ProctorEx: An Automated Online Exam Proctoring System

Authors

  • Vinothini Kasinathan, Choi Ee Yan, Aida Mustapha, Vazeerudeen Abdul Hameed, Tham Hoong Ching, Vinesh Thiruchelvam

Abstract

Examination is a critical aspect of education, and online exams are no exceptions. One of the biggest challenges is the concern of cheating revolving around online examinations due to lack of proper invigilation as opposed to face-to-face exams. Online cheating is often undetected and difficult to prove, hence jeopardizing the academic integrity. To address this gap, this paper proposes for an automated online exam proctoring system that monitors students’ browser activity and camera during an online exam. The proposed system will use intelligent face detection algorithms to detect any suspicious movement or activity and reports to an instructor in real time. This serves as a viable solution to reduce the chances of cheating going undetected and provides a means for instructors to monitor a large group of students at once during an online exam. The system is targeted towards any education institutions or individuals who wishes to assess their students’ level of understanding or knowledge via online examinations.

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Published

2022-08-01