Summary
This project integrates wearable biosensors with an Artificial Intelligence framework to improve understanding of student engagement and stress in classroom environments. Physiological signals such as heart rate, electrodermal activity, and oxygen levels provide insights into cognitive load and emotional states during learning activities. Current approaches rarely translate these signals into practical guidance for instructors. The project investigates how biosignal data collected from wearable devices can support more responsive and effective teaching practices. By focusing on improving the r
