Student Behaviour Monitoring System

Abstract

Abstract: “Automated learning analytics is quickly becoming a divisive issue in the educational community, needing efficient methods to monitor student development and provide feedback to teachers. Because of recent advancements in optical sensors and computer vision algorithms, autonomous monitoring of students' behaviors and emotional states is now possible at all academic levels, from university to pre-school. The purpose of this study was to create an automated system that would allow teachers to document and summarize student behaviors in the classroom in order to gather data for decision-making. A report is then sent to the facilities after the system has recorded the full session and determined whether the students are paying attention in the classroom.”