Journal of The Korean Association of Information Education (정보교육학회논문지)

Korea Association of Information Education (한국정보교육학회)
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A Study on Experts' Perception Survey on Elementary AI Education Platform

초등 AI 교육 플랫폼에 대한 전문가 인식조사 연구

  • Lee, Jaeho (Dept. of Computer Education, Gyeongin Nat'l University of Education) ;
  • Lee, Seunghoon (Jangil Elementary School)
  • 이재호 (경인교육대학교 컴퓨터교육과) ;
  • 이승훈 (장명초등학교장일분교)
  • Received : 2020.09.25
  • Accepted : 2020.10.11
  • Published : 2020.10.31
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Abstract

With the advent of the 4th Industrial Revolution, interest in AI education is increasing. In order to cultivate talented people with AI competencies who will lead the future, AI education must be conducted in a sound manner at the school site. Although AI education is being conducted at home and abroad, it was determined that the role of the AI education platform is important to implement better AI education, so this study investigated the perception of experts on the AI education platform. A perception survey was conducted based on five criteria: teaching and learning management, educational contents, accessibility, performance of AI education platform, and level suitability of elementary school students. As a results, the number of 103 educational experts selected 'Entry' as the most proper platform among the eight platforms - 'Machine learning for Kids', 'Teachable Machine', 'AI Oceans(code.org)', 'Entry', 'Genie Block', 'Elice', 'mBlock' and etc. Analysis shows that this is because 'Entry' provides quality educational content, has convenient accessibility, is easy to manage teaching and learning, as well as an AI education platform suitable for the level of elementary school. In order to apply various AI education platforms to the school field, it is necessary to train teachers in AI-related training to train them as AI education experts, and to continuously provide opportunities to experience AI education platforms. In this study, there are limitations to what is called 'a population perception survey'. because only 103 people were surveyed, and most of the experts are working in a specific area(Gyeonggi-do). In the future, it is judged that research targeting experts at the national level should be conducted to supplement these limitations.

4차 산업혁명이 도래함으로써 AI 교육에 대한 관심이 증가하고 있다. 미래를 이끌어갈 AI 역량을 갖춘 인재를 양성하기 위해서는 학교 현장에서 AI 교육이 내실 있게 이루어져야 한다. 국내·외에서 AI 교육을 시행하고 있지만, 더 나은 AI 교육을 시행하기 위해서는 AI 교육 플랫폼의 역할이 중요하다고 판단하였기에, 본 연구에서는 AI 교육 플랫폼에 대한 전문가 인식을 조사하였다. 교수·학습관리, 교육용 콘텐츠, 접근성, AI 교육 플랫폼의 성능, 초등학생의 수준 적합도 등의 5가지 기준을 바탕으로 인식조사를 시행하였다. 총 103명의 교육 관련 전문가들을 대상으로 실시하였으며, 조사 결과 Machine Learning for Kids, Teachable Machine, AI Oceans(code.org), 엔트리, 지니 블록, 앱인밴터, Elice, mBlock 등의 8가지 플랫폼 중 엔트리가 초등 AI 교육에 가장 적합한 플랫폼으로 선정되었다. 이는 엔트리가 양질의 교육용 콘텐츠를 제공하고, 접근성이 편리하며, 교수·학습 관리가 가능하고, 초등학생들의 수준에 적합한 AI 교육 플랫폼이기 때문인 것으로 분석된다. 다양한 AI 교육 플랫폼을 학교 현장에 적용하기 위해서 교사를 대상으로 AI 관련 연수를 실시하여 AI 교육 전문가로 양성해야 하며, 지속적으로 AI 교육 플랫폼을 접할 기회를 제공해야 할 것이다. 본 연구는 조사대상 인원이 제한적이었고, 대부분의 인식조사 참여자가 경기도에서 근무하는 전문가라서 모집단 인식조사라고 하기 에는 제한점이 존재한다. 향후 이와 같은 제한점을 보완하기 위한 전국단위의 전문가를 대상한 연구가 진행되어야 할 것으로 판단된다.

Keywords

Acknowledgement

이 논문는 2020년 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기본연구 사업임 (2020R1F1A107170511)

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