Bautista John Robert
Sinclair School of Nursing, University of Missouri-Columbia, Columbia, Missouri, United States.
School of Information, University of Texas at Austin, Austin, Texas, United States.
Appl Clin Inform. 2024 Oct;15(5):889-897. doi: 10.1055/a-2385-1544. Epub 2024 Aug 13.
The Applied Public Health Informatics Competency Model lists "data analysis, visualization, and reporting" as one of the eight competencies when teaching public health informatics. Thus, public health informatics students need to develop knowledge and skills in visualizing public health data. Unfortunately, there is limited work that discusses pedagogical principles that could guide the implementation of pedagogical activities related to data visualization in public health informatics.
This study aimed to introduce, discuss, and reflect on pedagogical principles that were implemented for a data visualization project in an undergraduate public health informatics course.
A reflective teaching approach was used to guide the discussion and reflection on how pedagogical principles were implemented for a data visualization project in an undergraduate public health informatics course. The generic implementation framework (i.e., preimplementation, implementation, and postimplementation) was used to organize the discussion of the course's implementation.
Four pedagogical principles were implemented as part of a data visualization project in an undergraduate public health informatics course: scaffolding (i.e., outputs built on top of each other), constructivism (i.e., students apply knowledge and work in teams to create a dashboard), critical consciousness (i.e., embedding social determinants of health (SDOH) in their dashboard), and equity and inclusion (i.e., using a free data visualization software that is easy to use for beginners and is used by public health institutions). Postimplementation reflection revealed areas of improvement, such as enhancing group advising, adding more SDOH variables in the dashboard, and plans for scalability.
A data visualization project in an undergraduate public health informatics course could benefit from implementing multiple pedagogical principles. Overall, creating dashboards can be a learning tool to enhance data visualization skills among undergraduate public health informatics students. Dashboards can also emphasize the impact of health disparities and inequities in public health by incorporating the principles of SDOH.
《应用公共卫生信息学能力模型》将“数据分析、可视化和报告”列为公共卫生信息学教学的八项能力之一。因此,公共卫生信息学专业的学生需要培养可视化公共卫生数据的知识和技能。不幸的是,很少有工作讨论能够指导公共卫生信息学中与数据可视化相关的教学活动实施的教学原则。
本研究旨在介绍、讨论和反思在本科公共卫生信息学课程的数据可视化项目中实施的教学原则。
采用反思性教学方法来指导关于本科公共卫生信息学课程中数据可视化项目教学原则实施方式的讨论和反思。通用实施框架(即实施前、实施中和实施后)用于组织对课程实施情况的讨论。
在本科公共卫生信息学课程的数据可视化项目中实施了四项教学原则:支架式教学(即输出相互叠加构建)、建构主义(即学生应用知识并团队协作创建仪表板)、批判意识(即在其仪表板中纳入健康的社会决定因素(SDOH))以及公平与包容(即使用一款免费且易于初学者使用、公共卫生机构也会使用的数据可视化软件)。实施后的反思揭示了需要改进的方面,例如加强小组指导、在仪表板中添加更多SDOH变量以及可扩展性计划。
本科公共卫生信息学课程中的数据可视化项目可受益于实施多种教学原则。总体而言,创建仪表板可以成为提高本科公共卫生信息学专业学生数据可视化技能的学习工具。通过纳入SDOH原则,仪表板还可以强调公共卫生中健康差异和不平等的影响。