Example Concept: AI-driven adaptive learning systems continuously assess student performance through quizzes, assignments, and interaction data. By identifying strengths and weaknesses, the AI suggests targeted follow-up activities, such as practice exercises or advanced challenges, to reinforce learning or extend knowledge. This personalized approach helps ensure that each student receives the appropriate level of support and enrichment.