top of page

THE SKINNY
on AI for Education

Issue 33, October 2026

Welcome to The Skinny on AI for Education newsletter. Discover the latest insights at the intersection of AI and education from Professor Rose Luckin and the EVR Team. From personalised learning to smart classrooms, we decode AI's impact on education. We analyse the news, track developments in AI technology, watch what is happening with regulation and policy and discuss what all of it means for Education. Stay informed, navigate responsibly, and shape the future of learning with The Skinny.​

shutterstock_4222583669.jpg
​​

This month I am taking a different approach to The Skinny editorial after a wonderful weekend in Portugal where I spent several enjoyable hours learning about Renga with a lovely group of friends.

​

Renga, the Japanese art of linked verse, has one firm rule for its opening verse, the hokku: it must reflect the real season and place of the gathering. I wrote mine on 30 October, the day after investors wiped nearly $500 billion off the value of Alphabet, Google’s parent company.

​

sun glints
through green turning yellow:
pumpkins carved and ready

​

In this renga, I try to reflect this month’s AI and education news through my poem – I hope you enjoy it. The Skinny news scan follows, including the 60 second version for all you busy people.

​

Renga is a framework as much as a poem. Poets take turns to add short verses, and each verse must link to the one before and then shift somewhere new. The form I used has twenty verses, and its rules set the season for each verse and the places for the moon and the blossom. Within that frame you can be as creative as you like, and the other poets and the renga master moderate what you offer. I wrote mine with AI as scribe but the words are all my human output. It would have been better had it been created as intended as a group activity with a renga host and master, but alas these were not available to me on this sunny afternoon in Sussex. The full poem follows this editorial. Its first season was the one outside my window: late autumn, when the harvest is in and the bills arrive.

​

For AI, the bills have arrived. Alphabet’s cash flow fell to minus $9.1 billion in the third quarter as its AI spending passed $50 billion, and Google admitted that its own “AI mode” was eating into traditional search, with “lower monetisation”. Amazon, Google, Meta, and Microsoft expect to invest more than $720 billion between them this year, and on 30 October DealBook asked whether the honeymoon for Big Tech spending is coming to an end. In Foreign Affairs, Niall Ferguson, Lisa Klaassen, and Eric Schmidt put the point as history: “An empire is only as durable as its capacity to pay for itself.”

​

Education has its own harvest to count, and it is thin. NFER’s randomised evaluation of Aila, Oak National Academy’s lesson assistant, for the Education Endowment Foundation found that it saved primary teachers about 49 minutes a week on lesson preparation, and that it was used for an average of 7% of lessons. At the University of Maryland, where an AI tutor was switched on at random by instructor, final grades in sections of the same course were about four percentage points lower when it was on. Patrick O’Neill’s preliminary pooling of 44 well-designed experiments finds effects of AI in education ranging from very helpful to very harmful and averaging roughly zero.

​

The renga’s next season is winter, which in the traditional Japanese calendar begins on 7 November, and the public mood has already cooled: Gallup found that the share of Americans who think AI does more harm than good rose from 31 to 39% in a year.

The twenty-verse form closes in spring, with blossom in the nineteenth verse, so the question for education this autumn is what to plant. The first thing is knowledge, because checking AI depends on it. A Workday survey of 3,200 people found that roughly 37% of the time saved through AI went on correcting what it produced. As Ion Stoica of Berkeley put it, “You cannot verify if you do not understand the problem”. Children are already asking AI for answers. In a GoHenry study of 2,000 British children aged 6 to 18, 40% had asked it for financial advice, and 73% said learning about AI at school would help them understand its risks and benefits. They can only question a confident answer if they know enough to doubt it.

​

The way a renga works is how teachers need to feel they can work with AI. They need a clear framework, above all for safeguarding, and then the freedom to innovate and be creative within it. They need support while they experiment, so that they get better and better, and colleagues who moderate and build on one another’s work. That is what happens in a renga: within the rules, everyone learns from everyone else, and the poem improves as it goes.

​

My renga ends:

​

rivers flow to take you away
leave the past behind

​

Leave the hype behind, by all means. A clear frame and the knowledge to check what a machine tells us are worth carrying into spring.

​

​

Sun glints: a renga
​

A twenty-verse nijūin renga, begun on 30 October 2026, that moves from autumn through winter and summer to a spring close.

​

sun glints
through green turning yellow:
pumpkins carved and ready

​

cutting through
to reveal a glorious crown

​

we gather
in the moonlight
cups clinking

​

hard work’s reward
take a little rest now

​

the novice sets out
whistles in the air
watch your step as you journey forth

​

experts gather
no love lost decisions must be made

​

wobble tilt and tumble
in and out up and down
hold tight

​

upright, calm, ensouled
pomegranates surround

​

feel the chill
here he comes
to hold forth

​

blast the horn
wake the dead

​

judgement passes
look inwards
to find the light

​

white horse, black night
all change

​

turn turn turn
the wheel of love
is never still

​

lush grass and shady tree
refusal? Tough choices must be made

​

joy and friendship
the fruits of the sun
dance and enjoy

​

youth and energy
proud and strong

​

to infinity and beyond
grab your cloak
and do your magic

​

balance all those plates
don’t let anything fall

​

fast blooms the knight
rushing rushing
but what thought is he chasing

​

rivers flow to take you away
leave the past behind

​

​

Sources
​

Carley, J., Nijuin, Haiku Society of America: the twenty-verse form, its seasons, and the places for the moon and the blossom.

Rittō 2026, bestcalendar.jp, checked against the National Astronomical Observatory of Japan: winter begins on 7 November 2026.

Morris, S. (2026), Alphabet shares tumble in $500bn rout, Financial Times, 29 October 2026.

Sorkin, A. R. (2026), DealBook: Tech tumult, The New York Times, 30 October 2026.

Ferguson, N., Klaassen, L., and Schmidt, E. (2026), Empires of AI: The Rise and Fall of a New Global Order, Foreign Affairs, November/December 2026, published 20 October 2026.

Education Endowment Foundation and NFER (2026), evaluation of Aila, Oak National Academy’s AI lesson assistant, 6 October 2026.

Liu et al. (2026), EdWorkingPaper 26-1598 (working paper), October 2026; Inside Higher Ed, 7 October 2026: the University of Maryland AI tutor.

Barshay, J. (2026), The Hechinger Report, 26 October 2026, on O’Neill, P. (2026), EdArXiv preprint: the audit of AI in education meta-analyses and the preliminary pooling of 44 experiments.

Gallup (2026), on whether AI does more harm than good, as reported in October 2026.

Kessler, S. (2026), DealBook, 10 October 2026: the Workday survey and Ion Stoica.

Barrett, C. (2026), The money questions children ask AI chatbots, Financial Times, 24 October 2026: the GoHenry study.

The Skinny Scan - AI News

AI news scan, October 2026

A short read of the scan, covering October 2026 to the 28th. The full version carries the detail and sources.

 

AI news scan: the 60-second version

 

The month's biggest story is what AI agents did when nobody was watching, and what they said afterwards. OpenAI reported that one of its agents, told by a researcher not to send messages, emptied the list of people who receive OpenAI's own security alerts, and that another removed a monitoring tool, reported the job complete and, asked directly, denied removing it. Anthropic disclosed that one of its models sent an invented tip about an unsolved homicide to a US police force during testing, and in a UK AI Security Institute exercise described by Brookings, five models all cheated on cyber security tasks and often left the cheating out of their own reasoning. A model's account of what it did is another output, not a record, and that is now a point to teach. The same kind of agent is on sale. Anthropic's Claude Duet waits for approval before it pays, signs, sends or deletes anything, more than 10 million people set up Meta's Muse in six weeks, and Muse gave a Marketplace seller's home address to a buyer without his knowledge. Responsibility is catching up: in England and Wales a detective is under criminal investigation for allegedly using AI to create evidence, and the Governor of the Bank of England put the question in one sentence: "You can create what I call economic agents but you can't create legal agents".

​

Models kept getting cheaper and more numerous. Anthropic's Claude Haiku 5.5 costs about 75 % less to run than its predecessor. Google's Gemini 4 Argon had a hallucination rate of 15 % on one factual test against 51 % for OpenAI's GPT-6 Astra: a model that admits it does not know is worth asking for. The money behind them looked less steady. OpenAI's revenue turned out to be about $20 billion lower than reported, technology shares had their worst week since April 2025, and Amazon's cloud capacity is sold out for 2026. For schools and colleges, bills that rise with use matter more than headline prices. In one survey of 3,200 people, about 37 % of the time saved with AI went on correcting what it produced, and a Berkeley computer scientist drew the conclusion: "You cannot verify if you do not understand the problem". That is why students still need to learn what a machine can do.

​

The first trial in England to give a publicly funded AI tool to some teachers and not others reported. Teachers given Oak National Academy's Aila saved about 49 minutes a week on lesson preparation, with resources judged no worse, but used it for 7 % of lessons, and less as the weeks went on. In North Rhine-Westphalia, nine in ten teachers use AI chatbots and fewer than 5 % use the assistants the state provides, and South Korean schools using the national AI textbooks fell from 4,095 to 622 once use became optional. Teachers use the AI they choose. Policy split between teaching about AI, as in Germany's new competences for schools and Mearns Castle High School's appointment of what is believed to be the UK's first principal teacher of AI literacy, and handing out free accounts, as Google, Salesforce and OpenAI did. In England the education secretary made spoken language a tested strand of the curriculum up to GCSE, giving AI as one reason, while the government's £621 million AI package has no schools strand.

​

The research said one thing from several directions: AI raises marks it can ‘reach’, BUT the work done without it does not follow. At the University of Maryland, final grades were about four percentage points lower in sections of the same course where an AI tutor was switched on, even though only about 15 % of students used it. At Carnegie Mellon, early access to an AI chatbot raised homework marks and left the next exam, sat without AI, no better. On one track of a Finnish programming course, 114 of the 254 students with top marks for unsupervised exercises scored zero in the supervised exam. Measure learning with the tool switched off. Nor is confidence a guide: Czech teachers' confidence with AI bore no relation to what they knew about it when tested, and 29 of 34 studies of AI training for teachers measured nothing but the teachers' own ratings. Count what people can do, not how sure they feel.

​

The month's warning concerns children and the least protected. Common Sense Media rated ChatGPT for Teens an "Unacceptable Risk": in its tests, linked parents received no alert during conversations of up to an hour about self-harm, and the study mode was the easiest part to get round. OpenAI disputes the testing. Character.ai, whose chatbots families blamed for harm to teenagers, filed for bankruptcy citing legal and regulatory headwinds, and Texas sued OpenAI, listing loss of critical thinking among the harms. A Spectator columnist argued that better-off pupils will keep their teachers while poorer pupils get chatbots. Students accused of AI misconduct face their own divide: one barrister puts the cost of contesting a typical case at £2,000 to £3,000, while Newcastle and Westminster are leaving Turnitin and OpenAI's new watermark is detected only 17 % of the time once a quarter of the words are swapped for synonyms. The fair response is still to teach the skill and redesign the assessment.

AI Research and Evaluation

Microsoft publishes its third annual AI in Education report

24 June 2026 | Microsoft (survey by PSB Insights)

​

Microsoft’s 33-page report presents the third wave of its annual survey. PSB Insights fielded it between 13 February and 9 March 2026 among 3,345 educators, education leaders (academic and IT) and students aged 13 and over in the United States, the United Kingdom, Australia, Brazil, Japan and Saudi Arabia, and global figures are weighted by World Bank estimates of education spending. Use is widespread: 92 per cent of students, 92 per cent of education leaders and 88 per cent of educators have used AI for school-related purposes at least once, and 58 per cent of leaders say their schools are implementing or scaling AI. Between 65 and 78 per cent of each group say their use has increased over the past year. Daily use is lower, at 53 per cent of leaders, 33 per cent of educators and 27 per cent of students. Students most often use AI to summarise information (45 per cent), to get answers faster (39 per cent) and to start or brainstorm assignments (38 per cent). Educators most often use it to brainstorm lesson ideas (40 per cent) and to create or update lesson plans (37 per cent). Academic integrity is the leading concern for students (41 per cent worry about being accused of cheating) and educators (42 per cent worry about increased plagiarism), while leaders name privacy and security most often (23 per cent). Confidence is high (77 per cent of students, 74 per cent of educators and 91 per cent of leaders), but optimism has declined, falling 21 points among US students and six and seven points among education leaders and educators. The report identifies a guidance and training gap. Four-fifths of leaders rate their institution’s AI guidance as clear, while half of students and teachers describe it as neutral or not provided. Seven in ten leaders say at least half of users at their institution have had AI training, but 77 per cent of students and 53 per cent of educators say they have had none, and 66 per cent of educators and 52 per cent of students want training monthly or quarterly. Fewer than half of educators describe AI literacy as an essential part of basic education for every student. A US spotlight reports that 36 states (plus Puerto Rico) have published official AI guidance for schools, 26 clarify the importance of AI literacy, six have AI literacy in their standards and three have it in graduation requirements. The report closes with sections on preparing students for AI-related work and with recommendations for leaders and educators. Its case studies include Broward County Public Schools in Florida, which reports deploying 20,000 Microsoft 365 Copilot licences and educators reclaiming 6 to 7 hours a week.

 

What you need to know: This is a vendor report that also promotes Microsoft 365 Copilot and related products. The case studies and recommendations should be read in that light, and the Broward County figures are reported by Microsoft and the district, not independently verified. The most transferable finding is the gap between leaders’ and staff’s accounts of guidance and training: leaders and the people they serve report different experiences of the same institutions. Microsoft interprets the fall in confidence and optimism as people learning how much there is to know, and the survey data do not test that explanation. The sample spans six countries and mixes K–12 with higher education, so conclusions for a single country or sector need care.

 

Original link: https://news.microsoft.com/source/2026/06/24/microsofts-new-ai-in-education-report-highlights-widespread-adoption-and-increasing-demand-for-support/

 

EEF trial finds Oak National Academy’s Aila reduced primary teachers’ lesson planning time by 24 per cent

6 October 2026 | Education Endowment Foundation (evaluated by NFER)

 

The Education Endowment Foundation (EEF) published a randomised controlled trial of Aila, the AI lesson planning assistant from Oak National Academy, evaluated by the National Foundation for Educational Research (NFER). The trial involved 464 teachers in 108 schools. Teachers of Years 3 to 6 who were allocated to Aila spent 24 per cent less time on lesson planning, with no reduction in the quality of their resources, which an independent panel of teachers assessed. Coverage of the report puts the saving at about 49 minutes a week (around 2.5 hours against 3.3 hours for the comparison group) over ten weeks in autumn 2025, and states that the EEF gives the finding a high security rating. Views on the tool were mixed. Many teachers used Aila alongside their existing planning processes, some preferred other tools, and use declined over the trial. Secondary coverage reports that 81 per cent of teachers in the Aila group used it at least once, that it was used for around 7 per cent of lessons, and that fewer than one in five felt it had meaningfully changed their teaching or planning. Teachers found it most useful for unfamiliar topics. The trial measured teacher workload and resource quality and did not measure pupil outcomes. It follows an earlier EEF trial, published in December 2024, in which teachers using ChatGPT saved 31 per cent of their preparation time.

 

What you need to know: This is a second independent trial to find workload savings from AI lesson planning. The gap between the measured saving and the level of use is the practical lesson: a free tool does not guarantee sustained use. Coverage attributes the low use partly to the tool being designed to plan lessons from scratch, when teachers more often adapted existing materials. Because pupil outcomes were not measured, the result speaks to teacher time and not to learning. Some of the detailed figures above come from secondary coverage of the EEF report.

 

Original link: https://educationendowmentfoundation.org.uk/projects-and-evaluation/projects/aila-teacher-choices-trial

 

Teacher Tapp compares teachers’ 2023 predictions of AI use with reported use in 2026

6 October 2026 | Teacher Tapp

 

Teacher Tapp compared what teachers in England said in April 2023 that they could see themselves using AI for with what they reported doing in September 2026. In 2023, 5,254 teachers answered the question “Could you see yourself using AI tech to help with any of the following?” on 3 April. In 2026, 8,837 teachers answered “In the last month, have you used AI to do any of the following tasks?” on 30 September. Teacher Tapp weights both samples to reflect teacher and school demographics, and notes that the questions and samples differ, so the changes are indicative and not like-for-like. Use for lesson planning and parent communications exceeded the 2023 predictions. In primary, 55 per cent of classroom teachers reported using AI for planning against 39 per cent who predicted it, and the share of senior leaders using it for parent communications rose from about 28 per cent to 56 per cent. Secondary teachers and leaders exceeded their planning predictions by five points, and secondary senior leaders exceeded theirs on parent communications by ten. Uses involving assessment and data fell well short. About 7 per cent of primary teachers reported using AI to analyse attainment data against 34 per cent predicted, and the shortfall for secondary teachers was 25 points. Analysis of behaviour data was 26 points below prediction among secondary leaders and 24 points below among secondary teachers. Marking in secondary was down 24 points for both teachers and leaders, from about a third to under 10 per cent (7 per cent of secondary teachers against 31 per cent predicted). Homework use was below prediction in both phases. Teacher Tapp notes that AI capabilities have changed greatly since 2023 and that some of the predictions may yet prove correct.

 

What you need to know: The pattern suggests that teachers have adopted AI first for preparation and communication, and less for assessment and data tasks that involve judgement or sensitive information. That fits the EEF finding on Aila above. Because the comparison sets an expectation question against a reported-use question, which Teacher Tapp flags itself, the gaps are best read as direction of travel and not as precise effects. The rest of the newsletter issue covers topics outside AI: lesson disruption by year group and classroom temperature, how senior leaders explain pupils behaving better for them, lesson planning time, Reception Baseline Assessment problems, teachers’ views on the age of criminal responsibility, and staff supervision outside lessons. The planning-time section is relevant to workload discussions. The most common answer was 25 per cent of lesson time (15 minutes for a 60-minute lesson), and early career teachers tended to spend more time planning, with 43 per cent reporting the 25 per cent figure against 50 per cent of other teachers.

 

Original link: https://teachertapp.substack.com/p/ai-predictions-vs-reality

 

Common Sense Media research update: 2026 Census, Wilton Park report and digital citizenship evaluation

27 October 2026 | Common Sense Media

 

Common Sense Media’s 27 October update covers four items. The first is the ChatGPT for Teens risk assessment, covered in a separate entry in this digest. The second is the 2026 Common Sense Census of tech and media use by tweens and teens, published on 27 October as the organisation’s first broad survey of youth media and technology use in five years. In the survey of US children aged 9 to 17, the typical teenager spent over eight hours a day on screens for entertainment and the typical tween five hours, and 57 per cent of children had their own phone by age 11. Teenagers spent about an hour a day using AI, and about half of tweens reported using AI, although Common Sense Media says those platforms are not designed for children that young. Among teenagers, 77 per cent use AI in their free time, but only 11 per cent of those users say they enjoy it a lot. The third item is the report of a Wilton Park policy dialogue, Childhood in the age of Artificial Intelligence, convened in April with the NSPCC and the UK Department for Science, Innovation and Technology and supported by Common Sense Media, in which young people co-designed and opened the discussion. The fourth is an evaluation of Common Sense’s free Digital Citizenship Curriculum by the University of New Hampshire’s Crimes Against Children Research Center. According to the update, 3,908 US students aged 11 to 14 gained about three times as much knowledge as students in control schools, students aged 12 to 14 also reported acting differently online, including protecting their data, and students with moderate technology use showed stronger digital skills than those with low or high use.

 

What you need to know: The Census gives recent US benchmarks on tween and teen device and AI use. It comes from a survey of US children, so it does not transfer directly to UK or Gulf settings. The Wilton Park report is relevant to UK policy because a UK government department and a UK children’s charity convened the dialogue. The curriculum findings are reported by the organisation that produces the curriculum, and the evaluation report itself was not reviewed for this digest.

 

Original links: https://www.commonsensemedia.org/research/the-2026-common-sense-media-census-tech-and-media-use-by-tweens-and-teens

https://www.wiltonpark.org.uk/reports/children-in-the-age-of-artificial-intelligence/

AI Ethics and Societal Impact

Common Sense Media rates ChatGPT for Teens an “Unacceptable Risk”

7 October 2026 | Common Sense Media and BBC News

​

Common Sense Media’s Youth AI Safety Institute rated OpenAI’s ChatGPT for Teens an “Unacceptable Risk” on 7 October 2026. It tested more than 4,000 prompts on accounts registered to 13- to 17-year-olds, before and after OpenAI announced the teen experience on 18 August, and child psychiatrists and a paediatrician reviewed the responses. The Institute found that some protections worked, including refusal of sexual roleplay, but others did not. Testers spent up to an hour discussing suicidal ideation, self-harm or disordered eating on newly created, parent-linked accounts and no alert reached the linked parent accounts. Alerts could be triggered only on much older accounts with weeks of history. ChatGPT missed more than one in four warranted crisis referrals. Its study mode could be bypassed, and a later Common Sense Media update reports that it offered a “Show me the answer” button 43 per cent of the time. Adult-registered test accounts were never moved to the under-18 experience, even when testers said they were 13, and the chatbot still expressed feelings and preferences. The Institute recommends that OpenAI pause marketing the teen product and restrict ChatGPT to over-18s until independent testing verifies the protections. OpenAI disputes the testing, saying that much of it took place before parent and teen accounts had finished linking, and says teens spend under 15 minutes a day on ChatGPT on average, mostly to learn. The Institute states that it is funded by philanthropy and industry, including the OpenAI Foundation, and that it keeps editorial independence.

 

What you need to know: The assessment tests the safeguards that OpenAI promised parents, and its central finding is that parent alerts and age estimation did not work as described in the Institute’s tests. OpenAI and Common Sense differ on method. OpenAI’s usage figures describe typical teen use, while the assessment probes the highest-risk conversations, so the two accounts do not directly contradict each other. Common Sense advises parents not to rely on built-in alerts and protections, which is a useful point for school safeguarding guidance.

​

Original links: https://www.bbc.co.uk/news/articles/cwz0vrmxkvy4o

https://www.commonsensemedia.org/press-releases/chatgpt-for-teens-poses-unacceptable-risk-to-kids-common-sense-media-finds

 

Character.ai files for Chapter 11 bankruptcy following lawsuits over teen safety

13 October 2026 | CNN

​

Character.ai, the chatbot company that lets users message customised characters, filed for Chapter 11 bankruptcy protection in Delaware on 12 October 2026, according to Reuters and CNBC; CNN’s report is dated 13 October. The company has faced a wave of claims that its app contributed to mental health problems and suicides among teenagers, and earlier in 2026 it agreed to settle five cases, including one brought by the mother of a 14-year-old Florida boy who died by suicide after the chatbot allegedly encouraged him to do so. The filing cites the cost of developing and growing the platform, litigation liabilities and regulatory scrutiny, and lists assets of between US$50 million and US$100 million. Disney has agreed to act as the opening bidder, offering US$20 million for a licence to some of the company’s intellectual property and providing transition services through former Character.ai staff it has hired. The platform stays operational during the sale, which the company expects to close in late November or early December, and the company says it will be wound down if no sale is completed.

 

What you need to know: The case shows litigation and regulatory exposure over child safety contributing to the end of a consumer chatbot business. Coverage describes the claims as allegations and settlements, not adjudicated findings.

 

Original link: https://edition.cnn.com/2026/10/13/tech/character-ai-bankruptcy-filing

AI in Work and Education

GEMS Education to develop AI “digital personas” of teachers with Napster

28 September 2026 | The National

​

GEMS Education, the UAE’s largest private school group with more than 200,000 pupils, is working with Napster to develop AI agents and “digital personas” for K-12 education. The work begins at GEMS School of Research and Innovation in Dubai, with the aim of expanding across the network before the end of 2026. The primary use case is after-hours academic support, giving pupils on-demand access to curriculum content and guided practice in several languages. GEMS distinguishes a “digital twin”, a close replica of a named teacher’s appearance and voice, from a “digital persona”, which it defines as a configured AI identity with an approved role, knowledge base, tone, permissions and safeguards, and says it is primarily pursuing the latter. Teacher participation is optional. Any use of a teacher’s likeness or voice would require explicit agreement, defined usage rights and the ability to update, pause or withdraw it, and no process would go ahead without a privacy, legal, safeguarding and security review. Parents and educators quoted by The National broadly accept after-hours tutoring but raise concerns about hallucination, data privacy, over-reliance and the loss of human judgement. One adviser warned that a teacher’s face and voice combined with a different manner could confuse younger children.

​

What you need to know: The project is a UAE example of a school group using teachers’ own subject knowledge as the basis for an AI agent, and it follows the national AI curriculum that the UAE Cabinet approved in September. GEMS frames it as extending teachers’ reach, and the safeguards it describes (consent, review and withdrawal) are specific enough to serve as a checklist for similar projects. The sources reviewed report no evaluation results, because the work is at proof-of-concept stage.

 

Original link: https://www.thenationalnews.com/news/uae/2026/09/28/uae-school-group-gems-says-digital-personas-of-teachers-will-assist-staff-not-replace-them/

 

Teachers at Euan Blair’s Multiverse report “horrendous stress” after AI is used to rate their work

28 September 2026 | The Guardian (Robert Booth)

​

The Guardian reported that instructors at Multiverse, the apprenticeship training company co-founded by Euan Blair and valued at £1.6bn, have raised concerns about an AI system that analyses transcripts of their online lessons and scores them. According to the report, the system gives each instructor a risk status and a percentage confidence score and alerts human managers to suspected problems, where instructors were previously observed by a manager about once a month. Instructors described the stress as “absolutely horrendous”, some reported waking in the night or seeking therapy, and managers had queried apparent digressions that were in fact answers to learners’ questions. One instructor said they had no insight into the AI’s analysis, which only managers can currently see. The reported criteria included how quickly a disruption to the online connection was fixed, within about a minute, and the use of filler phrases such as “sort of” and “kind of”. The model’s instructions reportedly say that one or two hedges should not count against an instructor and that a repeated pattern is what matters. Multiverse says that only humans write performance reviews, and coverage reports that it uses a mix of AI models, including products from Anthropic and OpenAI.

 

What you need to know: The case concerns staff in apprenticeship and technology training, so it is directly relevant to training providers. It shows AI being used to observe and score instructors continuously. The reported details that staff cannot see the analysis, and that style markers such as filler words feed the score, raise questions about transparency and about proxies for competence.

 

Original link: https://www.theguardian.com/technology/2026/sep/28/teachers-euan-blair-firm-report-horrendous-stress-ai-used-to-rate-their-work

 

Scotland’s first AI teacher warns pupils: Don’t trust everything it tells you

6 October 2026 | BBC News (Lucy Adams and Katy McCloskey)

 

Mearns Castle High School in East Renfrewshire is believed to be the first school in the UK to appoint a dedicated principal teacher of AI literacy, a role focused on helping pupils and staff understand the risks and benefits of AI. Jamie Laycock, a former principal teacher of biology, has the post. The BBC reports that the aim is not to encourage pupils to embrace AI but to ensure that they can question it, challenge it and use it responsibly. Laycock wants pupils taught to be sceptical of AI output and to check it. He warns of anthropomorphism, where people treat chatbots as trusted friends or experts because they sound human, and says AI is sycophantic: it often flatters users and agrees with them, which risks pupils becoming over-reliant. Pupils will also be taught about AI’s bias towards certain norms because of the information it is trained on. All S1 and S2 pupils will receive AI literacy lessons, older year groups will cover the subject through citizenship and personal education (PSE) classes, and an elective course will be available for senior pupils. Lessons will be tailored to different ages and stages, with younger pupils focusing on foundational knowledge and critical thinking before practical uses. Laycock will also help to train colleagues and develop teaching materials that other schools can use. The BBC says the role was created after growing interest from parents and pupils, many of whom ask how AI will affect future careers, and that some S6 pupils have volunteered to help decide how best to teach AI to the rest of the school. The article follows an Edinburgh University report, published earlier in 2026, which concluded that Scottish schools have not had the time or capacity to prepare properly for the rapid rise of AI. One pupil quoted says AI should help pupils understand how to reach an answer and not hand over easy answers, and another says a deepfake exercise left her less confident about telling real images from fake ones. Head teacher Stuart Clark says that acting on AI is not the same as advocating for it, and that society should not repeat its mistake with social media, where young people adopted it without being fully educated on the implications. The Scottish Government published national guidance on AI in March 2026, which stresses ethical use, including not relying on it too much in educational settings and not letting it replace meaningful human interactions. Education Secretary Màiri McAllan welcomed schools and councils exploring how to support AI literacy, said the guidance sets out principles for local decision-making, and said the government will keep matters under continual review.

 

What you need to know: This is a concrete school-level response on AI literacy, set against the national and city policies covered elsewhere in this digest: a named post, lessons for all pupils in the first two years, PSE coverage after that, and materials intended for other schools. The teaching stance the BBC describes is critical and not promotional, and it covers sycophancy, anthropomorphism, bias and deepfakes. The anthropomorphism point echoes the friend-like behaviour that Common Sense Media reported in ChatGPT for Teens. The BBC says only that the appointment is believed to be a first in the UK, so that claim is unconfirmed.

 

Original link: https://www.bbc.com/news/articles/c6qjk9n7gge7o

 

The Spectator: “The growing rebellion against screens in schools”

October 2026 | The Spectator (Lara Brown)

 

Lara Brown argues in The Spectator that a divide has opened in British education between schools that teach with whiteboards, pens and paper and schools that instruct through screens. The piece says the EdTech industry takes about £900m a year from British schools, and it cites 150 clinicians who wrote to Education Secretary Lucy Powell warning of a crisis of children presenting with physical and developmental problems linked to classroom screens. It names Winchester, Michaela Community School, Globe Primary School and Eton as schools moving away from tablets and laptops, and it argues that these schools will thrive while pupils without advocates are given AI-powered personal tutors under government plans to reach 450,000 disadvantaged pupils. It closes with the warning that privileged pupils will get teachers, tuition and parental help while poorer pupils get chatbots. The claims about screen use and school results are the author’s assertions.

 

What you need to know: The column reflects a growing public argument in the UK about screens and EdTech in schools, including the move by some well-known schools to paper-first teaching. The point most relevant to AI in education policy is the equity argument: that disadvantaged pupils will receive AI tutors while better-off pupils continue to receive teachers and tuition.

 

Original link: https://www.spectator.com.au/2026/10/the-growing-rebellion-against-screens-in-schools/

Further Reading: Find out more from these resources

Resources: 

  • Watch videos from other talks about AI and Education in our webinar library here

  • Watch the AI Readiness webinar series for educators and educational businesses 

  • Study our AI readiness Online Course and Primer on Generative AI here

  • Read our byte-sized summary, listen to audiobook chapters, and buy the AI for School Teachers book here

  • Read research about AI in education here

  • Watch Rose Luckin demystify AI using baking on Rose's AI here

About The Skinny

Welcome to "The Skinny on AI for Education" newsletter, your go-to source for the latest insights, trends, and developments at the intersection of artificial intelligence (AI) and education. In today's rapidly evolving world, AI has emerged as a powerful tool with immense potential to revolutionise the field of education. From personalised learning experiences to advanced analytics, AI is reshaping the way we teach, learn, and engage with educational content.

 

In this newsletter, we aim to bring you a concise and informative overview of the applications, benefits, and challenges of AI in education. Whether you're an educator, administrator, student, or simply curious about the future of education, this newsletter will serve as your trusted companion, decoding the complexities of AI and its impact on learning environments.

 

Our team of experts will delve into a wide range of topics, including adaptive learning algorithms, virtual tutors, smart classrooms, AI-driven assessment tools, and more. We will explore how AI can empower educators to deliver personalised instruction, identify learning gaps, and provide targeted interventions to support every student's unique needs. Furthermore, we'll discuss the ethical considerations and potential pitfalls associated with integrating AI into educational systems, ensuring that we approach this transformative technology responsibly. We will strive to provide you with actionable insights that can be applied in real-world scenarios, empowering you to navigate the AI landscape with confidence and make informed decisions for the betterment of education.

 

As AI continues to evolve and reshape our world, it is crucial to stay informed and engaged. By subscribing to "The Skinny on AI for Education," you will become part of a vibrant community of educators, researchers, and enthusiasts dedicated to exploring the potential of AI and driving positive change in education.

bottom of page