超越国界,在文字之下:使用自然语言处理来映射学生对国际服务学习的反思到物理治疗的价值观
Alexandra L Borstad1,2,3,4,5, Susan A Appling1,2,3,4,5, Anne D Kloos1,2,3,4,5
1Alexandra L. BorstadE is a clinical professor in the Department of Physical Therapy at Oregon State University - Cascades, 1500 SW Chandler Ave, Bend, OR 97702 (alexandra.borstad@osucascades.edu). Please address all correspondence to Alexandra L. Borstad.
Journal, physical therapy education
|February 26, 2025
概括
人工智能 (AI) 和自然语言处理 (NLP) 分析了学生在国际服务学习中的反思. 人工智能透露,这次体验培养了物理治疗的核心价值观,特别是卓越.
科学领域:
- 物理治疗教育教育 物理治疗教育
- 教育中的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 为增强物理治疗教育提供了机会.
- 国际服务学习 (ISL) 课程为学生提供独特的教育体验.
- 评估学生的反思对于理解专业发展至关重要.
研究的目的:
- 应用人工智能,特别是自然语言处理 (NLP),分析学生在ISL课程中的反思.
- 在学生的反思中确定关键主题.
- 量化物理治疗专业价值观在学生工作中反映的程度.
主要方法:
- 使用自然语言处理 (NLP) 技术,分析了来自21名物理治疗学博士学生的802个反思陈述.
- 使用K-means集群来按主题分组反思.
- 用同位数相似度来测量反射和七个核心物理治疗专业价值之间的语义相似性.
主要成果:
- 出现了三个主要主题:教育患者/护理人员,产生新的治疗想法和文化沉浸.
- 反射显示出与卓越 (cos θ = 0.59),诚信 (cos θ = 0.61),同情和关心 (cos θ = 0.51) 的价值观有很高的相似性.
- 文化沉浸的主题与七个专业价值观中的五个最强烈相关.
结论:
- NLP提供了一种强大的方法来分析学生的反思和理解价值发展.
- 在ISL的经验有效地促进了核心物理治疗价值观的隐性发展,特别是卓越.
- 人工智能驱动的反射分析为教育工作者和研究人员提供了强大的,公正的见解,改变了这个领域.
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