在健康数据科学课程中识别学习偏好和策略:系统审查
Narjes Rohani1, Stephen Sowa2, Areti Manataki3
1Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
JMIR medical education
|August 12, 2024
概括
健康数据科学 (HDS) 学生更喜欢视觉学习和逻辑步骤. 需要更多的研究来了解HDS教育偏好和更好的课程设计策略.
科学领域:
- 卫生数据科学教育健康数据科学
- 跨学科学习 跨学科学习
背景情况:
- 健康数据科学 (HDS) 教育带来了重要的学习和教学挑战.
- 对于HDS学生的具体学习经验和偏好,人们的了解有限.
研究的目的:
- 系统地审查和识别学生在健康数据科学学科中使用的学习偏好和策略.
主要方法:
- 在2023年6月之前对来自10个数据库的849篇论文进行了系统审查,遵守PRISMA指南.
- 包括任何学术水平的HDS学习偏好/策略的英语初级研究.
- 使用混合方法评估工具评估偏差风险,并为结果使用叙事综合.
主要成果:
- 综合了2009-2021年间发表的8项研究 (0.9%),主要关注学习偏好 (7/8项研究).
- 高度学习系统的学习者更喜欢视觉展示,逻辑/顺序学习流程和抽象信息.
- 学生的合作偏好各不相同,有些人喜欢团队合作,有些人喜欢独立工作.
结论:
- 审查的研究质量很好 (73%-100%),但数量有限,依赖于自我报告的数据.
- 建议使用学习分析等方法进行进一步的研究,以解决HDS教育中的知识差距.
- 关于HDS课程设计的建议包括整合视觉材料和逐步说明.
关键词:
生物信息学是一种生物信息学.卫生数据科学健康数据科学这是一个跨学科的跨学科课程.学习方法的学习方法.学习偏好学习偏好.学习战略学习策略学习战术的学习策略医学教育 医学教育系统性审查 系统性审查更多相关视频
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