在本科公共卫生信息学课程中实施数据可视化项目的教学原则
1Sinclair School of Nursing, University of Missouri-Columbia, Columbia, Missouri, United States.
Applied clinical informatics
|August 13, 2024
概括
本研究介绍了在公共卫生信息学中教学数据可视化的教学原则. 实施这些原则,包括脚手架和建设主义,提高学生的数据可视化技能和对健康差异的理解.
科学领域:
- 公共卫生信息学 公共卫生信息学
- 教育技术的教育技术
- 数据可视化教学教学
背景情况:
- 应用公共卫生信息学能力模型强调数据分析,可视化和报告.
- 需要教学原则来指导公共卫生信息学中的数据可视化教育.
- 本科生需要在可视化公共卫生数据方面的实践技能.
研究的目的:
- 介绍,讨论和反思数据可视化项目的教学原则.
- 为了提高本科公共卫生信息学学生的数据可视化技能.
- 在数据可视化中探索健康的社会决定因素 (SDOH) 的整合.
主要方法:
- 采用了一种反思式教学方法.
- 一个通用的实施框架 (实施前,实施,实施后) 构建了讨论的结构.
- 在本科课程中专注于数据可视化项目.
主要成果:
- 实施了四个教学原则:脚手架,建设主义,批判意识 (SDOH) 和公平/包容.
- 学生在团队中应用知识,创建仪表板.
- 实施后的反思确定了需要改进的领域,包括集团咨询和SDOH变量集成.
结论:
- 数据可视化项目有效提高公共卫生信息学学生的技能.
- 实施多种教学原则是有益的.
- 仪表板可以通过SDOH整合来突出健康差异和不平等.
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