Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914685117267968 |
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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 |