Embedding AI in Education Woodland Academy Trust · Strategic Review

Key Theme 03

Inclusive Practice & Accessibility

AI as a leveller — making high-quality, differentiated learning faster to create and easier to access for SEND, EAL and disadvantaged pupils, without lowering the bar.

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At Woodland, inclusion is "not viewed as an add-on, but as foundational — a lens through which all innovation is filtered." The AI initiative was explicitly designed to bring equity of access to high-quality learning to the fore.

Faster, more adaptive differentiation

Before the project, only 62% of staff felt confident planning for SEND and EAL learners using traditional methods, and differentiation was widely described as "time-consuming", "unsustainable" and "often reactive rather than proactive". AI changed the economics of inclusive planning. Staff used it to generate visual schedules for learners with autism, task breakdowns in simplified language for pupils with processing delays, positive behaviour scripts for SEMH needs, and alternative question sets for those working below age-related expectations. A "first draft" of differentiated material that once took up to an hour could be produced in minutes — reviewed and edited by the teacher, but no longer built from scratch.

Case studies made this concrete. A Year 4 teacher used an AI lesson-planning tool to create a social story, Jacob and the Toys, that helped a pupil with SEMH needs regulate anxiety around transitions. A Year 3 pupil with a speech and language plan followed AI-generated, symbol- supported instructions to complete a science investigation independently for the first time — described by the SENCo as a breakthrough. Across the Trust, AI-supported planning enabled "access without stigma", letting learners with additional needs join shared activities alongside their peers.

"He followed the whole sequence on his own — no prompts, no waiting. The visual sequencing was transformational."

Year 3 teacher

Technology as a leveller: EAL and disadvantage

Rather than "simplifying" content, staff reported that AI helped them present complex ideas in more accessible, multimodal and culturally responsive ways. For EAL learners, teachers created dual-language instructions, visual glossaries and reworded, culturally sensitive objectives. One Year 1 teacher produced a Romanian-English home-learning letter about spring animals; the pupil's parent said it was the first time they could meaningfully engage with their child's learning. In high-Pupil-Premium contexts, AI supported resource-light planning — prompt-based discussion, audio storytelling and scaffolded tasks accessible on shared iPads without extra handouts. A Year 6 teacher created three reading-level versions of the same maths problem in under ten minutes: "Now everyone's working on the same problem — but they're doing it their way."

"AI gave me the confidence to include families in the learning conversation — not just pupils."

Year 1 teacher

Learner agency and engagement

Some of the most striking outcomes were behavioural. Based on follow-up surveys and focus groups, 82% of teachers reported increased pupil engagement in AI-informed lessons, 78% noted improvements in learner independence, and 91% of KS2 pupils said they preferred lessons involving "new ways of thinking" or "more surprising activities". Teachers attributed this to novelty and voice, the clarity and structure of AI-generated materials, and scaffolded independence that supported access rather than dependence. Data reported elsewhere in the review showed 95% of teachers found AI increased the speed and quality of differentiated materials, and 89% said it helped provide more equitable access "without lowering the bar".

The report is candid about limits: AI materials often needed refinement for younger learners (EYFS and KS1), some content lacked nuance for complex SEND profiles, and ongoing CPD in prompt engineering is needed. As one KS2 teacher summed it up, "AI got me 70% of the way there — but the last 30% is where my knowledge of the child came in."

Key points

  • Staff confidence planning for SEND/EAL rose from a 62% baseline toward near-universal competence.
  • 95% found AI increased the speed and quality of differentiated materials.
  • 89% said AI gave more equitable access without lowering the bar.
  • 82% saw increased engagement; 78% saw improved independence; 91% of KS2 pupils preferred AI-supported lessons.
  • Differentiation appeared as natural variation — "access without stigma" — not obvious accommodation.

Why this matters for leaders

Inclusion is where AI's efficiency and equity arguments meet. Differentiation has always been the right thing to do and the first thing to be dropped under time pressure; by collapsing the cost of producing a good "first draft", AI makes proactive inclusion sustainable rather than aspirational. The "access without stigma" finding is especially significant — differentiated resources embedded as natural variation within a shared lesson protect pupil dignity in a way bolt-on accommodations never do. But the "last 30%" caveat is the guardrail: AI lowers the cost of a starting point, it does not supply knowledge of the individual child. Leaders should treat teacher subject and pupil knowledge as the non-negotiable that turns AI drafts into genuinely inclusive practice.