可视化
计算机科学
数据可视化
焦点小组
光学(聚焦)
人机交互
信息可视化
视觉素养
多媒体
读写能力
工作(物理)
数学教育
数据建模
数据科学
过程(计算)
作者
Li, Yixuan,Endert, Alex,Roberts, Jessica
标识
DOI:10.2312/eved.20251023
摘要
Data visualization literacy is essential for K-12 students, yet existing practices emphasize interpreting pre-made visualizations rather than creating them. To address this, we developed the DPV (Domain, Purpose, Visual) framework, which guides middle school students through the visualization design process. The framework simplifies design into three stages: understanding the problem domain, specifying the communication purpose, and translating data into effective visuals. Implemented in a twoweek summer camp as a usage scenario, the DPV framework enabled students to create visualizations addressing community issues. Evaluation of student artifacts, focus group interviews, and surveys demonstrated its effectiveness in enhancing students' design skills and understanding of visualization concepts. This work highlights the DPV framework's potential to foster data visualization literacy for K-12 education and broaden participation in the data visualization community.
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