Identifying the authenticity of registered participants for an online Zoom session

Abstract

The Covid-19 pandemic has resulted in drastic changes in the educational sector. Due to the social distancing health regulations, the education systems all around the world have adopted a distance and digitalized learning/teaching method. Learning and teaching in a digitalized classroom has its own benefits and limitations. This research focuses on a technical drawback that makes teachers unable to detect whether participants of a session are authorized participants or not. The given solution is a conceptual framework which is suggested as an add-on feature in Zoom. Using this feature, teachers can detect the authenticity of participants. According to the proposed framework, images of participants are captured automatically within a defined time interval.