Adaptive Learning Path Recommendation Algorithm

Design a machine learning-powered recommendation system that creates personalized learning paths for students based on their performance, learning style, and knowledge gaps. The algorithm should dynamically adjust curriculum complexity, suggest targeted resources, and predict potential learning challenges. Implement a modular architecture that can integrate with existing learning management systems, using collaborative filtering and neural network techniques to provide real-time personalized learning suggestions.