Education · 6 October 2026

AI in Education

For teachers, school leaders and MATs

At askKira, we provide GDPR-compliant, secure AI built specifically for UK schools. Developed with over 100 education experts and aligned with DfE, Ofsted and EEF guidance, askKira helps teachers, school leaders and MATs work smarter, reduce workload and make data-driven decisions with confidence.

This week's roundup brings you the latest AI developments that matter for UK education.

AI in UK Schools

DfE RISE Grant Case Studies Show AI Reducing Teacher Workload

The Department for Education has published case studies from its Universal RISE grants programme, showcasing how multi-academy trusts trialled practical AI applications to reduce teacher workload and improve operational efficiency. Projects were aligned with Ofsted and EEF guidance to produce an accessible framework supporting inclusive practice, including for pupils with SEND.

Why it matters: These case studies offer UK MATs a rare evidence base of what AI adoption looks like in practice, grounded in national policy rather than vendor marketing.

Read the source on GOV.UK →

AI Performance Monitoring Causes Significant Staff Distress at Multiverse

Instructors at Multiverse, the tech training company co-founded by Euan Blair, have spoken out about an AI system used to monitor and rate their teaching. Staff describe the system as "remorseless" and "unnerving," raising serious questions about the ethical deployment of performance-monitoring AI in education settings.

Why it matters: For UK school leaders and MATs considering AI tools that assess staff performance, this story is a stark warning that implementation without staff consultation risks damaging trust, wellbeing and retention.

Read the source on theguardian.com →

One in Four Secondary Schools Hit by Cyber Attacks, New Data Shows

New figures reveal that a quarter of secondary schools in England have experienced cyber attacks, though recovery times are improving. A separate government report acknowledges a troubling lack of consensus over who within schools and trusts holds responsibility for keeping systems secure.

Why it matters: As AI tools expand the digital footprint of UK schools, cyber resilience must be a governance priority, and MAT boards need to assign clear accountability for data and system security before the next incident occurs.

Read the source on schoolsweek.co.uk →

Pedagogy and Learning

EEF Launches Core Components Project to Understand Why Programmes Work

The Education Endowment Foundation has introduced its Core Components Project, moving beyond the question of "what works" to ask "why" educational programmes succeed. As part of the initiative, the EEF is piloting generative AI to test whether it can identify key programme components with the same accuracy as human researchers.

Why it matters: If AI can reliably analyse programme components at scale, UK schools could eventually access faster, cheaper evidence about which interventions genuinely improve pupil outcomes rather than waiting years for full trials.

Read the source on educationendowmentfoundation.org.uk →

AI and the Broader Purpose of Education

Schools Must Develop Human Skills AI Cannot Replicate, Sector Voices Argue

As AI reshapes classroom practice, voices across the sector are urging schools not to reduce education to employability. Writing in The Tablet, one headmaster argues that character, judgement, relationships and service are at the core of genuine education, qualities that AI cannot replicate and that Catholic educational principles have long championed.

Why it matters: For UK school leaders developing AI strategies, this is a timely reminder to articulate what remains distinctly human in their curriculum offer, particularly when governors, parents and Ofsted scrutinise the purpose behind technology adoption.

Read the source on LinkedIn →

On your radar

AI Performance Monitoring and Staff WellbeingThe Multiverse story makes clear that deploying AI to assess staff without co-design risks formal grievances and reputational damage. Any tool that rates teacher performance should go through your staff consultation process and be reviewed by your HR lead before pilot.
Cyber Responsibility GapsThe government's own data shows schools lack clarity on who owns cyber security. Before the autumn term ends, MAT boards should formally assign a named lead for cyber resilience at trust level and ensure that role appears in the risk register.
RISE Grant EvidenceThe DfE case studies are now publicly available and freely downloadable. Share them with your senior leadership team and governing body as a starting point for evidencing your own AI strategy, particularly if you are applying for future grant funding.
EEF AI Pilots to WatchThe Core Components Project signals the EEF's growing confidence in using generative AI for research at scale. UK schools should monitor this work closely, as findings could reshape how evidence is presented in Ofsted deep dives and school improvement planning within the next two to three years.
Trust-Wide AI GovernanceTES reporting this week highlighted calls from the Queen Street Group of MATs for trust-wide approaches to AI adoption. If your trust still relies on individual schools making their own AI decisions, now is the time to establish a cross-school working group with a consistent acceptable use policy and shared procurement criteria.
Human Skills in the CurriculumWith AI automating more cognitive tasks, Ofsted's focus on curriculum intent and breadth becomes more relevant, not less. Leaders should review whether their curriculum statements explicitly articulate what human development looks like in their school and how AI complements rather than crowds out that offer.
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