키워드 네트워크 분석을 활용한 중국에서 이루어진 창의성 관련 연구동향 분석

Abstract

The purpose of this study is to analyze trends in creativity research in China using keyword network analysis. It aims to identify the characteristics of studies related to creativity conducted in China and provide implications for future research in this area. To achieve this, 1680 keywords were extracted from 427 papers, including dissertations and academic journal articles published on the Chinese academic paper site CNKI from 2010 to 2022. After refining the extracted keywords, a keyword matrix was constructed, and the keywords were analyzed using UCINET. The analysis revealed several findings. Firstly, “creativity (創意性)” emerged as the most frequently extracted keyword, followed by “originality (獨創性),” “graphic design (平面設計),” “aesthetics (審美性),” “creative thinking (創意性思維),” “early childhood education (幼兒教育),” “package design (包裝設計),” “design (設計),” “sketch teaching (寫生教學),” and “creative design (創意設計).” Secondly, the entire network comprised a single component with organic connections between keywords, with “creativity” exhibiting high degrees of centrality. Thirdly, to delve into the internal meaning of each subnetwork, the ego network of the top four keywords—'creativity (創意性),' 'packaging design (包裝設計),' 'aesthetics (審美性),' and 'design (設計)'—was analyzed and visualized. Through this macro-level exploration, the study aimed to provide insights into the major trends and topics of research related to creativity in China from 2010 to 2022, offering guidance for subsequent researchers to delve more comprehensively into creativity research trends in China.