Student Behavioral Analysis Using Computer Vision

Abstract

Monitoring students through the camera in the classroom has now become a conventional approach and is losing its effectiveness. A student’s academic achievements depend on various factors. One of the main factors among these is student behavior and attention levels. For a long time, researchers and educators have heavily relied on teacher observation and student self-reporting to gauge student learning behaviors in class. The objective of this research work is to develop an automated model to enable informative-based functionalities to supervisors that helps the faculties to gather and summarize student behaviors in the classroom based on their facial expressions and other activities as a ki..