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一个混合方法交叉随机受控试验,探索人工智能 (ChatGPT) 在健康科学教育中的经验,感知和可用性

Mirella Veras1,2, Joseph-Omer Dyer3,4, Holly Shannon5

  • 1Department of Physical Therapy, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada.

Digital health
|February 7, 2025
PubMed
概括

本科健康科学学生发现聊天生成预训练变压器 (ChatGPT) 易于学习,对生产力有用. 然而,对准确性和学术完整性的担忧需要明确的AI在教育中的使用政策.

关键词:
在这里,我们可以看到AIAIAI.聊天GPT 聊天 在GPT 聊天人工智能的人工智能是人工智能.交叉RCT的RCT可以使用.教育教育教育教育的教育.卫生科学 卫生科学学习成果的学习成果.感知 感知 感知 感知随机对照试验是随机对照试验.可用性可用性可用性

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Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
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