Adaptive Machine Learning Curriculum Assessment Tool

Develop a Python-based intelligent assessment system that dynamically generates personalized scientific learning pathways using machine learning. The system should track student performance across multiple scientific domains, identify knowledge gaps, and automatically generate customized quiz sequences using spaced repetition algorithms. Implement adaptive difficulty scaling, comprehensive performance analytics, and integration with Jupyter notebooks for interactive learning assessments.