Automated Student Performance Analytics Pipeline with Laravel

Design a comprehensive Laravel-based data pipeline that automatically aggregates student performance metrics from multiple learning management systems, normalizes disparate data formats, and generates predictive analytics reports. The system must handle JSON, CSV, and XML inputs from Moodle, Canvas, and custom school databases. Implement robust error handling, data validation, and automated scheduling via Laravel's task scheduler to run daily at 2 AM. Include machine learning predictive scoring for at-risk student intervention.