ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION

This research examines how artificial intelligence, or AI, can improve learning and time management for master's students in higher education, using a critical approach. The study reviews past research and is also based on what students say and how AI tools are currently used in schools. The results indicate that adaptive learning platforms, chatbots, and writing assistants can significantly enhance personalization, automate tasks, and provide support in school. The adoption of these tools also raises ethical issues, concerns about data safety, and the possibility of people relying too much on them or not thinking critically enough. Suppose AI can improve schools and help students study more efficiently. In that case, its effectiveness depends significantly on training users, being transparent about how the tools work, and effectively integrating them into teaching methods. The study highlights the importance of schools teaching digital skills and establishing clear rules for using AI responsibly in academic settings. The clearer the guidelines that are set, the fewer problems that will arise. Keywords: Artificial intelligence, Higher education, Time management, Student perception, Learning effectiveness, Educational technology