Code

An Analysis Study of SW·AI elements of Primary Textbooks based on the 2015 Revised National Curriculum

2015 개정교육과정에 따른 초등학교 교과서의 SW·AI 요소 분석 연구

  • Park, SunJu (Dept. of Computer Science Education.Gwangju National University of Education)
  • 박선주 (광주교육대학교 컴퓨터교육과)
  • Received : 2021.04.05
  • Accepted : 2021.04.10
  • Published : 2021.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, the degree of reflection of SW·AI elements and CT elements was investigated and analyzed for a total of 44 textbooks of Korean, social, moral, mathematics and science textbooks based on the 2015 revised curriculum. As a result of the analysis, most of the activities of data collection, data analysis, and data presentation, which are ICT elements, were not reflected, and algorithm and programming elements were not reflected among SW·AI content elements, and there were no abstraction, automation, and generalization elements among CT elements. Therefore, in order to effectively implement SW·AI convergence education in elementary school subjects, we will expand ICT utilization activities to SW·AI utilization activities. Training on the understanding of SW·AI convergence education and improvement of teaching and learning methods using SW·AI is needed for teachers. In addition, it is necessary to establish an information curriculum and secure separate class hours for substantial SW·AI education.

본 논문에서는 2015 개정교육과정에 기반한 초등학교 국어, 사회, 도덕, 수학, 과학 교과서 총 44종의 교과서를 대상으로 SW·AI 요소와 CT 요소의 반영 정도를 조사·분석하였다. 분석결과, ICT 요소인 자료수집, 자료분석, 자료표현 활동이 대부분이었으며, SW·AI 내용요소중 알고리즘, 프로그래밍 요소는 반영되지 않았고, CT 요소중 추상화, 자동화, 일반화 요소도 없었다. 그러므로 초등 교과에서 SW·AI 융합교육이 효과적으로 이루어지기 위해 ICT 활용 활동을 SW·AI 활용 활동으로 확대하고, 현장 교사를 대상으로 SW·AI 융합교육의 이해와 SW·AI를 활용한 교수학습방법 개선에 대한 연수가 필요하다. 그리고 내실 있는 SW·AI 교육을 위해 정보교과 신설 및 별도 시수 확보가 필요하다.

Keywords

References

  1. Bryant, J., Heitz, C., Sanghvi, S., & Wagle, D.(2020), How artificial intelligence will impact K-12 teachers. McKinsey & Company.
  2. ChanHee Han(2020), A Study of Elementary Moral Education Based on AI Ethics, Elementary Moral Education Journal 69, 229-253.
  3. Dongjo Shin(2020), Artificial Intelligence in Primary and Secondary Education: A Systematic Review, Journal of Educational Research in Mathematics 30(3), 531-552. https://doi.org/10.29275/jerm.2020.08.30.3.531
  4. HoYeop Nam, HyunGi Cho(2020), Categories of Social Studies Education with Artificial Intelligence and Ideas for Teaching Practice, The Journal of Korea Elementary Education 31, Supplement, S119-S133.
  5. Hyewon Chang, Jihyun Nam(2021), The Use of Artificial Intelligence in Elementary Mathematics Education-Focusing on the math class support system "Knock-knock! Math Expedition"-, The Journal of Korea Elementary Education 31, Supplement, S105-S123.
  6. Jaehoon Ku, Taeyoung Kim(2018), A Study on the Practical Teaching of Elementary Software Convergence Education based on Convergence CT-FL Instructional, The Proceeding of Korean association of computer education 23(1), 171-174.
  7. Ju young Song, Yong ju Jeon, Oh han Kang(2021), Application Plan of Artificial Intelligence Educational Platform as Instructional Material in Elementary Social Studies Education, The Proceeding of Korean Association Of Computer Education 25(1(A)), 273-276.
  8. Kapsu Kim, Dukhoi Koo, Seongbaeg Kim, Soohwan Kim, Yungsik Kim, Jamee Kim, Jaehyoun Kim, Changsuk Kim, Chul Kim, Hanil Kim, Hyeoncheol Kim, Namje Park, Jungho Park, Phanwoo Park, Insoon Seo, Jungyun Seo, Younghoon Sung, Taeok Song, Youngjun Lee, Jaeho Lee, Jungseo Lee, Hyeonah Lee, Hyeongok Lee, Soojin Jun, Yongju Jeon, Youngsik Jeong, Inkee Jeong, Sookyoung Choi, Jeongwon Choi & Sungwan Han(2020), Development a Standard Curriculum Model of Next-generation Software Education, Journal of The Korean Association of Information Education 24(4), 337-367. https://doi.org/10.14352/jkaie.2020.24.4.337
  9. Keeburm Park(2020), Possibility of Learning AI Decision Tree Algorithm in Social Studies Education, The Journal of Korea Elementary Education 31(4), 133-143.
  10. Mangoo Park(2020), The Trends of Using Artificial Intelligence in Mathematics Education, The Journal of Korea Elementary Education 31, Supplement, S91-S102.
  11. MinJeong Kim, WonGyu Lee, JaMee Kim(2017), Presenting the Development Direction Through the Analysis of Tool used to Measure Computational Thinking, The Journal of Korean association of computer education 20(6), 17-25. https://doi.org/10.32431/KACE.2017.20.6.002
  12. SeongSik Kim, YoungJik Kim, Ara Jo, MinWoo Lee(2019), Development of a Tool for Computational Thinking Assessment in Problem-Solving Programming Education: Paper Type Inspection and Self-Report Questionnaire, The Journal of Korean association of computer education 22(3), 89-99. https://doi.org/10.32431/kace.2019.22.3.008
  13. TaeGyu Kim, KyoungBae Kim, ShinYoung Kang(2020), A Study on the Application of Coding Education through Gamification for Tourism Experience-Focusing on "Computational Thinking" Factor Analysis-, Journal of Digital Convergence 18(4), 403-409. https://doi.org/10.14400/JDC.2020.18.4.403
  14. WonSub Shin(2020a), Exploring the Possibility of AI Convergence Science Education in Motion and Energy, The Journal of Energy and Climate Change Education 10(1), 73-86.
  15. WonSub Shin(2020b), A Case Study on Application of Artificial Intelligence Convergence Education in Elementary Biological Classification Learning. The Journal of Elementary Science Education 39(2), 284-295.