用击键动力学检测在线编程课中的合同作弊者

Proceedings of the Seventh ACM Conference on Learning @ Scale Pub Date : 2020-08-12 DOI:10.1145/3386527.3406726

Jeongmin Byun, Jungkook Park, Alice H. Oh

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引用次数: 5

摘要

在在线编程课程中，在评估过程中保持学术诚信是一件棘手的事情。一种常见的方法，抄袭检测，对于新手程序员来说是不准确的，对于检测合同作弊者来说是无效的。我们提出了一种新的方法，在编程课程中使用击键动力学进行作弊检测，并对该方法进行了评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detecting Contract Cheaters in Online Programming Classes with Keystroke Dynamics

In online programming classes, it is tricky to uphold academic honesty in the assessment process. A common approach, plagiarism detection, is not accurate for novice programmers and ineffective for detecting contract cheaters. We present a new approach, cheating detection with keystroke dynamics in programming classes, and evaluated the approach.

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Proceedings of the Seventh ACM Conference on Learning @ Scale

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