AI for School Improvement: Raising Standards, Reducing Workload & Driving Innovation

ABOUT THIS COURSE

This new one‑day course will provide teachers, middle leaders and senior leaders with the knowledge, tools and confidence to harness AI strategically. Delegates will explore how to reduce workload, personalise learning, and raise standards – while also ensuring safe, ethical and inspection‑ready use.

Whether you are already experimenting with AI or are unsure where to start, this course will show you how to embed AI in a way that delivers real impact for pupils, staff and whole‑school improvement.

BENEFITS OF ATTENDING

• Gain a clear understanding of what AI is and isn’t, and how to use it to enhance learning rather than shortcut it
• Take away a bank of ready‑to‑use prompts and student‑facing templates to improve engagement and deeper learning
• Explore practical strategies for SEND, EAL and high attainers, supporting inclusion at scale without lowering expectations
• Learn how to save time on planning, retrieval practice, resource creation and feedback, freeing you to focus on high‑value teaching
• Understand how to introduce AI consistently across a department or school, with clear guardrails for safety, ethics and data security
• Leave with a school‑ready AI Action Plan, showing measurable impact on workload, standards and inspection readiness

WHO SHOULD ATTEND

• • Use AI to reduce workload and raise attainment
  • Support inclusion for SEND and EAL pupils at scale
  • Improve inspection readiness through consistent and evidence‑based practice
  • Build their professional profile as a leader in digital strategy and innovation

PROGRAMME

• What generative AI is (and isn’t): opportunities and risks
• How AI differs from search engines: AI as a “critical friend” to staff and students
• Why schools need to tackle AI head‑on: workload, engagement, inclusion and inspection readiness

• The essentials of a high‑quality prompt: context, role, structure and output
• Using prompts to generate lesson plans, retrieval quizzes, differentiation scaffolds and feedback
• Interactive activity: design and refine prompts for your own subject

• How to balance student‑generated retrieval questions with AI‑assisted design
• Criteria‑based feedback: using AI to save time while maintaining quality
• Adapting materials for SEND, EAL and high attainers without diluting challenge

• Practical ways to help students generate their own prompts for deeper learning
• Scaffolds that move pupils through explain → compare → critique → apply → reflect
• Templates and routines for embedding prompt‑based learning in lessons and homework

• Designing acceptable‑use routines: transparency, academic honesty and accuracy checks
• Avoiding bias, hallucinations and over‑reliance: quick checks staff and students can apply
• Data privacy and intellectual property: what staff and students must (and must not) share

• Turning individual successes into consistent department‑wide practice
• Evidence of impact: workload metrics, pupil progress indicators, and inspection‑ready snapshots
• Coaching colleagues and supporting whole‑school alignment

• Prioritising three high‑impact use‑cases for your school context
• Planning a pilot, capturing impact and scaling successful approaches
• Building leadership credibility as your school’s AI lead