Adaptive Learning Path Generator with Machine Learning

Design a Python-based adaptive learning recommendation system using scikit-learn that dynamically adjusts student learning paths based on individual performance metrics. The system should incorporate collaborative filtering, student skill tracking, and predictive analytics to generate personalized curriculum recommendations. Implement a modular architecture that can integrate with existing Learning Management Systems (LMS) and provide real-time learning trajectory suggestions.