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相关概念视频

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
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Local anesthetics (LAs) block the sodium channels of nerve trunks, sensory nerve endings, and neuromuscular junctions. Although LAs can block all kinds of nerves, the sensitivity of nerve fibers differs according to nerve types and structures. LAs are known to block myelinated fibers faster than unmyelinated ones. Also, they block pain or sensory neurons at low concentrations without affecting the motor neurons involved in muscle contractions. This helps relieve labor pain without affecting the...
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微调的大型语言模型用于产生麻醉学多选择题:与教师撰写的项目进行心理测量比较.

Carlos Ramon Hölzing1, Charlotte Meynhardt1, Patrick Meybohm1

  • 1Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, Würzburg, 97080, Germany.

JMIR formative research
|February 18, 2026
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概括
此摘要是机器生成的。

精心调整的大型语言模型 (LLM) 可以在麻醉学中创建多选择题 (MCQ),其心理测量特性与教师专家撰写的相似. 自动化项目生成可以补充,而不是取代,开发高质量的医学教育评估的传统方法.

关键词:
麻醉学 麻醉学人工智能的人工智能是人工智能.评估评估的评估评估的评估.精细调整 精细调整大型语言模型.医学教育 医学教育多选题的问题是多选题.心理测量是指心理测量.

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科学领域:

  • 医学教育 医学教育
  • 人工智能在评估中的作用
  • 心理测量 心理测量 心理测量

背景情况:

  • 多选题 (MCQ) 对于标准化医疗评估至关重要.
  • 开发高质量的MCQ需要专业知识和严格的方法.
  • 大型语言模型 (LLM) 为自动化MCQ生成提供了机会,但评估是有限的.

研究的目的:

  • 评估是否精心调整的LLM可以产生麻醉学MCQ,其心理测量特性与教师撰写的项目相当.

主要方法:

  • 一个微调的GPT-4模型被训练在麻醉学材料.
  • 该模型生成了15个MCQ,并与15个教师编写的MCQ一起进行分析.
  • 项目分析遵循心理测量标准,比较难度,点-二次相关性和歧视指数.

主要成果:

  • 在LLM生成的MCQ和教师编写的MCQ之间,在难度,点-双序列相关性或歧视指数方面没有发现显著差异.
  • 两组MCQ都显示了整体心理测量质量的适度.
  • 由LLM生成的项目 (平均难度0.79,点位序列0.17,歧视0.08) 与专家项目 (平均难度0.81,点位序列0.19,歧视0.09) 相似.

结论:

  • 监督精细调整的LLM可以产生与专家教师相似的心理测量质量的MCQ.
  • 自动项目生成应该补充,而不是取代手动的MCQ开发.
  • 需要进一步的研究,以实现概括性和优化LLM在评估中的整合.