Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations

Fuente: arXiv
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Main Authors: Ngo, Dinh An, Nguyen, Thanh Dat, Dang, Thi Le Chi, Le, Huy Hoan, Ho, Ton Bao, Nguyen, Vo Thanh Khang, Nguyen, Truong Thanh Hung
Format: Preprint
Published: 2024
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author Ngo, Dinh An
Nguyen, Thanh Dat
Dang, Thi Le Chi
Le, Huy Hoan
Ho, Ton Bao
Nguyen, Vo Thanh Khang
Nguyen, Truong Thanh Hung
author_facet Ngo, Dinh An
Nguyen, Thanh Dat
Dang, Thi Le Chi
Le, Huy Hoan
Ho, Ton Bao
Nguyen, Vo Thanh Khang
Nguyen, Truong Thanh Hung
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_12179
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations
Ngo, Dinh An
Nguyen, Thanh Dat
Dang, Thi Le Chi
Le, Huy Hoan
Ho, Ton Bao
Nguyen, Vo Thanh Khang
Nguyen, Truong Thanh Hung
Computer Vision and Pattern Recognition
Artificial Intelligence
Computers and Society
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.
title Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations
topic Computer Vision and Pattern Recognition
Artificial Intelligence
Computers and Society
url https://arxiv.org/abs/2402.12179