{"title":"人工智能技术写作(和)教学中的监控工作","authors":"E. H. Pflugfelder, Joshua Reeves","doi":"10.1177/00472816241260028","DOIUrl":null,"url":null,"abstract":"The use of generative artificial intelligence (GAI) large language models has increased in both professional and classroom technical writing settings. One common response to student use of GAI is to increase surveillance, incorporating plagiarism detection services or banning certain composing activities from the classroom. This paper argues such measures are harmful and instead proposes a “CARE” framework: critical, authorial, rhetorical, and educational—a nuanced approach emphasizing ethical and contextual AI use in technical writing classrooms. This framework aligns with plagiarism best practices, initially devised from when rhetoric and composition scholars considered the pedagogical implications of the Internet.","PeriodicalId":93788,"journal":{"name":"Journal of technical writing and communication","volume":" 38","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Surveillance Work in (and) Teaching Technical Writing with AI\",\"authors\":\"E. H. Pflugfelder, Joshua Reeves\",\"doi\":\"10.1177/00472816241260028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of generative artificial intelligence (GAI) large language models has increased in both professional and classroom technical writing settings. One common response to student use of GAI is to increase surveillance, incorporating plagiarism detection services or banning certain composing activities from the classroom. This paper argues such measures are harmful and instead proposes a “CARE” framework: critical, authorial, rhetorical, and educational—a nuanced approach emphasizing ethical and contextual AI use in technical writing classrooms. This framework aligns with plagiarism best practices, initially devised from when rhetoric and composition scholars considered the pedagogical implications of the Internet.\",\"PeriodicalId\":93788,\"journal\":{\"name\":\"Journal of technical writing and communication\",\"volume\":\" 38\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of technical writing and communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/00472816241260028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of technical writing and communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00472816241260028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在专业和课堂技术写作环境中,生成式人工智能(GAI)大型语言模型的使用越来越多。对于学生使用 GAI 的问题,一种常见的应对措施是加强监控,纳入剽窃检测服务或禁止课堂上的某些写作活动。本文认为这些措施是有害的,并提出了一个 "CARE "框架:批判性、作者性、修辞性和教育性--一种强调在技术写作课堂中使用人工智能的道德和语境的细致入微的方法。该框架与剽窃最佳实践相一致,最初是修辞与写作学者在考虑互联网的教学意义时设计的。
Surveillance Work in (and) Teaching Technical Writing with AI
The use of generative artificial intelligence (GAI) large language models has increased in both professional and classroom technical writing settings. One common response to student use of GAI is to increase surveillance, incorporating plagiarism detection services or banning certain composing activities from the classroom. This paper argues such measures are harmful and instead proposes a “CARE” framework: critical, authorial, rhetorical, and educational—a nuanced approach emphasizing ethical and contextual AI use in technical writing classrooms. This framework aligns with plagiarism best practices, initially devised from when rhetoric and composition scholars considered the pedagogical implications of the Internet.