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
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Feb-20-2024
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