人工智能对药学学生在客观结构化临床检查中的学业成绩和考试焦虑的影响:一个随机对照试验
Majid Ali1, Sarah Rehman2, Ejaz Cheema2
1College of Medicine, Sulaiman Al-Rajhi University, Al-Bukayriyah, Qassim, Saudi Arabia. mm.ali@sr.edu.sa.
International journal of clinical pharmacy
|February 4, 2025
概括
生成型人工智能 (AI) 工具并没有显著影响药学学生在客观结构化临床检查 (OSCE) 中的学业成绩或测试焦虑. 然而,人工智能干预也没有对这些结果产生负面影响.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 药房 教育 教育 药房 教育
背景情况:
- 生成型人工智能 (AI) 正在迅速发展,并在包括教育在内的各个领域得到采用.
- 人工智能有可能对临床教育产生重大影响,特别是在准备和进行客观结构化临床检查 (OSCE) 方面.
研究的目的:
- 评估人工智能生成的学习材料和反对药学学生学业绩的影响.
- 评估人工智能工具对参加OSCE培训课程的学生测试焦虑水平的影响.
主要方法:
- 一项为期4周的随机对照研究,涉及第6学期的PharmD学生.
- 干预小组使用人工智能工具 (ChatGPT,Gemini,Perplexity) 进行研究材料和反,以及欧安组织标准准备.
- 对照组只接受了欧安组织的标准准备;两组都填写了测试焦虑清单 (TAI) 问卷.
主要成果:
- 88名学生参与了这项研究,人工智能干预组 (12.98±5.15) 和对照组 (13.54±5.00) (p=0.550) 的OSCE平均分数没有显著差异.
- 干预组和对照组 (p=0.917) 之间的总测试焦虑清单 (TAI) 评分没有显著差异.
结论:
- 在这项研究中使用人工智能工具并没有提高学术表现,也没有减少药学学生的考试焦虑.
- 人工智能干预并没有对学业成绩或焦虑水平产生负面影响.
- 建议进行进一步的研究,以探索基于人工智能的教育干预措施的长期影响.
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