EXAMINATOR v3.0: Cheating Detection in Online Take-Home Exams

Jui-Tse Hung,Christopher Cui,Varun Agarwal,Saurabh Chatterjee,Raghav Apoorv,Rocko Graziano,Thad Starner

PROCEEDINGS OF THE TENTH ACM CONFERENCE ON LEARNING @ SCALE, L@S 2023（2023）

引用 0|浏览3

暂无评分

摘要

EXAMINATOR v3.0 detects cheating in online take-home exams by comparing answers and the timestamps they were entered. A web interface enables efficient manual inspection. Use of the tool reveals that certain question types substantially enhance cheating detection, demonstrating the potential of automated algorithmic detection at scale. EXAMINATOR v3.0 has analyzed 915,831 pairs of exam submissions across three courses over two semesters at a top U.S. institution, identifying 46 instances of cheating.

查看译文

关键词

cheating detection,take-home exams,online learning,academic integrity

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要