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Catching Cheating Students
Economica ( IF 1.530 ) Pub Date : 2019-12-29 , DOI: 10.1111/ecca.12331
Ming‐Jen Lin, Steven D. Levitt

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.

中文翻译:

抓住作弊学生

我们开发了一种简单的算法来检测互相抄袭的学生之间的考试作弊行为。当将此算法应用于顶尖大学的普通科学课程的考试时,我们发现了至少 10% 的学生作弊的有力证据。一起学习的学生无法解释我们的发现。事实证明,匹配错误答案比匹配正确答案更能证明作弊。当随机分配座位位置并增加监控时,作弊实际上就消失了。
更新日期:2019-12-29
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