Adaptive Learning Path Recommendation Algorithm

Design a machine learning-powered recommendation system that dynamically generates personalized learning paths for students based on their academic performance, learning style, and historical engagement metrics. The algorithm should incorporate collaborative filtering, predictive analytics, and adaptive complexity adjustment. Create a modular architecture that can integrate with existing Learning Management Systems (LMS) and support real-time path recalculation as students progress through curriculum modules.