Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Computational Thinking of Middle School Students in Korea

  • Kim, Seong-Won (Global Institute For Talented Education, KAIST) ;
  • Lee, Youngjun (Dept. of Computer Education, Korea National University of Education)
  • Received : 2020.03.16
  • Accepted : 2020.05.03
  • Published : 2020.05.29
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Abstract

In this study, we developed a test tool to measure the computational thinking ability of middle school students and investigated their computational thinking power using the tool. The test tool used exploratory factor analysis to examine the computational thinking scales of Korkmaz et al. (2017) and derive suitable factors and questions for middle school students in Korea. The developed test tool was applied to 492 middle school students to analyze differences in computational thinking ability according to gender, grade, programming experience, type of programming language, and interest. According to the study, male Korean middle school students had higher computing power than females. In addition, students who had programming experience or used text-based rather than block-based programming languages demonstrated higher computational thinking. There was no significant difference in the computational thinking of middle school students according to grade, and the level of interest in artificial intelligence only had a slight influence on computational thinking.

본 연구에서는 중학생의 컴퓨팅 사고력을 측정하기 위한 검사 도구를 개발하고, 개발한 검사도구를 활용하여 중학생의 컴퓨팅 사고력을 조사하였다. 검사 도구는 Korkmaz, Çakir, & Özden(2017)의 computational thinking scales를 탐색적 요인 분석을 실시하여 한국의 중학생에게 적합한 요인과 문항을 도출하였다. 개발한 검사 도구를 492명의 중학생에게 적용하여 성별, 학년, 프로그래밍 관련 경험, 경험한 프로그래밍 언어의 종류, 관심 정도에 따른 컴퓨팅 사고력의 차이를 분석하였다. 연구 결과, 한국의 중학생은 여성보다 남성의 컴퓨팅 사고력이 높았으며, 프로그래밍 관련 경험이 있거나 텍스트 기반 프로그래밍 언어를 경험하였을 때 컴퓨팅 사고력이 높은 것으로 나타났다. 반면에 학년에 따라 중학생의 컴퓨팅 사고력은 유의한 차이가 없으며, 인공지능에 대한 관심만 중학생의 컴퓨팅 사고력에 유의한 영향을 주었다.

Keywords

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