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Predicting the Effect of Puzzle-based Computer Science Education Program for Improving Computational Thinking

컴퓨팅 사고력 신장을 위한 퍼즐 기반 컴퓨터과학 교육 프로그램의 효과 예측

  • Received : 2019.09.08
  • Accepted : 2019.10.30
  • Published : 2019.10.31

Abstract

The preceding study of this study developed puzzle-based computer science education programs to enhance the computational thinking of elementary school students over 1 to 3 times. The preceding study then applied such programs into the field, categorized the effects of education into CT creativity and CT cognitive ability to improve the education programs. Based on the results of these preceding studies, the hierarchical Bayesian inference modeling was performed using age and CT thinking ability as parameters. From the results, this study predicted the effectiveness of puzzle-based computer science education programs in middle and high schools and proposed major improvement areas and directions for puzzle-based computer science education programs that are to be deployed in the future throughout middle and high schools.

본 연구의 선행 연구에서는 1~3차에 걸쳐 초등학생의 컴퓨팅 사고력 신장을 위한 퍼즐 기반 컴퓨터과학 교육 프로그램을 개발하여 현장에 투입하며 교육 효과를 CT창의성과 CT인지력으로 나눠 검증하고 교육 프로그램을 개선해왔다. 본 연구에서는 이러한 선행 연구 결과를 바탕으로 연령과 CT사고력 하위 요소를 매개 변수로 사용하여 계층적 베이지안 추론 모델링을 실시하였다. 그리고 그 결과를 바탕으로 중 고등학교에서 퍼즐 기반 컴퓨터과학 교육 프로그램의 효과를 예측하고 향후 투입할 중 고등학교의 퍼즐 기반 컴퓨터과학 교육 프로그램의 주요 개선 항목과 개선 방향을 제안하였다.

Keywords

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