Visual analytics of the current status and trends in artificial intelligence education based on big data

More researchers are starting to focus on the intersection of artificial intelligence and education as a result of the technology's ongoing advancements. The paper conducts a thorough analysis of the research hotspots, and development lineage in international artificial intelligence education over the last ten years using the visualization analytic tools VOSviewer and CiteSpace. The following findings are obtained from the analysis of keyword co-occurrence and clusters: the flipped classroom, dropout prediction, and large language models are the main subjects of international research on artificial intelligence; the practical application of artificial intelligence in education, ethical and moral challenges, and the realization of the successful integration of intelligent technology and ideological and political education are the main research trends of future.