CVAICYFeb 19, 2024

Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations

arXiv:2402.12179v14 citationsh-index: 5
Originality Synthesis-oriented
AI Analysis

This addresses the problem of academic dishonesty for educational institutions, but it appears incremental as it builds on existing monitoring approaches.

The paper tackles cheating in online exams by developing a monitoring system that detects abnormal student behavior, achieving high accuracy and speed in real-time scenarios.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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