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Teachers across the Trust used AI not to hand over planning, but to enrich it — generating ideas, structure and resources that they then curated, refined and delivered with their own expertise.
AI-supported lesson planning in practice
Staff piloted a range of tools — general-purpose AI chatbots, education-focused AI lesson planners, and AI-driven assessment tools — to generate lesson content, suggest activities and create visuals aligned to curriculum goals. The range of use was wide: a cross-curricular volcano lesson in Year 5 with a live class quiz; a Year 3 science unit on plant growth with AI-built slides and formative quizzes; talking avatars of historical figures in Year 4 history; and text-to-image tools used to push pupils towards "more adventurous adjectives, similes and metaphors" in their writing.
Each type of tool played a distinct role. Structured, template-based AI planners helped novice teachers build confidence quickly, though more experienced staff found the fixed format limiting. Open-ended, general-purpose AI assistants felt daunting at first but rewarded better prompt design with sharper, more tailored results. Curriculum-linked planners pre-loaded with UK content produced fully fleshed-out plans that were valuable as a first draft — but their text-heavy slides needed pruning and enlivening. In one cautionary case, a Year 6 teacher who used such auto-generated output unedited ended up with 30+ "dull" slide decks "lacking adaptations", underscoring that AI supplies structure and content, but teachers must curate and simplify it for the classroom.
"The AI acts as a collaborative tool rather than a replacement for teacher expertise."
Teacher reflection, Woodland Academy TrustShifts in classroom practice and pedagogy
By streamlining the planning phase, AI enabled lessons that were more interactive, differentiated and resource-rich. Observers noted improved coherence and consistency: even less experienced teachers were presenting "high-quality writing models" and weaving key skills such as grammar into each lesson, immersing pupils in higher-quality examples. One early-career teacher's delivery improved markedly once he began using AI-guided plans, with observers noting "improved structure of lessons, engaging high-quality models, [and] clear ideas for input". In this sense, AI planning acted as an equaliser, helping to standardise effective practice across the Trust.
The most significant pedagogical impact was on differentiation. AI made it far easier to build in levels of challenge and scaffolded materials, and teachers' confidence in adapting plans for SEND and EAL pupils rose dramatically. Real-time AI assessment tools gave live, analytical feedback during lessons, letting teachers form "fluid groups rather than having set groups" and make on-the-fly adjustments based on real-time data — a shift toward dynamic, data-informed pedagogy that was much harder to achieve before.
Engagement and pupil voice grew alongside. As lessons became more interactive, pupils became active participants and sometimes co-creators — writing their own prompts for image-generation tools, for instance. Importantly, pupils recognised that the teacher remained in charge: "the teacher picks the things from the AI and makes it into the lesson" based on what they know about the class.
"I remember more … because we're doing things, not just listening."
Year 5 pupilTeacher reflections and the evolution of practice
Many teachers began sceptical — wary of AI's reliability or daunted by open-ended tools — and emerged confident and skilled, especially in prompt design. One leader developed detailed "mega-prompts" to generate precise medium-term planning documents. Survey data captured the shift: at baseline only half felt confident in their planning skills; afterwards, 100% felt confident or highly confident. Throughout, teachers stressed the need to filter, refine and decide on AI contributions rather than "blindly take all suggestions" — adjusting vocabulary, examples and tasks based on what they knew about their pupils, and even knowing when not to use AI at all.
Key points
- A small, deliberately chosen toolset was used to generate ideas, structure and resources — never final lesson plans.
- Lesson structure and consistency improved across classes, acting as an equaliser for less experienced staff.
- Real-time AI assessment data enabled fluid grouping and in-lesson differentiation.
- Pupil engagement rose through novelty, clarity, multimedia and opportunities for co-creation.
- Teacher confidence in planning rose from 50% to 100%; professional judgement stayed central.
Why this matters for leaders
The transformation here is not that AI wrote better lessons — it is that AI freed teachers to teach more fully. By absorbing the repetitive "blank page" work, the tools let staff spend class time on facilitation, feedback and one-to-one support, and let leaders raise a consistent floor of quality across classrooms. The critical leadership lesson is that the gains depended entirely on teachers curating outputs: the same tool produced "dull, lacking adaptations" decks when used passively, and richer, differentiated learning when used as a co-planner. Investment in prompt literacy and quality assurance is therefore not optional — it is what converts AI from a shortcut into a genuine driver of teaching quality.