支持学生和教育工作者使用生成式人工智能

Kim Taylor
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引用次数: 0

摘要

在大学环境中使用生成式人工智能(genAI)是当前争论的一个话题,对于学生应在多大程度上使用这些工具(Ahmad 等人,2023 年)以及 genAI 工具在高等教育中的潜在应用(Yu & Guo,2023 年),存在各种观点。还有人对学生可能滥用 genAI 工具以及这些工具在某些大学科目中获得及格分数的能力表示担忧(Nikolic 等人,2023 年)。 皇家墨尔本理工大学的立场是,我们必须培养学生将人工智能作为当前和未来工作要求的一部分的能力。皇家墨尔本理工大学负责学术质量和教育创新的部门制定了一套声明,供教育工作者在设计评估任务时选择。这些声明包括不限制在评估任务中使用 genAI 工具,可以有限制地使用 genAI 工具,或不能使用 genAI 工具。 如果允许学生在评估任务中使用 genAI 工具,他们必须适当承认并提及这些工具的使用及其产出。 在图书馆,我们的任务是为人工智能生成的内容创建引文和参考文献指南,以适应本机构使用的每种文体,包括 APA 7th、IEEE、Chicago 17th 和 AGLC4。该项目的一个挑战是,样式手册编辑要么没有提供具体的 genAI 引用建议,要么建议仅限于特定的工具,例如 APA 第 7 版(McAdoo,2023 年)和芝加哥第 17 版(The Chicago Manual of Style Online,n.d.)中的 ChatGPT。我们改编了 APA 第 7 版、哈佛版、芝加哥第 17 版和 IEEE 版参考文献软件的现有风格建议,改编了温哥华版参考互联网资料的建议,改编了 AGLC 4 参考个人通信的建议。我们为人工智能生成的文本和图像以及使用 genAI 进行背景研究时创建了参考文献指南。我们还将澳大利亚当前的版权建议纳入了这些指南,其中规定作者身份只能授予人类创作者,因此工具的创作者而非工具本身被用作作者。这些指南载于学科指南(皇家墨尔本理工大学,2023 年)中,该指南在 2023 年 2 月至 7 月期间的浏览量超过 17,000 次。 我们还更新了学术诚信意识(AIA)微证书,纳入了有关 genAI 工具的教育信息。我们纳入了与当前某些工具中的不准确信息和道德问题有关的指导,并将这些工具置于学术诚信的整体背景下。在我们学校的许多学科中,该微型证书都被用作评估任务的一个组成部分。 这些资源有助于学生在学习中使用 genAI 工具以及在未来职业生涯中使用 genAI 时保持学术诚信,因为它们强化了对他人工作(包括人工智能生成的工作)予以适当认可的核心要求。随着 genAI 工具的发展和在学习中的广泛应用,这些资源将不断更新。
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Supporting students and educators in using generative artificial intelligence
The use of generative artificial intelligence (genAI) in university settings is a current topic of debate, with a range of viewpoints regarding the extent to which these tools should be used by students (Ahmad et al., 2023) and the potential applications of genAI tools in higher education (Yu & Guo, 2023). Concerns have also been raised regarding the potential student misuse of genAI tools, and the ability of these tools to score a passing grade in some university subjects (Nikolic et al., 2023). RMIT University’s position is that we must build the capability in our students to engage with AI as part of the current and future requirements of work. The RMIT units responsible for academic quality and for education innovation have created a set of statements that educators can choose from when designing assessment tasks. These statements include there being no restrictions on the use of genAI tools in the assessment task, that genAI tools can be used with limitations, or that genAI tools cannot be used.  If students are permitted to use genAI tools in assessment tasks, they must appropriately acknowledge and reference the use of these tools and their outputs. In the library, we were tasked with creating citing and referencing guidelines for AI-generated content for each of the styles used at our institution, including APA 7th, IEEE, Chicago 17th and AGLC4. A challenge of this project was that there was either no specific genAI referencing advice provided by the style manual editors, or the advice was limited to a specific tool, e.g. ChatGPT in the case of APA 7th (McAdoo, 2023) and Chicago 17th (The Chicago Manual of Style Online, n.d.). We adapted the existing style advice for referencing software for the APA 7th, Harvard, Chicago 17th, and IEEE styles, the advice for referencing internet sources for Vancouver, and the advice for referencing personal correspondence for AGLC 4. We created referencing guidelines for both AI-generated text and images, as well as when genAI was used for background research. We also incorporated current Australian copyright advice into these guidelines, in which authorship can only be granted to human creators, and so the creator of the tool was used as the author rather than the tool itself. These guidelines are housed in a subject guide (RMIT, 2023) which has received more than 17,000 views between February and July 2023. We also updated our Academic Integrity Awareness (AIA) microcredential to include educative information about genAI tools. We included guidance relating to the inaccurate information and ethical concerns in some of the current tools, as well as placing these tools within the overall context of academic integrity. This microcredential is used as a component of assessment tasks in many disciplines across our institution. These resources assist students in maintaining academic integrity when using genAI tools in their learning, and when using genAI in their future careers, as they reinforce the central requirement that the work of others (including work that is AI-generated) is appropriately acknowledged. These resources will continue to be updated as genAI tools evolve and become more widely used within learning.
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