一个新的调查开发工具
Simran Shamith1, Carolyn Giordano, Beverley A Crawford
1Drexel University College of Medicine, 60 N 36th St., Philadelphia, PA 19104, USA. sfs67@drexel.edu.
Journal of allied health
|September 5, 2025
概括
这项研究探讨了使用ChatGPT进行调查开发,发现它提供了快速措辞建议,但缺乏上下文理解. 结合人工智能工具和人类投入,如焦点小组,是有效的调查创建的关键.
科学领域:
- 医学教育
- 调查方法
- 人工智能
背景情况:
- 关于人工智能 (AI) 工具ChatGPT在调查开发中的探索性研究.
- 评估人工智能在确保调查有效性和优化措辞方面的能力.
- 评估人工智能作为增强调查创建流程的潜在工具.
研究的目的:
- 检查ChatGPT在改善调查开发方面的有效性.
- 评估人工智能在验证调查内容和改进问题措辞方面的作用.
- 探索人工智能驱动的建议与调查设计中的人类专业知识之间的协同作用.
主要方法:
- 两项针对医学教育中的反种族主义调查.
- 调查被输入到ChatGPT以验证,澄清和措辞建议.
- 结果与目标组验证和重点组的反进行了比较.
主要成果:
- 聊天GPT产生了快速和全面的反,准确地确定了调查目标.
- AI建议对调查的清晰度和有效性进行具体改进.
- 目标组的反强调了人工智能与以人为中心的验证方法的必要性.
结论:
- 查特GPT为调查开发提供了有效的初步建议.
- 人工智能缺乏深度的背景理解, 需要人类的监督.
- 最佳的调查开发涉及混合方法,将人工智能效率与人类洞察力和验证相结合.
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