Visualization of Hotspots and Frontiers in Artificial Intelligence in Education - Based on Citespace Knowledge Map Analysis

With the advent of the digital age, the deep integration of artificial intelligence and education has attracted extensive attention in the academic community. In this study, 1,193 literatures directly related to AI education in the Web of Science core database in the past ten years were knowledge mapped and visualized with the help of CiteSpace software. Through the analysis of co-occurrence, clustering, and emergence of the literature data, it is found that the number of related literature issued in 2014–2014 increased significantly, with a certain degree of aggregation and depth. It also shows the hotspots and cutting-edge trends of artificial intelligence education research. The research hotspots are mainly centered on artificial intelligence, digital education, recognition, school, identification, educational data mining, human-computer interaction, etc., but the research method is relatively single, the authors and the interdisciplinary cooperation between institutions is not close enough, and there is a problem of bias in the region of research institutions. Future research can try to strengthen interdisciplinary cooperation, innovate institutional cooperation modes, and establish visualization standards, so as to stimulate the endogenous momentum of the deep integration of AI and education.