Adaptive Learning Path Generator with Machine Learning

Develop a Python-based adaptive learning recommendation system using scikit-learn that dynamically adjusts student learning paths based on individual performance metrics, learning styles, and predictive analytics. Create a machine learning pipeline that can ingest student assessment data, track cognitive difficulty progression, and generate personalized curriculum recommendations with at least 85% accuracy. Include visualization components using Plotly to display learning trajectory and skill gap analysis.