Examinator v4.0 : Cheating Detection in Online Take-Home Exams
Abstract: Cheating detection in large classes with online, take-home exams is an extremely difficult problem. As class size increases, the process of detection and evidence building becomes a significant investment of time. To identify cheating without invasive real-time monitoring, Examinator v4.0 uses answer rarity and submission timestamps. Creative question design allows detection of cheating even when answers are correct. Automatic report generation saves instructors time when compiling evidence for cases. Examinator v4.0 streamlines the identification and reporting of cheating students in online take-home exams, analyzing 7683 unique submissions from 1923 students across two semesters and resulting in 52 convictions of academic misconduct.
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