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Open AccessJournal ArticleDOI

Algorithmic skin: health-tracking technologies, personal analytics and the biopedagogies of digitized health and physical education

Ben Williamson
- 02 Jan 2015 - 
- Vol. 20, Iss: 1, pp 133-151
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TLDR
The ways in which algorithms are converging with eHPE through the emergence of new health-tracking and biophysical data technologies designed for use in educational settings are considered.
Abstract
The emergence of digitized health and physical education, or ‘eHPE’, embeds software algorithms in the organization of health and physical education pedagogies. Particularly with the emergence of wearable and mobile activity trackers, biosensors and personal analytics apps, algorithmic processes have an increasingly powerful part to play in how people learn about their own bodies and health. This article specifically considers the ways in which algorithms are converging with eHPE through the emergence of new health-tracking and biophysical data technologies designed for use in educational settings. The first half of the article provides a conceptual account of how algorithms ‘do things’ in the social world, and considers how algorithms are interwoven with practices of health tracking. In the second half, three key issues are articulated for further exploration: (1) health tracking as a ‘biopedagogy’ of bodily optimization based on data-led and algorithmically mediated understandings of the body; (2) healt...

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Journal ArticleDOI

Poetry in motion: in search of the poetic in health and physical education

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Dissertation

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Use of Digital Health Information for Health Information Seeking Among Men Living With Chronic Disease: Data From the Health Information National Trends Survey.

TL;DR: Factors associated with online health information seeking among males living with diabetes, including education, income, age, identifying as Hispanic, being a smoker, using a device to track progress toward a health-related goal, and using device to seek health information were all related to eHealth sum scores.
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Data Work in Education: Enacting and Negotiating Care and Control in Teachers' Use of Data-Driven Classroom Surveillance Technology

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References
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Sorting Things Out: Classification and Its Consequences

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TL;DR: This chapter contains section titled: Patterns of Inclusion, Cycles of Anticipation, The Evaluation of Relevance, The Promise of Algorithmic Objectivity, Entanglement with Practice, and The Production of Calculated Publics.
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