Adaptive Learning Algorithm for Personalized Student Progression

Design a machine learning-based progression tracking system that dynamically adjusts curriculum difficulty based on individual student performance metrics. The algorithm must incorporate cognitive load theory, track granular skill acquisition, and provide real-time recommendation engines for personalized learning paths. Implement a modular architecture that supports multiple subject domains and can integrate with existing learning management systems.