키워드 네트워크 분석 방법을 활용한 유아교육에서의 디지털 관련 연구 동향

Abstract

This study aimed to analyze the trends in research related to digital aspects in early childhood education by collecting relevant research and conducting keyword network analysis to understand the evolving connections among key terms. The goal was to identify any changes or emerging patterns in research on digital technology and young children. The goal was to identify any emerging patterns or changes in the field of research on young children and digital technology. To achieve this, a total of 661 academic papers were collected from scholarly databases (RISS, KCI, KISS) by searching for keywords such as 'young children digital', 'media', 'smart', 'multimedia', and 'edutech'. Keywords were extracted from these papers after refinement. The analysis included frequency distribution, network visualization, and centrality analysis of the extracted keywords. The research findings are as follows: The research findings indicate, firstly, that studies related to digital technology and young children have shown a consistent increase in trends since 2011. Key keywords such as 'utilization,' 'young children,' 'media,' 'perception,' 'early childhood educators,' and 'digital' emerged as prominent in this research. Secondly, an examination of the research trends over different time periods revealed that studies have increasingly focused on the 'utilization' of 'multimedia', 'smart', and 'digital' technologies, driven by shifts in educational paradigms due to digital transformation. Recently, 'digital', 'play', 'competence' have emerged as central keywords. The outcomes of this study provide valuable insights for educators and children navigating the digital society, aiding in various aspects of support and guiding future research directions.