Online Proctoring Using Aritficial Intelligence

Abstract

This study addresses the current issues in online examination, which are particularly relevant during the online mode of exams. Our focus is on academic dishonesty associated with online assessments. Allowing students to take exams from home through online where they will be monitored by a proctor for the whole duration of the exam was quite difficult. Further implementing this process at a large scale will not be plausible due to the workforce required.To overcome this problem, an artificial intelligence (AI) in python is used,which can able to monitor the students using their laptop or system webcam and microphone itselfand would enable the invigilator to monitor multiple number of students once at a time, e-cheating intelligence agent is a mechanism for detecting the practices of online cheating, which is composed of two major modules: the internet protocol (IP) detector and the behavior detector. The intelligence agent monitors the behavior of the students and has the ability to prevent and detect any malicious practices. A novel approach for the detection of cheating during e-Exams is presented using convolutional neural networks (CNN) based systems. This system will help the proctors to identify any kind of uncertain event at the time of online exams. Keywords:Online mode, e-cheating intelligence agent, online cheating, internetprotocol and behaviour detector.