学生对GenAI作为虚拟导师的看法,以支持卫生专业人员的协作研究培训
Jacqueline E McLaughlin1, Cory Dal Ponte2, Kayley Lyons2
1Center for Innovative Pharmacy Education and Research, School of Pharmacy, UNC Eshelman, University of North Carolina at Chapel Hill, 301 Pharmacy Lane, Chapel Hill, NC, 27599, USA. Jacqui_mclaughlin@unc.edu.
BMC medical education
|July 2, 2025
概括
生成型人工智能 (GenAI) 为学生在医疗保健教育中的研究想法提供了有价值和令人满意的反. 这项技术可以增强学习,并允许教育工作者专注于复杂的概念.
科学领域:
- 医疗保健教育 医疗保健教育
- 教育技术的教育技术
- 教育中的人工智能
背景情况:
- 基本的研究和评估技能在医疗保健教育中被教授.
- 协作式学习模式很常见,但存在反挑战.
- 生成型人工智能 (GenAI) 被探索为学生研究想法反的解决方案.
研究的目的:
- 调查GenAI在为学生的研究想法提供个性化反方面的潜力.
- 在小组活动中评估GenAI反的实用性和满意度.
主要方法:
- 使用GenAI工具,对研究计划提供个性化的形成性反.
- 该活动是在为卫生专业人员的大学课程中进行的.
- 学生们收到了提示GenAI的指示,并完成了一项评估调查.
主要成果:
- 85.3%的响应率;50%的参与者对GenAI.是新的.
- 参与者发现GenAI反有价值 (85%),有助于改进计划 (78%),并增加对GenAI的兴趣 (86%).
- 定性评论显示了积极的接待,很少有不信任或不同意的情况.
结论:
- 基因人工智能 (GenAI) 是一个高效和令人满意的工具,可以为学生的研究想法提供反.
- 基因人工智能可以支持学生的学习,并允许教育工作者专注于更高层次的概念.
- 需要进一步的研究来探索GenAI作为虚拟导师的全部潜力和挑战.
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