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논문 기본 정보

자료유형
학술저널
저자정보
조영생 (서울잠실초등학교) 진우 (한국교원대학교 물리교육과) 김중복 (한국교원대학교)
저널정보
한국교원대학교 뇌기반교육연구소 Brain, Digital, & Learning Brain, Digital, & Learning Vol.11 No.2
발행연도
2021.1
수록면
227 - 243 (17page)

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The purpose of this study is to design an artificial intelligence classification model using an AI education platform, and an AI•science convergence program that can be applied to elementary education with the AI classification model. First, an AI classification model was created that has been trained with image data of four representative rock types in the elementary science curriculum. With a recognition rate of 89.1% for the rock samples, it can be fully utilized in the classroom. Based on it, a six-hour-program was developed for elemontary school education. This program was developed based on the 2015 Science Curriculum and the artificial intelligence area of the Standard Model of Next-generation Software Education, and was reviewed by three elementary science education experts and three software education experts to ensure feasibility. The program is easy to be applied to classrooms and will meet the expectations of improving students’ science core competencies and artificial intelligence performance expectation on the Standard Model of Next-generation Software Education.

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