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AI thrives where education has been devalued

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In 1940, the translator and educator AJ Jenkins organised a survey of the reading habits of working-class children. The study, mostly of students who would leave school to enter the workforce at 14, looked at what they had read outside the school curriculum in the previous month. Jenkins worried that boys, especially, read too little, and then only detective novels or adventure stories. Yet from the perspective of the 21st century, what stands out is the depth of their reading of classic works.

Among the books the children had read in the previous month were The Pilgrim’s Progress, Gulliver’s Travels, Jane Eyre, The Pickwick Papers and The Mill on the Floss. Boys had managed four to six books, girls one or two more than that.



It is a list, and an appetite for reading, that might challenge many today. Surveys suggest that both children and adults read less than they used to, and find less enjoyment doing so. Even university students seem to struggle. The Oxford professor Jonathan Bate claimed last year that where once students could read three books a week, today they toil to complete one in three weeks. Others have suggested that students find it difficult to read whole books – a perception that is echoed on the other side of the Atlantic, too.

Turning universities into businesses has driven many to the brink of bankruptcy

Such claims are often contested, and there is sometimes a whiff of a moral panic. Nevertheless, the contrast with reading habits of a century ago – particularly among workers – is again striking.

“I sat there on my toolbox, half a mile from the surface,” wrote the Nottinghamshire miner GAW Tomlinson in his autobiography Coal-Miner, “one mile from the nearest church, and seemingly hundreds of miles from God, reading The Canterbury Tales, Lamb’s Essays, Darwin’s Origin of Species, Wilde’s The Ballad of Reading Gaol, or anything I could manage to get hold of.”

Once, he was so absorbed in Oliver Goldsmith’s poem The Deserted Village that he allowed tubs full of coal to crash into empties.

Tomlinson was not alone in his obsession with learning. In his classic The Intellectual Life of the British Working Classes, Jonathan Rose unearths the hidden histories of workers from Lanarkshire to south Wales, and their battles to educate themselves, to create their own libraries and colleges and to enter a cultural world denied to them by the fractures of class and schooling.

The pleasure of knowledge transformed, in the words of Cynon Valley miner Robert Morgan, who later became a poet and printmaker, “colliers doing menial and dangerous jobs in the bowels of the earth” into “privileged human beings exposed to something extraordinary”.

That working-class tradition, and the sense of the preciousness of learning that it embodied, may have eroded, but understanding it helps illuminate not just the past but the present, too.

Consider, for instance, the current debate about the impact of AI on habits of reading and thinking. Most university students now use generative AI models, such as ChatGPT, mainly for research. There is, though, increasing concern about the opportunities to cheat – for students to pass off AI-generated text as their own in assignments and essays. Many people worry, too, about the impact on human cognitive skills and on our aptitude for creativity and critical thinking.

As with all powerful new tools, AI has the capacity to both enhance and degrade our lives. It is important for university authorities to think about how to preserve academic integrity, and to rethink how students could be examined. In much of the debate, though, the problem is viewed through the wrong end of the telescope. It is less that AI is the cause of degradation in reading and thinking, and more that the creation of a culture that views knowledge primarily in an instrumental manner has made it easier to misuse AI.

In 1963, the Robbins report into British higher education argued for expansion of universities on the grounds that learning was a good in itself. “The search for truth”, the report insisted, “is an essential function of the institutions of higher education”.

If knowledge is merely a commodity, why not cheat to bypass the need to think?

Half a century later came the Browne report on the funding of higher education, published in 2010. Its tone was very different. “Higher education matters,” it insisted, because it allows students to gain “higher wages and better job satisfaction”, making it “easier to move from one job to the next”, and helping to “produce economic growth”.

The core message, the historian and critic Stefan Collini observed, was that “we should no longer think of higher education as the provision of a public good” but rather as a “regulated market in which consumer demand, in the form of student choice, is sovereign.”

Turning universities into businesses has driven many to the edge of bankruptcy and led them to cut subjects deemed insufficiently “commercial”, including history, music, classics and literature.

Given all this, is it surprising that many look upon AI as a tool not to aid thinking but to replace it? After all, if knowledge is merely a commodity, the purchasing of which allows one to pass an exam or land a job, why should it matter if we cheat or use AI to bypass the need to think?

Until we recognise that the debate about AI is not just about what machines can do but also about how humans should value education and knowledge, it will remain mired in confusion. That is why the stories of people such as Tomlinson and Morgan, and their recognition of the human value of knowledge, remain significant today.

Photograph: James Brittain/View Pictures/Universal Images Group via Getty Images



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Education

Third of UK parents have sought special needs assessment for their child, survey finds | Special educational needs

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One in three parents have sought a special needs assessment for their child, according to a survey that reveals a surge in demand for special needs support in schools across the UK.

The figures were released amid mounting apprehension in England over national plans to reform special needs provision amid rising costs and a severe shortage of dedicated special school places.

The survey of more than 5,800 parents, commissioned by the Parentkind charity and carried out by YouGov, found that 33% of parents with school-age children said they had asked for an assessment for possible special educational needs (SEN) from their child’s school.

In England alone the proportion rose to 34%. Previous Department for Education (DfE) data found that about one in five children were classed as SEN last year, including 482,000 in England with educational, health and care plans (EHCPs) that detail specific support for individual children.

Jason Elsom, Parentkind’s chief executive, said: “Despite the best efforts of our schools, hundreds of thousands of families are hurting because our SEN system is broken.

“Families should not have to wait months or years to receive the support they so desperately need. Our measure as a society should be the way we treat our most vulnerable, and this should weigh heavily on our shoulders.”

Parentkind is the UK’s largest parent-school charity, working with more than 24,000 parent teacher associations and school parent councils.

Half of parents who sought an assessment said it was undertaken by the school and half said that they were still waiting or had paid for a private assessment. A quarter of those waiting said they had been doing so for more than a year.

The survey also laid bare the personal cost that many parents face coping with a child with special needs: 15% said they had given up their job to care for their child, while 20% said they had taken time off from paid work.

A third of parents of children with SEN said they faced “financial strain due to additional costs” and increased tensions at home, while 40% said they had experienced their own mental health problems.

There have been sharp rises in diagnoses of autism, ADHD and speech and language needs among children in recent years, with speech disorders and social and emotional issues increasing rapidly since the Covid pandemic.

The Institute for Fiscal Studies has described England’s increases in special educational needs and disabilities (Send) as “staggering”, reflecting “improved recognition of needs that were always there” through greater awareness and diagnosis.

Bridget Phillipson, the education secretary for England, has said the DfE will publish a white paper outlining its plans for reform later this year. It is expected to expand special needs provision within mainstream schools and encourage the creation of specialist units within them.

But many parents and campaigners fear that the reforms will curtail the use of EHCPs, and a rally took place outside parliament earlier this week.

The DfE said it is “committed to improving inclusivity and expertise in mainstream schools”, but the department faces an uphill struggle with the Treasury for funding for more special school places.

The DfE said: “This government inherited a Send system left on its knees – which is why we are listening closely to parents as we work to improve experiences and outcomes for all children with Send, wherever they are in the country. Our starting point will always be improving support for children.”



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the skills equation for growth

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According to the World Economic Forum’s Future of Jobs report, 39% of existing skill sets will be transformed or become outdated within the next five years. For universities and colleges, that raises a practical question: how do we help learners transition into jobs that are evolving as they study?

Our analysis of labour market data indicates that inefficiencies in career transitions and skills mismatches impose a substantial, recurring cost on the economy. Whether you look at OECD research or UK business surveys, the signal is consistent: better alignment between skills and roles is a national growth lever.

A balanced skills strategy has to do two things at once:

  • Invest in homegrown capability at scale, from supporting educators with a future-facing curriculum to incentivising businesses to invest in skills development.
  • Attract and retain international talent in areas of genuine shortage, so employers can keep delivering while the domestic pipeline grows.

Language sits at the heart of how international talent is realised. English proficiency is not the only determinant of success—qualifications, work experience, employer practices, and student support all matter—but it is a critical enabler of academic attainment and workplace integration.

Accurately understanding what a learner can do with English in real contexts helps institutions place students on the right programs and target support, and it helps employers identify candidates who can contribute from day one. This is not only a UK story. Many international learners return home, where English and job relevant skills increase employability and earning power.

The rise of advanced technology raises opportunities for efficiency, but also makes testing more vulnerable to misuse, so confidence matters more than ever. From our work across the sector, three priorities stand out for assessments:

  • First, trusted results. Pair advanced AI scoring with human oversight and layered security. For higher‑stakes sittings, secure centres add the necessary extra assurance: biometric ID checks, trained invigilators in the room, and multi‑camera coverage.
  • Second, relevance to real academic life. Assess the communication students actually do: follow lectures and seminars, summarise complex spoken content, interpret visuals, and contribute to discussions.
  • Third, fairness. Use CEFR‑aligned scoring that’s independently validated and monitored, so admissions decisions are confident.

Crucially, better measurement is a means, not an end. Used well, it helps inform admissions and placement, so students start in the right place and get in‑sessional support where it will make the biggest difference. And it provides employers and careers services with clearer evidence that graduates can operate in the language demands of specific sectors.

The UK has a window to convert uncertainty into advantage. If we pair investment in homegrown skills with a welcoming, well‑governed approach to international talent—and if we use evidence to match people to courses and jobs more precisely—we can ease the drag of mismatch and accelerate growth. At the centre of that effort is something deceptively simple: the ability to connect in a shared language. When we get that right, opportunities multiply, for learners, for employers and for every region of the country.

The author: James Carmichael, country manager UK and Ireland, Pearson English Language Learning



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Opinion | Global AI war will be won in the key arena of education and training

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In the global race for artificial intelligence (AI), nations rightly chase cutting-edge technologies, big data and data centres heavy with graphics processing units (GPUs). But thought leaders including OpenAI CEO Sam Altman and institutions from the Federation of American Scientists to China’s Ministry of Education are urging investment in educator training and AI literacy for all citizens. They argue for a more human-centred AI strategy.

Having taught AI and data analytics in China, I have seen the payoff: graduates join internet giants, leading electric-vehicle makers and the finance industry.

My case is simple: the country that best educates people to collaborate with AI will lead in productivity, innovation and competitiveness, achieving the highest level of augmented collective intelligence. This reframes the so-called AI war not as a contest of GPUs and algorithms, but as a race to build the most AI-capable human capital. Data and hardware are ammunition; the strategic weapon is AI education.

According to Norwegian Business School professor Vegard Kolbjørnsrud, six principles define how humans and AI can work together in organisations. These principles aren’t just for managers or tech executives; they form a core mindset that should be embedded in any national AI education strategy to improve productivity for professors, teachers and students.

Let’s briefly unpack each principle and how it relates to broader national competitiveness in AI education.

The first is what he calls the addition principle. Organisational intelligence grows when human and digital actors are added effectively. We need to teach citizens to migrate from low-value to higher-level tasks with AI. A nation doesn’t need every citizen to be a machine-learning engineer, but it needs most people to understand how AI augments roles in research and development, healthcare, logistics, manufacturing, finance and creative industries. Thus, governments should democratise AI by investing in platforms that reskill everyone, fast.



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