Cognitive Load Assessment Automation Tool

Create an advanced cognitive load assessment system that uses machine learning and physiological signal processing to measure student mental effort during learning activities. Develop algorithms capable of analyzing multimodal data sources including eye-tracking, heart rate variability, and interaction patterns to quantify cognitive load in real-time. Design a flexible framework that can be integrated with various learning platforms and research environments.