DPV (Domain, Purpose, Visual) Framework: A data visualization design pedagogical method for middle schoolers

Abstract
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.
Description

CCS Concepts: Human-centered computing → Visualization design and evaluation methods; Empirical studies in visualization

        
@inproceedings{
10.2312:eved.20251023
, booktitle = {
EuroVis 2025 - Education Papers
}, editor = {
Aurisano, Jillian
and
Laramee, Robert S.
and
Nobre, Carolina
}, title = {{
DPV (Domain, Purpose, Visual) Framework: A data visualization design pedagogical method for middle schoolers
}}, author = {
Li, Yixuan
and
Endert, Alex
and
Roberts, Jessica
}, year = {
2025
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-273-8
}, DOI = {
10.2312/eved.20251023
} }
Citation