EVOLUTION AND REVOLUTION IN ARTIFICIAL INTELLIGENCE IN EDUCATION

This article examines the evolution and revolutionary transformation of artificial intelligence (AI) in the field of education. It analyzes how AI technologies have gradually developed from simple computer-assisted instruction systems to advanced intelligent learning environments capable of personalization, automation, and predictive analytics. The study highlights the role of AI in reshaping teaching methodologies, learning processes, assessment systems, and educational management. Particular attention is given to adaptive learning platforms, intelligent tutoring systems, learning analytics, and generative AI tools that enhance student engagement and support individualized learning paths. At the same time, the article discusses the challenges associated with AI integration, including ethical considerations, data privacy, digital inequality, and the need for teacher training. The research argues that AI represents not only an evolutionary improvement in educational technology but also a revolutionary shift that redefines the roles of teachers, learners, and institutions in the digital age. The paper concludes that the effective and responsible implementation of AI can significantly improve educational quality, accessibility, and efficiency while fostering lifelong learning skills required in the 21st century.