Intelligent Student Performance Tracking Pipeline

Design a comprehensive data pipeline that automatically aggregates student performance metrics from multiple learning management systems, including Canvas, Moodle, and Blackboard. Create a scalable architecture that can process real-time grade data, generate predictive learning risk assessments, and automatically trigger intervention workflows for students showing early signs of academic challenges. Include error handling for disparate data formats, implement machine learning models for performance prediction, and develop a secure, FERPA-compliant data visualization dashboard.