정보교육학회논문지 (Journal of The Korean Association of Information Education)

  • 제25권5호
  • /
  • Pages.751-759
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  • 2021
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  • 1229-3245(pISSN)
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  • 2733-8428(eISSN)
한국정보교육학회 (Korea Association of Information Education)
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지역화 공공데이터 기반 초등학생 머신러닝 교육 프로그램 개발

Development of Machine Learning Education Program for Elementary Students Using Localized Public Data

  • 투고 : 2021.09.10
  • 심사 : 2021.09.24
  • 발행 : 2021.10.29
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초록

본 연구는 초등학생의 컴퓨팅 사고력 향상을 위한 교육 방법으로 지역화 공공데이터를 활용한 인공지능 교육프로그램을 개발하고 그 효과를 검증하였다. ADDIE 모형에 따라 초등학생을 대상으로 사전 요구 분석을 진행한 결과를 바탕으로 프로그램 설계를 진행하였다. 지역화 공공데이터를 기반으로 머신러닝 포 키즈와 스크래치를 활용하여 인공지능 원리를 학습하고 공공데이터를 목적에 맞게 추상화하는 과정을 통해 문제를 해결하고 컴퓨팅 사고력을 향상할 수 있도록 교육 프로그램을 개발하고 적용하였다. 비버챌린지를 활용하여 사전·사후 검사결과를 통해 컴퓨팅 사고력의 변화 정도를 분석하였으며, 분석 결과 본 연구는 초등학생의 컴퓨팅 사고력 향상에 긍정적인 영향을 미친 것으로 나타났다.

This study developed an artificial intelligence education program using localized public data as an educational method for improving computing thinking skills of elementary school students. According to the ADDIE model, the program design was carried out based on the results of pre-requisite analysis for elementary school students, and textbooks and education programs were developed. Based on localized public data, the training program was constructed to learn the principles of artificial intelligence using machine learning for kids and scratches and to solve problems and improve computational thinking through abstracting public data for purpose. It is necessary to put this training program into the field through further research and verify the change in students' computational thinking as a result.

키워드

참고문헌

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