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This is a Literature Review study.

September 10, 2025Open Access

A Survey of Machine Learning Techniques for Intelligent Proctoring Systems

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Literature review highlights deep learning's role in improving academic integrity in proctoring systems.

Automated proctoring systems enhance academic integrity by detecting cheating in online assessments.
Research details performance metrics and methodologies for face detection and head pose estimation.
Challenges include the need for more diverse datasets and addressing ethical considerations in AI.
Future research aims to create adaptive solutions that improve the reliability of online proctoring.

Shruthi et al. (2025) studied this question.

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