Interactive Adaptive Learning Path Generator with Progress Tracking

Design a modular JavaScript learning path system that dynamically adjusts content difficulty based on user performance. Create a comprehensive algorithm that tracks user interactions, calculates skill proficiency across multiple knowledge domains, and generates personalized learning recommendations. Implement adaptive scoring mechanisms that identify knowledge gaps, recommend targeted learning modules, and provide real-time skill progression visualizations. Include error handling for diverse learning styles and integrate machine learning principles for continuous improvement.