| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w21628 |
| 来源ID | Working Paper 21628 |
| Catching Cheating Students | |
| Steven D. Levitt; Ming-Jen Lin | |
| 发表日期 | 2015-10-12 |
| 出版年 | 2015 |
| 语种 | 英语 |
| 摘要 | 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. |
| 主题 | Other ; Law and Economics |
| URL | https://www.nber.org/papers/w21628 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/579303 |
| 推荐引用方式 GB/T 7714 | Steven D. Levitt,Ming-Jen Lin. Catching Cheating Students. 2015. |
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