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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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References
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Nikolas Rose
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TL;DR: In this paper, N. Katherine Hayles separates hype from fact, investigating the fate of embodiment in an information age, and relates three interwoven stories: how information lost its body, that is, how it came to be conceptualized as an entity separate from the material forms that carry it; the cultural and technological construction of the cyborg; and the dismantling of the liberal humanist subject in cybernetic discourse, along with the emergence of the ''posthuman''.
Journal ArticleDOI

Sorting Things Out: Classification and Its Consequences

TL;DR: The authors present fascinating history and insights into the development of various classification systems and identify issues that arise during the creation of any classification system, such as the need to compromise between providing granular classifications that satisfy needs specific to a time and place.

The Relevance of Algorithms

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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