Craig Smith
How we engage and motivate learners.
How we represent content.
How learners show what they know.
Inclusion is how we design for human variability.
We might think of inclusive learning design as emerging from the interaction of three forms of awareness:
As technology has evolved, what it allows us to do to provide access and personalisation of learning has evolved with it.
In the Australian Autism Educational Needs Analysis, autistic students described the difficulties they faced at school:
AI can readily support many of these.
Saggers, B., Klug, D., Harper-Hill, K., Ashburner, J., Costley, D., Clark, T., Bruck, S., Trembath, D., Webster, A. A., & Carrington, S. (2018). Australian autism educational needs analysis — What are the needs of schools, parents and students on the autism spectrum? Cooperative Research Centre for Living with Autism, Brisbane.
how we engage and motivate learners · how we represent content · how learners show what they know
In this session, three ways of using AI — all part of the same inclusive design process.
Teacher-facing. Sometimes before the lesson, sometimes during — sometimes the same thing.
Communication, sensory, executive function. Surfacing our cognitive biases. Thinking in neurodiversity-affirming ways.
Chunking learning, supporting task initiation, helping with self-regulation.
Here, AI works alongside you as a planning partner. You stay the designer of the lesson — AI helps make the invisible work of inclusive design quicker to see and act on.
We use it to surface the executive function demands hidden inside a task, turn assignments and lessons into steps students can follow on their own, and plan with learner variability considered from the very start — before the lesson, and sometimes during it.
“Break this task down for a [age]-year-old.”
Then ask what executive functions it really needs — and how to scaffold each.
“Turn this assignment into steps with time estimates.”
Plain language students can follow on their own.
“Break this lesson into a visual sequence.”
Each card: a short label, a one-line description, and an icon idea.
Three tools on The Universal Sandpit to plan, think, and check your work through a UDL lens.
“Make this lesson more inclusive for my neurodivergent students.”
Then ask for ideas across engagement, representation, and action & expression.
The focus shifts from planning content to responding — to a student, and to ourselves. Here AI is a thinking partner, not an answer machine.
We use it to reflect on a tough moment through a neurodiversity-affirming lens, plan a fresh approach to a pattern that keeps repeating, and draft social narratives that help a student through a situation — always to understand the student and check our own assumptions, never to ‘fix’ them.
“Help me reflect on this through a neurodiversity-affirming lens.”
Ask me questions that surface my assumptions and other ways of seeing it.
“Help me plan a new approach to this repeat pattern.”
Give me a staff plan and a warm script I can read with the student.
“Write a social narrative about [situation].”
Plain, first-person language — warm, affirming, no moralising.
Now the tools go straight into students' hands. These are student-facing and self-directed — the student stays in control of the plan.
Students use AI to chunk their own work, find a way in when starting is hard, plan around the energy they actually have, move from how they feel to how they'd like to feel, and settle into quiet focus — building agency and self-regulation, on their own terms.
“Break this assignment into chunks I can manage.”
Give me a list I can rearrange, not a plan I have to follow.
“Help me start [task] when starting is hard.”
Suggest gentle ways in — sensory, emotional, structural.
“Help me plan today around the energy I actually have.”
Use spoon theory. I'll tell you my spoons and what I want to do.
“Help me get from feeling [X] to feeling [Y].”
Suggest small steps I can try — gently.
What's one simple AI tool or prompt you'll add to your guidance and instruction this week?