Introduction — Teaching with AI course
Where we are going, what you will learn, and why this matters for your teaching and research.
Pathway 1 — Understanding
AI mini-course — free, for higher education
Eleven modules covering what higher education staff need to understand AI tools, use them confidently, and do so safely. No jargon. No login. Work through it in order or jump to what you need.
What Is AI?
Cutting through the noise — what AI actually is, what it is not, and why the distinction matters.
Large Language Models
The engine under the bonnet. How language models are trained and why they produce what they produce.
Generative AI
What generative AI can create, where it is reliable, and where it confidently produces nonsense.
Memory and Context
Why the AI forgets you every session, how context windows work, and how to use Projects effectively.
Writing Good Prompts
The single skill that makes the most difference. What strong prompts have in common.
Tools at a Glance
Claude, Gemini, ChatGPT, and Copilot compared — strengths, limits, and where to start.
Writing and Revision
Using AI as a writing partner — for lecture materials, feedback, communications, and more.
AI in the Classroom
Practical strategies for using AI in teaching — seminar design, differentiation, feedback at scale.
Responsible Use
Academic integrity, data protection, bias, and the professional obligations that AI does not remove.
Cheat Sheet and What's Next
A one-page reference card covering the full course, plus where to go next.
Each module takes roughly five to ten minutes. Work through them in order or jump to what you need. Your progress is saved in your browser for seven days.