Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations
Computer Vision and Pattern Recognition
2024-02-20 v1 Artificial Intelligence
Computers and Society
Abstract
Cheating in online exams has become a prevalent issue over the past decade, especially during the COVID-19 pandemic. To address this issue of academic dishonesty, our "Exam Monitoring System: Detecting Abnormal Behavior in Online Examinations" is designed to assist proctors in identifying unusual student behavior. Our system demonstrates high accuracy and speed in detecting cheating in real-time scenarios, providing valuable information, and aiding proctors in decision-making. This article outlines our methodology and the effectiveness of our system in mitigating the widespread problem of cheating in online exams.
Keywords
Cite
@article{arxiv.2402.12179,
title = {Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations},
author = {Dinh An Ngo and Thanh Dat Nguyen and Thi Le Chi Dang and Huy Hoan Le and Ton Bao Ho and Vo Thanh Khang Nguyen and Truong Thanh Hung Nguyen},
journal= {arXiv preprint arXiv:2402.12179},
year = {2024}
}