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 skill gaps. Create a modular architecture that can integrate with existing Learning Management Systems (LMS), using collaborative filtering and predictive analytics. The system should be able to handle multiple learning domains, support real-time path adjustments, and provide explainable AI recommendations with a confidence score.