Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations

Dinh An Ngo, Thanh Dat Nguyen, Thi Le Chi Dang, Huy Hoan Le, Ton Bao Ho +2 more
2/19/2024
cs.CVcs.AIcs.CY

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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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Cite this paper

@article{ngo2024examining,
  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},
  year   = {2024},
  eprint = {2402.12179},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.12179v1}
}

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