ChatGPT 提供如何在大学作业中作弊的建议:其建议的可行性如何?

IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH
D. Spennemann, Jessica Biles, Lachlan Brown, Matthew F. Ireland, Laura Longmore, Clare L. Singh, Anthony Wallis, Catherine Ward
{"title":"ChatGPT 提供如何在大学作业中作弊的建议:其建议的可行性如何?","authors":"D. Spennemann, Jessica Biles, Lachlan Brown, Matthew F. Ireland, Laura Longmore, Clare L. Singh, Anthony Wallis, Catherine Ward","doi":"10.1108/itse-10-2023-0195","DOIUrl":null,"url":null,"abstract":"Purpose\nThe use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions are.\n\nDesign/methodology/approach\nAlthough ChatGPT is programmed not to provide answers that are unethical or that may cause harm to people, ChatGPT’s can be prompted to answer with inverted moral valence, thereby supplying unethical answers. The authors tasked ChatGPT to generate 30 essays that discussed the benefits of submitting contract-written undergraduate assignments and outline the best ways of avoiding detection. The authors scored the likelihood that ChatGPT’s suggestions would be successful in avoiding detection by markers when submitting contract-written work.\n\nFindings\nWhile the majority of suggested strategies had a low chance of escaping detection, recommendations related to obscuring plagiarism and content blending as well as techniques related to distraction have a higher probability of remaining undetected. The authors conclude that ChatGPT can be used with success as a brainstorming tool to provide cheating advice, but that its success depends on the vigilance of the assignment markers and the cheating student’s ability to distinguish between genuinely viable options and those that appear to be workable but are not.\n\nOriginality/value\nThis paper is a novel application of making ChatGPT answer with inverted moral valence, simulating queries by students who may be intent on escaping detection when committing academic misconduct.\n","PeriodicalId":44954,"journal":{"name":"Interactive Technology and Smart Education","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ChatGPT giving advice on how to cheat in university assignments: how workable are its suggestions?\",\"authors\":\"D. Spennemann, Jessica Biles, Lachlan Brown, Matthew F. Ireland, Laura Longmore, Clare L. Singh, Anthony Wallis, Catherine Ward\",\"doi\":\"10.1108/itse-10-2023-0195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose\\nThe use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions are.\\n\\nDesign/methodology/approach\\nAlthough ChatGPT is programmed not to provide answers that are unethical or that may cause harm to people, ChatGPT’s can be prompted to answer with inverted moral valence, thereby supplying unethical answers. The authors tasked ChatGPT to generate 30 essays that discussed the benefits of submitting contract-written undergraduate assignments and outline the best ways of avoiding detection. The authors scored the likelihood that ChatGPT’s suggestions would be successful in avoiding detection by markers when submitting contract-written work.\\n\\nFindings\\nWhile the majority of suggested strategies had a low chance of escaping detection, recommendations related to obscuring plagiarism and content blending as well as techniques related to distraction have a higher probability of remaining undetected. The authors conclude that ChatGPT can be used with success as a brainstorming tool to provide cheating advice, but that its success depends on the vigilance of the assignment markers and the cheating student’s ability to distinguish between genuinely viable options and those that appear to be workable but are not.\\n\\nOriginality/value\\nThis paper is a novel application of making ChatGPT answer with inverted moral valence, simulating queries by students who may be intent on escaping detection when committing academic misconduct.\\n\",\"PeriodicalId\":44954,\"journal\":{\"name\":\"Interactive Technology and Smart Education\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Interactive Technology and Smart Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/itse-10-2023-0195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interactive Technology and Smart Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/itse-10-2023-0195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

摘要

目的 使用生成式人工智能(genAi)语言模型(如 ChatGPT)来撰写作业文本的做法已得到广泛认可。本文旨在评估 genAi 在多大程度上可用于指导如何在委托和提交合同撰写的作业时避免被发现,以及所提供的解决方案的可行性有多大。设计/方法/方法虽然 ChatGPT 被设定为不会提供不道德或可能对人造成伤害的答案,但 ChatGPT 可能会被提示以倒置的道德价值进行回答,从而提供不道德的答案。作者要求 ChatGPT 生成 30 篇文章,讨论提交合同编写的本科生作业的好处,并概述避免被发现的最佳方法。作者对 ChatGPT 的建议在提交合同作业时成功避免被阅卷人发现的可能性进行了评分。研究结果虽然大多数建议策略被发现的可能性较低,但与掩盖抄袭和内容混合相关的建议以及与分散注意力相关的技巧未被发现的可能性较高。作者的结论是,ChatGPT 可以成功地用作提供作弊建议的集思广益工具,但其成功与否取决于作业批改者的警惕性以及作弊学生区分真正可行的选项和那些看似可行实则不可行的选项的能力。 原创性/价值 本文是一种新颖的应用,它使 ChatGPT 的答案具有反向道德价值,模拟了在实施学术不端行为时可能有意逃避检测的学生的询问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ChatGPT giving advice on how to cheat in university assignments: how workable are its suggestions?
Purpose The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions are. Design/methodology/approach Although ChatGPT is programmed not to provide answers that are unethical or that may cause harm to people, ChatGPT’s can be prompted to answer with inverted moral valence, thereby supplying unethical answers. The authors tasked ChatGPT to generate 30 essays that discussed the benefits of submitting contract-written undergraduate assignments and outline the best ways of avoiding detection. The authors scored the likelihood that ChatGPT’s suggestions would be successful in avoiding detection by markers when submitting contract-written work. Findings While the majority of suggested strategies had a low chance of escaping detection, recommendations related to obscuring plagiarism and content blending as well as techniques related to distraction have a higher probability of remaining undetected. The authors conclude that ChatGPT can be used with success as a brainstorming tool to provide cheating advice, but that its success depends on the vigilance of the assignment markers and the cheating student’s ability to distinguish between genuinely viable options and those that appear to be workable but are not. Originality/value This paper is a novel application of making ChatGPT answer with inverted moral valence, simulating queries by students who may be intent on escaping detection when committing academic misconduct.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Interactive Technology and Smart Education
Interactive Technology and Smart Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
12.00
自引率
2.30%
发文量
30
期刊介绍: Interactive Technology and Smart Education (ITSE) is a multi-disciplinary, peer-reviewed journal, which provides a distinct forum to specially promote innovation and participative research approaches. The following terms are defined, as used in the context of this journal: -Interactive Technology refers to all forms of digital technology, as described above, emphasizing innovation and human-/user-centred approaches. -Smart Education "SMART" is used as an acronym that refers to interactive technology that offers a more flexible and tailored approach to meet diverse individual requirements by being “Sensitive, Manageable, Adaptable, Responsive and Timely” to educators’ pedagogical strategies and learners’ educational and social needs’. -Articles are invited that explore innovative use of educational technologies that advance interactive technology in general and its applications in education in particular. The journal aims to bridge gaps in the field by promoting design research, action research, and continuous evaluation as an integral part of the development cycle of usable solutions/systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信