Curriculum planning benefits from AI most at the ideas-generation stage — mapping possible sequences, spotting gaps, and drafting first versions of medium-term plans that a subject lead then refines.

Where AI adds value

  • Suggesting a logical sequence of sub-topics for a half-term unit
  • Identifying possible cross-curricular links across subjects you're planning together
  • Drafting knowledge organisers as a starting point for a subject lead to refine

What still needs a human curriculum lead

Decisions about progression, how a topic builds on what pupils learned in previous years, and alignment with your school's specific curriculum intent should be made by your subject leads — AI doesn't know your school's curriculum map or your pupils' starting points. Use it to generate options, not to make the final call.

A practical starting point for subject leads

If you're a subject lead reviewing a unit for the first time in a while, try asking AI to suggest gaps or misconceptions commonly associated with a topic, then check that against what you already teach. This is a genuinely useful sense-check — not because AI knows your curriculum, but because it can surface common pitfalls other schools have documented, which you then weigh against your own professional knowledge of the subject.

Key takeaways

  • Use AI for sequencing ideas and knowledge organiser first drafts.
  • Progression decisions stay with your subject leads, who know your curriculum map.
  • AI is a useful sense-check for common misconceptions in a topic.