Visualization and Analysis of Mapping Knowledge Domains for AI Education System Studies

Abstract

The development of Artificial Intelligence (AI) technology brings opportunities and challenges to the education system. It is changing the way educational information is disseminated and at the same time triggering a change in the educational model. Based on the database of CNKI, this paper uses the visualization tool CiteSpace software to map the knowledge structure of AI education system research and conducts a bibliometric analysis of the relevant literature collected in this field. The results showed that 1) In the past 20 years, the emphasis of studies AI education system in China has shifted from a singular artificial intelligence to smart technology, decision-making systems, learning analysis, big data, and knowledge engineering. The qualities, such as increasing study horizon and growing research scope, are highlighted. 2) AI helps to upgrade the elements of education, intelligent education for large-scale, personalized education, and the development path of AI education technology are research hotspots. 3) Smart education, Artificial intelligence, Talent training, Emotional computing, and Smart classroom are the strongest bursting keywords in the last two years, indicating the recent research frontiers.