정보교육학회논문지 (Journal of The Korean Association of Information Education)

  • 제23권3호
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  • Pages.197-206
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  • 2019
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  • 1229-3245(pISSN)
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  • 2733-8428(eISSN)
한국정보교육학회 (Korea Association of Information Education)
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파이썬을 활용한 데이터 시각화 교육이 초등학교 6학년 학생의 컴퓨팅 사고력에 미치는 효과

Effect of data visualization education with using Python on computational thinking of six grade in elementary school

  • 투고 : 2019.04.10
  • 심사 : 2019.06.24
  • 발행 : 2019.06.30
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초록

본 연구에서는 데이터 시각화 교육에 초점을 맞춘 파이썬 교육이 초등학교 6학년 학생들의 컴퓨팅 사고력 향상에 미치는 효과를 분석해보았다. 현직 초등교사 60명과 초등학교 6학년 학생 120명을 대상으로 실시한 요구분석 결과를 바탕으로, 데이터 시각화의 절차에 따라 파이썬 교육프로그램을 개발하였다. 개발한 교육프로그램으로 초등학교 6학년 학생 24명에게 총 6일 동안 36시간의 수업을 진행하여 사전 사후 비교 검사를 통해 효과를 분석하였다. 분석 결과, 데이터 시각화 교육에 초점을 맞춘 파이썬 교육은 초등학교 6학년 학생들의 '계산적 인지력'과 '유창성', '정교성', '독창성'에 유의미한 효과가 있는 것으로 나타났다.

In this study, we analyzed the effects of data visualization education with using Python on the improvement of computing thinking ability of the 6th grade students of elementary school. Based on the results of the needs analysis of 60 elementary school teachers and 120 elementary school students, we developed the data visualization education program. In the developed educational program, 24 elementary school students were trained for 6 days and 36 hours in total. Thereafter, students were subjected to pre- and post-comparison tests. As a result of the analysis, it was found that the data visualization education with using Python is effective in improving the Computational cognition, Fluency, Originality, Elaboration of the 6th grade students in elementary school.

키워드

참고문헌

  1. Youngsik, Jeong et al(2015), Software education. Seoul: Cmass.
  2. Song-il Kim (2001), Transformation of Information Society and School Education in the 21st Century, Ulsan University's Journal of Social Science Vol. 11 No. 2, (115-135)
  3. Choe Byeong Yeong (2018), A Study on the Case of Convergence Classes Using Big Data in High School Politics
  4. Yugeun Ham (2017), Data Integration Strategy in the Big Data Era: Case Analysis of the Public Sector, Information Technology Research, Vol. 14, No. 2. 115-128
  5. Ministry of Education(2015a). 2015 software education guidelines
  6. Ministry of Education(2015c). Practical arts(technology / home economics), Information science curriculum. Ministry of Education Notice No. 2015-74 [Separate 10].
  7. Byengsu Kim (2014) Programming Education Program based on PPS to Improve Computational Thinking Ability
  8. Byengsu Kim (2014), Programming Education Program based on PPS to Improve Computational Thinking Ability
  9. Chul-hyun Lee (2017) Effect of Real Life Problem Solving Learning on the Improvement of Computing Thinking in Elementary School Students
  10. Kim Hyeon Kon, New Information Strategy Using Big Data
  11. Lee Jeong Min, The Effect of Software Education on Middle School Students' Computational Thinking
  12. Kang In-ae, Lee Jae-kyung and Kim Mi-soo(2014), Improving Visual Literacy through Data Visualization- based Art Class: A Case Study of High School.
  13. Seo Sung Won(2010). The Effect of Computational Thinking Ability using TPL and VPL with Robot Programming Education ,Korea National University of Education. Master's Thesis.
  14. Wing, J. M. (2008). "Computational thinking and thinking about computing". <> 366 (1881): 3717. https://doi.org/10.1098/rsta.2008.0118
  15. Kim Jeong Rang,, Analysis of textbook contents according to the 2015 revised Elementary Software Education Achievement Standards.
  16. Ji-seon Lee (2013), A Study on the Visualization Methods and Expression of Information Design for Big Data. A Study on Basic Formation, 14(3), 261-269.
  17. Park Ji-wan and Kim Hyo-young (2011). A Study on the Visualization of Artistic Data. Digital Design Research, 11(3), 194-202.
  18. Keim, D., Mansmann, F., Schneidewind M., Ziegler, H. (2006). Applications of Data Mining Techniques in Higher Education. International Journal of Advanced Computer Science and Applications, 2(3), 80-84.
  19. Park Eung Yong(2018), Jump To Python 2nd edition. http://wikidocs.net/mybook/read/page?pageid=4
  20. Python Software Foundation. (2017), Python about. https://www.python.org/about/
  21. Lee Bum Seok(2011), A Study on Data Conversion Technology for Multidimensional Data Visualization in OLAP

피인용 문헌

  1. 데이터 기반 STEAM 교육을 통한 문제 해결 과정 분석: 대기대순환과 표층 해류 내용을 중심으로 vol.13, pp.3, 2019, https://doi.org/10.15523/jksese.2020.13.3.330
  2. 파이썬을 활용한 중학교 1학년 소인수분해의 수학과 코딩 융합 교수·학습 자료 개발 연구 vol.34, pp.4, 2019, https://doi.org/10.7468/jksmee.2020.34.4.563
  3. Effects of the Problem-Oriented Learning Model on Middle School Students’ Computational Thinking Skills in a Python Course vol.12, 2019, https://doi.org/10.3389/fpsyg.2021.771221
  4. 공공데이터 분석 기반 여성안전 시설지수 시각화: 서울시 중심으로 vol.19, pp.4, 2021, https://doi.org/10.14400/jdc.2021.19.4.019