Governing teachers through datafication : Physical–virtual hybridity and language interoperability in teacher accountability

Journal article


Holloway, Jessica and Lewis, Steven. (2022). Governing teachers through datafication : Physical–virtual hybridity and language interoperability in teacher accountability. Big Data and Society. 9(2), pp. 1-14. https://doi.org/10.1177/20539517221137553
AuthorsHolloway, Jessica and Lewis, Steven
Abstract

In this paper, we draw on Foucault's and Deleuze's theorisations of discipline and control, respectively, to understand a teacher accountability system in the US state of Texas: the Texas Teacher Evaluation and Support System (hereafter, T-TESS). Specifically, we focus on the interplay of physical and virtual modes of governance – which we develop here as physical–virtual hybridity – and the techniques that make these physical and virtual domains compatible via language interoperability, with T-TESS deployed as a representative empirical case to show how such technologies work to govern teacher subjectivity. First, in-person appraiser meetings and observations re-code teachers’ linguistic behaviours, so their physical bodies and practices can become legible to and interoperable with the hybrid T-TESS system. This avoids any possible syntax errors between the linguistic expression of physical teacher speech and the digital coding language of T-TESS. Second, these digital bodies of data can now be viewed as proxies for the physical teacher body in the classroom, allowing the constant modulation in physical space (teacher bodies) and digital space (bodies of data). This is the physical–virtual hybridity of T-TESS, whereby discipline and control work symbiotically to govern both the physical and the digital expressions of teachers and their teaching. In this way, the disciplining of teachers’ language has profound effects on teachers’ bodies, both corporeal and digital.

KeywordsT-TESS; datafication; discipline; control; physical–virtual hybridity; language interoperability; teacher accountability
Year2022
JournalBig Data and Society
Journal citation9 (2), pp. 1-14
PublisherSAGE Publications
ISSN2053-9517
Digital Object Identifier (DOI)https://doi.org/10.1177/20539517221137553
Scopus EID2-s2.0-85144821582
Open accessPublished as ‘gold’ (paid) open access
Page range1-14
FunderAustralian Research Council (ARC)
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates
Online27 Dec 2022
Publication process dates
Deposited16 Jun 2023
ARC Funded ResearchThis output has been funded, wholly or partially, under the Australian Research Council Act 2001
Grant IDDE190101140
DE190101141
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