What is it about?
One of the main challenges related to distance education is preserving the academic integrity of student assessments. We propose a new method to detect potential cases of cheating on the final exam. We approach this task as an outlier detection problem using deep learning.
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Why is it important?
The lack of direct supervision by instructors during final examinations poses a significant risk of academic misconduct. Numerical experiments show that the proposed method achieves a remarkably high level of accuracy.
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This page is a summary of: Machine learning based approach to exam cheating detection, PLoS ONE, August 2021, PLOS, DOI: 10.1371/journal.pone.0254340.
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