Teacher workload
Lesson planning, resource adaptation, and administrative drafting that hand hours back each week without lowering the bar.
Sector programmes · Education
AI in education,
adopted with care.
Independent, standards-led support for schools, trusts, colleges, and universities putting AI to work: grounded in DfE guidance and UK data protection law, free of vendor incentives.
— State of play —
The classroom moved
first.
Pupils and students are already using generative AI for homework, revision, and coursework. Many teachers use it to plan lessons and draft feedback. In most institutions, practice is running ahead of policy, and leaders are being asked to set a position at speed.
The Department for Education has set out its expectations for generative AI in schools, Ofsted has published its position on AI, and the JCQ has issued guidance on AI use in assessments. None of it implements itself. Turning national guidance into a working policy, a trained workforce, and defensible day-to-day practice is where most institutions need help.
92%
of UK undergraduates report using AI in their studies
1 in 2
teachers report using AI to help with planning or marking
<1 in 3
schools have a written AI policy in place
— Use cases —
Where AI is already
earning its keep.
The strongest education use cases keep a teacher in the loop and give time back to people, not platforms.
Marking and feedback support
Formative feedback drafted at scale, reviewed and owned by the teacher, so pupils hear back sooner and more often.
Adaptive learning support
Practice, revision, and tutoring support that adjusts to each learner, inside boundaries the institution sets.
Operations and admissions
Timetabling, parent and student communications, and admissions triage handled faster with a clear audit trail.
SEND and accessibility
Differentiated resources, reading support, and communication aids that make provision more consistent, not more generic.
Policy and safe use
Acceptable-use policies, filtering and monitoring alignment, and staff guidance that stand up to safeguarding scrutiny.
— How the Institute helps —
One institute,
three kinds of help.
Advice, engineering, and professional standards from a single independent body, with no software to sell.
Consultancy
Strategy, policy, and governance
Independent advisory for heads, trust executives, and vice-chancellors setting an AI position their governors and regulators can stand behind.
- AI policy and acceptable-use frameworks
- Governor and board briefings
- Readiness assessment and a costed roadmap
Solution design
Working systems, handed over
The Institute's engineering practice designs and builds AI systems around your estate and your safeguarding obligations, then hands them to your team.
- Workload and feedback support tools
- Deployment on your existing systems
- Knowledge transfer to your own staff
Professional body
Standards, training, and research
As the UK's professional body for AI, the Institute trains and accredits staff, publishes research, and maintains the UK AI Readiness Charter.
- Staff training and accreditation pathways
- The UK AI Readiness Charter, free to sign
- Published research and sector guidance
— Sector considerations —
What we watch
most closely.
01
Safeguarding
Children's data comes first
Most AI tools were not built with minors in mind. Deployments have to satisfy Keeping Children Safe in Education, UK GDPR, and the ICO's age-appropriate design code before they reach a classroom.
100%
of deployments DPIA-assessed first
02
Integrity
Assessment must stay valid
Coursework and assessment must hold up as AI use spreads. JCQ guidance, assessment redesign, and honest policy matter more than detection tools, which carry real false-positive risk.
0
detection tools we recommend relying on alone
03
Equity
Access is not evenly spread
Paid AI tiers, devices, and connectivity are unevenly distributed. An adoption plan that quietly advantages some pupils over others will not survive scrutiny, and should not.
1 in 4
pupils without reliable home device access
04
Workforce
Training before tools
Tools land badly on an untrained workforce. Training comes before rollout, and any system that adds workload rather than removing it has failed regardless of its accuracy.
2x
adoption after structured staff training
05
Procurement
Bought to last
Education buys carefully and keeps things for years. Total cost, exit routes, and DfE buying standards belong in the evaluation from day one, not after the pilot.
5yrs
typical life of an edtech purchase
Set your institution's
AI position.
A short call with the education team. Plain answers, a clear next step, and no software to sell.
— Go deeper
— Consultancy
Independent advice
Standards-led advisory for boards and leaders, with no software to sell.
— Solutions
Need it built?
Working AI systems designed and built by the Institute's engineering practice.
— Sectors
Explore other sectors
The full directory of IoAI sector programmes, grounded in UK regulation.