Search

This article offers a case study of how platforms and predictive infrastructures are emerging in higher education. It examines a Learning Analytics Application Programming Interface (API) from a popular Learning Management System. The API is treated firstly as an artefact based on the computational abstraction of educational principles, and secondly as an empirical entry point to investigate the emergence of a Learning Analytics infrastructure in a large Australian university. Through in-depth ethnographic interviews and the interpretative analysis of software development workflows, the paper describes an API-mediated platformisation process involving a range of actors and systems: computational experts, algorithms, data-savvy administrative staff and large corporate actors inserting themselves through back-ends and various other dependencies. In the conclusion, the article argues that the platformisation of higher education is part of a broader project that mobilises programmability and computation to re-engineer educational institutions in the interest of efficiency and prediction. However, the social-scientific study of this project cannot ignore the practical and compromised dimension where human actors and technical systems interact and, in the process, generate meaning. [ABSTRACT FROM AUTHOR]

In Applied AI, or 'machine learning', methods such as neural networks are used to train computers to perform tasks without human intervention. In this article, we question the applicability of these methods to education. In particular, we consider a case of recent attempts from data scientists to add AI elements to a handful of online learning environments, such as Khan Academy and the ASSISTments intelligent tutoring system. Drawing on Science and Technology Studies (STS), we provide a detailed examination of the scholarly work carried out by several data scientists around the use of 'deep learning' to predict aspects of educational performance. This approach draws attention to relations between various (problematic) units of analysis: flawed data, partially incomprehensible computational methods, narrow forms of educational' knowledge baked into the online environments, and a reductionist discourse of data science with evident economic ramifications. These relations can be framed ethnographically as a 'controversy' that casts doubts on AI as an objective scientific endeavour, whilst illuminating the confusions, the disagreements and the economic interests that surround its implementations. [ABSTRACT FROM AUTHOR]

This paper argues that methods used for the classification and measurement of online education are not neutral and objective, but involved in the creation of the educational realities they claim to measure. In particular, the paper draws on material semiotics to examine cluster analysis as a 'performative device' that, to a significant extent, creates the educational entities it claims to objectively represent through the emerging body of knowledge of Learning Analytics (LA). It also offers a more critical and political reading of the algorithmic assemblages of LA, of which cluster analysis is a part. Our argument is that if we want to understand how algorithmic processes and techniques like cluster analysis function as performative devices, then we need methodological sensibilities that consider critically both their political dimensions and their technical-mathematical mechanisms. The implications for critical research in educational technology are discussed. [ABSTRACT FROM AUTHOR]

The supposed benefits of teachers' use of information and communications technology (digital technology) are well reported throughout the academic literature-most often involving issues of enhanced learning outcomes, increased pupil engagement and more efficient management and organisation of learning. This paper uses survey data from 683 teachers in 24 secondary schools across the UK to analyse the factors influencing how these benefits are being experienced. In particular, the paper explores the complex relationships between teachers' perceptions of technology-related benefits and a range of individual, classroom, school and system-level issues. A number of mediating issues and influences are identified and discussed throughout these analyses. In particular, it is suggested that teachers' perceptions of the benefits of using technology are influenced more by institutional rather than individual characteristics. A number of possible reasons are discussed, highlighting the importance of social and cultural contexts of digital technology use in education. Practitioner Notes What is already known about this topic So far, research on teachers' perceptions of the benefits of information and communication technologies (ICTs) has shown that while some teachers effortlessly 'assimilate' and incorporate digital technologies into their teaching, and are more inclined to see the benefits of technology use in their classrooms, many others are often 'blamed' for failing to see the 'obvious' benefits of ICTs in the classroom., Descriptions and analyses currently available therefore position particular groups and 'types' of teachers as having rather uneasy relationships with technology, while at the same time representing technology use as the most rational and obvious choice for all teachers, irrespective of social and cultural differences., What this paper adds The paper argues that there is a need for more attention to be paid to how digital technologies are being used between different schools and, more problematically, to explore the relationship between teachers' perceptions and a range of individual and institutional factors., The paper attempts to move beyond the 'discourses of deficiency' that characterise some schoolteachers as lacking individual attributes, capabilities and the required rational mindset to appreciate the 'compelling potential' of ICTs., In particular, this paper explores in more detail the complex relationships between the benefits of technology use as perceived by schoolteachers and the various individual, classroom, school and system-level issues that may underlie these perceptions. The findings suggest that broader contextual and cultural dimensions may mediate and significantly alter individual perceptions., Implications for practice and/or policy This paper points to the need to develop a more rounded picture of the relationship(s) between the social contexts that surround schools, teachers and technology use. Indeed, there is arguably a need to move beyond 'blaming' certain groups of teachers for not making best use of technology (ie, those who are older, female and so on)., As such, the data presented in this paper support the emerging argument to move beyond placing 'dangerous moral imperatives' onto individual teachers to change their practices and processes in line with the assumed 'affordances' of digital technology., Individual teachers or whole schools could draw on the social shaping perspective and the findings presented in this paper to articulate a more critically minded set of responses in relation to digital technologies in their contexts, resisting individualising and blaming discourses that unfairly position them as the weak link in an otherwise linear, robust and unproblematic chain of deterministic assumptions. [ABSTRACT FROM AUTHOR]

This article addresses the deliberately speculative question of 'What might the school of 2030 be like?', with a specific focus on the influences of digital technologies. The article adopts the methodological approach of 'social science fiction' to explore the ways in which digital technologies might be used in one Australian high school in 2030 (Lakeside), and what this might mean for the people whose lives are enmeshed with these technologies. Through the co-construction of five social science fiction 'vignettes' about life within Lakeside, the article considers the increasing prevalence of dataveillance, digital deskilling and the de-territorialization of schooling. The article then goes on to consider changing relationships between time/place, material and coded structures, as well as the increasingly platformized and data-driven nature of schooling in the 2020s. The article ends by considering the ways in which critical scholars can continue to use the methodological approach of social science fiction writing with regard to unpacking the politics of digital education futures. [ABSTRACT FROM AUTHOR]