Example Concept: AI-driven adaptive learning systems continuously monitor student engagement and performance data, such as quiz results, assignment submissions, and participation levels. By applying machine learning algorithms, these systems can identify patterns indicating a student is falling behind or struggling with specific concepts. Teachers receive alerts or reports highlighting these students, allowing for timely intervention and personalized support.