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Suitable Data

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Abstract

This chapter begins the practical part of the book by reviewing the nature and scope of data already collected by the higher education sector (nationally in the UK and internationally) and critiquing their ‘suitability’ for the metric outlined in Chapters 3, 4 and 5. This chapter also conceptualises the nature of the analysis of these data to show what kind of data modelling is required for the proposed metric, in order for the metric to measure outcomes that focus on the extent to which epistemic inclusion of international students is realised through specific characteristics of the teaching process. Conceptualisations of the analysis process in this chapter draw attention to the ways in which the TEF can lead to significant systemic changes.

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Authors and Affiliations

  1. School of Social Science and Public Policy, Keele University, Keele, Staffordshire, UK

    Aneta Hayes

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  1. Aneta Hayes
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Correspondence to Aneta Hayes .

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Hayes, A. (2019). Suitable Data. In: Inclusion, Epistemic Democracy and International Students. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-11401-5_6

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  • DOI: https://doi.org/10.1007/978-3-030-11401-5_6

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  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-030-11400-8

  • Online ISBN: 978-3-030-11401-5

  • eBook Packages: EducationEducation (R0)

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