Interactive Adaptive Learning Algorithm for Personalized Assessments

Design a Node.js-based adaptive learning algorithm that dynamically adjusts quiz difficulty based on student performance using machine learning techniques. Implement a scoring mechanism that tracks individual student progress across multiple knowledge domains, with real-time difficulty scaling. The algorithm should use a combination of item response theory and machine learning models to create personalized learning paths. Include performance tracking, recommendation engines, and visualization of learning progression.