Personalized Learning through AI: Enhancing Student Engagement and Teacher Effectiveness

Abstract

The integration of Artificial Intelligence (AI) into education is transforming traditional teaching paradigms by fostering personalized learning environments. This paper explores how AI technologies enhance student engagement and teacher effectiveness. Key benefits include customized learning paths, real-time feedback, and data-driven insights. Challenges such as ethical considerations, data privacy, and teacher training requirements are also discussed. A mixed-methods study involving surveys, interviews, and performance analytics provides valuable insights into the effectiveness of AI-powered tools. The findings indicate that AI significantly improves engagement and teaching efficiency, although challenges in accessibility and equity remain. The paper concludes with actionable recommendations for optimizing AI adoption in education.