Adaptive Curriculum Content Recommendation System

Create an intelligent Python-based system that dynamically recommends curriculum content based on real-time student performance and learning progress. Develop a machine learning pipeline that uses collaborative filtering, natural language processing, and adaptive learning algorithms to generate personalized content suggestions. Implement a modular architecture that can integrate with existing learning management systems, providing real-time recommendations and tracking student engagement with suggested materials.