通过基于人工智能的教学角色扮演:对来自健康研究计划的在线学习学生进行调查
Katharina Rädel-Ablass1, Klaus Schliz1, Cornelia Schlick2
1Nursing Care, IU International University of Applied Sciences, 99084, Erfurt, Germany.
BMC medical education
|February 19, 2025
概括
人工智能聊天机器人训练学生模拟患者访谈,为传统角色扮演提供了有效和首选的替代方案. 这种创新方法通过互动,虚拟的患者接触来增强健康教育.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 数字健康数字健康
背景情况:
- 使用GPT-4开发的基于AI的新机器人模拟了用于教育角色扮演的历史采访.
- 由大学讲师和人工智能专家组成的跨学科团队创建的.
- 为健康研究计划提供了与演员或真实患者的传统角色扮演的替代方案.
研究的目的:
- 为了评估基于人工智能的机器人的有效性和学生接收,用于培训历史采访.
- 为了评估学生的满意度,虚拟患者的准确性,现实主义和整体质量.
主要方法:
- 通过专有聊天机器人平台使用基于GPT-4的数字教学助理.
- 为在线医疗保健学生实施虚拟历史记忆采访培训.
- 进行了一项定量调查,以评估学生的反和机器人的表现.
主要成果:
- 学生们更喜欢人工智能驱动的方法,因为它具有沉浸式和交互性的性质.
- 超过80%的学生将虚拟患者的专业和内容准确性评为好到优秀.
- 大多数学生发现,基于文本的聊天机器人紧密模拟了一个真正的历史记录采访,甚至更喜欢它的人在角色扮演.
结论:
- 人工智能机器人展示了作为一种多功能工具的巨大潜力,可以增强各种健康学科的学习体验.
- 强调了将人工智能技术纳入教育实践的转变.
- 表明在医疗保健培训中,人工智能驱动的模拟具有有希望的未来.
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