Adaptive Learning Path Recommendation Algorithm

Design a machine learning-powered recommendation system that dynamically generates personalized learning paths for students based on their performance, learning style, and knowledge gaps. The system should use collaborative filtering and predictive analytics to suggest optimal course sequences, supplementary resources, and intervention strategies. Implement a modular architecture that can integrate with existing learning management systems and support real-time adaptation of curriculum recommendations.