Artificial intelligence and education in China

ABSTRACT

This paper examines the political economy of artificial intelligence (AI) and education in China, through an analysis of government policy and private sector enterprise. While media and policy discourse often portray China’s AI development in terms of a unified national strategy, and a burgeoning geopolitical contestation for future global dominance, this analysis will suggest a more nuanced internal complexity, involving differing regional networks and international corporate activity. The first section considers two key policy documents published by the central Chinese government, which are shown to implicate educational institutions as influential actors in national and regional strategies for AI development, with a significant role in plans to train domestic expertise. The second section outlines three prominent private education companies: New Oriental Group, Tomorrow Advancing Life (TAL), and Squirrel AI. These companies are selected to represent important aspects of China’s development of educational AI applications, including the influence of a well-established private education sector, and a growing interest in international corporate activity. The paper concludes with the suggestion that while central government policy reserves a significant role for education in the national AI strategy, the private sector is utilising favourable political conditions to rapidly develop educational applications and markets.     

Students and society in the 2020s. Three future ‘histories’ of education and technology

ABSTRACT

As social science fiction, this paper imagines three possible futures for education and technology. Among the most important technologies emerging today are data-aggregating technologies such as AI, affective computing, adaptive or predictive software, clouds and platforms. The paper is not, however, directed at specific technologies, but at indeterminate sociotechnical configurations. Set in 2040, it offers three ‘histories’ of the 2020s. Might students become (i) ‘smooth users’, improving themselves in the pursuit of frictionless efficiency within a post-democratic frame created by large corporations, (ii) ‘digital nomads’, seeking freedom, individualism and aesthetic joy as solopreneurs exploiting state regulations and algorithmic rules while stepping out of the state and deeply into the capitalist new economy, or (iii) participatory, democratic, ecological humans embedded in ‘collective agency’ that see institutions as spaces for exploring more equitable ways of living? The paper reflects on the future research and the political, educational and technological decisions which would make each of these three fictional future histories more or less likely.     

Beyond workforce preparation: contested visions of ‘twenty-first century’ education reform

ABSTRACT

Contrary to educational policy and research assumptions about an immanent ‘twenty-first century’ future, this article uses the concept of ‘sociotechnical imaginaries’ to trace how nonprofit actors in California invented and materialized distinctive visions of educational progress. Drawing on interview and ethnographic fieldnote data, I illustrate two contrasting sociotechnical visions: A Silicon Valley vision that aimed to reduce inequalities in test-based outcomes by disseminating ‘achievement technologies’; and an Oakland vision that aspired to address systemic environmental, economic and educational inequities using ‘civic technologies’. The diversity of these futures, and the distinctive kinds of digital technologies that co-produced these visions, trouble assumptions about ‘technology’ as an unquestioned good and problematize constructions of the ‘twenty-first century’ as an ostensibly shared, democratic future. I conclude by encouraging educational researchers to clarify a politics of the ‘twenty-first century’ and explore how ‘bounded imaginaries’, like those evident in the Oakland case, offer a potentially fruitful basis for reframing global education technology policies.     

MAGIS: mobile augmented-reality games for instructional support

ABSTRACT

We present Mobile Augmented-Reality Games for Instructional Support (MAGIS), a framework for the development of mobile augmented-reality (AR) games for education. The framework supports off-the-shelf, state-of-the-art technologies that enable AR tracking and rendering on consumer-level mobile devices, and integrates these technologies with content-generation tools that simplify the development of educational AR games, especially those that extensively use narrative-based game design and player-location tracking such as location-based historical or museum adventure games. We use Igpaw: Intramuros, a proof-of-concept game developed using MAGIS, to help describe the current state of the framework and to show its efficacy for implementing outdoor location-based educational games, and we briefly outline future development plans to improve MAGIS’ AR support (especially those involving indoor scenarios) as well as to improve the instructional design and authoring phases of AR applications written using this framework.     

Emotional AI and EdTech: serving the public good?

ABSTRACT

Education Technology (EdTech) companies are deploying emotional AI to quantify social and emotional learning. Focusing on facial coding emotional AI that uses computer vision and algorithms to see, recognise, categorise and learn about facial expressions of emotion, this paper evaluates nascent usage of these technologies in education. To do this, it assesses the nature of child rights, the history and modern usage of face-based emotional AI, methodology and efficacy, and what this paper sees as a clash of private and public interests. Concern is shown to be two-fold: first is on method, especially given scope for material effects on students; second are ethical and legal concerns. While proposing a list of considerations for any implementation for these technologies in the classroom, the paper concludes that significant risks exist in deployment of these technologies in the classroom.     

The racializing forces of/in AI educational technologies

ABSTRACT

In this article, we examine the sociopolitical implications of AI technologies as they are integrated into writing instruction and assessment. Drawing from new materialist and Black feminist thought, we consider how learning analytics platforms for writing are animated by and through entanglements of algorithmic reasoning, state standards and assessments, embodied literacy practices, and sociopolitical relations. We do a close reading of research and development documents associated with Essay Helper, a machine learning platform that provides formative feedback on student writing based on standards-aligned rubrics and training data. In particular, we consider the performative acts of the algorithm in the Essay Helper platform – both in the ways that reconstitutes material-discursive relations of difference, and its implications for transactions of teaching and learning. We argue that, through these processes, the algorithms function as racializing assemblages, and conclude by suggesting pathways toward alternative futures that reconfigure the sociopolitical relations the platform inherits.     

Chinese parental involvement and class-based inequality in education: the role of social networking sites

ABSTRACT

Based on an ethnographic study, this article presents the class-based disparities of Chinese parents’ usage of WeChat, the dominating social networking mobile application in China, in their educational involvement. We find that middle-class parents are the privileged ones who have exploited the use of WeChat not only as a medium for communication, but more as a mode of influence. Through WeChat, their various forms of capital are channelled to catalyse changes in their children's education. In contrast, working-class parents tend to act as absent participants in using WeChat for their educational involvement. We argue that WeChat has brought forth the consequence of widening the arena for winning or losing at the educational game for parents from different social classes. We call for corrective policies and guidelines on the usage of WeChat and other SNSs technologies in home–school dynamics.     

CONTRIBUTORS

ABSTRACT

The Great Khan's atlas contains also the maps of the promised lands visited in thought but not yet discovered or founded: New Atlantis, Utopia, the City of the Sun, Oceana, Tamoé, New Harmony, New Lanark, Icaria. Kublai asked Marco: ‘You, who go about exploring and who see signs, can you tell me towards which of these futures the favouring winds are driving us?’ —Italo Calvino, I. Invisible Cities. London: Picador 1974     

Deep learning goes to school: toward a relational understanding of AI in education

ABSTRACT

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.     

Educational assessment and accountability: a New Zealand case study

This paper discusses the increasing use of assessment as a market signal and as an index of educational accountability. It is argued that assessment policies in New Zealand reflect an uneasy balance between the interests of the new right and more progressive educationists. These influences are examined using three largely contradictory models of educational accountability (professional, market and management). Each model reflects a range of epistemological and ideological assumptions. Thus student assessment serves different and largely conflicting purposes. The paper uses a recent New Zealand policy document (Tomorrow's Standards) to examine the interaction of each model. It is argued that through a failure to state clearly the purpose of assessment, educational reform in this area is overly concerned with the means rather than the ends of education. This has important implications for student motivation and learning. The paper concludes with a comment on current policy development and concludes that some recent initiatives provide the hope that a system of assessment that is both meaningful and relevant to individual learners may be developed.     

Imaginaries and problematisations: A heuristic lens in the age of artificial intelligence in education

This paper suggests that artificial intelligence in education (AIEd) can be fruitfully analysed as ‘policies frozen in silicon’. This means that they exist as both materialised and proposed problematisations (problem representations with corresponding solutions). As a theoretical and analytical response, this paper puts forward a heuristic lens that can provide insights into how AI technologies (or advocated AI technologies) function as proposed solutions to certain problematisations based on various imaginaries about how education and learning are best performed or supported. The combined reading of imaginaries and problematisations can thereby aid in our understanding of why and how visions of learning and education are framed in relation to AIEd developments. The overall ambition is to advance theoretical and analytical approaches towards an educational system which is (anticipated as) increasingly permeated by AI systems—systems that also support and implement, more or less, invisible models, standards and assessments of learning, as well as more grand visions of (technology-augmented) education in society.

Practitioner notes

What is already known about this topic

• Artificial intelligence in education (AIEd) is repeatedly presented as a solution for a range of educational ‘problems’.
• This means that such ‘solutions’ must also frame certain aspects as ‘problems’.
• Such problems and ‘solutions’ (problematisations) also exist within certain imaginaries of the present times and of the future, where these problematisations are presented as particularly significant and acute, and promoting specific anticipations of learning and ideals of education.

What this paper adds

• An exposition of problematisations in educational settings.
• An exposition of educational imaginaries.
• A heuristic lens for understanding the ‘present’ and ‘future’ in a particular imaginary as entangled in, and dependent on, a certain ‘past’.

Implications for practice and/or policy

• The approach presented in this paper provides a heuristic lens for examining how AI technologies (or advocated AI technologies) function as proposed solutions to problematisations based on imaginaries about how education and learning are best performed or supported.
• This aids our understanding of how and why certain visions of learning and education are framed in relation to AIEd developments (real or imagined).
• It also advances theoretical and analytical approaches towards an educational system, which is (anticipated as) increasingly permeated by AI systems—systems that also support and implement, more or less, invisible models, standards and assessments of learning, as well as more grand visions of (technology-augmented) education in society.

     

Bodies and affect in non-traditional learning spaces

Abstract

This paper considers the ‘knowledge economy’ as it is used in education rhetoric to establish social and educational consent for significant changes both to the spatial organisation of classrooms and their affective economies. We draw on ethnographic data from a study of ‘non-traditional classroom spaces’, where the spatial organisation of schooling emerged as a potential fulcrum through which the imaginary of the conventional primary classroom was being reconceptualised. Traditionally configured classroom spaces and the learning that takes place within them were being challenged and replaced by notions of twenty-first century learning in ‘agile’ learning environments. In the context of this reform agenda, these open-plan spaces were seen as offering new prospects for participation in a globally connected and competitive economic world that requires students to continuously adapt, innovate and respond creatively to a range of different problems. We consider how these everyday moments function as conceptual encounters between affective, embodied experiences and educational reform discourses that rationalise the implementation of non-traditional classroom spaces in ways that have very little to do with children and their futures. This cultural approach takes a step aside from numerous, and necessary, critiques of recent educational policies per se, in order to consider what might be learned from the uncanny spectres of child bodies that haunt them. The paper draws attention to examples of children’s affect in non-traditional classrooms and what that may tell us about current educational reform when sacrifice forms part of the missing account of educational reorganisation for the knowledge economy.     

Objectivity as standardization in data-scientific education policy,technology and governance

ABSTRACT

New data-driven technologies appear to promise a new era of accuracy and objectivity in scientifically-informed educational policy and governance. The data-scientific objectivity sought by education policy, however, is the result of practices of standardization and quantification deployed to settle controversies about the definition and measurement of human qualities by rendering them as categories and numbers. Focusing on the emerging policy agenda of ‘social and emotional learning and skills,’ this paper examines the practices of ‘objectivity-making’ underpinning this new field. Objectivity-making depends on three translations of (1) scientific expertise into standardized and enumerable definitions, (2) standardization into measurement technologies, and (3) the data produced through measurement technologies into objective policy-relevant knowledge, which consolidates a market in SEL technologies. The paper sheds light on knowledge-making practices in the era of big data and policy science, and their enduring reliance on the precarious construction of objectivity as a key legitimator of policy-relevant scientific knowledge and ‘evidence-based’ education governance.     

Use of national parks for outdoor environmental education: An Australian case study

Abstract

The need for environmental education through outdoor education experiences is becoming increasingly evident in outdoor education theory and practice. In Australia, this environmental focus is reflected in recent outdoor education curriculum documents, particularly in the Victorian Certificate of Education (VCE). For many outdoor education teachers who do not have expertise in environmental education, this curriculum development presents a challenge. Outdoor education teachers frequently use National Parks to help them address this challenge.

The study examined the educational objectives and roles of teachers and park staff involved in environmental education through outdoor education in National Parks in Victoria, Australia. This paper discusses findings related to the teachers' educational objectives and roles while those of the park staff are examined in a separate paper. The findings indicate that the teachers often lack the environmental knowledge and skills needed to teach some aspects of the curriculum thus making the role of the park ranger or education officer particularly significant in educating teachers as well as students. Issues are raised about the training of outdoor education teachers and of park rangers to meet the environmental education needs of outdoor education students. Questions are also raised about the appropriateness of using National Parks for outdoor education purposes.     

Machine behaviourism: future visions of ‘learnification’ and ‘datafication’ across humans and digital technologies

ABSTRACT

This paper examines visions of ‘learning’ across humans and machines in a near-future of intensive data analytics. Building upon the concept of ‘learnification’, practices of ‘learning’ in emerging big data-driven environments are discussed in two significant ways: the training of machines, and the nudging of human decisions through digital choice architectures. Firstly, ‘machine learning’ is discussed as an important example of how data-driven technologies are beginning to influence educational activity, both through sophisticated technical expertise and a grounding in behavioural psychology. Secondly, we explore how educational software design informed by behavioural economics is increasingly intended to frame learner choices to influence and ‘nudge’ decisions towards optimal outcomes. Through the growing influence of ‘data science’ on education, behaviourist psychology is increasingly and powerfully invested in future educational practices. Finally, it is argued that future education may tend toward very specific forms of behavioural governance – a ‘machine behaviourism’ – entailing combinations of radical behaviourist theories and machine learning systems, that appear to work against notions of student autonomy and participation, seeking to intervene in educational conduct and shaping learner behaviour towards predefined aims.     

Staff appraisal: Lessons from United Kingdom industry?

Abstract

This paper examines staff appraisal and development in industrial and commercial organizations in the United Kingdom and discusses the extent to which the educational system can learn from them.

The appraisal and development programmes in three large organizations in the East Midlands region of England are reviewed and the extent to which the sort of models found in business might be applied to education is considered.

It is argued that industrial/commercial models of staff appraisal can be applied effectively in the educational context as long as they are tied in with the staff development process. A tenative list of recommendations felt to be applicable to the introduction of appraisal in education, and particularly further education, is provided.     

Students positioned as global citizens in Australian and New Zealand universities: A discourse analysis

ABSTRACT

Higher education plays a critical role in producing society’s leaders by preparing graduates with the knowledge, capabilities and disposition to appreciate diversity and address social injustice. Many higher education institutions within and beyond Australia have aimed to internationalise their curricula to ensure students achieve capabilities that enable them to contribute to an evolving global knowledge economy. However, the inclusion of global citizenship as a graduate attribute embedded in internationalised curricula, and the processes to achieving this, are highly contested. Guided by a discourse analysis approach, this study explored how Australian and New Zealand universities position students as global citizens in public web pages. Publicly available policy and other text documents on university websites relating to internationalisation and/or global citizenship were collected and screened. Those that met inclusion criteria were analysed to identify discourses and to further understand how higher education institutions describe their plan to advance and achieve global citizenship agendas. Two key themes were generated: expressions of internationalisation policy and global citizenship as an obscured educational intention. These findings are further elaborated, providing an outline of the possible implications for higher education policy and practice relating to the internationalisation of curriculum for global citizenship and its potential impact on educators and students.     

Markets and the English: rethinking educational restructuring as institutional design

This paper analyses the concerns, parameters and silences emerging in the field of English research on contemporary educational restructuring. The research effort oriented to the investigation of Thatcherism and the marketisation of education is documented. Its strong emphasis on markets and processes of marketisation and its neglect of alternatives to Thatcherism is noted. This pattern of emphases and silences in research seems to have arisen as a result of changes in the research‐policy context, and because of the way Thatcherism has been conceptualised in educational research. I argue that these developments have encouraged a narrowing of both research and political horizons in education. I suggest that a more comprehensive framework for analysing educational restructuring can be developed by recontextualising Thatcherism and drawing on recent social science research on institutional design. Such a framework would appear to offer a basis for tackling the empirical and normative work of assessing probable futures and the possibilities of preferred futures in the practical work of education reform.