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相关概念视频

Reliability and Validity01:29

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相关实验视频

Updated: Jan 10, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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在使用CASP和JBI检查清单进行定性研究质量评估时,对生成人工智能的可靠性进行试点研究.

Hisba Shereefdeen1, Abhinand Thaivalappil2,3, Ian Young3

  • 1University of Guelph, ON, Canada.

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概括

生成型人工智能 (genAI) 工具在定性研究评估方面显示出潜力. 聊天GPT在评估检查清单上与人类审稿人达成不一致的协议,特别是在解释性元素方面.

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批判性评价 批判性的评价证据综合 证据综合生成型的人工智能 (GAI)定性研究是指质量研究.质量评估质量评估的质量评估.系统性审查是系统的审查.

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科学领域:

  • 定性研究方法 定性研究方法
  • 研究中的人工智能.
  • 卫生科学研究 卫生科学研究

背景情况:

  • 生成型人工智能 (genAI) 越来越多地融入研究工作流程中.
  • 在定性研究中,genAI用于质量评估的应用尚未得到充分研究.
  • 系统审查过程已经开始探索genAI,但质量评估需要进一步调查.

研究的目的:

  • 用已建立的检查清单来评估ChatGPT在评估定性研究方面的表现.
  • 为了比较genAI评估与人类评估的一致性和可靠性.
  • 确定genAI在定性研究质量评估中脱而出和扎的领域.

主要方法:

  • 两个人体审查者将批判性评估技能计划 (CASP) 和乔安娜·布里格斯研究所 (JBI) 的检查清单应用于21项定性研究.
  • 聊天GPT (GPT-5) 被要求使用检查清单来评估相同的研究.
  • 测试者之间的可靠性 (kappa) 和粗略的一致性是为了比较人类和genAI的评估而计算的.

主要成果:

  • 人类审查员和ChatGPT之间的协议在CASP项目中从没有到中度 (kappa: <.00-.46) 之间,在JBI项目中从没有到实质性 (kappa: <.00-.83).
  • 对客观的,基于报告的项目 (例如,研究目标,伦理,价值,参与者的声音) 观察到最高的协议.
  • 最大的分歧发生在主观的,解释性项目 (例如,研究设计,研究人员与参与者的关系,世界观与方法的一致性).

结论:

  • 聊天GPT (GPT-5) 在定性研究评估中可靠地识别客观组件,但不一致地评估细微的,取决于上下文的元素.
  • 目前用于定性研究质量评估的genAI使用需要仔细的人类监督和遵守透明度和数据隐私原则.
  • 需要进一步的研究来完善genAI工具,以应对复杂的定性评估任务.