Catching Cheating Students
Autor: | Steven D. Levitt, Ming-Jen Lin |
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Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Economica. 87:885-900 |
ISSN: | 1468-0335 0013-0427 |
DOI: | 10.1111/ecca.12331 |
Popis: | We develop a simple algorithm for detecting exam cheating between students who copy off one another’s exam. 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 percent of the students. Students studying together cannot explain our findings. Matching incorrect answers prove to be a stronger indicator of cheating than matching correct answers. When seating locations are randomly assigned, and monitoring is increased, cheating virtually disappears. |
Databáze: | OpenAIRE |
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