Adaptive Learning Path Recommendation Engine

Design a Node.js microservice that generates personalized learning recommendations using collaborative filtering and student performance data. Implement a recommendation algorithm that analyzes individual student progress, compares performance against peer cohorts, and dynamically suggests curriculum modules with optimal difficulty and learning style compatibility. Use MongoDB for storing learner profiles and develop a GraphQL endpoint for retrieving real-time recommendation insights.