Multi-Modal Student Learning Style Classification

Create a machine learning classification system in Python that identifies and categorizes student learning styles using multi-dimensional data sources. Develop algorithms that integrate cognitive assessments, learning behavior metrics, and performance data to create personalized learning style profiles. Use advanced feature engineering techniques with scikit-learn to build a robust classification model. Generate visualizations and reports that help educators understand and adapt to individual student learning preferences.