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AI & Learning

What changes — and what remains fundamental —
when AI enters learning?

Look beyond individual tools to the bigger educational questions AI creates: what learners need to know, how they think, what they produce and what counts as meaningful evidence of learning.

AI & Learning ignition points

Teaching Thinking in the Age of AI

How do we ensure that AI extends thinking rather than replacing it?

  • Identify the thinking learners need to undertake and make the processes explicit through modelling, language and supported practice.
  • Design learning that requires students to think first, extend their thinking with AI and take responsibility for evaluating and applying the result.

Translating Pedagogy for the AI Era

How do established principles of effective learning apply when AI enters the classroom?

  • Connect current questions about AI with what strong pedagogy and learning science already tell us about knowledge, thinking and guided practice.
  • Examine where AI can strengthen learning and where teaching must protect the intellectual work learners need to do for themselves.

Teaching Beyond Recall in the Age of AI

What becomes more important when information and generated answers are readily available?

  • Explore the knowledge and conceptual structures learners need to interpret information, recognise connections and make sound judgements.
  • Design learning that moves beyond retrieving information towards reasoning, transfer and increasingly independent application.

Assessment Redesign for AI Learning

How can assessment reveal genuine learning when AI can produce polished work?

  • Distinguish AI-assisted performance from evidence of developing understanding, judgement and capability.
  • Redesign assessment so that student thinking, decision-making and transfer remain visible before, during and after AI use.

Tailored professional learning

Your school.
Your context.
Your learning.

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