This activity covers the challenge of adaptive learning in education, where students progress at different speeds but classrooms often rely on fixed-paced, uniform instruction. It outlines key barriers to effective personalization—large class sizes, limited teacher time, weak performance tracking, delayed feedback, and rigid curricula—and proposes AI-driven remedies such as personalized learning paths, intelligent tutoring, real-time monitoring, predictive analytics, and automated assessment. Benefits and implementation constraints, including cost, infrastructure, privacy, and teacher training, are also discussed.