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Cheating behaviors have been construed as a continuing and somewhat vexing issue for academic institutions as they increasingly conduct educational processes online and impose metrics on instructional evaluation. Research, development, and implementation initiatives on cheating detection have gained new dimensions in the advent of artificial intelligence (AI) applications; they have also engendered special challenges in terms of their social, ethical, and cultural implications. An assortment of commercial cheating-detection systems have been injected into educational contexts with little input on the part of relevant stakeholders. This paper expands several specific cases of how systems for the detection of cheating have recently been implemented in higher education institutions in the US and UK. It investigates how such vehicles as wearable technologies, eye scanning, and keystroke capturing are being used to collect the data used for anti-cheating initiatives, often involving systems that have not gone through rigorous testing and evaluation for their validity and potential educational impacts. The paper discusses accountability- and policy-related issues concerning the outsourcing of cheating detection in institutional settings in the light of these emerging technological practices as well as student resistance against the systems involved. The cheating-detection practices can place students in a disempowered, asymmetrical position that is often at substantial variance with their cultural backgrounds.

The European Higher Education Area (EHEA) is an international initiative for the harmonisation of higher education (HE) systems in 49 countries. Literature about UK's participation in the EHEA is limited, and the role of EHEA's membership for the UK, particularly after the end of the Brexit transitional period, has not been researched. The originality of the study reported in this paper is in addressing this gap by exploring the perspectives of key UK HE actors on the strategic significance of UK's memberships in the EHEA post-2020 for the UK. The paper draws on the theoretical ideas of rational choice neo-institutionalism, differentiated Europeanisation and internationalisation, and a thematic analysis of 19 official communications of key stakeholders and six in-depth interviews with their representatives. The findings contribute to filling in a significant gap in the literature about Bologna in the UK in making a distinction between its two memberships in the EHEA and the differences and complexities of the roles they play in constructing UK's overarching agenda in HE particularly in the post-Brexit context. The article has also contributed to the literature about Bologna more widely, presenting an investigation into differentiated Europeanisation that has been taking place within one unique post-EU country.

In this paper we explore the concept of the middle tier in education systems, outlining how it is a crucial element that links high-level education policy to the practices that are carried out in schools. Reflecting on the similarities and differences in the profiles of the middle tiers of the four nations of the United Kingdom (UK), we observe how they are part of a complex educational ecosystem. While noting that there are variations in the profiles of the middle tiers we also highlight how they share some common functions that are key to mediating the way that policy links with schools. Using a four nations comparative approach to analyse the middle tier allows us a more nuanced understanding of how education policy works in general, but also how policy works in each particular national context.

Purpose: There is limited scholarship on artificial intelligence (AI) in higher education governance, despite the growing prevalence of AI-powered technologies in many fields, including education. However, as the technology is still nascent and has yet to reach its full potential, ideas and arguments abound, championing or cautioning against the use of these technologies. Design/Approach/Methods: To fill this gap in research on policy networks and AI in British higher education, this article employs network ethnography and discourse analysis to study how ideas about AI-powered technologies in higher education circulate in policy networks in the United Kingdom. Findings: The findings evidence a policy network showing signs of a heterarchy permeated by neoliberal rationales and populated by policy actors actively promoting artificial intelligence technologies to be used in education. Originality/Value: This paper builds on existing research by looking at the university and not-for-profit sectors, in addition to the governmental and educational technology sectors. Using network ethnography, this article expands our understanding of the policy actors involved and critically analyzes ideas regarding the use of AI in education.

Teacher education has gathered interest globally and nationally among teachers, educators, researchers and policy makers. Madalinska-Michalak, O 'Doherty and Assuno Flores (2018) observe that regional/ national, social, economic, political and historical factors impact upon teacher education and 'it is also impacted by global problems and tendencies' (pp. 567). This paper builds on these debates and examines the effects of global discourses of teacher education in the national contexts of developed and developing countries, for example, Guyana, Japan, South Africa, United States of America (USA) and the United Kingdom (UK). This includes consideration of teacher education and training before and during the current global COVID-19 pandemic (UNESCO, 2020). The paper concludes that teacher education continues to be under scrutiny due to global and national expectations, the demand of and how they are positioned in preparing teachers for the 21st century. Notwithstanding, as globalisation becomes more integrated in societies globally teacher education curricula not only has to retain its emphasis on standards, but equally its agility to ensure that the needs of all learners are met.

This paper provides an account of the topological and its description of contemporary culture and use as a research methodology, a topological lens, generally, and in education research specifically. Some commentary is proffered on the relationships between the topological and the topographical, between relations and locations. A critical account is then provided on each of the papers in the special issue on the topological in education research and the specific contributions of each. The editors of the special issue make the important point that the topological is a spatio-temporal phenomenon, not just a spatial one. The topological does not exist in time and space, but rather constructs both and they change in a conjoint manner. As such, a topological lens rejects a construction of space as static and of time (and the temporal) as simply linear and chronological. The topological has been facilitated and articulated by and through practices of commensuration, datafication and digitalisation, flows and scapes, global connectivities and new relations, mobilities of various kinds and multiple networks. The paper argues that much greater emphasis has been given to the spatial in topological research; that is, there has been some neglect of the temporal in the spatio-temporal character of topologies.

In the light of the government's recent White Paper, we outline the history of the academisation programme, positioning it as part of the neo-liberal privatisation drive which has been sustained since the 1988 Education Reform Act under governments of all stripes. We contest central claims made for the supposed benefits of academisation, and call for a national campaign to bring all schools and education services under democratic local authority oversight, in line with policy endorsed at the 2019 Labour Party conference.