Advancing Academic Integrity Through Intelligent Examination Oversight: A Comprehensive Framework Leveraging Deep Learning and Computer Vision for Next-Generation Automated Proctoring

Q: What does this research mean for the field?

An Intelligent Exam Supervision (IES) framework integrating multimodal deep learning, anomaly detection, and explainable AI provides a scalable, secure, and ethically governed alternative to traditional human proctoring for remote assessments. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Shruthi S V; H. K. Chethan

doi:10.5281/zenodo.20204173

May 15, 2026Open Access

Advancing Academic Integrity Through Intelligent Examination Oversight: A Comprehensive Framework Leveraging Deep Learning and Computer Vision for Next-Generation Automated Proctoring

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Key Points

This research aims to develop an Intelligent Exam Supervision (IES) framework leveraging deep learning and technology to ensure academic integrity during remote assessments.
Developed a smart proctoring system utilizing machine learning and multimodal data processing.
Employed anomaly detection algorithms including Mahalanobis distance and Isolation Forest for identifying exam misconduct.
Analyzed the effectiveness of IES through a randomized trial format.
Significant reduction in academic misconduct instances compared to traditional proctoring (60% decrease, p<0.01).
Achieved real-time risk scoring (sub-200ms) for immediate response and intervention during assessments.
Improved cost efficiency through scalable automated systems demonstrating lower operational costs when compared to human proctoring.

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Implication

Evaluates automated proctoring to enhance academic integrity in education, suggesting significant advancements in exam security.

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Cite This Study

V et al. (2026) studied this question.

synapsesocial.com/papers/6a095c6d7880e6d24efe2a12 https://doi.org/10.5281/zenodo.20204173

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Advancing Academic Integrity Through Intelligent Examination Oversight: A Comprehensive Framework Leveraging Deep Learning and Computer Vision for Next-Generation Automated Proctoring

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Advancing Academic Integrity Through Intelligent Examination Oversight: A Comprehensive Framework Leveraging Deep Learning and Computer Vision for Next-Generation Automated Proctoring

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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