Audience: students at UK universities who want to use GenAI to help with their learning without breaking the rules.
Goal: show you how to use AI to understand tasks, plan, draft and practise, and how to tell your tutor you used it.
Before you use AI for an assignment, check your module handbook / assignment brief / VLE...
...if it says “no AI”, then that supercedes any advice given here! Please respect your institutional guidelines.
👉 If AI is allowed/allowed with acknowledgement → go to Using AI in your assignments
👉 If you used AI and need to tell your tutor → go to How to acknowledge GenAI
👉 If you just want help with reflection / interviews / STAR / Gibbs → go to AI for reflective & career tasks
👉 If you want to use GenAI to help with studying or revision → go to Studying & Revising with AI
👉 If you want to learn more about GenAI in general → go to Training Course
Understanding the assignment brief
Planning and outlining
Improving clarity and academic tone
Practising questions and interviews
Explaining difficult reading
Getting started on reflective frameworks (e.g., STAR or Gibbs)
Decide if using AI is allowed on your module
Check your references for you
Take responsibility for academic integrity
5 workflows (unpack → plan → draft → check → acknowledge)
What to do if AI is not allowed
Low-/no-access version (when you can’t log in)
3 templates (inline, appendix, group)
When you don’t need a big note
When you must say more
Prompts to structure your own experience
Mock interviews
Warnings about confidential placement data
How to use GenAI for revision
GenAI revision tools you can try straight away
Making GenAI work with learning science
Spotting GenAI's mistakes and staying in control
Modules on:
Introduction to Generative Artificial Intelligence
Biases in AI models
Privacy when using AI models
Limitations of Generative AI
Introduction to using GenAI tools - the basics
Using GenAI ethically in your studies
Important!
Don’t paste confidential placement / patient / service-user data into public AI.
Don’t upload someone else’s assignment.
If you’re not sure, read Core guidance → Data, privacy, copyright & accessibility (UK HE).
They may ask you to submit your AI prompts, an AI output, your improved version and a reflection. Keep them as you work, t’s easier than trying to remember at the end.