What’s New Since 2024–2025 (Policy and Evidence)

• DfE updated policy paper on generative AI in education (Aug 2025): emphasises teacher workload reduction, safety-first risk assessment, product safety expectations, filtering/monitoring standards, and careful consideration before any pupil-facing use.
• DfE-funded initiatives: Oak National Academy’s AI lesson assistant (Aila), a DSIT-funded “content store” pilot, and an edtech evidence board pilot to assess tools’ impact claims.
• DfE research: educator/expert views and use-case reports (2024) highlight strongest near-term benefits in teacher-facing tasks (planning, feedback, admin).
• ICO notes guidance under review following the Data (Use and Access) Act (June 2025); organisations should use AI with UK GDPR principles (lawfulness, fairness, transparency, minimisation) and the ICO AI risk toolkit.
• EEF continues to advise: technology improves learning when it supports effective teaching—short, frequent practice with feedback, and clear routines—not when it simply adds screen time.
  
  

High-Value EdTech Use Cases (2025)

• Retrieval and practice: low-stakes quizzing and spaced review that auto-marks and closes feedback loops.
• Adaptive support: tailored question sets in maths, reading/phonics, languages; teacher can override and review analytics.
• Planning and feedback: AI-assisted drafting of lesson outlines, success criteria, exemplars, and formative comments—with human editing.
• Accessibility & inclusion: read-aloud, captions, translation, adjustable reading ages, dual coding—supporting EAL and SEND.
• Admin efficiency: minutes/action lists from meetings, parent comms drafts, and structured data entry—time back to teaching.
  
  

Safe and Effective AI in Schools (UK Essentials)

• Teacher-first usage: prioritise staff-facing workflows (planning, feedback, admin).
• Risk assessment: define intended use, benefits vs risks; comply with age restrictions; use filtering/monitoring; plan for unauthorised uses.
• Data protection: minimise personal data; avoid uploading sensitive data to public tools; prefer approved, private tools; record when AI was used for public-facing content.
• Bias and accuracy checks: sample outputs for correctness and bias; keep a human in the loop.
• Academic integrity: design mixed assessment modes (in-class writing, orals, viva checks); teach process evidence and citation.
  
  

30-Day Implementation Plan (Pilot, Don’t Boil the Ocean)

• Week 1: Pick one problem (e.g., retrieval in Year 8 science). Choose one tool. Write a 10–15 minute routine and success criteria.
• Week 2: Train pupils on routines and safety; run the routine twice; gather quick staff/student feedback.
• Week 3: Add non-digital consolidation (short written response); verify transfer without the tool.
• Week 4: Review impact (quiz gains, workload saved, equity access). Decide to scale, tweak, or stop.
  
  

Inclusion, Equity, and SEND Access

• Offer no-tech/low-tech alternatives; avoid homework that assumes home devices or printers.
• Provide audio instructions, vocabulary mats, dual-coded examples; allow oral/video responses where appropriate.
• Timetabled study clubs/device loans; predictable, low-cognitive-load routines.
• Accessibility by design: screen reader support, captions/transcripts, keyboard navigation.
  
  

Procurement and Interoperability (Before You Buy)

• Curriculum fit: explicit mapping to schemes of work and assessment objectives.
• Evidence: independent evaluations or transparent logic model; pilot in comparable settings.
• Privacy/security: UK GDPR compliance, clear retention/deletion, UK/EU data hosting where possible.
• Technical fit: SSO, exports, MIS/LMS compatibility; simple dashboards teachers actually use.
• Total cost: licences + devices + CPD + setup time; have an exit plan if impact is weak.
  
  

Measuring Impact (Simple and Honest)

• Learning: pre/post quiz deltas, error types, writing quality samples.
• Engagement: completion rates, on-task time, student voice.
• Workload: minutes saved on marking/planning/admin; staff feasibility ratings.
• Equity: access logs, SEND/EAL adjustments implemented; parent feedback.
  
  

FAQs

 

Will technology replace teachers?

No. DfE and EEF evidence point to teacher-led implementation as the route to impact. Technology amplifies great teaching—clarity, modelling, practice, feedback—not replaces it.

 

Do we need 1:1 devices?

Not necessarily. Many high-impact routines work with shared class sets or in-school clubs. Prioritise equitable access and strong routines over device ratios alone.

 

How do we prevent distraction?

Timebox tasks (10–20 minutes), use focus modes, teach device norms (e.g., “lids at 45°”), and remove devices before discussion/writing. Assess learning without the tool to confirm transfer.

 

Is pupil-facing AI allowed?

Yes, but DfE urges caution. If used, supervise closely, comply with age restrictions, and put safeguarding, filtering/monitoring, privacy, and integrity measures in place. Teacher-facing use is lower risk and often higher impact in the near term.

 

Key Takeaways

• Pedagogy first: match tools to specific learning needs; keep tasks short and feedback-rich.
• Safety and privacy are non‑negotiable: follow DfE guidance and UK GDPR; use the ICO AI toolkit.
• Equity by design: plan alternatives and access; support SEND/EAL from the start.
• Pilot → measure → scale: keep what works, sunset what doesn’t.