Artificial intelligence (AI) is reshaping education by introducing new possibilities in personalized learning, student assessment, academic support and school management. This review examines studies published between 2020 and 2025, covering more than 50 research papers, to explore how AI is being applied in education, the methods used and the challenges. The aim of the review is to present an overview of current trends in AI for education and to identify gaps that need further investigation. The findings show that adaptive learning platforms and intelligent tutoring systems are the most common applications, followed by AI-driven assessment tools and learner profiling. Even though these advancements, concerns about bias, data privacy and ethical implications remain unsolved. Future work in research, policy and teaching is recommended to focus on interdisciplinary collaboration, careful evaluation and the design of AI tools that prioritize student needs.