Daphne Cockwell School of Nursing, Toronto Metropolitan University, Toronto, ON, Canada.
Ted Rogers School of Management, Toronto Metropolitan University, Toronto, ON, Canada.
Int J Nurs Educ Scholarsh. 2024 Oct 14;21(1). doi: 10.1515/ijnes-2023-0098. eCollection 2024 Jan 1.
Chat Generative Pre-Trained Transformer (ChatGPT) is an artificial intelligence-powered language model that can generate a unique outputs, in reponse to a user's textual request. This has raised concerns related to academic integrity in nursing education as students may use the platform to generate original assignment content. Subsequently, the objective of this quality improvement project were to explore and identify effective strategies that educators can use to discern AI-generated papers from student-written submissions.
Four nursing students were requested to submit two versions a Letter to the Editor assignement; one assignment that was written by the student; the other, exclusively generated by ChatGPT-3.5.
AI-generated assignments were typically grammatically well-written, but some of the scholarly references used were outdated, incorrectly cited, or at times completely fabricated,. Additionally, the AI-generated assignments lacked detail and depth.
Nursing educators should possess an understanding of the capabilities of ChatGPT-like technologies to further enhance nursing students' knowledge development and to ensure academic integrity is upheld.
Chat Generative Pre-Trained Transformer（ChatGPT）是一种人工智能语言模型，能够根据用户的文本请求生成独特的输出。这引发了与护理教育学术诚信相关的担忧，因为学生可能会使用该平台生成原创作业内容。因此，本质量改进项目的目的是探索和确定教育工作者可以用来识别人工智能生成的论文与学生书面提交的论文的有效策略。
要求四名护理专业的学生提交两份“给编辑的信”作业；一份是学生自己写的，另一份是完全由 ChatGPT-3.5 生成的。
人工智能生成的作业通常语法正确，但使用的一些学术参考文献已经过时、引用错误，或者有时完全是编造的。此外，人工智能生成的作业缺乏细节和深度。
护理教育工作者应该了解 ChatGPT 类技术的功能，以进一步增强护理学生的知识发展，并确保维护学术诚信。
