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Exploring the selection factors and needs of kindergartens and daycare centers for parents of 3-year-old infants: Focusing on the semantic network analysis method
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만 3세 유아 학부모의 유치원 및 어린이집 선택 요인과 요구 탐색: 의미연결망 분석방법을 중심으로

논문 기본 정보

Type
Academic journal
Author
Lee So Jung (대전유성어린이집) Seo Yoon Hee (한국교원대학교)
Journal
The Korea Society for Children's Media Journal of Children's Media & Education Vol.22 No.2 KCI Accredited Journals
Published
2023.6
Pages
47 - 77 (31page)
DOI
10.21183/kjcm.2023.06.22.2.47

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Exploring the selection factors and needs of kindergartens and daycare centers for parents of 3-year-old infants: Focusing on the semantic network analysis method
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Research history (3)

2023

Exploring the selection factors and needs of kindergartens and daycare centers for parents of 3-year-old infants: Focusing on the semantic network analysis method
Lee So Jung ,  Seo Yoon Hee Journal of Children’s Media & Education 2023.06 Academic journal
Exploring the factors and needs of parents of 3-year-old infants to choose kindergartens and daycare centers: Focusing on semantic network analysis method
이소정 유아교육학과 2023.01 Thesis

2022

만 3세 유아 학부모의 유치원 및 어린이집 선택 요인과 요구 탐색: 의미연결망 분석방법을 중심으로
이소정 ,  서윤희 한국어린이미디어학회 학술대회 자료집 2022.10 Proceeding
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Abstract· Keywords

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The purpose of this study was to explore the perception structure of parents of 3-year-old infants’ selection factors and needs for kindergartens and daycare centers through the semantic network analysis method. The subjects of the study were 400 parents of 3-year-old infants who were sending their children to kindergartens and daycare centers located in the Daejeon and Chungcheong areas, and data were collected through open questionnaires on institutional selection factors and needs. NetMiner 4 was used for data processing and analysis and frequency analysis, centrality analysis, and community analysis were conducted. The results of the study are enumerated herein. First, looking at the institutional selection factors, the analysis of frequency showed that the ‘distance’ was commonly high. The centrality analysis showed that ‘teacher’ and ‘distance’ were commonly high in degree and betweenness centrality, but, in the Eigenvector centrality, kindergartens had high ‘teachers’ and daycare centers had high ‘distance’. As a result of community analysis, ‘easy attendance’, ‘teacher and organizational climate’ and ‘various educational experiences’ were commonly found, while kindergartens were associated with ‘peripheral reputation’ and daycare centers were associated with ‘care operation management’. Second, looking at the needs of institutions, the analysis of frequency showed that ‘satisfaction’, ‘activity’, ‘teacher’, ‘education’ and ‘experience’ were commonly high. As a result of the centrality analysis, ‘activity’ and ‘education’ were commonly high, while the keywords ‘friend’ for kindergartens and ‘child abuse’ for daycare centers were found. As a result of community analysis, ‘various educational experiences’, ‘number of infants and teachers per class’ and ‘easy attendance’ were commonly found, while kindergartens were associated with ‘special activities’ and daycare centers were associated with ‘prevention of child abuse’.
#유치원(kindergarten) #어린이집(daycare center) #선택요인 및 요구(selection factors and needs) #의미연결망 분석(semantic network analysis method)

Contents

국문초록
Ⅰ. 연구의 필요성 및 목적
Ⅱ. 연구방법
Ⅲ. 연구결과
Ⅳ. 논의 및 제언
참고문헌
Abstract

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