‘Tracking’ learning
Residualising risk through dashboard data
Datos Bibliográficos
| ID | 21501751 |
|---|---|
| Autores | Ian Hardy (0000-0002-8124-8766, The University of Queensland, autor de correspondencia), Louise G Phillips (0000-0002-2937-145X, The University of Queensland), M Obaidul Hamid (0000-0003-3205-6124, The University of Queensland), Reye (0000-0002-1539-1839, University of Bristol) |
| Año | 2026 |
| Páginas | 1-22 |
| Fecha de publicación | 2026-05-07 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of Education Policy (JOURNAL) |
| Identificadores de la revista | ISSN: 0268-0939 • E-ISSN: 1464-5106 |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/02680939.2026.2667292 |
| OpenAlex | W7160550498 |
| Idioma | EN |
| Referencias citadas | 25 |
This article provides preliminary insights into how a particular data technology platform was introduced into one school site in a large Australian state and how it served as a ‘policy instrument’. The research draws upon critical data studies, and notions of risk, to develop the metaphor of ‘tracking’ in relation to students’ learning; such tracking helps to elaborate the myriad ways in which data were understood in the context of this platform. Interviews were undertaken with leading school administrators and teachers who were instrumental in disseminating information about the initiative. The research reveals: how this new platform was construed as helping ‘keep track’ of data in a more timely fashion than was the case with the existing data management system; a greater level of detail/granularity in relation to how students’ learning was ‘tracked’, and; how more personalised conversations were able to be generated in relation to students’ work, providing greater ‘traction’ on their learning. While the article reveals how educators can take a more active stance in relation to their students’ learning, it also shows how such actions were framed within what can be understood as increasing risk mitigation which policy support for data platforms enable
Dashboard · Data collection · Education, Healthcare and Sociology Research · Educational Assessment and Improvement · Qualitative Research Methods and Ethics
What’s the Problem with Learning Analytics?
Do Predictive Analytics Dream of Risk-Free Education? The Politics of Risk Mitigation
A patchwork of platforms
Against contextlessness in Learning, Media and Technology
Datafied school life
Digital education utopia
The construction of legitimacy
‘Technology is not created by the sky’
Linking learning behavior analytics and learning science concepts
Informing learning design through analytics
Health risks and outcomes that disproportionately affect women during the Covid-19 pandemic
Introduction
Datafication research
Re-presentations and im-possibilities
Digital education governance
Defining risk
Great expectations
The Governmental Topologies of Database Devices
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |