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Analysis of early childhood teachers' perceptions of artificial intelligence and artificial intelligence education: focusing on text mining and associative keyword analysis
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인공지능과 인공지능교육에 대한 유아교사의 인식 분석: 텍스트마이닝과 연상키워드를 중심으로

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Type
Proceeding
Author
Jihoon Oh Gu-Jong Yoo (강릉원주대학교)
Journal
The Korea Open Association for Early Childhood Education 한국열린유아교육학회 학술대회 논문집 한국열린유아교육학회 2024년도 추계국제학술대회
Published
2024.10
Pages
171 - 174 (4page)

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Analysis of early childhood teachers' perceptions of artificial intelligence and artificial intelligence education: focusing on text mining and associative keyword analysis
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The purpose of this study is to investigate the perceptions of early childhood teachers about AI and AI education, and to provide basic data for the introduction of AI and AI education in early childhood education. To this end, a 9-question survey on the perception of AI and AI education and an association keyword survey were conducted on 116 early childhood teachers nationwide for about two months from November 30, 2023 to January 15, 2024. As a result of the survey analysis, early childhood teachers recognized AI as a technology that embodies human abilities, and recognized that AI can be used in various ways, not only for play support but also for administrative tasks. They also expressed many concerns about misuse and addiction to AI, and recognized the need for educational support such as AI ethics education as a way to solve this problem. Early childhood teachers’ perceptions of AI education were generally positive, and they perceived AI education as education about knowledge, skills, and attitudes toward AI. They also recognized that teachers need to have AI understanding and literacy as a competency, and that they need case training, philosophy and ethics training. In early childhood education institutions, they recognized that the age of AI education should be 4-5 years old and the areas should be integrated into five areas, and that AI education should be carried out through play-based operations and cooperation with families and institutions.
#인공지능(artificial intelligence) #인공지능교육(artificial intelligence education) #텍스트 마이닝(text mining) #연상키워드(associative keyword)

Contents

Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 연구 결과
Ⅳ. 결론
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