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- W4366465296 abstract "Objectives The purpose of this study is to analyze major issues and discourses related to early childhood sex education in our society by extracting and analyzing key keywords related to early childhood education from big data that can be collected in online space.
 Methods Using the Textom platform, texts related to ‘childhood sex education’ from July 2017 to June 2022 were mined and refined in the first and second stages. By analyzing the frequency of refined keywords, the basic properties of the network and the centrality of each keyword were analyzed using the top 50 keywords. Afterwards, Ucinet 6 was used to examine the types within the network.
 Results As a result of frequency analysis, ‘storybook’, ‘child’, ‘sex’, ‘education’, ‘book’, ‘parent’, ‘number’, ‘start’, ‘mom’, and ‘kindergarten’ were the highest in order. As a result of testing the significance of the network data between the top 50 keywords, a statistically significant relationship was found between the network data, there was a statistically significant relationship between network data, and the analysis of centrality showed that the top 26 keywords had similar values in closeness and betweenness centrality, so each keyword was closely connected to each other. As a result of the type analysis within the network, ‘early childhood sex education through the media’, ‘family demand for early childhood sex education’, ‘educational awareness of early childhood sex education’, and ‘early childhood sex education through lecture’ appeared.
 Conclusions Through the results of this study, we discussed the development plan by understanding the perception and social context of early childhood sexual education in Korea for the last 5 years. This study is meaningful as basic data for developing various sex education programs based on social understanding of early childhood sex education." @default.
- W4366465296 created "2023-04-22" @default.
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- W4366465296 date "2023-04-15" @default.
- W4366465296 modified "2023-09-26" @default.
- W4366465296 title "Keyword Network Analysis on Early Childhood Sex Education through Big Data" @default.
- W4366465296 doi "https://doi.org/10.22251/jlcci.2023.23.7.799" @default.
- W4366465296 hasPublicationYear "2023" @default.
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