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医学教育中的智能评估系统:系统性审查
Majid Alizadeh1, Maryam Jafar Sameri2
1Student Research Committee, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
概括
医疗教育中的智能评估系统 (IAS) 通过立即反和减少教师工作量,提高了高达40%的学习成果. 这些先进的系统为全球医学培训提供了变革性的潜力.
科学领域:
- 医疗教育 技术 技术 医学教育
- 教育评估的教育评估
- 健康 职业 教育 教育 专业
背景情况:
- 智能评估系统 (IAS) 是提高医学教育流程和学生评估的先进工具.
- 这些系统利用算法快速评估学生的表现和学习进度.
研究的目的:
- 系统地审查IAS在医学教育中的作用和影响.
- 为了比较IAS与传统评估方法的有效性.
主要方法:
- 按照PRISMA框架进行系统审查.
- 在Embase,PubMed,ProQuest,Web of Science和Scopus进行搜索,截至2024年3月.
- 包括10项基于预定义标准的研究,来自2741个已识别的文章.
主要成果:
- 在特定的背景下,IAS可以提高高达40%的学习成果.
- 关键的好处包括立即反,减少教师的工作量,提高学生的表现.
- 使用ML和VR的IAS允许更准确地评估临床和认知技能.
结论:
- 国际会计准则 (IAS) 显著改善了教育过程和学术评估.
- 成功实施需要精心设计,培训和支持.
- 国际医学协会 (IAS) 对医学教育具有变革性的潜力,但需要进一步研究长期影响和可扩展性.
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