The Latest Innovations and Dilemmas in AI Empowering Personalized Education

This paper explores the latest innovations and dilemmas in leveraging artificial intelligence (AI) for personalized education. By conducting a comprehensive literature review and analyzing empirical data from surveys and case studies, we identify key advancements and challenges in AI-driven educational systems. Our findings reveal that while AI can significantly enhance personalized learning experiences, issues such as bias, fairness, and transparency remain critical concerns. This research contributes to practice by offering actionable insights into designing fair and explainable AI systems in education. It advances knowledge by highlighting the importance of human-centric approaches in AI development.