Adaptive Learning Path Recommendation Engine

Design an intelligent recommendation system using collaborative filtering and machine learning algorithms that dynamically generates personalized learning paths for students. Implement a sophisticated recommendation framework using surprise library and TensorFlow that analyzes individual learning styles, performance history, and career aspirations. Create a modular system that can integrate with multiple learning management systems, provide explainable AI recommendations, and continuously learn and adapt based on student interactions.