药学学生使用人工智能工具完成药物信息任务的感知和经验:主题分析
Kaitlin M Alexander1, Chris Egan1, Carinda Feild1
1Department of Pharmacy Education and Practice, University of Florida College of Pharmacy, Gainesville, FL, United States of America.
Currents in pharmacy teaching & learning
|September 26, 2025
概括
药学学生在药物信息 (DI) 任务中探索生成性人工智能 (AI). 虽然人工智能提高了效率,但学生们强调需要验证人工智能生成的响应在卫生专业教育中的准确性和完整性.
科学领域:
- 健康 专业 教育 卫生 专业 教育
- 药房教育 教育 药房教育
- 数字健康素养 数字健康素养
背景情况:
- 重新设计了一个药物信息 (DI) 任务,以整合生成人工智能 (AI).
- 鼓励负责任地使用人工智能来开发DI响应.
- 旨在了解学生的看法和人工智能在卫生专业教育中的价值.
研究的目的:
- 探索药学学生对在DI作业中使用AI工具的看法.
- 评估人工智能赋能任务在卫生专业教育中的价值.
主要方法:
- 药学三年级学生叙事反思的定性主题分析.
- 人工智能支持的团队DI任务与步骤:人工智能响应生成,批评,文献搜索,合成和反思.
- 在课前/课后调查中收集了学生人工智能使用数据.
主要成果:
- 70%的学生以前没有因为学术或专业原因而使用AI.
- 确定的主题:用户利益,人工智能意识,响应质量,怀疑,用户责任和人工智能局限性.
- 学生们认识到AI的效率优势,但强调验证AI生成的DI响应.
结论:
- 生成型人工智能可以提高DI任务的效率.
- 学生们强调了对AI输出进行批判性评估的关键需求.
- 强调在药房教育中负责任地整合人工智能和数字素养的重要性.
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