将人工智能与现有的预防框架联系起来,促进了学术不端行为

IF 3.8 Q1 EDUCATION & EDUCATIONAL RESEARCH
Daniel Birks, Joseph Clare
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引用次数: 1

摘要

摘要本文将人工智能(AI)促进的学术不端行为问题与基于犯罪预防的关于预防传统形式学术不端行为的建议联系起来。鉴于学术不端行为不是一种新现象,我们可以从有关不端行为的现有信息和预防框架中吸取教训。本文讨论了解决人工智能促进的学术不端行为的现有犯罪预防框架的相关性,并概述了与预防人工智能促进的不端行为和监测学生对这类行为的态度和行为有关的未来研究的一些想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linking artificial intelligence facilitated academic misconduct to existing prevention frameworks
Abstract This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct perpetration and frameworks for prevention. The relevance of existing crime prevention frameworks for addressing AI-facilitated academic misconduct are discussed and the paper concludes by outlining some ideas for future research relating to preventing AI-facilitated misconduct and monitoring student attitudes and behaviours with respect to this type of behaviour.
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来源期刊
International Journal for Educational Integrity
International Journal for Educational Integrity EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.90
自引率
26.10%
发文量
25
审稿时长
22 weeks
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