Who said only military officers can deal with uncertainty? On the importance of uncertainty in edtech data visualisations.

AI-powered predictive systems have high margins of error. However, data visualisations of algorithmic systems in education and other social fields tend to visualise certainty, thus invisibilising the underlying approximations and uncertainties of the algorithmic systems and the social settings in wh...

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Publicado en:Discourse: Studies in the Cultural Politics of Education Vol. 46; no. 3; pp. 359 - 379
Autores principales: Macgilchrist, Felicitas, Jarke, Juliane
Formato: Artículo
Publicado: Taylor & Francis Ltd Jun2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Who said only military officers can deal with uncertainty? On the importance of uncertainty in edtech data visualisations.
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        au:
          Macgilchrist, Felicitas
          Jarke, Juliane
        affil:
          Re:Lab & Department of Educational Sciences, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
          BANDAS Center & Department of Sociology, University of Graz, Graz, Austria
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        Artificial intelligence
        Military officers
        Data analytics
        Socialization
        Social systems
      sug:
        subj:
          Artificial intelligence
          Military officers
          Data analytics
          Socialization
          Social systems
      keyword:
        Algorithms
        dashboards
        data subjects
        data visualization
        datafication
        platforms
        predictive analytics
        uncertainty
      ab: AI-powered predictive systems have high margins of error. However, data visualisations of algorithmic systems in education and other social fields tend to visualise certainty, thus invisibilising the underlying approximations and uncertainties of the algorithmic systems and the social settings in which these systems operate. This paper draws on a critical speculative approach to first analyse data visualisations from predictive analytics platforms for education. It demonstrates that visualisations of uncertainty in education are rare. Second, the paper explores uncertainty visualisations in other fields (defence, climate change and healthcare). The paper concludes by reflecting on the role of data visualisations and un/certainty in shaping educational futures. It also identifies practical implications for the design of data visualisations in education.
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