用人工智能语言模型学习:高等教育医学问题的开发和评分指南
1Department of Experimental Medical Science, Lund University, Lund, Sweden. thiago.moulin@neuro.uu.se.
Journal of medical systems
|April 23, 2024
概括
人工智能 (AI) 语言模型可以提高生物医学教育中的参与度和批判性思维. 教师可以利用人工智能工具来培养学生更深入的理解和智力好奇心.
科学领域:
- 医学教育 医学教育
- 生物医学科学 生物医学科学
- 教育技术的教育技术
背景情况:
- 医学和生物医学教育中的传统教学方法往往无法充分吸引学生或培养批判性思维.
- 人工智能 (AI) 语言模型是积极学习的创新方法,促进智力好奇心和更深入的理解.
研究的目的:
- 探索将人工智能语言模型集成到生物医学教育中,以加强教学和学习.
- 为教育工作者提供利用人工智能模型实现高水平学习成果和批判性思维发展的策略.
主要方法:
- 利用观察学习成果结构 (SOLO) 分类学来设计人工智能辅助学习活动.
- 开发一个评分表来评估学生在与AI语言模型合作时的表现.
主要成果:
- 人工智能语言模型可以通过提供动态学习体验来改变生物医学教育.
- 有效的整合需要教育工作者了解AI的好处,局限性和战略应用.
结论:
- 人工智能语言模型为促进学生参与和积极学习在生物医学领域提供了巨大的潜力.
- 对人工智能工具的战略实施对于创建有效,为未来做好准备的学习体验至关重要.
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