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

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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Publication Details

Journal
Eurographics
Published
2025-01-01
DOI
https://doi.org/10.2312/eved.20251023
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Eurographics
Data Visualization and Analytics
article

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

article en

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.

Eurographics
Georgia Institute of Technology (US)
Quality Education
Openalex Percentile: Top 51%
Data Visualization and Analytics
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