Jack Watson: Addressing Contract Cheating at Scale in Online Computer Science Education

Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale Pub Date : 2019-06-24 DOI:10.1145/3330430.3333666

Rocko Graziano, D. Benton, Sarthak Wahal, Qiuyue Xue, P. Miller, Nick Larsen, Diego Vacanti, P. Miller, Khushhall Chandra Mahajan, Deepak Srikanth, Thad Starner

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引用次数: 4

Abstract

Cheating has always been a problem for academic institutions, but the internet has increased access to a form of academic dishonesty known as contract cheating, or "homework for hire." When students purchase work online and submit it as their own, it cannot be detected by commonly-used plagiarism detection tools, and this troubling form of cheating seems to be increasing. We present an approach to addressing contract cheating: an AI agent that poses as a contractor to identify students attempting to purchase homework solutions. Our agent, Jack Watson, monitors auction sites, identifies posted homework assignments, and provides students with watermarked solutions that can be automatically identified upon submission of the assignment. Our work is ongoing, but we have proved the model, identifying nine cases of contract cheating through our techniques. We are continuing to improve Jack Watson and further automate the monitoring and identification of contract cheating on online marketplaces.

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杰克·沃森:解决在线计算机科学教育中的大规模合同作弊问题

作弊一直是学术机构的一个问题，但互联网增加了一种被称为合同作弊或“雇佣作业”的学术不诚实形式的机会。当学生在网上购买作品并作为自己的作品提交时，通常使用的抄袭检测工具无法检测到，这种令人不安的作弊形式似乎正在增加。我们提出了一种解决合同作弊的方法:一个人工智能代理冒充承包商来识别试图购买家庭作业解决方案的学生。我们的经纪人杰克·沃森(Jack Watson)监控拍卖网站，识别张贴的家庭作业，并为学生提供带水印的解决方案，以便在提交作业时自动识别。我们的工作还在进行中，但我们已经证明了这个模型，通过我们的技术确定了9个合同欺诈案例。我们正在继续改进Jack Watson，并进一步自动化监控和识别在线市场上的合同欺诈。

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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Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale

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