Creating Data Art: Authentic Learning and Visualisation Exhibition

Research output: Contribution to conferencePaperpeer-review

Electronic versions

Documents

Links

We present an authentic learning task designed for computing students, centred on the creation of data-art visualisations from chosen datasets for a public exhibition. This exhibition was showcased in the cinema foyer for two weeks in June, providing a real-world platform for students to display their work. Over the course of two years, we implemented this active learning task with two different cohorts of students. In this paper, we share our experiences and insights from these activities, highlighting the impact on student engagement and learning outcomes. We also provide a detailed description of the seven individual tasks that learners must perform: topic and data selection and analysis, research and art inspiration, design conceptualisation, proposed solution, visualisation creation, exhibition curation, and reflection. By integrating these tasks, students not only develop technical skills but also gain practical experience in presenting their work to a public audience, bridging the gap between academic learning and professional practice.

Keywords

  • Visualisation, Data art, Authentic learning, Pedagogy, Information Visualisation, Exhibition
Original languageEnglish
Number of pages9
Publication statusAccepted/In press - 29 Jul 2024
EventComputer Graphics & Visual Computing (2024): 42nd Computer Graphics & Visual Computing Conference - City, University of London, London, United Kingdom
Duration: 12 Sept 202413 Sept 2024
Conference number: 42
https://cgvc.org.uk/CGVC2024/

Conference

ConferenceComputer Graphics & Visual Computing (2024)
Abbreviated titleCGVC Eurographics
Country/TerritoryUnited Kingdom
CityLondon
Period12/09/2413/09/24
Internet address

Research outputs (19)

View all

Accolades (1)

View all

View graph of relations