정보교육학회논문지 (Journal of The Korean Association of Information Education)

  • 제25권6호
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  • Pages.961-972
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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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머신러닝 교육 플랫폼 활용 '분자 구조의 이해'를 위한 융합교육 프로그램 개발

Development of Convergence Education Program for 'Understanding of Molecular Structure' using Machine Learning Educational Platform

  • 투고 : 2021.10.25
  • 심사 : 2021.11.09
  • 발행 : 2021.12.31
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초록

현재까지 진행된 다양한 인공지능 교육 관련 연구 성과에서는 인공지능의 원리와 개념 교육에 관한 내용이 중심이었다. 따라서 본 연구에서는 인공지능을 타 학문과 탈 학문적 융합교육을 할 수 있도록 교육 프로그램을 개발하였다. 중심 교육 내용으로는 고등학교 화학에서 다루고 있는 분자 구조의 이해를 도울 수 있도록 머신러닝을 활용하는 것으로 하였고, 총 8차시 분량으로 설계하였다. 본 연구에서 개발한 프로그램은 전문가 검토를 통해 I-CVI(Item Content Validity Index) 값을 산출하였고, 그 결과 모든 문항이 .80 이상으로 기각되는 항목이 없었으나. 추가 세부 의견을 반영하여 수정 및 완성하였다. 본 연구의 프로그램은 화학 교과와 정보(인공지능) 교과의 내용적 요소를 탈 학문적으로 융합하였기 때문에 학습자로 하여금 융합인재소양이 높아질 수 있을 것으로 기대한다. 또한, 이 교육 프로그램을 위한 별도의 시수 확보가 요구되지 않아 교사에게는 수업 부담을 낮출 수 있을 것이다.

In this study, an educational program was developed so that artificial intelligence could be used as a transdisciplinary convergence education with other disciplines. The main educational content is designed for 8 hours using machine learning to help students understand the molecular structure dealt with in high school chemistry. The program developed in this study calculated the I-CVI (Item Content Validity Index) value through expert review, and as a result, none of the items were rejected with a score of .80 or higher. Because the program of this study combines the content elements of the chemistry subject and the information (artificial intelligence) subject academically, it is expected that the learner will be able to increase the convergence talent literacy. In addition, since it is not required to secure a additional number of hours for this educational program, the burden on teachers may be low.

키워드

과제정보

본 논문은 2019년 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(NRF-2019R1I1A3A01060920).

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