CiteSpace 기반 교육학 분야에서 AI 연구 동향 분석

Trend analysis of AI research in pedagogy based on CiteSpace

In this study, we selected the Web of Science (WOS) core database and the Korean Academic Journal Database(KCI) as reference databases for bibliometric analysis of all AI-related papers in the field of education from 2000 to 2020 after screening. The collected papers were statistically analyzed using CiteSpace as an aid. A visual knowledge map was created. The article gives the annual publication volume, country(regions), institution, and keywords of AI in education in the past 20 years, and provides a guide for the application and practice of AI in education.1)2)3) The results show that: 1) The research on AI in education is exploding at present, and the research on this topic will continue to be a hot topic in the future. 2) The United States, China, The United Kingdom, Australia and Germany have the largest number of publications on relevant topics. Among them, the United States is absolutely dominant in research. 3) The keyword analysis shows that the current hot topics of research in this field include ‘machine learning’, ‘deep learning’ and so on. In the field of theme research, Korea is the same as the international one, but the international one is more inclined to the basic and technical aspects of AI research. In Korea, AI is more closely integrated with education, and the research focuses more on the application and practice of AI in education.