Student Live Behaviour Monitoring during Virtual Class using Artificial Intelligence

Abstract

Due to the unexpected change in events in the world, most sectors have been badly affected. One of the main sectors in the educational sector, where many educational institutions have chosen online platforms to continue their education. It has increased the distance between faculty and students which, by the inputs taken from the polls conducted to find out about student academic engagement, has been described as showing that the interest in studies has decreased compared to classroom education. Most of the faculties have been familiar with the online tools for education, but there has been a gap between student and teacher engagement in the online classroom. The tool comes in handy in this situation to understand how the student has been listening to the whole class and to analyze and present a report based on the student's behavior. The primary objective of this project is to create a self-sufficient agent that can offer information to both teachers and pupils. The level of student involvement is directly related to important academic outcomes like critical thinking and the marks students get on a topic. This Research acts as an add-on feature to the existing virtual meet platform such as zoom etc.