정보교육학회논문지 (Journal of The Korean Association of Information Education)

  • 제22권1호
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  • Pages.41-52
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  • 2018
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  • 1229-3245(pISSN)
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  • 2733-8428(eISSN)
한국정보교육학회 (Korea Association of Information Education)
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비전공자 예비교사의 컴퓨팅 사고력 함양을 위한 프로그래밍 교육의 효과성 분석

Analysis of Effectiveness of Programming Learning for Non-science Major Preliminary Teachers' Development of Computational Thinking

  • 투고 : 2017.12.05
  • 심사 : 2017.12.27
  • 발행 : 2018.02.28
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초록

컴퓨팅 사고력은 디지털 사회에서 핵심 인재로 성장하기 위한 기초 학습 능력으로서 강조되고 있다. 국가적으로 컴퓨팅 교육에 대해 많은 관심과 논의가 이루어지고 있으며, 이에 우리 정부도 컴퓨팅 교육을 교육과정에 포함시켰다. 이 같은 변화에 따라 예비교사들이 갖추어야 하는 컴퓨터 활용 능력의 수준이 높아지고, 디지털 사회에 맞추어 컴퓨팅 사고력 지도자로서의 역할이 교사들에게 강조되고 있다. 따라서 예비 교사 양성 교육과정에서 부터의 다양한 프로그래밍 학습을 통해 컴퓨팅 사고력을 이해할 수 있는 교육과정이 필요하다. 본 연구에서는 비전공자 예비교사를 대상으로 한 프로그래밍 교육과정을 설계하고 교육을 진행하였으며, 개발한 설문 도구를 통해 비전공자 예비교사의 컴퓨팅 사고력 함양에 대한 프로그래밍 교육의 효과성을 분석하였다.

In Computational thinking is emphasized as a basic learning ability to grow into a key talent in the digital society. There is much interest and discussion on computing education nationally, and the Korean government has also included education in the curriculum. As a result of these changes, the level of computer literacy that preliminary teachers need to be imporved, and the role of computational thinking as a leader in digital society is being emphasized by teachers. Therefore, it is necessary to have a curriculum that can understand computational thinking through various programming learning from preliminary teacher education curriculum. In this study, we designed and taught programming curriculum for non-majored preliminary teachers. Through the developed questionnarie, we analyzed the affect of programming education on the preliminary teacher's development of computational thinking ability.

키워드

참고문헌

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  1. 교육요구분석을 통한 계산과학분야의 고성능컴퓨팅 지식요소에 관한 연구 vol.22, pp.5, 2018, https://doi.org/10.14352/jkaie.2018.22.5.545
  2. 컴퓨팅 사고력 평가에 관한 시스템 매핑 기반 국내 문헌 고찰 vol.22, pp.6, 2018, https://doi.org/10.32431/kace.2019.22.6.003
  3. 예비교사를 위한 게임 프로그래밍 교육모델 4E 개발 vol.23, pp.6, 2018, https://doi.org/10.14352/jkaie.2019.23.6.561
  4. 파이선(Python) 학습을 위한 평가 프로세스 설계 vol.24, pp.1, 2018, https://doi.org/10.14352/jkaie.2020.24.1.117