人工智能能教师可以利用成长思维语言吗? 对反声明的定性分析
Michael J Furey1, Raymond Stemrich2, Jamaica Westfall-Snyder2
1Department of Surgery, Geisinger Wyoming Valley Medical Center, Wilkes Barre, Pennsylvania.
The Journal of surgical research
|March 28, 2025
概括
人工智能有效地将固定的思维语言反转换为增长思维语言,帮助医学教育的教师. 这项技术显示出改善反质量和学习者发展的前景.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 语言学的语言学.
背景情况:
- 反对于基于能力的医学教育至关重要,但固定的思维方式语言阻碍了学习者的成长.
- 增长心态通过努力促进发展,增强反利用.
- 需要教师培训才能从固定思维语言 (FML) 过渡到增长思维语言 (GML).
研究的目的:
- 评估人工智能 (AI) 在将FML反语句转换为GML方面的能力.
- 评估AI作为教师采用GML的工具的有效性.
主要方法:
- 定性研究分析了83个反陈述 (学生和居民).
- 语句编码为FML或GML;FML语句被人工智能写作工具处理.
- 人工智能修改的陈述和原始陈述都由接受过GML培训的盲人专家进行了审查.
主要成果:
- 人工智能成功地将FML修改为GML语句,准确度高 (94.4%).
- 人工智能生成的GML反通常不被认为是人工智能辅助的 (8.1%).
- 人工智能展示了作为教师在产生高质量的反方面提供教育援助的潜力.
结论:
- 在医学教育反中,人工智能是将FML转换为GML的可行工具.
- 人工智能辅助可以帮助教师增加GML的使用,促进成长思维文化.
- 进一步开发人工智能工具可以提高教育反的质量和影响.
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