산업융합연구 (Journal of Industrial Convergence)

  • 제19권3호
  • /
  • Pages.61-65
  • /
  • 2021
  • /
  • 2635-8875(pISSN)
  • /
  • 2672-0124(eISSN)
대한산업경영학회 (DAEHAN Society of Industrial Management)
권호 표지
DOI QR코드

DOI QR Code

중·고등학생 대상 아두이노 활용 교육의 효과에 대한 메타분석

The Meta-Analysis on Effects of Arduino-Based Education for Secondary School Students

  • 장봉석 (국립목포대학교 교육학과)
  • 투고 : 2021.04.07
  • 심사 : 2021.06.20
  • 발행 : 2021.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

이 연구는 중학생과 고등학생 대상 아두이노 활용 교육의 효과를 메타분석으로 정리하기 위해 실시되었다. 분석을 위해 선행 학술지와 학위 논문 10편을 선정하였으며, 전체 효과크기와 범주형 변수에 대한 효과크기를 계산하였다. 연구결과는 다음과 같다. 첫째, 중·고등학생 대상 아두이노 활용 교육의 전체 효과크기는 0.537로 나타났다. 둘째, 종속변인 유형의 효과크기는 정의적 영역 0.849, 인지적 영역 0.479로 나타났다. 셋째, 학교급의 효과크기는 중학교 0.796, 고등학교 0.474로 나타났다. 넷째, 교과 유형의 효과크기는 음악 1.255, 과학 0.562, 기술 0.443, 정보 0.429로 나타났다. 다섯째, 프로그램 유형의 효과크기는 그래픽 기반 0.543, 텍스트 기반 0.376으로 나타났다.

This study aimed to analyze effects of Arduino-based education for secondary school students through meta-analysis. Prior studies including journal articles and theses were selected through rigorous review. The researcher calculated the overall effect size and effect sizes by categorical variables. Research findings are as follows. First, the total effect size of Arduino-based education was 0.537. Second, the effect sizes by type of dependent variables were the affective domain 0.849 and the cognitive domain 0.479. Third, the effect sizes by school level were the middle school 0.796 and the high school 0.474. Fourth, the effect sizes by subject areas were music 1.255, science 0.562, technology 0.443, and information 0.429. Fifth, the effect sizes by types of programming were the graphic-based programming 0.543 and the text-based programming 0.376.

키워드

참고문헌

  1. Department for Education. (2015). 2015 National revised curriculum. Sejong; Department for Education.
  2. Choi, Y. (2020). Developing a Specialization for LAM Convergence Using a Competency-Based Approach in an LIS Graduate Curriculum. Journal of Education for Library and Information Science, 61(2), 212-228. https://doi.org/10.3138/jelis.2019-0044
  3. Lano, R. P. (2020). Variations on a Theme: Physical Computing. Independently published.
  4. Culkin, J. & Hagan, E. (2017). Learn Electronics with Arduino: An Illustrated Beginner's Guide to Physical Computing (Make: Technology on Your Time). Make Community, LLC.
  5. Salomsbury, A. (2021). Arduino: 2021 Updated User Guide to Learn Arduino Programming Step by Step.
  6. Edstrom, B. (2016). Arduino for Musicians: A Complete Guide to Arduino and Teensy Microcontrollers. Oxford University Press.
  7. Blum, J. (2019). Exploring Arduino: Tools and Techniques for Engineering Wizardry, Wiley.
  8. Jamieson, P. (2011). Arduino for teaching embedded systems. Are computer scientists and engineering educators missing the boat? In Proceedings of the International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS), pp. 289-294.
  9. Cooper, H. M. (2009). Research synthesis and meta-analysis: A step by step approach (4th ed.). Thousand Oaks, CA: Sage.
  10. Cooper, H. M., Hedges, L. V. & Valentine, J. (2008). The handbook of research synthesis and meta-analysis. NY: Russell Sage Foundation.
  11. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.