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

January 1st, 2025 | RESEARCH

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.

Document

https://par.nsf.gov/biblio/10621604-dpv-domain-purpose-visual-framework-data-visualization-design-pedagogical-method-middle-schoolers

Team Members

Yixuan Li, Contributor, Georgia Institute of Technology
Alex Endert, Co-Principal Investigator, Georgia Institute of Technology
Jessica Roberts, Principal Investigator, Georgia Institute of Technology

Funders

Funding Source: NSF
Funding Program: AISL
Award Number: 2314109

Related URLs

Air Pollution Visualizations for Promoting Data Literacy with Middle Schoolers and the Public

Tags

Audience: General Public | Middle School Children (11-13) | Scientists
Discipline: Climate
Resource Type: Research
Environment Type: Summer and Extended Camps