Research Hotspots and Development Trends of AI in Education: A Study Based on Knowledge Map and Co-Word Analysis

Abstract

With the gradual deepening of AI in manufacturing, medical, financial, transportation, environmental and other industries, the application of AI in the field of education has also attracted the attention of scholars. In this paper, Citespace, a visual analysis software, is used to reveal the research status of AI in the field of education from two aspects: research hotspots and research frontiers, using knowledge map and co-word Analysis methods, taking the relevant literature collected from CNKI database as the research object. The results show that the research hotspots of AI in the field of education focus on robot, AI technology, education reform, personnel training, intelligence education, teacher development and so on. The development trend has developed rapidly from the embryonic stage to the golden stage. According to the research results, the author believes that future research needs to expand the diversity of AI research in the field of education, promote the combination of AI theory and practice in the field of education, and pay attention to the protection of privacy data.