Framework for Automated Attendance & Attention Tracking to Address Learning Gaps Due to Pandemic
Pranavi Pendyala, Sriya I Reddi, Arjun Rajasekar, Syed Falahuddin Quadri, N Jaisankar, Ramesh Loganathan · 2022
The sudden shift to online education due to the pandemic has led to widespread learning gaps in the student population, increasing the need for individualistic attention to student learning as we transition back to physical classrooms. One can take advantage of the advancements in technology to help in this process by developing tools that can assist teachers decrease the amount of administrative workload and improve their ability to track the learning and understanding of every student in the classroom. The current work proposes a framework for accurate, low-cost, and scalable computer visionbased attendance and attention tracking in physical classroom environment to tackle this problem.