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

Roberts, J. (Speaker)

School of Computer Science & Engineering

Activity: Participating in or organising an event › Participation in Academic workshop, seminar, course

Description

Dagstuhl Seminar 22261. Visualization Empowerment: How to Teach and Learn Data Visualization ( Jun 26 – Jul 01, 2022 )

This seminar set out to discuss timely issues and approaches to teaching and education in data visualization. The topic is of growing importance in a world where more and more content is being shared through online news and social media. Our mission as researchers, practitioners and educators in data visualization is to assure quality education for everyone engaging with visualization; this ranges from visualization designers, data scientists, school teachers, journalists, working professionals, students, as well as general public audiences.

Period	26 Jun 2022 → 1 Jul 2022
Event type	Seminar
Conference number	Dagstuhl Seminar 22261
Location	Dagstuhl, GermanyShow on map
Degree of Recognition	International

Keywords

Data Visualisation
Visualisation
Education
Pedagogy
Teaching and Learning
Information Visualisation
Scientific Visualisation

Documents & Links

Report from Dagstuhl Seminar 22261 Visualization Empowerment: How to Teach and Learn Data Visualization Benjamin Bach∗1, Sheelagh Carpendale ∗2, Uta Hinrichs ∗3, and Samuel Huron ∗4 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.

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

Description

Keywords

Documents & Links

Related content

Research output

Reflections and Considerations on Running Creative Visualization Learning Activities

Challenges and Opportunities in Data Visualization Education: A Call to Action

Data Meets Creativity: Authentic Learning through Data Art Design and Exhibition

Impacts

Design Methods for Computing (including Five Design-Sheets)

Research Institute of Visual Computing (RIVIC)

Project Rainbow

Activities

IEEE VIS: Visualization & Visual Analytics

EduVis : Workshop on Visualization Education, Literacy, and Activities

Prizes

Best Short Paper (the David Duce award) for: Towards Developing a Digital application for the Five Design-Sheets Methodology