Education · 10 March 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.
Policy and Standards
DfE Publishes New Standards For Generative AI In Schools
The Department for Education has released new standards for AI tools used in educational settings. The guidance mandates clear safeguarding flags, direct reporting to Designated Safeguarding Leads and warns against manipulative anthropomorphism in student-facing systems.
Why it matters: MAT leaders must urgently audit their current AI suppliers against these new DfE standards to ensure compliance and robust safeguarding.
Read the source on LinkedIn →Schools Urged To Publish Simple AI Policies Immediately
Experts warn that waiting for a perfect comprehensive AI policy is a mistake given the rapid pace of technological change. Schools are instead advised to publish a one-page guideline outlining basic expectations for staff and students regarding academic integrity and data privacy.
Why it matters: UK school leaders should prioritise publishing a basic acceptable use policy this term rather than leaving staff and students in a regulatory vacuum.
Read the source on LinkedIn →Evidence and Workload
New Review Highlights Flaws In AI Education Evidence
A new preprint meta-review reveals severe methodological issues in studies claiming AI improves learning outcomes. Researchers found extreme publication bias and concluded the current evidence base is insufficiently diagnostic to warrant concrete recommendations for educational practice.
Why it matters: UK educators and the EEF must remain cautious of vendor claims and demand rigorous independent testing before rolling out AI tutoring systems.
Read the source on LinkedIn →AI Saves Teachers Almost Six Hours Per Week
A recent survey reveals that teachers who use AI weekly save an average of 5.9 hours per week on administrative and grading tasks. The data also shows schools with formal AI policies see significantly larger time savings compared to those without.
Why it matters: For UK schools grappling with retention crises, formalising AI use could be a critical lever in reducing teacher workload and meeting DfE wellbeing targets.
Read the source on LinkedIn →Pedagogy and Integrity
Universities Abandon Flawed AI Detection Software
Major institutions are dropping AI detection tools after evidence shows they incorrectly flag genuine human writing up to 20 percent of the time. The software is particularly biased against non-native English speakers, leading students to deliberately write poorly to avoid false accusations.
Why it matters: UK exam boards and JCQ officers must shift focus from unreliable detection software towards redesigning assessments that evaluate the process of learning.
Read the source on LinkedIn →Shift Focus From AI Bans To Process Driven Pedagogy
Educators are being urged to redesign tasks so AI supports student thinking rather than replacing it entirely. By requiring students to submit their initial messy human ideas alongside an explanation of how they used AI to refine their work, teachers can foster genuine comprehension.
Why it matters: UK teachers can maintain academic rigour by assessing a student's critical evaluation of AI outputs rather than just the final polished essay.
Read the source on LinkedIn →Tech Leaders Prioritise Soft Skills Over Coding
Leading figures from major AI companies state they advise their own children to focus on critical thinking, adaptability and empathy rather than computer science. As AI automates technical tasks, human connection and ethical judgement are becoming the most valuable skills.
Why it matters: UK curriculum designers and MAT leaders should double down on humanities and relational teaching rather than pivoting entirely towards tech-centric subjects.
Read the source on LinkedIn →