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Gender governance and the global grammar of illiberal inclusion

by Ourania Filippakou

Across global higher education, the terms of justice, equality and inclusion are being rewritten. In recent years, the rollback of diversity, equity and inclusion (DEI) initiatives in the United States (Spitalniak, 2025) has unfolded alongside a global resurgence of anti-gender, ultra-nationalist, racialised and colonial politics (Brechenmacher, 2025). At the same time, the rise of authoritarian and far-right ideologies, together with deepening socioeconomic inequalities fuelled by an ascendant billionaire class (Klein and Taylor, 2025) and the growing portrayal of feminist and queer scholarship as ideological extremism (Pitts-Taylor and Wood, 2025), signal a profound shift in the rationalities shaping the politics of higher education. These developments do not reject inclusion; they refashion it. Equality becomes excess, dissent is recast as disorder, and inclusion is reconstituted as a technology of governance.

This conjuncture, what Stuart Hall (Hall in Hall and Massey, 2010, p57) would call the alignment of economic, political and cultural forces, requires a vocabulary capable of capturing continuity and rupture. It also reflects the deepening crisis of neoliberalism, whose governing logics become more coercive as their legitimacy wanes (Beckert, 2025; Menand, 2023). As Hall reminds us, ‘a conjuncture is a period when different social, political, economic and ideological contradictions… or as Althusser said ‘fuse in a ruptural unity’’ (Hall in Hall and Massey, 2012, p57). A conjuncture, in this sense, does not resolve crisis but produces new configurations of ideological coherence and institutional control. In my recent article, ‘Managed Inclusion and the Politics of Erasure: Gender Governance in Higher Education under Neoliberal Authoritarianism’ (Review of Education, Pedagogy & Cultural Studies, 2025), I theorise these developments as a global grammar of illiberal inclusion: a political rationality that appropriates the language of equity while disabling its redistributive, democratic and epistemic force. The article develops a typology of symbolic, technocratic and transformative inclusion to examine how feminist, anti-caste and critical vocabularies are increasingly absorbed into systems of civility, visibility and procedural control. Transformative inclusion, the configuration most aligned with redistribution, dissent and epistemic plurality, is the one most forcefully neutralised.

Across geopolitical contexts, from postcolonial states to liberal democracies, gender inclusion is increasingly appropriated not as a demand for justice but as a mechanism of control. The techniques of co-option vary, yet they consolidate into a shared political rationality in which equity is stripped of redistributive force and redeployed to affirm institutional legitimacy, nationalist virtue and market competitiveness. This is not a rupture with neoliberal governance but its intensification through more disciplinary and exclusionary forms. For example, in India, the National Education Policy 2020 invokes empowerment while enacting epistemic erasure, systematically marginalising the knowledges of women from subordinated caste, class and religious communities (Peerzada et al, 2024; Patil, 2023; Singh, 2023). At the same time, state-led campaigns such as Beti Bachao elevate women’s visibility only within ideals of modesty and nationalist virtue (Chhachhi, 2020). In Hungary, the 2018 ban on gender studies aligned higher education with labour-market imperatives and nationalist agendas (Barát, 2022; Zsubori, 2018). In Turkey, reforms under Erdoğan consolidate patriarchal norms while constraining feminist organising (Zihnioğlu and Kourou, 2025). Here, gender inclusion is tolerated only when it reinforces state agendas and restricts dissent.

Elsewhere, inclusion is recast as ideological deviance. In the United States, the Trump-era rollback of DEI initiatives and reproductive rights has weaponised inclusion as a spectre of radicalism, disproportionately targeting racialised and LGBTQ+ communities (Amnesty International, 2024; Chao-Fong, 2025). In Argentina, Milei abolished the Ministry of Women, describing feminism as fiscally irresponsible (James, 2024). In Italy, Meloni’s government invokes ‘traditional values’ to erode anti-discrimination frameworks (De Giorgi et al, 2023, p.v11i1.6042). In these cases, inclusion is not merely neutralised but actively vilified, its political charge reframed as cultural threat.

Even when inclusion is celebrated, it is tethered to respectability and moral legibility. In France, femonationalist discourses instrumentalise gender equality to legitimise anti-Muslim policy (Farris, 2012; Möser, 2022). In Greece, conservative statecraft reframes inclusion through familialist narratives while dismantling equality infrastructures (Bempeza, 2025). These patterns reflect a longer political repertoire in which authoritarian and ultra-nationalist projects mobilise idealised domestic femininity to naturalise social hierarchies. As historian Diana Garvin (Garvin quoted in Matei, 2025) notes, ‘what fascisms old and new have in common is they tend to look to women to fill in the gaps that the state misses’, with contemporary ‘womanosphere’ influencers in the US reviving fantasies of domestic bliss that obscure intensified gendered precarity (Matei, 2025).

Such gendered constructions coexist with escalating violence. More than 50.000 women and girls were killed by intimate partners or family members in 2024, which means one woman or girl was killed every ten minutes, or 137 every day, according to the latest UNODC and UN Women femicide report (UNODC/UN Women, 2025). This sits within a wider continuum of harm: 83.000 women and girls were intentionally killed last year, and the report finds no sign of real progress. It also highlights a steep rise in digital violence, including harassment, stalking, gendered disinformation and deepfakes, which increasingly spills into offline contexts and contributes to more lethal forms of harm. These global patterns intersect with regional crises. For example, more than 7.000 women were killed in India in gender-related violence in 2022 (NCRB, 2023); eleven women are murdered daily in femicides across Latin America (NU CEPAL, 2024). At the same time, masculinist influencers such as Andrew Tate cultivate transnational publics organised around misogyny (Adams, 2025; Wescott et al, 2024). As UN Secretary-General António Guterres (2025) warns: ‘Instead of mainstreaming equal rights, we are seeing the mainstreaming of misogyny’.

These global pressures reverberate across institutions that have historically positioned themselves as democratic spaces, including universities, which increasingly recast gender equity as a reputational risk or cultural flashpoint rather than a democratic obligation (D’Angelo et al, 2024; McEwen and Narayanaswamy, 2023). Equity becomes an emblem of modernity to be audited, displayed and curated, rather than a demand for justice. Ahmed’s (2012) theorisation of non-performativity is essential here: institutions declare commitments to equality precisely to contain the transformations such commitments would require. In this context, symbolic and technocratic inclusion flourish, while the structural conditions for transformative inclusion continue to narrow.

These shifts reflect broader political and economic formations. Brown (2015) shows how neoliberal reason converts justice claims into performance demands, hollowing out democratic vocabularies. Fraser’s (2017) account of ‘progressive neoliberalism’ illuminates the terrain in which market liberalism coupled with selective diversity politics absorbs emancipatory discourse while preserving inequality. Patnaik (2021) argues that the rise of neofascism is a political necessity for neoliberalism in crisis, as rights are redefined as privileges and inclusion is repurposed to stabilise inequality. In this conjuncture, these tendencies intensify into what Giroux (2018, 2021, 2022a) names ‘neoliberal fascism’, a formation structured by three interlocking fundamentalisms: a market fundamentalism that commodifies all aspects of life, a religious fundamentalism that moralises inequality; and a regime of manufactured ignorance and militarised illiteracy that discredits critical thought and erases historical memory (Giroux 2022b, p48-54).

The United States now offers a further manifestation of this global pattern, illustrating how attacks on DEI can function as a broader assault on higher education. As recent analyses of US politics show, the first and particularly the second Trump administration is actively modelling itself on Viktor Orbán’s illiberal statecraft, centralising executive power, purging public institutions and mobilising ‘family values’ and anti-‘woke’ politics to reshape education and media governance (Giroux, 2017; Smith, 2025; Kauffmann, 2025). The dismantling of DEI under the Trump administration, framed as a defence of merit, free speech and fiscal responsibility (The White House, 2025), marks the beginning of a wider attempt to consolidate political influence over higher education. Executive orders targeting DEI have been followed by lawsuits, funding withdrawals and intensified federal scrutiny, prompting universities such as Michigan, Columbia and Chicago to scale back equality infrastructures, cut programmes and reduce humanities provision (cf Bleiler, 2025; Pickering, Cosgrove and Massel, 2025; Quinn, 2025). These developments do not simply eliminate DEI; they position anti-gender politics as a mechanism of disciplining universities, narrowing intellectual autonomy and extending political control over academic life. They exemplify wider global tendencies in which inclusion becomes a field through which illiberal projects consolidate authority. The assault on DEI is thus not a uniquely American phenomenon but part of a broader authoritarian turn in which inclusion is recoded to stabilise, rather than challenge, existing power.

Understanding gender governance in higher education through this conjunctural lens reveals not merely the erosion of equity but the emergence of a political formation that reconfigures inclusion into an apparatus of civility, visibility and administrative control. These tendencies are not aberrations but expressions of a larger global grammar that binds emancipatory rhetoric to authoritarian-neoliberal governance. The result is not the dilution of equality but its rearrangement as a practice of containment.

The implications for the sector are profound. If inclusion is increasingly reorganised through metrics, decorum and procedural compliance, then reclaiming its democratic potential requires an epistemic and institutional shift. Inclusion needs to be understood not as a reputational asset but as a commitment to justice, redistribution and collective struggle. This means recovering equality as political and pedagogical labour: the work of confronting injustice, protecting dissent and renewing the public imagination. Academic freedom and equality are inseparable: without equality, freedom becomes privilege; without freedom, equality becomes performance.

As Angela Davis (Davis quoted in Gerges, 2023) reminds us: ‘Diversity without structural transformation simply brings those who were previously excluded into a system as racist and misogynist as it was before… There can be no diversity and inclusion without transformation and justice.’ And as Henry Giroux (2025) argues, democracy depends on how societies fight over language, memory and possibility. That struggle now runs through the university itself, shaping its governance, its epistemic life and the courage to imagine more just and democratic possibilities.

Ourania Filippakou is a Professor of Education at Brunel University of London. Her research interrogates the politics of higher education, examining universities as contested spaces where power, inequality, and resistance intersect. Rooted in critical traditions, she explores how higher education can foster social justice, equity, and transformative change.

Paul Temple


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Will US science survive and thrive, or fade away?

by Paul Temple

When Robert Oppenheimer graduated from Harvard in 1925, young American scientists wanting to work with the world’s best researchers crossed the Atlantic as a matter of course. As a theoretical physicist, Oppenheimer’s choice was between Germany, particularly Göttingen and Leipzig, and England, particularly Cambridge. If you’ve seen the movie, you’ll know that Cambridge didn’t work out for him, so in 1926 he went to work with Max Born, one of the leading figures in quantum mechanics, at Göttingen, receiving his doctorate there just a year later. His timing was good: within a few years from the Nazi seizure of power in 1933, attacks on academics, Jewish and otherwise, and then of course the Second World War, had destroyed what was perhaps the world’s most important university system. Let us note that academic structures, depending on relatively small numbers of intellectual leaders, usually able to move elsewhere, are fragile creations.

I used to give a lecture about the role of universities in driving economic development, with particular reference to scientific and technological advances. Part of this lecture covered the role of US universities in supporting national economic progress, starting with the Land Grant Acts (beginning in 1862, in the middle of the Civil War for heaven’s sake!), through which the federal government funded the creation of universities in the new states of the west; going on to examine support for university research in the Second World War, of which the Manhattan Project was only a part; followed by the 1945 report by Vannevar Bush, Science – the endless frontier, which provided the rationale for continued government support for university research. The Cold War was then the context for further large-scale federal funding, not just in science and technology but in social science also, spin-offs from which produced the internet, biotech, Silicon Valley, and a whole range of other advanced industries. So, my lecture concluded, look at what a century-and-a-half of government investment in university-derived knowledge gets you: if not quite a new society, then one changed out of all recognition – and, mostly, for the better.

The currently-ongoing attack by the Trump administration on American universities seems to have overlooked the historical background just sketched out. My “didn’t it work out just fine?” lecture now needs a certain amount of revision: it is almost describing a lost world.

President Trump and his MAGA movement, says Nathan Heller writing in The New Yorker this March, sees American universities as his main enemies in the culture wars on which his political survival depends. Before he became Trump’s Vice-President, JD Vance in a 2021 speech entitled “The Universities are the enemy” set out a plan to “aggressively attack the universities in this country” (New York Times, 3 June 2025). University leaderships seem to have been unprepared for this unprecedented assault, despite ample warning. (A case where Trump and his allies needed to be taken both literally and seriously.) Early 2025 campus pro-Palestinian protests then conveniently handed the Trump administration the casus belli to justify acting against leading universities, further helped by clumsy footwork on the part of university leaderships who seem largely not to have rested their cases on the very high freedom of speech bar set by the First Amendment, meaning that, for example, anti-Semitic speech (naturally, physical attacks would be a different matter) would be lawful under Supreme Court rulings, however much they personally may have deplored it. Instead, university presidents allowed themselves to be presented as apologists for Hamas. (Needless to say, demands that free speech should be protected at all costs does not apply in the Trump/Vance world to speech supporting causes of which they disapprove.)

American universities have never faced a situation remotely like this. As one Harvard law professor quoted in the New Yorker piece remarks, the Trump attacks are about the future of “higher education in the United States, and whether it is going to survive and thrive, or fade away”. If you consider that parallels with Germany in 1933 are far-fetched, please explain why.

SRHE Fellow Dr Paul Temple is Honorary Associate Professor in the Centre for Higher Education Studies, UCL Institute of Education.


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Will GenAI narrow or widen the digital divide in higher education?

by Lei Fang and Xue Zhou

This blog is based on our recent publication: Zhou, X, Fang, L, & Rajaram, K (2025) ‘Exploring the digital divide among students of diverse demographic backgrounds: a survey of UK undergraduates’ Journal of Applied Learning and Teaching, 8(1).

Introduction – the widening digital divide

Our recent study (Zhou et al, 2025) surveyed 595 undergraduate students across the UK to examine the evolving digital divide across all forms of digital technologies. Although higher education is expected to narrow this divide and build students’ digital confidence, our findings revealed the opposite. We found that the gap in digital confidence and skills between widening participation (WP) and non-WP students widened progressively throughout the undergraduate journey. While students reported peak confidence in Year 2, this was followed by a notable decline in Year 3, when the digital divide became most pronounced. This drop coincides with a critical period when students begin applying their digital skills in real-world contexts, such as job applications and final-year projects.

Based on our study (Zhou et al, 2025), while universities offer a wide range of support such as laptop loans, free access to remote systems, extracurricular digital skills training, and targeted funding to WP students, WP students often do not make use of these resources. The core issue lies not in the absence of support, but in its uptake. WP students are often excluded from the peer networks and digital communities where emerging technologies are introduced, shared, and discussed. From a Connectivist perspective (Siemens, 2005), this lack of connection to digital, social, and institutional networks limits their awareness, confidence, and ability to engage meaningfully with available digital tools.

Building on these findings, this blog asks a timely question: as Generative Artificial Intelligence (GenAI) becomes embedded in higher education, will it help bridge this divide or deepen it further?

GenAI may widen the digital divide — without proper strategies

While the digital divide in higher education is already well-documented in relation to general technologies, the emergence of GenAI introduces new risks that may further widen this gap (Cachat-Rosset & Klarsfeld, 2023). This matters because students who are GenAI-literate often experience better academic performance (Sun & Zhou, 2024), making the divide not just about access but also about academic outcomes.

Unlike traditional digital tools, GenAI often demands more advanced infrastructure — including powerful devices, high-speed internet, and in many cases, paid subscriptions to unlock full functionality. WP students, who already face barriers to accessing basic digital infrastructure, are likely to be disproportionately excluded. This divide is not only student-level but also institutional. A few well-funded universities are able to subscribe to GenAI platforms such as ChatGPT, invest in specialised GenAI tools, and secure campus-wide licenses. In contrast, many institutions, particularly those under financial pressure, cannot afford such investments. These disparities risk creating a new cross-sector digital divide, where students’ access to emerging technologies depends not only on their background, but also on the resources of the university they attend.

In addition, the adoption of GenAI currently occurs primarily through informal channels via peers, online communities, or individual experimentation rather than structured teaching (Shailendra et al, 2024). WP students, who may lack access to these digital and social learning networks (Krstić et al, 2021), are therefore less likely to become aware of new GenAI tools, let alone develop the confidence and skills to use them effectively. Even when they do engage with GenAI, students may experience uncertainty, confusion, or fear about using it appropriately especially in the absence of clear guidance around academic integrity, ethical use, or institutional policy. This ambiguity can lead to increased anxiety and stress, contributing to wider concerns around mental health in GenAI learning environments.

Another concern is the risk of impersonal learning environments (Berei & Pusztai, 2022). When GenAI are implemented without inclusive design, the experience can feel detached and isolating, particularly for WP students, who often already feel marginalised. While GenAI tools may streamline administrative and learning processes, they can also weaken the sense of connection and belonging that is essential for student engagement and success.

GenAI can narrow the divide — with the right strategies

Although WP students are often excluded from digital networks, which Connectivism highlights as essential for learning (Goldie, 2016), GenAI, if used thoughtfully, can help reconnect them by offering personalised support, reducing geographic barriers, and expanding access to educational resources.

To achieve this, we propose five key strategies:

  • Invest in infrastructure and access: Universities must ensure that all students have the tools to participate in the AI-enabled classroom including access to devices, core software, and free versions of widely used GenAI platforms. While there is a growing variety of GenAI tools on the market, institutions facing financial pressures must prioritise tools that are both widely used and demonstrably effective. The goal is not to adopt everything, but to ensure that all students have equitable access to the essentials.
  • Rethink training with inclusion in mind: GenAI literacy training must go beyond traditional models. It should reflect Equality, Diversity and Inclusion principles recognising the different starting points students bring and offering flexible, practical formats. Micro-credentials on platforms like LinkedIn Learning or university-branded short courses can provide just-in-time, accessible learning opportunities. These resources are available anytime and from anywhere, enabling students who were previously excluded such as those in rural or under-resourced areas to access learning on their own terms.
  • Build digital communities and peer networks: Social connection is a key enabler of learning (Siemens, 2005). Institutions should foster GenAI learning communities where students can exchange ideas, offer peer support, and normalise experimentation. Mental readiness is just as important as technical skill and being part of a supportive network can reduce anxiety and stigma around GenAI use.
  • Design inclusive GenAI policies and ensure ongoing evaluation: Institutions must establish clear, inclusive policies around GenAI use that balance innovation with ethics (Schofield & Zhang, 2024). These policies should be communicated transparently and reviewed regularly, informed by diverse student feedback and ongoing evaluation of impact.
  • Adopt a human-centred approach to GenAI integration: Following UNESCO’s human-centred approach to AI in education (UNESCO, 2024; 2025), GenAI should be used to enhance, not replace the human elements of teaching and learning. While GenAI can support personalisation and reduce administrative burdens, the presence of academic and pastoral staff remains essential. By freeing staff from routine tasks, GenAI can enable them to focus more fully on this high-impact, relational work, such as mentoring, guidance, and personalised support that WP students often benefit from most.

Conclusion

Generative AI alone will not determine the future of equity in higher education, our actions will. Without intentional, inclusive strategies, GenAI risks amplifying existing digital inequalities, further disadvantaging WP students. However, by proactively addressing access barriers, delivering inclusive and flexible training, building supportive digital communities, embedding ethical policies, and preserving meaningful human interaction, GenAI can become a powerful tool for inclusion. The digital divide doesn’t close itself; institutions must embed equity into every stage of GenAI adoption. The time to act is not once systems are already in place, it is now.

Dr Lei Fang is a Senior Lecturer in Digital Transformation at Queen Mary University of London. Her research interests include AI literacy, digital technology adoption, the application of AI in higher education, and risk management. lei.fang@qmul.ac.uk

Professor Xue Zhou is a Professor in AI in Business Education at the University of Leicester. Her research interests fall in the areas of digital literacy, digital technology adoption, cross-cultural adjustment and online professionalism. xue.zhou@le.ac.uk


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For meta or for worse…

by Paul Temple

Remember the Metaverse? Oh, come on, you must remember it, just think back a year, eighteen months ago, it was everywhere! Mark Zuckerberg’s new big thing, ads everywhere about how it was going to transform, well, everything! I particularly liked the ad showing a school group virtually visiting the Metaverse forum in ancient Rome, which was apparently going to transform their understanding of the classical world. Well, that’s what $36 bn (yes, that’s billion) buys you. Accenture were big fans back then, displaying all the wide-eyed credulity expected of a global consultancy firm when they reported in January 2023 that “Growing consumer and business interest in the Metaverse [is] expected to fuel [a] trillion dollar opportunity for commerce, Accenture finds”.

It was a little difficult, though, to find actual uses of the Metaverse, as opposed to vague speculations about its future benefits, on the Accenture website. True, they’d used it in 2022 to prepare a presentation for Tuvalu for COP27; and they’d created a virtual “Global Collaboration Village” for the 2023 Davos get-together; and we mustn’t overlook the creation of the ChangiVerse, “where visitors can access a range of fun-filled activities and social experiences” while waiting for delayed flights at Singapore’s Changi airport. So all good. Now tell me that I don’t understand global business finance, but I’d still be surprised if these and comparable projects added up to a trillion dollars.

But of course that was then, in the far-off days of 2023. In 2024, we’re now in the thrilling new world of AI, do keep up! Accenture can now see that “AI is accelerating into a mega-trend, transforming industries, companies and the way we live and work…better positioned to reinvent, compete and achieve new levels of performance.” As I recall, this is pretty much what the Metaverse was promising, but never mind. Possible negative effects of AI? Sorry, how do you mean, “negative”?

It’s been often observed that every development in communications and information technology – radio, TV, computers, the internet – has produced assertions that the new technology means that the university as understood hitherto is finished. Amazon is already offering a dozen or so books published in the last six months on the impact of the various forms of AI on education, which, to go by the summaries provided, mostly seem to present it in terms of the good, the bad, and the ugly. I couldn’t spot an “end of the university as we know it” offering, but it has to be along soon.

You’ve probably played around with ChatGPT – perhaps you were one of its 100 million users logging-on within two months of its release – maybe to see how students (or you) might use it. I found it impressive, not least because of its speed, but at the same time rather ordinary: neat B-grade summaries of topics of the kind you might produce after skimming the intro sections of a few standard texts but, honestly, nothing very interesting. Microsoft is starting to include ChatGPT in its Office products; so you might, say, ask it to list the action points from the course committee minutes over the last year, based on the Word files it has access to. In other words, to get it to undertake, quickly and accurately, a task that would be straightforward yet tedious for a person: a nice feature, but hardly transformative. (By the way, have you tried giving ChatGPT some text it produced and asking where it came from? It said to me, in essence, I don’t remember doing this, but I suppose I might have: it had an oddly evasive feel.)

So will AI transform the way teaching and learning works in higher education? A recent paper by Strzelecki (2023) reporting on an empirical study of the use of ChatGPT by Polish university students notes both the potential benefits if it can be carefully integrated into normal teaching methods – creating material tailored to individuals’ learning needs, for example – as well as the obvious ethical problems that will inevitably arise. If students are able to use AI to produce work which they pass off as their own, it seems to me that that is an indictment of under-resourced, poorly-managed higher education which doesn’t allow a proper engagement between teachers and students, rather than a criticism of AI as such. Plagiarism in work that I marked really annoyed me, because the student was taking the course team for fools, assuming our knowledge of the topic was as limited as theirs. (OK, there may have been some very sophisticated plagiarism which I missed, but I doubt it: a sophisticated plagiarist is usually a contradiction in terms.)

The 2024 Consumer Electronics Show (CES), held in Las Vegas in January 2024, was all about AI. Last year it was all about the Metaverse; this year, although the Metaverse got a mention, it seemed to rank in terms of interest well below the AI-enabled cat flap on display – it stops puss coming in if it’s got a mouse in its jaws – which I’m guessing cost rather less than $36bn to develop. I’ve put my name down for one.

Dr Paul Temple is Honorary Associate Professor in the Centre for Higher Education Studies, UCL Institute of Education.


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Mapping financial investment flows in digital higher education: a focus on data-rich operations

by Janja Komljenovic

This blog is based on a presentation to the 2021 SRHE Research Conference, as part of a Symposium on Universities and Unicorns: Building Digital Assets in the Higher Education Industry organised by the project’s principal investigator, Janja Komljenovic (Lancaster). The support of the Economic and Social Research Council (ESRC) is gratefully acknowledged. The project introduces new ways to think about and examine the digitalising of the higher education sector. It investigates new forms of value creation and suggests that value in the sector increasingly lies in the creation of digital assets.

Universities worldwide are increasingly interested in digital technologies and how they can support higher education. A recent study by the European University Association found that most European universities are already using or planning to use data-rich products and services, such as artificial intelligence, machine learning, learning analytics, big data, and the internet of things (see Figure 18 on page 36). Indeed, it is precisely these data-rich operations that are central to the idea of the disruptive potential of education technology (edtech), as argued by my colleague, Javier Mármol Queraltó, in the recent UU project report. The discourse of investors and edtech companies promises thoroughly improved higher education based on personalisation, automation and efficiency. But how deliverable are these promises? Who innovates in the space of data-rich operations, for which services and for which users? Who profits? These are some of the questions we address in the Universities and Unicorns project, which aims to understand forms of value and ways of creating it in digital higher education. In this blog post, I will address three possible trends that can be identified from the interim findings of our quantitative analysis. But before proceeding to discuss these trends, I will contextualise our analysis.

We used Crunchbase to build three databases covering 2,012 edtech companies, 1,120 investors in edtech, and 1,962 edtech investment deals. We identified those relevant to the higher education sector, and our data reflects the state of the sector as of July 2021. Based on this analysis, we identified four key service models in the higher education edtech industry. First, the business to business (B2B) model includes digital platforms serving universities and companies, such as virtual learning environments. Second, the business to customer (B2C) model includes platforms targeting individuals directly. Third, the business to business to customer (B2B2C) model serves institutions that use or further develop the platform to reach individuals, such as Massive Open Online Courses (MOOC) or Online Programme Management platforms (OPM). Finally, the business to the customer to customer (B2C2C) model includes platforms that connect individuals, such as skills and knowledge sharing platforms. B2B2C and B2C2C platforms, in particular, act as the kind of infrastructural intermediaries that are so popular in other sectors of our social and economic lives.

Our analysis found that half of all investment went into B2B platforms, followed by investment into B2C, while B2C2C and B2B2C together received just under a quarter of all investment. However, platforms with the fastest pace of increasing investment are those targeting individuals directly or through intermediation, ie B2C and B2C2C models. This might indicate emerging parallel or alternative higher education products and services that compete with traditional university provision, especially in the context of lifelong learning.

Digital platforms that say they incorporate data-rich operations in their products and services are not the priority area for investors. While we noticed an increasing investment in data-rich platforms, it was still only less than a quarter of all investment going into innovating such products. Nevertheless, we identified three possible trends that are especially worthy of our attention: (1) data-rich operations are being innovated largely in B2B platforms; (2) there is notable unevenness in terms of the location of edtech companies and investments in those platforms who innovate in data-rich operations; and (3) there might be potential for monopolies in data-rich innovation. Let’s delve into each of these possible trends.

Almost all investment in the companies developing data-rich operations in their platforms went to the B2B service model. Looking only at higher education institutions as the target customer, already half of the investment supports data-rich innovation. Most of that went into platforms that act as the institutional digital backbone, indicating that the intention might be to support all institutional functions beyond teaching with data-rich operations, such as artificial intelligence, machine learning and various kinds of analytics beyond learning analytics. There seems to be a trend towards data-rich digital ecosystems at universities that harvest all user and other data in the near future.

There is high unevenness in where the investment in data-rich platforms is allocated. Regarding the number of companies, 239 in our database declare that they offer data-rich operations on their platforms. Almost half of those (101) are based in the USA, 21 in the UK and 19 in India. Companies based in Africa are entirely missing from the list. In terms of investment amounts, 88% of all investment in companies offering data-rich services in their platforms went into companies based in the USA, 3% each to those based in Norway and the UK, and 6% to the rest of the world. The discrepancy between the number of companies and investment size indicates that investment amounts are higher in the USA than elsewhere in the world.

Finally, if we compare different indicators of investment in companies that innovate data-rich solutions for higher education institutions, we notice interesting dynamics. Looking at the money raised, half of B2B investment went into those companies with a platform that included data-rich operations. But this is only 30% of deals and 25% of companies. This indicates that the concentration of investment in data-rich operation platforms for higher education institutions goes into a smaller number of companies who get higher investments. We wonder if this signals potential for monopolies in the future. Moreover, if we compare granted patents, we notice that a higher percentage of companies offering data-rich solution platforms own patents (30%) versus those offering other kinds of service or product platforms (10%). Digital platforms are typically still protected by a licence, but that differs from a more restrictive patent protection. We wonder if such discrepancy in patent share might indicate black-boxing of data-rich operations in higher education?

Our research on digitalising higher education is showing the complex impact of digital technology and datafication on the sector. This impact includes potential positive and supportive measures, but also many potentially worrying trends. However, further research is needed into these trends and the role of different actors, particularly financial investors and edtech companies. Please follow our project in which we will share the findings from this further work as it unfolds.

Janja Komljenovic is a Senior Lecturer and co-Director of the Higher Education Research and Evaluation at Lancaster University in the UK. She is also a Research Management Committee member of the Global Centre for Higher Education with headquarters at the University of Oxford. Janja’s research focuses on the political economy of knowledge production and higher education markets. She is especially interested in the relationship between the digital economy and the higher education sector; and in digitalisation, datafication and platformisation of knowledge production and dissemination. Janja is published internationally on higher education policy, markets and education technology.


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The Digital Tutor: Digital Tools, Relationships and Pastoral Support in Higher Education

by Jodie Pinnell and Sukhbinder Hamilton

If navigating higher education in recent times has taught us anything, it is that digital technology for teaching and learning is no longer an ‘option’ but imperative for an accessible and inclusive learning environment. With the sudden response to Covid-19 leading to remote online approaches overnight, some professionals in higher education have been thrust into a new digital world, and in survival mode, this has naturally prioritised its potential for pedagogy. Unsurprisingly, research has investigated digital technology and pedagogy thoroughly (Williams, 2012), but outside of the remit of formal counselling (Situmorang, 2020) and distance learning (Hilliam and Williams, 2019), the potential for digital tools for pastoral support has yet to be thoroughly explored. This gap in research prompted us to see how digital tools can benefit personal tutors, and more importantly, how these tools can aid relationships, in a climate where students and academic staff find themselves more disconnected than ever before.

Working in the capacity as senior lecturers, predominantly for undergraduate Childhood Studies programmes, the ‘digital awakening’ brought about by Covid-19 has been a welcome development in our practice. For us, it has paved the way for new approaches, new thinking and ultimately innovations in all areas to support students. Even before the unexpected impacts of Covid-19, we had identified a gap in our personal tutor practice at level 4, a crucial time for students to feel supported as they settle into the first year of their undergraduate degrees. For context, within a study skills module, students are allocated a designated academic ‘personal tutor’ to address academic and personal matters. Whilst this module design has historically allowed for a holistic approach to study skills and pastoral support, it has relied on students being confident enough to approach their personal tutors to articulate needs, something that many were often reluctant to do independently.

The nature of the personal tutor and tutee relationship within higher education is one conducted in a climate which is growing ever more ‘consumerist’ in nature; with inflated expectations for ‘value for money,’ and rhetoric defining students as customers (Modell, 2005). With increasing student numbers (Yale, 2019), it is notable that more and more students are demonstrating wellbeing issues (Universities UK, 2020). The personal tutor is the first point of contact for students to discuss concerns, and with a focus on emotional wellbeing through individualised support, the personal tutor role can be increasingly compared to that of a counsellor (Jorda, 2013). A supportive relationship with a personal tutor in the first year of a degree can prepare students for more challenging times (Brinkworth et al, 2009), and in managing transitions, provides a familiar face and a door to knock on. Giving ownership to the student to share information with their tutor is needed, especially where personal or sensitive issues need to be discussed, and the student signposted to necessary services is required.

Despite this, it has been found that students can struggle to understand the role of their personal tutor (Ghenghesh, 2018, p 571), and with diverse student needs, tutors are pressured to help at all costs, with support not appropriately suited to the confinement of ‘office hours’ (Jorda, 2013, p 2595). Other challenges span a general lack of effective tutor training or the ability to meet increasingly complex student needs (Lochtie et al, 2018). With growing workloads, academics already have a plethora of ‘hats’ to wear (Knight, 2002), with competing demands in other areas, causing a conflict for a role that cannot necessarily be time bound.

Within this consumerist culture, and with a focus on the personal tutor role (and its challenges), we decided to do something different. A Google form asking pastoral questions was forwarded to first year students at the start of the academic year, giving them the opportunity to provide a written background about themselves. Without knowing this would prompt a research project and prove to be valuable, the form aimed to ‘break the ice’ between tutor and student, to remedy reports that some students struggled to open up. Without an opportunity for students to discuss their needs, the correct support is difficult to provide. The form’s questions included; How are you currently feeling about enrolling at the university? What are your hopes and fears regarding university life, and the course? What do you expect from the tutors? And importantly (and most effectively) the request to ‘Finish this sentence… I wish my tutor knew…’ (Schwartz, 2016). All answers were collated in a spreadsheet, and tutors were able to find their tutees’ answers through a search function. The aim of the forms was to give personal tutors an insight into the student’s world without requiring them to initiate conversations in a ‘cold’ meeting with a stranger, ‘fast-tracking’ a relationship between personal tutors and their tutees. The form was completely optional and formed the basis of the first tutorial meeting between tutors and students, giving some background, but ultimately allowing students to outline issues that they may struggle to articulate in the first instance.

Following the success of this approach, a second form was issued at the end of the year, with questions about the effectiveness of using the initial form. Both ethical clearance and student consent were sought to publish the findings. All responses from the students who agreed to participate were collated in one single document, and with rich findings two papers emerged, one focusing on the role of the tutor, and the other on the impact of Covid-19, but with threads of student wellbeing and a sense of belonging running through both.

It’s safe to say that the findings have made a real impact on our practice. Firstly, the value of the forms for relationship development were clear, with snapshots illustrating that it allowed students to reflect on how they are feeling and to raise any concerns they had. Linked to wellbeing, the approach meant that students could discuss mental health issues and their home life situations, without needing to ‘physically disclose something to a stranger.’ Linked to expectations surrounding the personal tutor role, it was clear that students saw their tutors as the first person they felt ‘comfortable’ with, and they expected them to learn about their names and backgrounds. Qualities of a tutor were clearly identified as ‘respect,’ ‘empathy’ and ‘trustworthiness,’ and at level 4, this was largely characterised by the transitions associated with first year study. Anxiety, relief, wellbeing and the impact of Covid-19 were threaded through these findings, leading back to the role of the tutor primarily for support.

So, what’s next? For practice, the continued use of the digital forms will remain an integral part of our pastoral strategy but rolled out across other year groups also. The value of the personal tutor role needs to be reiterated across the team and plans are afoot to provide in-house training. This is not just a useful step to take within our establishment but should be the case for higher education in general as it is imperative for successfully supporting students as a first point of contact. Further research is needed in the area of digital tools for pastoral care and their potential for fast-tracking relationship development and ‘breaking the ice.’ Working towards the goal of creating an inclusive learning environment starts with relationships, and with the rise in remote working, we can rely on digital tools to help, harnessing their perceived unlimited potential to enhance the student experience.

Jodie Pinnell is a Senior Lecturer, Course Leader and Senior Tutor in the School of Education and Sociology at the University of Portsmouth. She is a Senior Fellow of the Higher Education Academy UK. Follow Jodie on Twitter @jodieEdu

Dr Sukhbinder Hamilton is a Senior Lecturer in the School of Education and Sociology at the University of Portsmouth. She is a Co-Convenor for ‘The Women’s Workshop Sociological Collective,’ and a Fellow of the Higher Education Academy UK. Follow Sukh on Twitter @sukhhamilton1

References

Brinkworth, R, McCann, B, Matthews, C and Nordström, K (2009) ‘First-Year Expectations and Experiences: Student and Teacher Perspectives’, Higher Education 58 (2) 157–173. https://DOI:10.1007/s10734-008-9188-3  

Ghenghesh, P (2018) ‘Personal Tutoring From the Perspectives of Tutors and Tutees’, Journal of Further and Higher Education, 42 (4), 570-584. DOI: https://10.1080/0309877X.2017.1301409

Hilliam, R and Williams, G (2019) ‘Academic and pastoral teams working in partnership to support distance learning students according to curriculum area’, Higher Education Pedagogies, 4 (1) 32-40 https://doi.org/10.1080/23752696.2019.1606674

Jorda, JM (2013) ‘The Academic Tutoring at University Level: Development and Promotion Methodology Through Project Work’,  Social and Behavioral Sciences 106 (1) 2594- 2601

Knight, P (2002) Being a Teacher in Higher Education  Buckingham: SRHE Open University Press

Lochtie, D, McIntosh, E, Stork, A, and Walker, BW (2018) Effective Personal Tutoring in Higher Education. Critical Publishing

Modell, S (2005) ‘Students as Consumers? An Institutional Field‐Level Analysis of the Construction of Performance Measurement Practices’ Accounting, Auditing & Accountability Journal 18 (4) 537-563 https://doi.org/10.1108/09513570510609351

Schwartz, K (2016) I Wish My Teacher Knew: How One Question Can Change Everything for Our Kids Da Capo Lifelong

Situmorang, D (2020) ‘Online/Cyber Counseling Services in the COVID-19 Outbreak: Are They Really New?’ Journal of Pastoral Care and Counseling 74(3) 166–174

Universities UK (2020) Coronavirus (Covid-19) https://www.universitiesuk.ac.uk/covid19

Williams, J (2012) Technology Education for Teachers BRILL

Yale, AT (2019) ‘The Personal Tutor-Student Relationship: Student Expectations and Experiences of Personal Tutoring in Higher Education’, Journal of Further and Higher Education, 43 (4), 533-544, https://doi.org/10.1080/0309877X.2017.1377164


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In search of the perfect blend – debunking some myths

by Ling Xiao and Lucy Gill-Simmen

A blended learning approach has been adopted by most UK universities in response to the Covid pandemic. Institutions and higher education educators have become fully committed to and invested enormous resources in delivering such an approach. This has helped to maintain a high quality education and to some extent, to mitigate the potential dire impact of the pandemic on the students’ learning experience. This approach has no doubt accelerated a reshaping of pedagogic approaches, facilitating deep learning, autonomy, personalised learning and more. With the rapid pace of the UK’s vaccine rollout, and the semi promise by the UK Government that we’ll be back to some kind of normal by the end of June, there is hope for a possible return to campus in September, 2021.  As a result, this now marks a time when we need to reflect on what we have learned from the blended learning approach and figure out what to take forward in designing teaching and learning post-pandemic, be it hybrid or hyflex or both.

The Management Education Research Group (MERG) in the School of Business and Management at Royal Holloway, University of London recently held a symposium on ‘Reflecting on Blended Learning, What’s Next?’. It showcased blended learning examples from various universities across the UK and was followed by a panel discussion where we posed the question: what worked and what didn’t work? We found that some of our previous assumptions were brought into question and a number of myths were debunked.

Myth 1: Pre-Recorded videos should be formal and flawless

Overnight, and without any training, educators took on the role of film creators, film editors and videographers. Spending hours, days, weeks and even months developing lecture recordings from the confines of our home working spaces we were stopping, starting, re-starting, editing out the slightest imperfection. It has to be perfect, right? Not so fast.

For many institutions, recorded video is the primary delivery vehicle for blended learning content, with academics pre-recording short presentations, lectures and informal videos to complement text-based information and communication. Many of us postulated that a formal and meticulous delivery style for pre-recorded videos is required to help to maintain high quality educational materials and for students to perceive us as professionals. Academics’ personal experiences however suggest it is vital to keep the human elements, as students enjoy and engage better with a personalised delivery. A personalised style helps to build relationships with students which then provide foundations of learning. Mayer (2009) describes it as a personalisation principle of learning through video and recommends that a conversation style is preferential to a formal style for learning. This also resonates with recent insights from Harvard Business School Professor, Francesca Gino, who reflects in her webinar on the power of teaching with vulnerability in COVID-19. She explains the importance of being open, honest and transparent with students and sharing one’s own human side in order to strengthen the educator-learner bond.

Myth 2: Students enjoy learning from the comfort of their homes

Blended learning empowers students to become autonomous learners, since they can engage with their courses when real-time contact with lecturers is not possible. However, such autonomy isn’t all it’s cracked up to be, and turns out to be a lonely road for many students. Instead of relishing staying at home and learning when they want, some students declare they miss the structure, the sense of community and the feeling of belonging they associate with attending university in person.

Universities are more than places for learning, they serve as the centre of their communities for students. Students not only learn directly from the education but also, just as much, from interaction and collaboration with lecturers or their fellow classmates. It emerged in conversation between students and faculty that students felt it generally took longer to establish a sense of community in an online class than in a traditional face-to-face classroom but that it could be achieved. So, it’s up to us as educators to foster a sense of community amongst online learners.

Central to learning community is the concept of cooperative learning, which has been shown to promote productivity, expose students to interdisciplinary teams, foster idea generation, and to promote social interaction (Machemer, 2007). One such technique is to introduce collaborative learning opportunities, and those that reach beyond online group work and assessment – which in itself may prove problematic for learners. Instead, educators should look to develop co-creation projects such as wikis or blogs where students can come together to cocreate content together. Social annotation platforms such as Google Docs and Padlet enable students to share knowledge, develop the understanding of learning objects through collaborating on notes, commenting specific parts of materials, etc (Novak et al, 2012; Miller et al, 2018). Padlet for example has proved to be particularly popular with students for collaborative learning given its ease of use.

Myth 3 :  It makes sense to measure student engagement merely by participation metrics

After months of preparation and instructional design and preparing the perfect learning journey for students, we tend to expect students to learn and to engage in a way that we as educators perceive to be optimal for fulfilment of learning outcomes.

We all know that students learn and engage in many different ways, but we often find ourselves trawling the data and metrics to see whether students watched the videos, engaged in the readings we provided, posted on the fora we clearly labelled and participated in the mini quizzes and reflection exercises we created. However, as our hearts sink at what appears to be at times a relatively low uptake, we jump to the conclusion that students aren’t engaging. Here’s the thing:  they are, we just don’t see it. Engagement as a construct is something far more complex and multi-faceted which we can’t necessarily measure using the report logs on the VLE.

Student engagement is often labelled the “holy grail of learning” (Sinatra, Heddy and Lombardi, 2015: 1) since it correlates strongly with educational outcomes, including academic achievement and satisfaction. This can therefore lead to a level of frustration on the part of educators when engagement appears low. However, engagement comes in many forms, and in forms which are often not directly visible and/or measurable. For example, cognitive, behavioural and emotional engagement all have very different indicators which are not immediately apparent. Hence new ways of evaluating of student engagement in the blended learning environment are needed. Halverson and Graham (2019) propose a possible conceptual framework for engagement that includes cognitive and emotional indicators, offering examples of research measuring these engagement indicators in technology mediated learning contexts.

Myth 4: Technology is the make or break for blended learning

The more learning technologies we can add to our learning design, the better, right? Wrong. Some students declared the VLE has too much going on; they couldn’t keep up with all the apps and technologies they are required to work with to achieve their learning.

Although technology clearly plays a key role in the provision of education (Gibson, 2001; Watson, 2001; Gordon, 2014), it is widely acknowledged that technology should not determine but instead complement theories and practices of teaching. The onset of Covid-19 has shifted our focus to technology rather than pedagogy. For example, educators felt an immediate need for breakout room functionality: although this can be a significant function for discussion, this is not necessarily the case for disciplines such as accounting, which requires students continuously to apply techniques in order to excel at applied tasks. Pedagogy should determine technology. The chosen technology must serve a purpose and facilitate the aim of the pedagogy and should not be used as bells and whistles to make the learning environment appear more engaging. In our recent research, we provide empirical evidence for the effective pedagogical employment of Padlet to support learning and engagement (Gill-Simmen, 2021). Technology has an impact on pedagogy but should not be the driver in a blended or hybrid learning environment. Learning technologies are only applicable and of value when the right content is presented in right format and right time.

In summary, we learned these lessons for our future approach to hybrid learning:

  1. Aim for ‘human’ not perfection in instructional design
  2. Students don’t want to learn alone – create opportunities for collaborative learning
  3. Student engagement may not always be measurable – consider tools for assessing emotional, cognitive and behavioural engagement
  4. Technology should support pedagogy, not vice versa – implement only those technologies which facilitate student learning

SRHE member Dr Ling Xiao is the Director of MERG and a Senior Lecturer in Financial Management at Royal Holloway, University of London.  Follow Ling via @DrLingXiao on Twitter.

SRHE member Dr Lucy Gill-Simmen is a Senior Lecturer in Marketing at Royal Holloway, University of London and Program Director for Kaplan, Singapore. Follow Lucy via @lgsimmen on Twitter.

References

Gill-Simmen, L. (2021). Using ‘Padlet’ in Instructional Design to Promote Cognitive Engagement: A Case Study of UG Marketing Students, (In Press) Journal of Learning Development in Higher Education.

Machemer, P.L. (2007). Student perceptions of active learning in a large cross-disciplinary classroom, Active Learning in Higher Education, 8(1): 9-29.

Mayer, R. E. (2009). Multimedia learning Cambridge, England: Cambridge University Press (2nd edn).

Paul Temple


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A stress-test of the physical university

by Paul Temple

The impact of technological change on the continuation of the university as a physical entity, as it has been known in Europe for the last nine hundred or so years, has regularly come up for debate throughout much of the last century. Every development in communications technology – telephone, radio, TV, computers, email, the internet – has led to confident assertions that the days of the university as then understood were numbered. Why should students bother to turn up at a distant university when the teaching on offer there could be delivered readily and cheaply using the new technology of the day? (On the other hand, the transformative communications technologies of the nineteenth century – the railway and the steamship – were turned to advantage by the new University of London when it created its distance-learning operation in 1865.)

A favourite work of mine in this declinist genre is John Daniel’s Mega-Universities and Knowledge Media (1998), where the then-VC of the UK’s Open University confidently predicts that the growth of university student numbers in countries such as China and India will mean that only “mega” virtual universities will be able to cope with national demands. Even the Chinese, Daniel then argued, would not be able to expand physical university capacity at the rate required: to which one can now respond, “Oh yes they could”.

The pandemic lockdown in the UK, which has completely closed university campuses for (at the time of writing) about six months has shown what can be done in terms of online teaching when there’s no alternative. All the university teachers I know have become overnight experts on the use of Zoom and Teams for both undergraduate and postgraduate teaching, for doctoral examinations, and more: exactly the direction in which Daniel thought higher education should move. But I haven’t heard any calls for this to continue indefinitely, and for campuses to be mothballed. My friend Jane, who teaches a large, mainly Chinese, postgraduate group at UCL, tells me that her students say that they would find online learning less appealing if they did not already know their peers and teachers from previous time working on the campus. Without this prior group-building to give the basis for informal peer support, Jane thinks that her learners could easily become isolated and would struggle. Everyone, especially it seems, students, wants to get back to the physical university.

This shouldn’t really be a surprise. I have previously (Temple, 2018) noted the complex relationships between academic work and the physical environments within which it takes place. Just as the current lockdown has led people in all kinds of jobs to re-evaluate their work environments, so the temporary campus closures should have prompted thinking about how university built environments contribute to their outputs. The relationships between people and the built environments in which they live and work is an under-remarked factor in all manner of social and economic activities: Richard Sennett, for example, has over many years investigated these relationships in different settings, most recently in his book Building and Dwelling (2018). The idea that an activity as complex and deeply personal as higher learning can be completely divorced from its physical context seems improbable: Sennett analyses this complexity by using the term cité to represent ideas of belonging and consciousness, and ville to indicate physicality, the dynamics of space, and how elements of the built environment fit together. We might think of online teaching during the lockdown as taking the cité out of the ville: it might work initially, but eventually the ville infrastructure starts to be missed. Although Jane’s students liked the increased availability of recorded material, even live online interactive sessions were not for them adequate substitutes for a seminar room discussion. Other aspects of the physical university will be missing too: studies have shown how students value a working environment shared with other students – a library or study centre – even when they are personally unknown to one another. The enormous popularity of UCL’s new 1100 seat student study centre, in use (pre-Covid) around the clock, is a good example of what Nørgård and Bengtsen have called “the placeful university” (2016) – their way of thinking about the interactions between people and places.

The Covid-19 lockdown has given us a stress-test of university teaching without the campus. Teachers and students have worked hard to make it a success, usually helped – as with Jane’s students – by being part of a learning community with a pre-lockdown history. We need in future to give the ville aspects of university life the credit they deserve.

SRHE member Paul Temple is Honorary Associate Professor, Centre for Higher Education Studies, UCL Institute of Education, University College London. See his latest paper ‘University spaces: Creating cité and place’, London Review of Education, 17 (2): 223–235 at https://doi.org/10.18546

References

Daniel, J (1998) Mega-universities and knowledge media: technology strategies for higher education London: Kogan Page

Nørgård, R and Bengtsen, S (2016) ‘Academic citizenship beyond the campus: a call for the placeful university’. Higher Education Research and Development, 35 (1): 4-16

Sennett, R (2018) Building and Dwelling: Ethics for the City London: Allen Lane

Temple, P (2018) ‘Space, place and institutional effectiveness in higher education’ Policy Reviews in Higher Education 2 (2): 133-150

Paul Temple


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Steering Column

By Paul Temple

The SRHE Blog hasn’t featured a motoring column before – and actually it’s a bit late to start: if you’ve recently bought a new-ish car, it may well be your last one. That’s because the car makers and the big tech companies are betting the farm on driverless (“autonomous”) cars being the future of road travel – not in some “weekend breaks on Mars”-type sci-fi scenario, but in the next couple of years. At the end of February, an autonomous Nissan Leaf drove six miles around East London, including negotiating a roundabout on the A13 that scares me. It’s generally assumed that these cars mostly won’t be owned by individuals, but will be driverless taxis, summoned to your door (at least, in towns). Most new cars are already at or near what the industry calls “Level 3”, with sensors for parking, automatic braking, lane guidance and so on; “Level 4” cars will add all this to artificial intelligence and so do away with the human driver. The computer won’t make the stupid mistakes that all human drivers do – so one effect that’s already been noted will be the “nice to have” problem of a reduction in the number of transplant organs available.

It’s the combination of the scale and the imminence of this revolution that makes it so interesting social scientifically: this won’t be a gradual evolution, but a big bang – one year, cars like we’ve always known them; a year or two later, a transformation. Like an avalanche, unnoticed high up on the mountain, it is about to sweep down. (Look at one of the many blogs on this, such as “Connected Cars”, to get a sense of how fast things are moving.)

Why should this be of interest to higher education researchers? Continue reading →