The revolutionary potential of artificial intelligence (AI) applications in the field of education is examined in this review article. The study summarizes current research to investigate how AI promotes inclusive practices, boosts administrative effectiveness, and improves personalized learning while also bringing to light important ethical issues like algorithmic bias and data privacy. The article identifies key usage trends, such as automated evaluation tools, adaptive learning systems, and decision support systems in educational contexts, by utilizing bibliometric analyses and thematic categorizations. It also talks about how AI changes the role of teachers and promotes fair learning environments. In order to fully utilize AI in education, the paper concludes by highlighting the necessity of pedagogically sound, morally upright, and context-sensitive implementation strategies.
artificial intelligence, education, personalized learning, ethical challenges, inclusive practices