AI 분류 모델을 활용한 초등 AI·과학 융합 교육프로그램 개발

• 영문명: Development of Elementary AI·Science Convergence Education Program Using An AI Development of Elementary AI·Science Convergence Education Program Using An AI Classification Model
• 발행기관: 한국교원대학교 뇌기반교육연구소
• 저자명: 조영생(Young Saeng Cho) 진우(Yu Chen) 김중복(Jung Bog Kim)
• 간행물 정보: 『Brain, Digital, & Learning』제11권 제2호, 227~243쪽, 전체 17쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2021.06.30

영문 초록

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.

목차

Introduction

Theoretical Background

Methodology

Results and Discussions

Conclusions and Implications

References

키워드

Artificial Intelligence Teachable Machine AI·Science Convergence Education Standard Model of Next-generation Software Education