Rocko Graziano, D. Benton, Sarthak Wahal, Qiuyue Xue, P. Miller, Nick Larsen, Diego Vacanti, P. Miller, Khushhall Chandra Mahajan, Deepak Srikanth, Thad Starner
{"title":"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","authors":"Rocko Graziano, D. Benton, Sarthak Wahal, Qiuyue Xue, P. Miller, Nick Larsen, Diego Vacanti, P. Miller, Khushhall Chandra Mahajan, Deepak Srikanth, Thad Starner","doi":"10.1145/3330430.3333666","DOIUrl":null,"url":null,"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.","PeriodicalId":20693,"journal":{"name":"Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Jack Watson: Addressing Contract Cheating at Scale in Online Computer Science Education\",\"authors\":\"Rocko Graziano, D. Benton, Sarthak Wahal, Qiuyue Xue, P. Miller, Nick Larsen, Diego Vacanti, P. Miller, Khushhall Chandra Mahajan, Deepak Srikanth, Thad Starner\",\"doi\":\"10.1145/3330430.3333666\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":20693,\"journal\":{\"name\":\"Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3330430.3333666\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3330430.3333666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Jack Watson: Addressing Contract Cheating at Scale in Online Computer Science Education
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.