Education · 9 June 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.
National AI Training Updates
DfE AI training must spark role reinvention not just time-saving
The Department for Education has refreshed its national AI training materials, focusing heavily on safe use. However, experts warn that schools must move beyond basic prompting to fundamentally redesign roles, allowing SENCOs, school business leaders and teachers to focus on high-value human interactions.
Why it matters: UK school leaders should use time saved by AI to restructure staff responsibilities rather than simply doing existing tasks faster.
Read the source on LinkedIn →New national guidance highlights AI risks for SEND and inclusion
The latest DfE national AI training video, developed by Chiltern Learning Trust, explores how AI supports SEND and EAL learners. It warns against using diagnostic labels in prompts, which often generate biased outputs based on statistical norms rather than an individual child's needs.
Why it matters: UK teachers must ensure that learner needs always precede the tool and that high-stakes decisions remain entirely human-led.
Read the source on LinkedIn →DfE resources warn against students treating AI as human confidants
A newly released module in the DfE AI training suite addresses the dangers of anthropomorphising AI. Experts from the University of Cambridge warn that vulnerable pupils forming emotional relationships with chatbots risk manipulation, incorrect mental models and emotional harm.
Why it matters: UK safeguarding leads must educate staff and pupils on the psychological risks of treating conversational AI as human.
Read the source on LinkedIn →AI Governance & Policy
Automation bias challenges the reality of human-in-the-loop marking
School AI policies frequently rely on "human in the loop" reassurance, but research reveals that algorithmic advice heavily distorts teacher judgement. When an AI generates a grade first, it creates an "anchor" that prevents teachers from evaluating student work cleanly.
Why it matters: UK MATs must design assessment policies that ensure teachers form independent judgements before reviewing AI-generated grading suggestions.
Read the source on LinkedIn →China mandates rigorous AI teacher training and bans commercial tools
China has introduced strict new Ministry of Education guidelines for the upcoming school year, banning under-elevens from using commercial AI tools without supervision. Crucially, the policy mandates 120 hours of dedicated AI professional development for computer science teachers before large-scale rollouts.
Why it matters: UK policymakers and trust leaders should take note of this structured, cautious approach to AI integration over rapid adoption.
Read the source on LinkedIn →Stanford University sets clear boundaries for AI in computer science
Stanford's language modelling course has implemented a strict policy allowing AI tools as teaching assistants but banning them for core learning tasks. The rules protect critical cognitive effort by preventing students from using AI as a shortcut for solution generation.
Why it matters: UK secondary schools and colleges should adopt similar policies to protect genuine skill development in STEM subjects.
Read the source on LinkedIn →