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The Effects of Instructional Strategies Using the Process of Procedural Thinking on Computational Thinking and Creative Problem-Solving Ability in Elementary Science Classes

초등과학 수업에서 절차적 사고과정을 활용한 학습 전략이 컴퓨팅 사고력과 창의적 문제해결력에 미치는 효과

  • Received : 2019.12.02
  • Accepted : 2019.12.30
  • Published : 2019.12.30

Abstract

The purpose of this study is to investigate the effects of instructional strategies using the process of procedural thinking in elementary science classes on students' computational thinking and creative problem solving ability. For this purpose, instructional strategies using the process of procedural thinking for science class were developed and applied. The objects of this study were 6th graders from an experimental class (29 students) and a comparative class (29 students) at S elementary school in Gimpo City. The results of the study are as follows: First, as a result of examining the difference in the computational thinking ability between experimental group and comparative group, the experimental group scored higher than the comparative group, but there was no statistically significant difference. Second, the creative problem solving ability of the experimental group after applying this program was higher, and statistically significant differences were observed (p < .05).

이 연구의 목적은 초등 과학 수업에서 절차적 사고 과정을 사용하여 학생들의 컴퓨팅적 사고와 창의적 문제해결 능력에 대한 교수 전략의 효과를 알아보는 것이다. 이를 위해 과학수업에서 활용할 수 있는 절차적 사고 과정을 이용한 수업 전략이 개발하여 적용하였다. 이 연구의 대상은 김포시에 있는 S 초등학교의 실험반(29 명)과 비교반(29 명)의 6학년 학생이었다. 연구 결과는 다음과 같다. 첫째, 초등과학 수업에서 절차적 사고과정의 수업전략을 활용한 실험반 학생들의 컴퓨팅 사고력은 비교반 학생들에 비해 높아졌으나 통계적으로 유의한 차이가 없었다. 둘째, 실험반 학생들의 창의적 문제 해결력에 있어서도 비교반 학생보다 높게 향상되었고 이는 통계적으로 유의한 차이가 있음을 알 수 있었다(p < .05).

Keywords

References

  1. Choi, S. Y., & Kim, J. (2011). The effects on students' leaning types through the creative problem solving teaching model in elementary science class. Journal of Korean Elementary Science Education, 30(4), 615-623. https://doi.org/10.15267/KESES.2011.30.4.615
  2. Choi, S. Y., & Kang, H. K. (2006). Development of the scientific creative problem solving test for the selection of gifted science students in elementary school. Journal of Korean Elementary Science Education, 25(1), 27-38.
  3. Gott, R., & Duggan, S. (1995). Investigative work in the science curriculum. Buckingham, UK: Open University Press.
  4. Hur, K. (2018). An educational application of an IoT device development task for visualization of computational thinking processes. The Journal of Education, 38(3), 255-267.
  5. Hwang, A. R. (2018). Teaching & learning method and application of flow chart for procedural thinking (Unpublished master's thesis). Seoul National University of Education, Seoul, Korea.
  6. Jones, A. T., Simon, S. A., Black, P. J., Fairbrother, R. W., & Watson, J. R. (1992). Open work in science: Development of investigations in schools. Hatfield, AL: Association for Science Education.
  7. Jung, U., & Lee, Y. (2017). The applicability and related issues of Bebras Challenge in informatics education. The Journal of Korean association of computer education, 20(5), 1-14. https://doi.org/10.32431/KACE.2017.20.5.001
  8. Kang, E. H. (2019). Effects of software education using app inventory on computing thinking and creative problem solving ability (Unpublished Master's thesis). Hanbat National University, Daejeon, Korea.
  9. Kim, J. (2016). Development and application of EPL and physical computing curriculum in elementary schools for computational thinking (Unpublished Master's thesis). Cheongju National University of Education, Cheongju, Korea.
  10. Kim, Y., & Kim, J. (2015). Development and application of software education program of App inventor utilization for improvement of elementary school girls' computational thinking. Journal of The Korean Association of information Education, 19(4), 385-398. https://doi.org/10.14352/jkaie.2015.19.4.385
  11. Kwon, J., & Kim, J. (2018). A study on the relationship between SW programming education and creative problem solving. Journal of the Society of E-learning, 3(1), 1-9.
  12. Kwon, Y.-J., Jeong, J.-S., Park, Y.-B., & Kang, M.-J. (2003). A philosophical study on the generating process of declarative scientific knowledge-focused on inductive, abductive, and deductive processes. Journal of the Korean Association for Science Education, 23(3), 215-228.
  13. Lee, E. (2009). A robot programming teaching and learning model to enhance computational thinking ability (Unpublished doctoral dissertation). Korea National University of Education, Chung-Buk, Korea.
  14. Lee, S., & Kwon, N. (2018). The effects of elementary science class using SW on students' problem solving skills and scientific attitude. The Journal of Education, 38(2), 289-304.
  15. Ministry of Education [MOE]. (2015a). General guideline draft for the 2015 National Curriculum. Sejong, Korea: Author.
  16. Ministry of Education [MOE]. (2015b). 2015 Science education Curriculum. Sejong, Korea: Author.
  17. Ministry of Education [MOE]. (2015c). 2015 Software education operating guide. Sejong, Korea: Author.
  18. Ministry of Education [MOE]. (2015d). 2015 6th grade elementary science teacher' guide. Sejong, Korea: Author.
  19. Moon G. S. (2013). On learning algorithms for introducing computational thinking. Journal of The Korean Association of information Education, 4(1), 295-300.
  20. Moursund, D. G. (2006). Computational thinking and math maturity: improving math education in K-8 School. Eugene, OR: University of Oregon Press.
  21. Park, H. (2018). The effects of project-based robot programming education on interests in robots and computational thinking of elementary school students (Unpublished Master's thesis). Korea National University of Education, Chung-Buk, Korea.
  22. Park, J. (2012). Analysis of the relationship between computational thinking ability and infant play (Unpublished Master's thesis). Korea University, Seoul, Korea.
  23. Park, Y. J. (2014). A study on the effects of conceptual algorithms to algorithm interest and algorithmic thinking development with graph coloring (Unpublished Master's thesis). Daegu National University of Education, Daegu, Korea.
  24. Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking; A guide for teacher. Retrieved from http://computingatschool.org.uk/computationalthinking
  25. Roychoudhury, A., & Roth, W. M. (1996). Interaction in an open-inquiry physics laboratory. International Journal of Science Education, 18(4), 423-445. https://doi.org/10.1080/0950069960180403
  26. Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of The Royal Society, 366(1881), 3717-3725.

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