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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2019 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
ACU Research Bank
Part of book or chapter of book . 2019
Data sources: ACU Research Bank
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The Global Education Industry, Data Infrastructures, and the Restructuring of Government School Systems

Authors: Lingard, Bob;

The Global Education Industry, Data Infrastructures, and the Restructuring of Government School Systems

Abstract

This chapter focuses on a largely hidden dimension of the privatization and commercialization of public schooling systems, namely the role of edu-businesses in relation to the creation of data infrastructures that are indispensable to the structuring of government schooling systems today. Large, private ed-tech companies are an important element of the Global Education Industry (GEI) and have been important in the creation of interoperability standards and the provision of these structuring data infrastructures. The chapter shows how the move to network governance with the involvement of edu-businesses and philanthropies alongside state actors in all aspects of the policy cycle has facilitated this work of ed-techs as an example of ‘extrastatecraft’. The chapter documents two case studies: one Australian and the other in the USA of the work of ed-techs, in relation to data infrastructures. The Australian case analyses the development of the National Schools Interoperability Program (NSIP), which functions in a networked governance mode through collaboration between governments and ed-tech companies. The second case documents the InBloom data infrastructure initiative across nine US states funded by the Gates Foundation (2011–2014). InBloom sought to provide a single platform for the sharing of data about schooling across these states and was set against President Obama’s Race to the Top legislation that demanded school systems develop ‘data systems to support instruction’. Parental and teacher union opposition around data privacy to InBloom and to NSIP developments in Australia will also be outlined.

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Australia
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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