Adaptive Learning Path Recommendation Engine

Design a machine learning recommendation system using collaborative filtering and graph neural networks that creates personalized learning pathways for students. The system should dynamically adjust based on individual student performance, learning style, and long-term educational goals. Implement a robust privacy-preserving architecture that maintains student data confidentiality while providing granular learning recommendations.