발간년도 : [2021]
| 논문정보 |
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| 논문명(한글) |
[Vol.16, No.3] A Direction of Support Through Analysis of Win-win Issues for Children After COVID-19 Through Big Data: Focusing on Keyword Connection, Proximity, and Medial Center |
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| 논문투고자 |
Bo-Yeon Kim, Ji-Young Choi |
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| 논문내용 |
The purpose of this study is to provide difficulties and support directions by analyzing issues about 'remote early childhood classes' in the early childhood education environment in accordance with the social distancing policy after COVID-19. Through Textom, a big data site, data were collected by entering keywords "infant+online class" and "infant+remote class" and analyzing data using UCINET6 analysis program. According to the study, the top 50 keywords were 'infant', 'class', 'online', and 'education'. Second, keywords such as "infant", "play" and "provide" were found to be close to the center of connection, and "research", "data" and "environment" showed high connections to the center of intervention. Third, CONCOR analysis resulted in a total of eight clusters. Finally, the monthly collection was the highest in January 2021. Therefore, it should be properly settled through various support and efforts to provide classes suitable for the level of development of infants by maximizing the advantages of remote classes in early childhood education sites. Based on these results, we explore social awareness of issues related to early childhood remote classes and provide implications for future remote classes provision. |
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