Scott-Herring Mary
Doctor of Nurse Anesthesia Practice (DNAP) Program, Georgetown University, 3700 Reservoir Rd, NW, St Mary's Hall, 4th Floor, Room 427, Washington, DC, 20057, USA.
Int J Nurs Educ Scholarsh. 2024 Dec 18;21(1). doi: 10.1515/ijnes-2024-0050. eCollection 2024 Jan 1.
As AI tools have become popular in academia, concerns about their impact on student originality and academic integrity have arisen.
This quality improvement project examined first-year nurse anesthesiology students' use of AI for an academic writing assignment. Students generated, edited, and reflected on AI-produced content. Their work was analyzed for commonalities related to the perceived ease of use, accuracy, and overall impressions.
Students found AI tools easy to use with fast results, but reported concerns with inaccuracies, superficiality, and unreliable citations and formatting. Despite these issues, some saw potential in AI for brainstorming and proofreading.
Clear guidelines are necessary for AI use in academia. Further research should explore AI's long-term impact on academic writing and learning outcomes.
While AI tools offer speed and convenience, they currently lack the depth required for rigorous academic work.
随着人工智能工具在学术界变得流行，人们开始关注它们对学生原创性和学术诚信的影响。
这个质量改进项目研究了一年级麻醉护士专业学生在学术写作作业中对人工智能的使用情况。学生们生成、编辑并反思了由人工智能生成的内容。对他们的作品进行了分析，以找出与易用性、准确性和总体印象相关的共性。
学生们发现人工智能工具易于使用且结果快速，但报告了对不准确、肤浅以及不可靠的引用和格式的担忧。尽管存在这些问题，一些人仍看到了人工智能在头脑风暴和校对方面的潜力。
在学术界使用人工智能需要明确的指导方针。进一步的研究应探讨人工智能对学术写作和学习成果的长期影响。
虽然人工智能工具提供了速度和便利，但它们目前缺乏严谨学术工作所需的深度。
