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Visualization Empowerment: How to Teach and Learn Data Visualization (Dagstuhl Seminar 22261)

Authors Benjamin Bach, Sheelagh Carpendale, Uta Hinrichs, Samuel Huron and all authors of the abstracts in this report



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Author Details

Benjamin Bach
  • University of Edinburgh, GB
Sheelagh Carpendale
  • Simon Fraser University, Vancouver, CA
Uta Hinrichs
  • University of Edinburgh, GB
Samuel Huron
  • Télécom Paris, Institut Polytechnique de Paris, CNRS i3 (UMR 9217), Palaiseau, FR
and all authors of the abstracts in this report

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Benjamin Bach, Sheelagh Carpendale, Uta Hinrichs, and Samuel Huron. Visualization Empowerment: How to Teach and Learn Data Visualization (Dagstuhl Seminar 22261). In Dagstuhl Reports, Volume 12, Issue 6, pp. 83-111, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/DagRep.12.6.83

Abstract

Data visualization is becoming an important asset for a data-literate, informed, and critical society. Despite the variety of existing resources to teach theories and practical skills in this domain, little is known about 1) how learning processes in the context of visualization unfold and 2) best practices for engaging and teaching data visualization to diverse audiences and in different contexts. This Dagstuhl Seminar invited practitioners, researchers, and teachers from the areas of visualization, design, education and cognitive psychology to explore these questions from multiple perspectives. Through a range of practical activities, talks, and discussions, we have begun characterizing and classifying teaching methodologies. We have redacted a pedagogical manifesto, and started formalizing the concept of improvisation with visualization in the context of teaching and learning. We have also interrogated creativity as an important aspect of visualization teaching and learning and explored links between data physicalization and visualization teaching activities. Across these different themes, we have begun to map out the challenges of visualization teaching and learning and the opportunities for research and practice in this area.

Subject Classification

ACM Subject Classification
  • Human-centered computing → Visualization theory, concepts and paradigms
  • Human-centered computing → Visualization design and evaluation methods
Keywords
  • Information Visualization
  • Visualization Literacy
  • Data Literacy
  • Education

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