Visualization Analysis of Artificial Intelligence Education in China Based on the Decade

Abstract

Artificial intelligence education has become an important direction of the development of modern education in China. Taking 945 articles of AI education research collected in CNKI and CSSCI core literature databases as samples, this paper uses CiteSpace and UCINET quantitative visualization analysis methods to carry out AI education econometric research through word frequency analysis, CO word analysis, cluster analysis and network structure analysis. The results show that there are hot topics in the field of artificial intelligence education research in China, such as basic concept theory, series of key technologies, and application of artificial intelligence education. At the same time, countermeasures and suggestions are put forward for the problems such as insufficient theoretical research, idle application scenarios, and scarce talent training.