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Deep Learning for Exam Cheating Detection by ptspfl3 is a document available to read on EtoBox.
What is Deep Learning for Exam Cheating Detection about?
This study presents a deep learning-based facial recognition system designed to detect cheating in online exams by identifying participants and preventing impersonation. Utilizing the ADDIE model, the system achieves an accuracy of 96.8% in recognizing faces and has reduced cheating cases by up to 80%. Despite its effectiveness, challenges such as technical constraints, biases in facial recognition, and ethical concerns regarding biometric data remain.
- Author
- ptspfl3
- Language
- EN