With the advent of the 4th industrial revolution in the 21st century, political and economic changes in countries around the world are becoming clear, and modern information technologies such as the Internet, cloud, big data, intelligent robots, and 5G are also developing innovatively. The core competitiveness between countries has changed to competition for creative talent. Therefore, university education, which is the center of nurturing creative talent, is also receiving a lot of attention from around the world. Creative education in universities has also become an area of imitative learning.
This study extracted keywords from previous studies on university creativity education in China over the past 10 years and extracted the top 50 keywords as research subjects. Social network analysis for 50 keywords is performed using Ucinet 6.0 software. Specifically, network density analysis, accessibility analysis, module analysis, core-edge region analysis, centrality analysis, and structural vacancy analysis were performed in macro, mesoscopic, and microscopic aspects. Based on this, the following conclusions were drawn.
First, the creative education of Chinese universities through macro-level, network density and accessibility analysis. This research topic covers a wide range and contains various contents. In this network, the connection between keywords is relatively loose, not closely connected with each other, and the connection trend of department development is not clear. However, the keyword system of the topic 'Creative Education in Chinese Universities' is a relatively complete network.
Second, through the analysis of intermediate dimensions, modules, and core-edge areas, four modules of the current 'Creativity Education in Chinese Universities' research topics are related to creativity, related to reform, related to process, and related to talent. , and it can be seen that some degree of core-edge relationship exists in this keyword network.
Third, from the data obtained by measuring the three centralities of network members at the microscopic level, it can be seen that these three data are identical. Keywords such as 'university students', 'innovative entrepreneurship', 'talent cultivation' and 'educational reform' are at the center of the entire network and are relatively basic fields in the study of 'creative education in Chinese universities'. Combining the results of keyword centrality and structural vacuum analysis, it can be seen that the keyword creativity is in the structural vacuum. Because keywords can be comprehensively researched by connecting keywords that are not directly related to each other, it is necessary to conduct more in-depth research centered on keywords. However, in research on creativity education in Chinese universities, there are less than 100 keyword networks used, so it is difficult to say that it is being used in earnest yet. There is a limit to looking at the overall flow by applying keyword network analysis to Chinese universities and beyond.