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 should incorporate real-time skill assessment, predictive learning gaps, and adaptive content recommendation. Create a modular architecture that can integrate with existing Learning Management Systems, supporting multiple learning domains and skill complexity levels.