Journal of The Korean Association of Information Education (정보교육학회논문지)

Korea Association of Information Education (한국정보교육학회)
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Analysis of Understanding of Prospective Teachers' Computational Thinking on Artificial Intelligence Education

예비교원의 인공지능교육 기반 컴퓨팅 사고력 이해도 분석

  • Seo, SeongChae (Dept. of Computer Science, Chonnam National University) ;
  • Kim, Chul (Dept. of Computer Education, Gwangju National University of Education)
  • 서성채 (전남대학교 전자컴퓨터공학부) ;
  • 김철 (광주교육대학교 컴퓨터교육과)
  • Received : 2021.01.04
  • Accepted : 2021.01.14
  • Published : 2021.02.26
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Abstract

In the era of the 4th industrial revolution, the world and Korea are presenting the thinking process of computational thinking in order to cultivate future talents, and reflecting them in teaching and learning to conduct software education. As the necessity of artificial intelligence education increases in elementary school computer education, we are trying to cultivate the improvement of computational thinking through artificial intelligence education. In this paper, after examining the relationship between artificial intelligence education and the improvement of computational thinking, we analyzed the understanding of computational thinking of prospective teachers who took artificial intelligence education for one semester. In addition, it was compared and analyzed whether the software education method of prospective teachers affects the understanding of computing thinking ability. As a result of the analysis, it was found that computational thinking, a core competency in the future, can be improved through artificial intelligence education.

4차 산업혁명 시대에 세계와 우리나라는 미래 인재 양성을 위해 컴퓨팅 사고력(Computational Thinking)의 사고 과정을 제시하고, 교수학습에 반영하여 소프트웨어 교육을 수행하고 있다. 초등학교 컴퓨터 교육에서 인공지능 교육의 필요성이 증가하면서 인공지능 교육을 통한 컴퓨팅 사고력 증진을 기르고자 하고 있다. 본 논문에서는 인공지능 교육이 컴퓨팅 사고력 증진과 관계가 있음을 살펴본 후, 한 학기 동안 인공지능 교육을 수업 받은 예비교원의 컴퓨팅 사고력 이해도를 분석하였다. 또한, 예비교원의 소프트웨어 교육 방법에 따라 컴퓨팅 사고력 이해도에 영향을 미치는지 비교 분석하였다. 분석 결과 미래 핵심역량인 컴퓨팅 사고력을 인공지능 교육을 통해 향상시킬 수 있음을 알 수 있었다.

Keywords

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