ARTIFICIAL INTELLIGENCE AND THE FUTURE OF SMART EDUCATION

With the rapid development of global science and technology, artificial intelligence (AI) has increasingly penetrated the education sector and transformed traditional teaching and learning processes. This study aims to assess the impact of AI on education through a qualitative research approach based on literature review. Journal articles, professional publications, and conference reports were analyzed to examine the application and effects of AI in educational institutions. The findings indicate that AI has been widely adopted in administration, instruction, and learning. Applications such as automatic grading systems, intelligent tutoring systems, virtual teachers, adaptive learning, personalized learning, intelligent campus management, and distance learning have significantly improved teaching efficiency and enhanced student learning experiences. AI technologies including machine learning, natural language processing, and computer vision enable customized learning paths, real-time feedback, and data-driven decision-making. However, the integration of AI also presents challenges such as ethical concerns, data privacy issues, digital divide, infrastructure limitations, and the need for teacher training. Overall, AI has a profound impact on education and will continue to promote innovation, improve teaching quality, and support diversified and personalized learning in the future.