Comprehensive Learning Performance Anomaly Detection

Develop a Python-powered anomaly detection framework for identifying unusual patterns in learning performance and engagement across individual and group contexts. Create a system capable of processing multi-dimensional learning data, implementing advanced statistical and machine learning techniques for anomaly identification, and generating actionable insights. Implement using scikit-learn for anomaly detection, develop sophisticated feature engineering techniques, and create a comprehensive reporting mechanism.