Example Concept: AI-driven adaptive learning systems evaluate a student's performance through continuous assessment and feedback, identifying strengths and areas for improvement. These systems then modify the learning path by introducing new materials, altering difficulty levels, or recommending additional resources, ensuring each student receives a customized educational experience that aligns with their unique learning pace and style.