Inscribing uncertainty. Visualizing edu-automation through spatializing techniques

Bibliographic Data

ID2925541
AuthorsM H Bruun (0000-0002-9877-8800, Aarhus University, corresponding author), Thea Engstrøm Vejlin (Aarhus University)
Year2025
Volume46
Issue3
Pages379-397
Publication date2025-05-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDiscourse Studies in the Cultural Politics of Education (JOURNAL)
Journal identifiersISSN: 0159-6306 • E-ISSN: 1469-3739
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01596306.2025.2452031
OpenAlexW4406926108
LanguageEN
Citations received4
References cited25

How are educational values and pedagogical approaches inscribed into automated education technologies and their data visualizations? In this article we analyze the design process and technical and pedagogical debates of a team of researchers and developers working on an automated scoring tool for primary school students’ early writing as part of an innovation project. We demonstrate that diagrams and dashboards are not just representations, but also transformations of data, and draw on shared cultural understandings of how to read graphs and how to bridge the gap between statistical literacy and action-oriented data interpretations. Zooming in on attempts to visualize the inherent uncertainties of the automated scorings and on users’ reactions to a mock-up dashboard, we suggest that not only teachers, but also parents, policy-makers, and others should reflect on the pedagogic philosophies, central concepts, and functionings of automated technologies in education

Aesthetics · Art · Automation · Epistemology · Sociology · Engineering · Global Educational Policies and Reforms · Participatory Visual Research Methods · Philosophy

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