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The Affective Intensities of Teacher Data Relations: Student Assessment Data Visualisations in/as School-Data-Events
Dissertation   Open access

The Affective Intensities of Teacher Data Relations: Student Assessment Data Visualisations in/as School-Data-Events

Catherine Thiele
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast, Queensland
2024
DOI:
https://doi.org/10.25907/00853
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The Affective Intensities of Teacher Data Relations - Student Assessment Data Visualisations in-as School-Data-Events26.24 MBDownloadView
Thesis Open Access

Abstract

Education policy, sociology and philosophy Education systems Student assessment data datafication data visualisations post qualitative inquiry affect theory school-data-events data desires data intra-actions affective intensities data practices
The ‘platformization’ of students, using standardised assessment data visualisations, claim to offer teachers objective stimuli to inform pedagogical decision-making. However, the quantifiable assumptions that data regimes rely on render schooling as metricised and performative. Data is not neutral. This inquiry draws attention to the presence, capacity, and potential of affect in teacher data relations. As a post qualitative inquiry, the research problematises data governance, deconstructs the nuances of data mechanisms, and experiments with 'what does data do?' to better understand the force and potential of affect in teacher data practices. This inquiry outlines how teachers are affected and affecting with/in school-data-events. It is argued that affective ways of knowledge-ing are necessary in an educational era dominated by the representational logics of data.

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