Adaptive Learning Path Generator with Machine Learning

Develop a Python-based adaptive learning recommendation system using scikit-learn that dynamically adjusts student learning paths based on individual performance metrics. Create a predictive model that analyzes student interaction data, quiz scores, and learning style indicators to generate personalized curriculum recommendations. The system should incorporate collaborative filtering, track learning progress, and provide real-time curriculum adjustments with at least 85% accuracy in predicting optimal learning trajectories.