Adaptive Learning Path Recommendation Algorithm

Design a machine learning-based recommendation system that dynamically generates personalized learning paths for students based on their academic performance, learning style, and cognitive assessment. The algorithm should utilize collaborative filtering and predictive analytics to suggest optimal curriculum sequences, accounting for individual strengths, weaknesses, and potential knowledge gaps. Implement a modular architecture that can integrate with existing learning management systems and provide real-time adaptation of educational content complexity.