人工智能产生的牙质量 多选题:聊天GPT和谷歌巴德语言模型的比较分析
Walaa Magdy Ahmed1, Amr Ahmed Azhari1, Amal Alfaraj2
1Department of Restorative Dentistry, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.
Heliyon
|April 10, 2024
概括
像ChatGPT和Google Gemini这样的AI语言模型可以为牙损伤教育生成多选题. 虽然这两种工具都是有效的,但双子座问题往往具有更高的认知水平,尽管教育工作者必须审查所有人工智能生成的内容.
科学领域:
- 教育中的人工智能
- 牙科教育技术 牙科教育技术
- 自然语言处理自然语言处理.
背景情况:
- 人工智能 (AI) 为教育工作者提供了简化评估创建的工具.
- 牙腐烂教育需要准确和相关的评估材料.
- 评估人工智能在生成教育内容中的实用性对于采用至关重要.
研究的目的:
- 评估ChatGPT和谷歌巴德 (现在是双子座) 在生成牙损伤多选择题方面的有效性.
- 为了比较AI产生的问题的质量,相关性和认知水平.
主要方法:
- 牙的文本摘录被用来提示ChatGPT和双子座.
- 每个AI模型生成了64个多选题.
- 牙科专家评估了问题的相关性,准确性,复杂性和项目写作缺陷.
主要成果:
- 在ChatGPT和Gemini之间没有发现总体问题质量的显著差异.
- 双子座产生的问题表现出更高的认知水平.
- 聊天GPT问题包含了更多的格式错误,而双子座使用了更多的绝对术语.
结论:
- 聊天GPT和双子座都能产生牙损伤多选题,主要是在知识和理解水平.
- 人工智能工具可以帮助教育工作者创建评估,节省时间和精力.
- 仔细审查和调整人工智能产生的问题对于与学习目标保持一致至关重要.
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