测试Bard和ChatGPT写关于道德困境的论文的能力:一个横截面研究
Mariano Kaliterna1, Marija Franka Žuljević2, Luka Ursić3
1Department of Medical Humanities, School of Medicine, University of Split, Split, Croatia. mariano.kaliterna@mefst.hr.
Scientific reports
|October 30, 2024
概括
人工智能 (AI) 大型语言模型 (LLM) 可以生成类似人类的医学学生体验论文. 与人类写作相比,人工智能生成的文本在影响力,真实性和分析思维方面显示出不同的语言模式.
科学领域:
- 医学教育 医学教育
- 教育中的人工智能
背景情况:
- 人们对人工智能在教育中的滥用存在担忧,特别是像ChatGPT和Bard.com这样的大型语言模型 (LLM).
- 士学位能够生成类似人类文本的能力,引发了关于学生写作作文的未来的问题.
研究的目的:
- 调查LLM是否可以制作关于医学学生个人经历和伦理困境的非结构化论文,这些论文与人类写作是不可分的.
- 将人工智能生成的文章的语言特征与学生撰写的文章进行比较.
主要方法:
- 收集了47篇原创学生论文,并提取了关键词来创建LLMs的提示.
- 使用ChatGPT和Bard生成了相当数量的文章.
- 使用语言查询和单词计数 (LIWC) 22软件对社会和心理过程进行分析的文章.
- 对被怀疑是人工智能合著的文章进行了分分析.
主要成果:
- 与学生论文相比,人工智能撰写的论文显示了与影响,真实性和分析思维相关的语言使用的增加 (在排除了人工智能共同撰写的学生论文之后).
- 聊天GPT和巴德在生成关于学生个人经历和道德困境的文章方面都表现出了很高的效率.
结论:
- 法学士可以有效地生成关于个人经验和道德困境等敏感主题的论文.
- 独特的语言标记将人工智能生成的文章与学生撰写的文章区分开来,特别是在影响力,真实性和分析思维方面.
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