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Please note that all times are shown in the time zone of the conference. The current conference time is: 17th May 2024, 07:46:17am GMT

 
 
Session Overview
Session
28 SES 02 C: Digital futures
Time:
Tuesday, 22/Aug/2023:
3:15pm - 4:45pm

Session Chair: Gyöngyvér Pataki
Location: Gilbert Scott, Turnbull [Floor 4]

Capacity: 35 persons

Paper Session

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Presentations
28. Sociologies of Education
Paper

Platformised Teacher Professionalities: Configurations of Embodied Platformisation

Toon Tierens1, Samira Ali Reza Beigi1, Sigrid Hartong2, Mathias Decuypere1

1KU Leuven, Belgium; 2Helmut-Schmidt-Universität, Germany

Presenting Author: Tierens, Toon

Digital education platforms are in tremendous upsurge, where COVID-19 acted as a catalyst, and have increasingly found their way into the core of various education institutions. Critical education scholarship has extensively studied these developments and the intricate ways in which these platforms (re-)shape what it means to (be) educate(d) (Williamson, 2017) and how education itself is changing form (Decuypere et al., 2021). Recently, growing concerns have been expressed regarding the differential implications for teacher professionalism in an increasingly ‘platformised’ school environment, where digital education platforms are not only increasingly grounded as new forms of educational experts, but where the central role and expertise of teachers itself is equally destabilising and losing its self-evidence (Hartong & Decuypere, 2023). Put differently, what it means to be a teacher in a school, is increasingly becoming entangled with the presence of digital education platforms, shaping the pedagogical autonomy and labour of teachers, and the (potentially) perpetual need for professionalisation this implies (cf. Lewis & Decuypere, 2023; Selwyn et al., 2017).

Given these developments, it is crucial to articulate empirical accounts of the complexities of how teachers’ professionality is being reshaped, and how the teacher and teaching itself are being negotiated through platform logics, as well as the type of educational participation these platforms envision (Perrotta et al., 2021). Such accounts of platformised teacher professionalities are still largely absent in the literature (but see e.g. Landri, 2021), most significantly of all in relation to cases of non-proprietary and free and open-source (FOSS) platforms. That is to say, contemporary critical scholarship has predominantly based its critiques on the study of proprietary platforms such as Google Classroom or ClassDojo (e.g. Manolev et al., 2019), thereby largely sidestepping prominent ‘open’ alternatives such as Moodle. However, Moodle is increasingly being implemented across Europe in schools and other educational institutions as a central learning management system and learning platform to counter the contemporary dominance of proprietary actors exerting large amounts of power on education (Moodle, 2021; also Kuran et al., 2017). Fostering the four freedoms of FOSS (using, studying, altering, and improving the code ‘freely’), Moodle principally envisions teachers, firstly, as being technically capable of redesigning the open infrastructure of its platform and, secondly, as willing to open up their teaching practice by collaborating with other teachers internationally (https//moodle.com/about/open-source/). At present, we lack understanding of how this enforces different responsibilities and foci within teachers’ professionality.

To address this gap, this paper closely engages with the embedded Moodle infrastructure of one school, so as to understand how teacher professionalities (i.e. what it means to teach and be a teacher, and what is required to sustain this) are shaped through the platform. The objective of this study is primarily to analyse the educational consequences of such platforms regarding teacher professionality beyond often-mentioned privately induced logics. That is, this study focuses on the changing nature of pedagogy, responsibility, autonomy, and care, in the teacher’s professionality. By focusing on a platform that in essence still has to be designed by local schools because of Moodle’s open and customisable nature, we aim to go beyond a critical attitude that considers digital platformisation as a general external development affecting education in largely problematic ways. Rather, we approach Moodle as a case through which we can conceptualise the context-specificity of school platformisation: not as a process where schools and teachers are passively affected by an external development, but as an educational process itself to which actors actively relate. This contribution consequently analyses the configuration of teacher professionalities up close through one localised school platform, and the way teachers ‘inhabit’ and enact this platformised environment (cf. Perrotta, 2023).


Methodology, Methods, Research Instruments or Sources Used
The theoretical and methodological framework of this study is informed by the field of Science and Technology Studies (STS). Broadly speaking, STS conceives of technologies such as digital education platforms as at once acting (that is, doing something to the world and structuring educational practices) as well as enacting (that is, making users think and act in particular and predefined manners) (Decuypere, 2019). For STS, platforms are, then, not neutral tools that are to be taken for granted; they rather performatively give shape to the world (Law, 2017), formatting new educational practices and configuring teachers and their professionality in distinct ways. Thus, platforms give form to or bring into being what it means to be a teacher and what it means to teach (cf. Woolgar, 1990).

Embedded within this framework, the methodological focus of this contribution is twofold. First, a walkthrough method has been employed to initially develop a comprehensive overview of Moodle’s vision of and engagement with school education. Studying Moodle’s website, broader documentation, and the specific documentation of one school, generated the localised environment of expected use which regulates user activity. Subsequently, a technical walkthrough has been performed to study teacher interfaces of the localised Moodle platform of this school to examine how the platform envisions teachers to use Moodle and, consequently, how the teacher is designated a very specific educational, and platformised, shape (Light et al., 2018;  Suchman, 2012). To do this walkthrough, different teacher interfaces were studied by the first author by actively navigating them as a regular user (van de Oudeweetering & Decuypere, 2022), covering a wide array of educational trajectories, each requiring distinct teaching activities (general science education, STEM education, arts education, vocational education). A protocol was designed to scrutinise the relational qualities of Moodle and the ways this digital architecture invites (inter-)actions of teachers.

Second, to not overrationalise the performative power the digital platform exerts on ‘the figure of the teacher’, tailored interviews were conducted with teachers to scrutinise how teachers are configured together with Moodle and how teacher professionality emerges within this entanglement (cf. Suchman, 2012). Combining these methodological vantage points, this contribution ventures precisely at the compromised crossroad of digital platforms’ agency subtly (re-)configuring teachers and acts of teachers un-/binding themselves within platformised environments (cf. Perrotta, 2023).

Conclusions, Expected Outcomes or Findings
This research project has a double finality. First, the study contributes to an empirical and conceptual understanding of platform-teacher configurations and the formation of teacher professionality through platformised environments. Moodle at once urges teachers to acquire and sustain new pedagogical-computational knowledge and expertise – while simultaneously shifting the locus of educational care and concern of teaching itself. Echoing a desire to remove spatiotemporal barriers between Moodle teachers all over the world and to reclaim ownership of one’s platform infrastructure, teachers are increasingly positioned as frictionless and technically proficient craftsmen in the platformised school environment. Teaching furthermore appears as at once necessarily caring for what takes place within the physical contours of the classroom while being simultaneously projected as a timeless and hypermediated endeavour. Lastly, platformised teacher professionality, and hence what it means to be a teacher, posits a politicised educational care of minimising dissent between various education actors and avoiding the risk of individual teachers’ wrongdoings. In conclusion, teachers’ pedagogical responsibility comes into being as re-spatialised (i.e. shifting boundaries of teachers’ concern and responsibility), perpetually synchronised and made present (i.e. perpetual care for pupils’ present activity), and synthetically entangled (i.e. conjunction of platformised and human agency) (cf. Gulson et al., 2022).

Second, besides contributing to the conceptual complexity of platformised teacher professionalities, this study commits to a participatory engagement premised on a critical understanding of school platformisation. Based on the conceptual findings of this paper, the researchers also think with teachers about meaningful and educationally sustainable narratives of implementing digital education platforms. Arguing for shifts in pedagogical responsibility because of school platformisation allows not only to deconstruct the entangled nature of teacher professionality, but also to reconstruct practices with teachers that make teaching in these platformised environments more ‘habitable’ (i.e. to find an educational common ground) (https://www.smasch.eu/en/).
 

References
Decuypere, M. (2019). Researching educational apps: ecologies, technologies, subjectivities and learning regimes. Learning, Media and Technology, 44(4), 414–429.
Decuypere, M., Grimaldi, E., & Landri, P. (2021). Introduction: Critical studies of digital education platforms. Critical Studies in Education, 62(1), 1–16.
Gulson, K., Sellar, S., & Webb, T. (2022). Algorithms of education: How datafication and artificial intelligence shape policy. University of Minnesota Press.
Hartong, S., & Decuypere, M. (2023). Guest Editorial: Platformed professional(itie)s and the ongoing digital transformation of education. Tertium Comparationis.
Kuran, M.S., Pedersen, J.M., & Elsner, R. (2017). Learning Management Systems on Blended Learning Courses: An Experience-Based Observation.
Landri, P. (2021). To resist, or to align? The enactment of data-based school governance in Italy. Educational Assessment, Evaluation and Accountability, 33(3), 563–580.
Law, J. (2017). STS as Method. In U. Felt, R. Fouché, C. Miller, & L. Doerr-Smith (Eds.), The Handbook of Science and Technology Studies (pp. 31–57). MIT Press.
Lewis, S., & Decuypere, M. (2023). “Out of time”: Constructing teacher professionality as a perpetual project on the eTwinning digital platform. Tertium Comparationis.
Light, B., Burgess, J., & Duguay, S. (2018). The walkthrough method: An approach to the study of apps. New Media and Society, 20(3), 881–900.
Manolev, J., Sullivan, A., & Slee, R. (2019). The datafication of discipline: ClassDojo, surveillance and a performative classroom culture. Learning, Media and Technology, 44(1), 36–51.
Moodle. (2021, September 22). Moodle myths. Https://Docs.Moodle.Org/401/En/Moodle_myths.
Perrotta, C. (2023). Afterword: Platformed professional(itie)s and the ongoing transformation of education. Tertium Comparationis.
Perrotta, C., Gulson, K. N., Williamson, B., & Witzenberger, K. (2021). Automation, APIs and the distributed labour of platform pedagogies in Google Classroom. Critical Studies in Education, 62(1), 97–113.
Selwyn, N., Nemorin, S., & Johnson, N. (2017). High-tech, hard work: an investigation of teachers’ work in the digital age. Learning, Media and Technology, 42(4), 390–405.
Suchman, L. (2012). Configuration. In C. Lury & N. Wakeford (Eds.), Inventive Methods: The Happening of the Social (pp. 48–60). Routledge.
van de Oudeweetering, K., & Decuypere, M. (2022). Navigating European education in times of crisis? An analysis of socio-technological architectures and user interfaces of online learning initiatives. European Educational Research Journal, 21(6), 922–945.
Williamson, B. (2017). Learning in the “platform society”: Disassembling an educational data assemblage. Research in Education, 98(1), 59–82.
Woolgar, S. (1990). Configuring the User: The Case of Usability Trials. The Sociological Review, 38(1), 58–99.


28. Sociologies of Education
Paper

Educational Futures Unmade: Reconstructing the Design of Learning Management and Failure Prediction

Irina Zakharova1, Jarke Juliane2

1University of Bremen, ZeMKI & ifib Germany; 2University of Graz, Austria: BANDAS-Center & Department of Sociology

Presenting Author: Zakharova, Irina

This paper offers an empirical analysis of learning management systems (LMS) applying predictive analytics for risk detection in K-12 school education. Conceptually, we explore the promise of predictive analytics to function across various societal domains (e.g. education, predictive policing, digital public service provision) and how LMS configure good educational futures through risk management and mitigation. The starting point for our analysis is the observation that many design features of LMS are risk-related and future-oriented, promising educators and students to achieve success in form of good grades and high graduation rates. Appealing at first sight, this promise of successful educational futures promotes narratives of precision and efficiency inscribed in LMS design (Macgilchrist et al., 2023). Overall, design of educational technologies has been increasingly studied by sociologists of education and critical software and critical data scholars (Decuypere, 2019; Jarke & Macgilchrist, 2021; Selwyn, 2022). So far, this research focuses on the ideologies and imaginaries of technology providers inscribed in the design of educational systems (Macgilchrist, 2019; Manolev et al., 2019; Rahm, 2021; Williamson, 2017). While there are prominent discussions about the role of big tech in shaping the educational domain and the business origin of analytics in education (Davies et al., 2022; Prinsloo, 2019), the centrality of risk and failure in the design of educational technologies has yet to be addressed specifically. Attending empirically to risk prediction in LMS this paper extends on such literature, questioning what and who can be defined as ‘risk’ threatening good educational futures and in which ways.

Narratives about risk and failure, however, are not unique to educational technologies, but are widely discussed in research on predictive policing (Lum & Isaac, 2016; Egbert & Leese, 2021) and digital public service provision (Allhutter et al., 2020; Büchner & Dosdall, 2021). To understand what various ways to define ‘risk’ mean for educational futures, we draw on the concept of “spheres transgression” (Sharon, 2021) to learn about the implications of ‘risk’ inscribed in technologies in other societal domains. Sphere transgression can be understood as an advantageous encroachment of one societal domain into another, making use of distributive capacities of one domain (e.g. big tech) to advance commercially, politically, and socially in the other domains (e.g. education). We argue here that analysing LMS design features we can reconstruct how educational technologies (aim to) reconfigure the organisation of teaching and learning, course design, and interaction between teachers, learners, and administrators by mitigating risks and managing failure.

The (presumable) ability of LMS to produce big quantities of data and to quantify previously unmeasurable societal processes promise educational actors to achieve greater efficiency and more control over the everyday organisation of schooling by managing various educational risks: risk of student drop-out, students failing the course, or graduating from school altogether. To explain how such technological promises are related to actual futures, scholars of technology have connected mundane acts of design, advertising, and negotiation to future-making (Watts, 2015). In these mundane acts, the core characteristics of future-making - anticipation, aspiration, and imagination (Appadurai, 2013) – materialize in form of software design and specific features. To understand and un-make the connection between LMS features of risk prediction and educational futures this paper proposes studying what forms these anticipations, aspirations, and imaginations take in LMS design.

Overall, this paper makes a conceptual and an empirical contribution based on LMS design. Conceptually, following scholars of technology studies concerned with future-making, we shift the analytical focus to the examination of software design from past to the future. Empirically, we analyse risk-related LMS design features. Specifically, we ask how risk is defined in the design of LMS using predictive analytics.


Methodology, Methods, Research Instruments or Sources Used
This paper is based on a study of leading international LMS using or providing data for predictive analytics to define ‘risk’ in the context of K-12 education. LMS are designed to generate vast amounts of digital data about their users – both teachers and learners. Some of these data are produced automatically, for example by logging users’ behaviour and interactions within the system such as times spent on certain tasks, number of tasks solved, or courses taken. Other data are the result of both automated and manual labour, for example test scores, teachers’ grades, course attendance data, and uploaded solutions to given tasks. Design features are then understood as relational configurations of use practices, use situations and users that co-construct and co-produce social reality. Using these features and data, LMS configure educational futures through (automated) analysis and prediction. For example, based on current students’ data LMS make predictions about their (likely) success or failure, assigning them higher or lower ‘risk’ scores and providing recommendations to teachers and administrations regarding future pathways of learning.
In this paper, we apply the methodology of “feature analysis” (Hasinoff & Bivens, 2021) as a way to reconstruct and analyse how design features frame and configure risk in education. Feature analysis draws on the observation that technologies are designed as solutions to certain problems and aims at identifying how this problem is framed in the design. Feature analysis includes examination of marketing materials (e.g. app descriptions) and graphic user interfaces of the apps. Adopting the feature analysis to the studies of LMS, we examine LMS websites, user handbooks and documentation, available ‘best practice’ cases, and the LMS interface design. We analyse and compare LMS such as Blackboard, Brightspace, Canvas, its Learning, Moodle, Powerschool, and others to identify what these LMS identify as ‘risky’ and which educational actors pose ‘risks’. We qualitatively code the design features these LMS provide to define and predict risks, as well as the kinds of data used to do so (e.g. performance data, interaction log data, sociodemographic data), and actions LMS recommend to educators and students for risk mitigation. By relating these features and data to the three core characteristics of future-making - anticipation, aspiration, and imagination, - we show how LMS design configures educational futures by managing failure and writing out educational indeterminacy and complexity.

Conclusions, Expected Outcomes or Findings
This paper aims to show that LMS are designed around risk mitigation and failure management promising various actors to achieve better futures. We propose to analyse risk-related LMS design features considering their future-making capacity and shift analytical attention from studying the ideologies of software providers to the trajectories they draw for further development of education. Using the methodology of ‘feature analysis’, we identify how risk is defined in LMS according to various levels of educational actors posing ‘risks’ – i.e. district, school, student -, and according to what is considered ‘risky’ on some or every of these levels – i.e. failure, inadequacy, inefficiency – which might threaten good school education. We illustrate how the LMS-defined ‘risk’ is bound to in-system interactions (e.g. clicks, uploads, posts) and writes out the contingencies and complexities of teaching and learning processes, foregrounding only certain types of ‘risky’ behaviour over others, taking place outside the LMS. Drawing on the concept of ‘spheres transgression’ we discuss our findings together with insights from research on predictive policing and digital public service provision also concerned with various definitions of risk. So, we show that the LMS definition of ‘risk’ shifts responsibility for ‘risky’ behaviour to individuals, at the same time also foregrounding certain collective actors – schools and districts – particularly prone to include ‘risky’ individuals. Acknowledging similarities in the definitions and implications of technologically-defined ‘risk’ across various societal domains, we discuss what does it mean, when educational technologies become instruments of managing failure to aspire more successful educational futures.
References
Allhutter, D., Cech, F., Fischer, F., Grill, G., & Mager, A. (2020). Algorithmic Profiling of Job Seekers in Austria: How Austerity Politics Are Made Effective. Frontiers in Big Data, 3.
Appadurai, A. (2013). The Future as Cultural Fact: Essays on the Global Condition. Verso.
Büchner, S., & Dosdall, H. (2021). Organisation und Algorithmus: Wie algorithmische Kategorien, Vergleiche und Bewertungen durch Organisationen relevant gemacht werden. KZfSS, 73(S1), 333–357.
Davies, H., Eynon, R., Komljenovic, J., & Williamson, B. (2022). Investigating the financial power brokers behind EdTech. In S. Livingstone & K. Pothong (Eds.), Education Data Futures: Critical, Regulatory and Practical Reflections (pp. 81–92). Digital Futures Commission, 5Rights Foundation.
Decuypere, M. (2019). Researching educational apps: Ecologies, technologies, subjectivities and learning regimes. LMT.
Egbert, S., & Leese, M. (2021). Criminal futures: Predictive policing and everyday police work.
Hasinoff, A., & Bivens, R. (2021). Feature Analysis: A Method for Analyzing the Role of Ideology in App Design. Journal of Digital Social Research, 3(2).
Jarke, J., & Macgilchrist, F. (2021). Dashboard stories: How narratives told by predictive analytics reconfigure roles, risk and sociality in education. BD&S, 8(1).
Lum, K., & Isaac, W. (2016). To predict and serve? Significance, 13(5), 14–19.
Macgilchrist, F. (2019). Cruel optimism in edtech: When the digital data practices of educational technology providers inadvertently hinder educational equity. LMT, 44(1), 77–86.
Macgilchrist, F., Allert, H., Cerratto Pargman, T., & Jarke, J. (2023). Designing Postdigital Futures: Which Designs? Whose Futures? Postdigital Science and Education.
Manolev, J., Sullivan, A., & Slee, R. (2019). The datafication of discipline: ClassDojo, surveillance and a performative classroom culture. LMT, 44(1), 36–51.
Prinsloo, P. (2019). A social cartography of analytics in education as performative politics. British Journal of Educational Technology, 50(6), 2810–2823.
Rahm, L. (2021). Educational imaginaries: Governance at the intersection of technology and education. Journal of Education Policy.
Selwyn, N. (2022). Less Work for Teacher? The Ironies of Automated Decision-Making in Schools. In Everyday Automation. Routledge.
Sharon, T. (2021). Blind-sided by privacy? Digital contact tracing, the Apple/Google API and big tech’s newfound role as global health policy makers. Ethics and Information Technology, 23(1), 45–57.
Watts, L. (2015). Future Archaeology: Re-animating Innovation in the Mobile Telecoms Industry. In A. Herman, Hadlaw, & T. Swiss (Eds.), Theories of the Mobile Internet (pp. 149–169). Routledge.
Williamson, B. (2017). Decoding ClassDojo: Psycho-policy, social-emotional learning and persuasive educational technologies. LMT, 42(4), 440–453.


28. Sociologies of Education
Paper

Good Burgundy, Treason, and the Usual Suspects: A history of ILSA contracting

Camilla Addey

Autonomous University of Barcelona, France

Presenting Author: Addey, Camilla

How did International Large-Scale Assessment (ILSA) contracting emerge and develop? And what is the legacy of this history?

In studying the history of education data, research has focused on assessment practices (i.e. Hutt and Schneider 2018) and governance uses (Ozga 2009; Merry 2011; Moss 2014). Until recently, scholarship was less concerned with the making of data despite Science and Technology Studies underlining that science (this includes data) is politics by other means (Latour and Woolgar 1979; Latour 1987, 1999), thus begging for scholoarly investigation. This paper contributes to literature on the history of data, by rendering visible the history and legacy of a group of actors who have so far remained invisible. Although ILSAs are administered by the International Association for the Evaluation of Educational Achievement (IEA) and the Organization for Economic Cooperation and Development (OECD), they are mostly developed, implemented and analysed by ILSA contractors. Until today, contractors’ involvement has not been studied. This paper studies the emergence of ILSA contracting by looking into the first ILSAs at the IEA, which came under pressure to keep up with assessment developments in the USA in the 1980s. The paper then focuses on the development of new assessment approaches in the USA that were picked up in adult literacy assessments at the OECD. Finally, the paper analyses the development of the Programme for International Student Assessment (PISA) contracting. To show how the legacy of this history still shapes current ILSAs, the paper analyses how PISA contracting evolved. This history shows how individuals and organizations, which had previously been collaborating in academic projects at the IEA, won the first ILSA contracts by virtue of accumulated capitals and interpersonal trust that put them at an advantage over potential ILSA contractors. What comes to the surface are government interests, emotional bonds, and personal struggles.

To analyse how ILSA contracting emerged and evolved (between 1960 and 2020), I draw on Bourdieu’s (1993) concept of field - described as a dynamic social space of struggles with its own laws of functioning and unequally distributed power - to understand how contactors relate to one another; and actors’ habitus. The paper also draws on business network approach, which recognizes the importance of networks and the position of actors and changes of position within networks (Ford and Håkansson 2013). Finally, the paper draws on Huang and Wilkinson (2013) to analyse the dynamics and evolution of trust in ILSA contracting. Huang and Wilkinson describe both cognitive and affective trust as key to understanding business relationships and behaviour. Cognitive trust can be described as the ‘evaluation of the competence, responsibility and dependability’ (2013: 456) of actors, while affective trust is described as emotional bonds and ‘the belief that an exchange partner cares about your welfare, will act positively towards it and take care to avoid harming it’ (2013: 456). Trust can be interpersonal and interorganizational (Zaheer et al. 1998).


Methodology, Methods, Research Instruments or Sources Used
The paper is based on a qualitative research design, using Ball’s (2016) network ethnography. The approach suggests mapping, following, questioning, and visiting people and nodal actors, their lives, stories, conflicts, money, and things. Junemann et al. describe it as focusing on ‘the content, nature, and meaning of the exchanges and transactions between network participants, the roles, actions, motivations, discourses, and resources of the different actors involved’ (2016: 539). For the purposes of this paper, I focused in particular on PISA, TIMSS, and PIRLS contractors. These three ILSAs were chosen because each has had multiple implementations: seven cycles of PISA plus two in progress, seven cycles of TIMSS, and four cycles of PIRLS. By juxtaposing the data from each implementation chronologically, I was able to follow the actors and identify key actors, patterns in relationships over time, changes or anomalies that might hint at significant struggles. To map the ILSA contractors, I drew on IEA and OECD ILSA technical reports between 1990 to 2020. I then used this data to visualise the ILSA contractors as a topology of nodes connected with lines (representing the actors and relationships). The choice of interviewees was developed as an iterative process, with interviewees helping to interpret information in the documents, and documents pointing to potential interviewees and struggles. Approximately 35 interviews were carried out with high-level staff at IEA, OECD and contracting organizations. Almost all interviews were carried out over online platforms (i.e. Teams) in 2020. Interviewees are identified through a combination of randomly-assigned letters, institutional affiliation, or no letter where anonymity could be compromised.

Conclusions, Expected Outcomes or Findings
TThe paper shows how the current ILSA contractors emerged from a loosely structured academic project at IEA (approximately from the 1960s to early 1990s) which had a lasting influence over ILSA contracting in the subsequent decades. In the early years, when a passionate network of individuals with big research ideas came together, emotional bonds and feuds were developed, theoretical and methodological choices were made, and insider knowledge and experience were accumulated. In Bourdieu terms, different forms of capitals were developed in these early years, determining how the first ILSA contracts were distributed when substantial funding became available. The individuals in this network developed cultural knowledge, competences and dispositions that were key to obtaining and carrying out contracts. The reliance on the good will of experts who were willing to donate their time suggests economic capital did not shape practices in this space, until substantial US funding was secured. When ILSAs were funded, new practices and struggles emerged. In particular, the paper highlights the importance of interpersonal, affective trust and shared history.


The IEA has continued to work as it did in TIMSS 1995, openly relying on trust and shared history, whereas the OECD does this under the guise of global competition. With PISA’s formal bidding process, former interrelationships between contractors ended and contractors regrouped, formalizing former struggles between individuals and organizations. Affective trust but also the lack of it where relationships have ended, continue to shape ILSA contracting as the structure of contractors remains mostly stable, despite ILSA developments.

Finally, the paper argues that government interests, interpersonal and interorganizational struggles, and emotional bonds are embedded in the data as they determined and continue to determine who develops ILSAs.

References
Ball, S. (2016). Following policy: networks, network ethnography and education policy mobilities. Journal of Education Policy 31(5): 549-566.

Bengtsson, M. & Kock, S. (1999). Cooperation and competition in relationships between competitors in business networks. The Journal of Business & Industrial Marketing; Santa Barbara, 14(3), 178-194.

Bourdieu, Pierre. 1993. The field of cultural production. New York: Columbia University Press.

Ford, D., & Håkansson, H. (2013). Competition in business networks. Industrial Marketing Management, 42, 1017–1024.

Moss, Gemma. 2014 “Putting literacy attainment data in context: examining the past in search of the present.”Comparative Education,50:3,357 - 373,DOI:10.1080/03050068.2014.921369

Huang, Y. & Wilkinson, I. F. (2013). The dynamics and evolution of trust in business relationships. Industrial Marketing Management, 42, 455-46

Hutt, Ethan and Jack Schneider. 2018.“A thin line between love and hate: educational assessment in the United States in Assessment Cultures – Historical Perspectives, 235 - 258. Berlin: Peter Lang.

Junemann, C., Ball, S. J., & Santori, D. (2016).Joined-up Policy: network connectivity and global education governance. In K. Mundi, A. Green, B. Lingard, & A. Verger (Eds.),Handbook of Global Education Policy(pp. 535-553). Wiley-Blackwell.

Latour, B. (1987). Science in action: How to follow scientists and engineers through society. London: Harvard University Press.

Latour, B. (1999). Pandora’s hope: Essays on the reality of science studies. Cambridge, MA and Cambridge: Harvard University Press.

Latour, B., & Woolgar, S. (1979). Laboratory life – The construction of scientific facts. Princeton, NJ: Princeton University Press.

Merry, Sally Engle. 2011. “Measuring the World: Indicators, Human Rights, and Global Governance.” Current Anthropology, Vol. 52, No. S3, pp. S83-S95

Ozga, Jenny. 2009. “Governing education through data in England: from regulation to self‐evaluation.” Journal of Education Policy,24:2,149 162,DOI:10.1080/02680930902733121


 
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