Personalized Learning Path Recommendation Engine

Develop a sophisticated recommendation system using collaborative filtering and machine learning algorithms to generate personalized learning paths for students. Create a data pipeline that processes student performance data, learning style assessments, historical course interactions, and skill progression metrics. Design an adaptive recommendation model that dynamically adjusts suggested content based on real-time learning progress and predictive skill gaps.