Catching Cheating Students

Ming‐Jen Lin and Steven Levitt
Authors registered in the RePEc Author Service: 明仁 林

Economica, 2020, vol. 87, issue 348, 885-900

Abstract: We develop a simple algorithm for detecting exam cheating between students who copy off one another's exams. When this algorithm is applied to exams in a general science course at a top university, we find strong evidence of cheating by at least 10% of the students. Students studying together cannot explain our findings. Matching incorrect answers proves to be a stronger indicator of cheating than matching correct answers. When seating locations are randomly assigned, and monitoring is increased, cheating virtually disappears.

Date: 2020
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Citations: View citations in EconPapers (3)

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https://doi.org/10.1111/ecca.12331

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Working Paper: Catching Cheating Students (2015)
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