Journal of The Korean Association of Information Education (정보교육학회논문지)

Korea Association of Information Education (한국정보교육학회)
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AI Education Programs for Deep-Learning Concepts

딥러닝 개념을 위한 인공지능 교육 프로그램

  • Ryu, Miyoung (Dept. of Computer Education, Gyeong-in National University of Education) ;
  • Han, SeonKwan (Dept. of Computer Education, Gyeong-in National University of Education)
  • 류미영 (경인교육대학교 컴퓨터교육과) ;
  • 한선관 (경인교육대학교 컴퓨터교육과)
  • Received : 2019.11.18
  • Accepted : 2019.12.16
  • Published : 2019.12.31
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Abstract

The purpose of this study is to develop an educational program for learning deep learning concepts for elementary school students. The model of education program was developed the deep-learning teaching method based on CT element-oriented teaching and learning model. The subject of the developed program is the artificial intelligence image recognition CNN algorithm, and we have developed 9 educational programs. We applied the program over two weeks to sixth graders. Expert validity analysis showed that the minimum CVR value was more than .56. The fitness level of learner level and the level of teacher guidance were less than .80, and the fitness of learning environment and media above .96 was high. The students' satisfaction analysis showed that students gave a positive evaluation of the average of 4.0 or higher on the understanding, benefit, interest, and learning materials of artificial intelligence learning.

본 연구는 초등학생의 딥러닝 개념 학습을 위한 교육 프로그램을 개발하는 것이다. 교육 프로그램의 모델은 CT요소 중심 모델을 토대로 딥러닝 교수학습모델을 개발하였다. 개발한 프로그램의 주제는 인공지능의 이미지 인식 CNN알고리즘으로 정하고, 9개 차시 교육프로그램을 개발하였다. 프로그램은 6학년을 대상으로 2주간에 걸쳐 적용을 하였다. 프로그램에 대한 학습 적합도 검사는 전문가 타당도 분석 결과로 CVR이 타당하게 나왔다. 학습자 수준 적합도와 교사 지도 수준의 적합도 문항의 경우 .80이하로 나타났으며 .96이 넘은 학습 환경과 매체의 적합도 문항에서는 높게 나타났다. 학생들의 만족도 분석 결과 학습의 이해도와 유익성, 흥미도, 학습자료 등에 대해서 평균 4.0이상을 보여 긍정적인 평가를 하여 본 연구의 가치를 확인할 수 있었다.

Keywords

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