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알고리즘, 프로그래밍, 로봇과 컴퓨팅 영역의 성취 기준과 컴퓨팅 사고력의 관련성 연구

A Study of the Connection between Achievement Criteria and Computational Thinking in the Areas of Algorithms, Programming and Robotics, and Computing

  • 정영식 (전주교육대학교 컴퓨터교육과) ;
  • 신수범 (공주교육대학교 컴퓨터교육과) ;
  • 성영훈 (진주교육대학교 컴퓨터교육과)
  • 투고 : 20161200
  • 발행 : 2017.02.28

초록

소프트웨어 교육과 관련된 교육과정이나 운영지침에 포함된 Computational Thinking(CT)의 개념과 구성 요소가 서로 달라서 학교 현장에서 CT를 기반으로 한 소프트웨어 교육을 정착시키는 데 어려움을 겪고 있다. 따라서 본 연구에서는 전문가 델파이 조사 결과를 토대로, CT에 대한 용어를 '컴퓨팅 사고력'으로 통일하였고, CT의 구성 요소를 문제 정의, 자료 분석, 추상화, 자동화, 일반화 등 5가지로 구분하였다. 또한, 한국정보교육학회에서 개발한 정보과 교육과정 표준 모델에서 컴퓨팅 사고력과 관련성이 높은 소프트웨어 영역을 선정하여, 하위 영역별 성취 기준과 관련성이 높은 컴퓨팅 사고력이 무엇인지를 조사하여 제시하였다.

Because the concepts and components of computational thinking included in the Information Education Curriculum and the Software Education Guidelines are different, it has been difficult to establish computational thinking-based software education in schools. Therefore, this study, which is based on the Delphi survey results from 39 experts, we defined computational thinking as 'computing thinking' and separated the components of computational thinking into five main categories: (1) problem definition, (2) data analysis, (3) abstraction, (4) automation, and (5) generalization. In addition, we selected software areas that are strongly related to computational thinking in the KAIE's information Curriculum Standard Model and surveyed experts to decide which computing thinking components are related to the achievement criteria of the software areas.

키워드

참고문헌

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피인용 문헌

  1. 컴퓨팅 사고력 기반 지구과학 언플러그드 활동의 효과와 시사점 탐색: 고체지구 영역의 문제해결을 중심으로 vol.14, pp.2, 2017, https://doi.org/10.15523/jksese.2021.14.2.80