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Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations (2402.12179v1)

Published 19 Feb 2024 in cs.CV, cs.AI, and cs.CY

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.

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Authors (7)
  1. Dinh An Ngo (1 paper)
  2. Thanh Dat Nguyen (1 paper)
  3. Thi Le Chi Dang (1 paper)
  4. Huy Hoan Le (1 paper)
  5. Ton Bao Ho (1 paper)
  6. Vo Thanh Khang Nguyen (8 papers)
  7. Truong Thanh Hung Nguyen (11 papers)

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