将ChatGPT集成到医学学生课程中:对教学场景,学生感知和应用的探索性研究
Anita V Thomae1, Claudia M Witt1,2, Jürgen Barth1
1Institute for Complementary and Integrative Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
JMIR medical education
|August 23, 2024
概括
将ChatGPT等人工智能 (AI) 整合到医学教育中,可以提高学生的满意度和学习能力. 人工智能生成的患者信息需要仔细审查准确性和安全性,突出需要人工智能能力发展.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 文本生成人工智能 (AI),以ChatGPT为例,在医学教育中提出了机会和挑战.
- 对于未来的医生来说,开发临床AI应用的实践技能是必不可少的.
研究的目的:
- 评估将ChatGPT整合到医学教学单元中的可行性.
- 评估人工智能整合对学生学习的影响以及对人工智能能力的感知重要性.
- 检查学生对人工智能生成的患者信息的质量和说服力的看法.
主要方法:
- 聊天GPT被纳入了医学学生的三个混合学习单元.
- 采用混合方法方法收集了定量和定性数据,包括学生的特点和对数字创新的开放性.
- 用柯克帕特里克模型评估学生满意度,学习进度和知识适用性;通过ChatGPT生成的患者信息进行了批判性审查.
主要成果:
- 与ChatGPT集成的单元导致了更高的学生满意度,学习进度和适用性.
- 学生认为AI相关能力对他们的医学课程非常重要.
- 通过ChatGPT生成的患者信息在可理解性和安全性方面被评为中度,并使用扩展提示记录了改善.
结论:
- 将人工智能能力集成到混合学习课程中,为医学教育提供了宝贵的见解.
- 聊天GPT集成显然提高了医学学生的学习经验.
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