DOI QR코드

DOI QR Code

Development of UMC Teaching and Learning Strategy for Computational Thinking

컴퓨팅 사고 향상을 위한 UMC 수업전략의 개발과 적용

  • Jeon, Soojin (Dept. of Computer Education, Gyeong-in National University of Education) ;
  • Han, Seonkwan (Dept. of Computer Education, Gyeong-in National University of Education)
  • 전수진 (경인교육대학교 컴퓨터교육과) ;
  • 한선관 (경인교육대학교 컴퓨터교육과)
  • Received : 2016.02.27
  • Accepted : 2016.04.14
  • Published : 2016.04.30

Abstract

We have developed a UMC (Use-Modify-Create) strategy for the improvement of computational thinking in SW education. UMC model is an instructional strategy that students analyze examples of algorithms, modify-expand it and to develop new SW. First, we applied the UMC classes during 1 semester targeting pre-service teachers. To explore the effectiveness of the proposed model, we conducted a t-test for improving students' self-CT. Through a result, we found that is the UMC teaching-learning strategy helped the CT concepts and practice skills. In addition, we could see the Use and Create steps help to improve the ability of students' CT than directly teaching and Modify steps.

본 연구에서는 SW교육에서 Computational Thinking의 향상을 위한 놀이활동 중심의 UMC(Use-Modify-Create) 전략을 개발하였다. UMC 수업 전략은 학생들이 예제 알고리즘을 분석하고 이를 수정, 확장하여 새로운 SW를 개발하는 모형이다. 먼저 예비교사를 대상으로 1학기 동안 UMC 수업을 적용하였다. UMC전략에 대한 학생들의 self-CT 향상에 대한 t-검사 결과, UMC 수업전략이 CT개념과 실습능력에 도움을 주었다. 또한 Modify 단계와 직접교수식 단계보다 Use단계와 Create 단계의 탐색과 자기주도적 개발과정이 CT능력 향상에 도움을 주고 있음을 알 수 있었다.

Keywords

References

  1. E. K. Lee (2009). Robot Programming Teaching and Learning Model to Enhance Computational Thinking Ability, Korea National University of Education, Doctoral Thesis.
  2. J. M. Wing (2008). Computational thinking and thinking about computing. Philosophical transactions of the Royal Society A, 366, 3717-3725. https://doi.org/10.1098/rsta.2008.0118
  3. J. S. Kim, S. K. Han, S. H. Kim, S. W. Jung, J. M. Yang, E. D. Jang, J. N. Kim (2016). Study on Development of Teaching and Learning Model for SW Education, Korea Education Development Institute & KERIS Research Report.
  4. K. Brennan, C. Balch, M. Chung (2015). Creative Computing Guide Book, Harvard University.
  5. K. Brennan, M. Resnick (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 annual meeting of the American Educational Research Association, Vancouver, Canada. 2012(1), 1-25.
  6. K. J. Chae, J. H. Kim, T. Y. Kim (2012). The Instructional Design of Programming based on Discovery Learning Model for Elementary School Students. Proceeding of Conference of The Korean Association of Computer Education, 16(1), 52-56.
  7. M. Y. Ryu, S. K. Han (2015). Development of Computational Thinking-based Educational Program for SW Education. Journal of The Korean Association of Information Education, 19(1), 11-20. https://doi.org/10.14352/jkaie.2015.19.1.11
  8. S. H. Kim, S. K. Han (2012). Design-Based Learning for Computational Thinking. Journal of The Korean Association of Information Education, 16(3), 319-326.
  9. S. K. Han (2015). Teaching and Learning Strategies for SW Education, Creative Computing Issue Report 2015-1, http://computing.or.kr
  10. W. Allan, B. Coulter, J. Denner, J. Erickson, I. Lee, J. Malyn-Smith, F. Martin (2010). Computational thinking for youth. White Paper for the ITEST Small Working Group on Computational Thinking (CT).

Cited by

  1. 컴퓨팅 사고력 평가에 관한 시스템 매핑 기반 국내 문헌 고찰 vol.22, pp.6, 2016, https://doi.org/10.32431/kace.2019.22.6.003