Online Classroom Enagement Observation using Deep Learning

Classroom engagement is critical for both students and professors in order to have a successful experience at a college or university. In modern days due to a growing number of various digital distractions and other external influences, keeping student engaged is a challenging problem. This work focuses on how to measure student engagement using facial gestures along with deep learning techniques. In this work, we took seven facial gestures for our image classification to measure student engagement. We use deep learning techniques to classify the gestures and we compute cross correlation between student gestures and the instructor’s teaching methodologies.