This study presented a bibliometric and thematic analysis of systematic reviews of artificial intelligence (AI) in education, selecting relevant papers using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. The VOSviewer software was utilized to analyze 44 papers in order to identify trends, patterns, and keyword clusters. China and Hong Kong were the most prolific countries publishing review papers between 2019 and 2023. Our result revealed that Computers and Education: Artificial Intelligence is the prominent outlet for research in this field. This study’s eight keyword clusters provided a comprehensive overview of the various aspects and applications of AI in education, including AI education and teaching, AI implementation in health and education fields, conversational AI and language models, education and learning analytics for sustainable development, AI algorithms and intelligent tutoring systems in higher education, emerging technologies in distance and virtual education, and digital health and ethics. Our results can inform policymakers, educators, and researchers about the potential of AI to improve the teaching and learning processes.