DOI QR코드

DOI QR Code

마이크로비트를 활용한 데이터 기반 문제해결 SW교육 프로그램 개발

Development of SW Education Program for Data-Driven Problem Solving Using Micro:bit

  • 투고 : 2021.09.08
  • 심사 : 2021.09.17
  • 발행 : 2021.10.29

초록

교육부에서 2022 개정 교육과정에 본격적으로 AI교육을 도입하면서 AI교육과 더불어 데이터 관련 교육의 필요성에 대한 공감도가 높아지고 있다. 인공지능을 제대로 이해하고 활용하는 역량을 기르기 위해서는 데이터에 대한 이해와 활용 역량이 기반되어야 한다. 본 연구에서는 요구분석, 선행연구분석 결과를 종합하여 마이크로비트를 활용한 데이터 기반 문제해결 SW교육 프로그램을 개발하였다. 데이터 기반 문제해결 교육 프로그램은 데이터 과학의 내용 중 초등학생을 대상으로 적용할 수 있는 교육 요소들로 구성하여 개발되었다. 본 연구에서 개발한 프로그램을 통해 실생활 데이터를 바탕으로 다양한 주제와 교과를 융합한 교육을 연계할 수 있다. 더 나아가 데이터에 대한 이해를 바탕으로 보다 내실 있는 AI교육 프로그램의 기반을 갖추게 될 것이다.

As the Ministry of Education has introduced AI education in earnest in the 2022 revised curriculum, there is growing sympathy for the need for data-related education along with AI education. In order to develop the competence to understand and utilize artificial intelligence properly, the understanding and utilization competence of data must be based on it. In this study, a data-driven problem solving SW education program using microbit was developed by synthesizing the results of demand analysis and previous research analysis. The data-driven problem solving education program was developed with educational elements that can be applied to elementary school students among the contents of data science. Through the program developed in this study, education that combines various topics and subjects can be linked based on real-life data. Furthermore, based on an understanding of data, it will lay the foundation for a more substantial AI education program.

키워드

참고문헌

  1. Bae, H.S.(2019). Educational Implications of Data Literacy in Social Studies. Theory and Research in Citizenship Education, 51(1), pp.95-120.
  2. Hur, K.(2020), A Study on Elementary Education Examples for Data Science using Entry. Journal of The Korean Association of Information Education, 24(5), pp.473-481. https://doi.org/10.14352/jkaie.2020.24.5.473
  3. Son, M.H.(2020). Development Model and Strategy of Data-driven Science Inquiry for Cultivating the Knowledge-Information-Processing-Competency. Seoul National University, Doctoral dissertation.
  4. Kwon, J.M.(2018). The Development of A Micro:bit-Based Creative Computing Education Program. Seoul National University of Education, Master's Thesis.
  5. Min, S.H.(2018). A study on Development and Application of Physical Computing Lessons to Promote Computational Thinking in Elementary School Students. Ewha Womans University, Ph.D Thesis.
  6. Lee, Y.R., Ryu, J.M. & Han, K.S.(2020). Direction of Post-Corona Era Education Seen through Media Articles : The Role of "Creativity Education" in Crisis. The Journal of Creativity Education. 20(4), 65-85.
  7. Hong, J.Y. & Kim, Y.S.(2020), Development of AI Data Science Education Program to Foster Data Literacy of Elementary School Students. Journal of The Korean Association of Information Education, 1024(6), 633-641. https://doi.org/10.14352/jkaie.2020.24.6.633
  8. Koo, D.H. & Kim, D.J.(2020). Data science education program based on problem solving learning. The Journal of Korea Elementary Education, 31, Supplement, S203-S215.
  9. Mandinach, E. B. (2012). A perfect time for data use: Using data-driven decision making to inform practice. Educational Psychologist, 47(2), 71-85. https://doi.org/10.1080/00461520.2012.667064
  10. Song, Y.K.(2021). The Data-Driven Debate (DDD) Instructional Model for Improving Data Literacy. Seoul National University, Master's thesis.
  11. Athanases, S. Z., Bennett, L. H., & Wahleithner, J. M. (2013). Fostering data literacy through pre-service teacher inquiry in English language arts. The Teacher Educator, 48(1), 8-28. https://doi.org/10.1080/08878730.2012.740151
  12. Koo, D.H. & Woo, S.J.(2018), The Development of A Micro:bit-Based Creative Computing Education Program. Journal of The Korean Association of Information Education, 22(2), 231-238. https://doi.org/10.14352/jkaie.2018.22.2.231
  13. Song, O.J., Park, E.K. & Bae, J.M.(2020). The Effect of Software Education Using Micro:bit on Computational Thinking of Elementary School Students. Journal of Knowledge Information Technology and Systems, 15(1), 37-46. https://doi.org/10.34163/jkits.2020.15.1.004
  14. Kim, Y.M.(2018), Data Science Education Program to Improve Computational Thinking and Creativity. Jeju National University. Ph.D Thesis.
  15. Lee, H.H.(2019), The Effects of STEAM Program Utilizing Data Visualization Tools on Elementary Students' Ability to Process Knowledge Information, Attitudes Towards Science and Technology, Korea National University of Education, Masters' Thesis.
  16. Kim, J.A.(2021), Computer Education Program Based on Data Visualization to Improve Computational Thinking and Creativity. Jeju National University, Ph.D Thesis.