在医学教育中使用ChatGPT:技术视角
Kwan Yin Chan1, Tsz Hon Yuen2, Michael Co3
1Department of Computer Science, University of Hong Kong, Pokfulam, Hong Kong. kychan@cs.hku.hk.
第二代Bennie和聊天,一个使用ChatGPT的聊天机器人,增强了虚拟的床边教学. 这种人工智能工具提高了学习效率,并为临床病史技能培训提供了灵活,可扩展的改进.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 临床技能培训 临床技能培训
背景情况:
- 由于COVID-19大流行,需要远程学习解决方案,因此开发了Bennie和Chats聊天机器人,用于临床史记录技能.
- 最初的聊天机器人版本面临由于预设响应的限制,突出了需要更先进的AI能力.
- 人工智能的进步,特别是像ChatGPT这样的大型语言模型,为创造更复杂,更灵活的教育工具提供了机会.
研究的目的:
- 评估人工智能聊天机器人对学习效率和学生在虚拟床边教学中的体验的影响.
- 探索这个聊天机器人在促进国际教学合作方面的潜力.
- 将新一代聊天机器人的可用性和灵活性与其前身进行比较.
主要方法:
- 采用了一种混合方法设计,结合了定量和定性方法.
- 通过香港大学和新加坡国立大学之间的跨境虚拟床边教学调查,收集了定量数据.
- 通过对聊天机器人版本的比较分析收集定性数据,并进行统计分析,包括描述性统计和斯皮尔曼相关性.
主要成果:
- 超过75%的学生发现虚拟床边教学提高了他们的学习效率和经验.
- 82.2%的学生报告说,通过区域间病例交流获得了更广泛的疾病经验.
- 与之前的版本相比,增强的聊天机器人显示出更高的可用性和灵活性.
结论:
- 由人工智能驱动的聊天机器人代表了虚拟床边教学的革命性进步,在传统方法上提供了显著的优势.
- 这项技术促进了医疗教育的国际合作.
- 基于聊天机器人的历史学习技能培训是传统床边教学的可行补充工具.
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