AI for Educators
Honest classroom practice for an AI-rich world.
A short, practical course for teachers and curriculum designers — dense, not long. How to use AI to lighten your own load, teach students to use it honestly, redesign assignments that hold up, and assess real learning. Every module leaves you with a template you can use on Monday.
For school and university teachers, curriculum designers, and training leads.
You will be able to
do the work.
- Use AI to plan, differentiate, and give feedback — saving real time
- Teach students to use AI critically and honestly
- Design assignments that AI can't simply complete for them
- Assess learning with process-aware rubrics and oral defences
- Write a clear classroom or school AI policy
- Protect student data and navigate equity and privacy
What we cover.
Prerequisites
- An active teaching or curriculum role — so you can apply it as you go.
- 01
The classroom under AI
30 minWhat changed, what didn't
The honest reframe. What AI actually changes about teaching, what it doesn't, and the conversation worth having with students at the start of term.
- 1.1What AI changes about teaching — and what it doesn't
- 1.2A quick foundation: what an LLM is, and why it makes things up
- 1.3The start-of-term conversation with your students
ToolkitA start-of-term AI conversation script.
- 02
AI as your teaching assistant
35 minLighten the load
The work AI genuinely saves you — planning, differentiation, feedback, examples. A personal win before the harder pedagogy.
- 2.1Planning lessons and units with AI
- 2.2Differentiating for a mixed-ability class
- 2.3Drafting feedback faster — without losing your voice
- 2.4Generating examples, questions, and quiz banks
ToolkitA prompt library for planning, rubrics, and differentiation.
- 03
Teaching students to use AI well
35 minLiteracy, not bans
How to teach students to use AI critically and honestly, rather than policing it. Age-appropriate literacy, citation, and knowing when it's a crutch.
- 3.1Critical use: helping students question AI output
- 3.2Citation and honesty — what to expect at each age
- 3.3When AI helps learning, and when it short-circuits it
ToolkitA student AI-use guide, age-banded.
- 04
Designing assignments that hold up
40 minWork AI can't just do for them
Redesigning assessment for an AI-rich world — tasks that use AI as input but still require the student's own thinking. Worked across subjects.
- 4.1Why some assignments collapse under AI — and some don't
- 4.2Process-aware design: making the thinking visible
- 4.3Worked redesigns across humanities, STEM, and the arts
ToolkitAn assignment-redesign framework with worked examples.
- 05
Assessment and academic integrity
35 minReal evidence of learning
Rubrics, oral defences, and process evidence — and the honest truth about AI detectors. What integrity means now.
- 5.1Why AI detectors don't reliably work
- 5.2Process-aware rubrics and what they reward
- 5.3Oral defences and other evidence of real learning
ToolkitProcess-aware rubric templates and an oral-defence question bank.
- 06
Policy, equity, and student data
30 minDoing this responsibly
Writing a class or school AI policy, protecting student data, and navigating the equity gap — plus bringing parents and admin along.
- 6.1Writing a class or school AI policy
- 6.2Student data and privacy — the line not to cross
- 6.3Equity, access, and communicating with parents
ToolkitAn editable class AI policy and parent communication templates.
Reserve a place.
We open enrollment a few weeks before each cohort starts. Tell us about your work — we'll write to you first when a place opens.
Self-paced, designed to fit around teaching. Work through it on your own schedule; lessons are released as they're recorded.