This area is for colleagues who teach, assess, support learning, or design curriculum and want to make sensible, sustainable decisions about GenAI.
GenAI tools change quickly; assessment principles don’t. Everything here is written to be tool-agnostic and aligned with UK HE practice.
These pages are a work in progress - check back soon or if you have great content contact us.
👉 Process-Driven Assessment
👉 Designing assessments in an AI world
👉 AI Use Statements & Acknowledgement
👉 Teaching with AI (Activities)
👉 Feedback with AI
👉 Staff Training / Workshop
GenAI can help students plan, draft and improve work — even if you didn’t intend it.
Detection tools are not reliable enough to build a whole assessment strategy on.
You can require process and disclosure so you see how AI was used.
Your local/School/university AI guidance comes first — follow that wording if it differs from ours.
This is our main answer to “What do we do now AI can write things?”
Students submit:
The task/brief they worked from
The AI prompts/outputs they used
The version they improved
A short reflection on their choices
That way, you assess judgment and learning, not just a final AI-polished product.
Go to: Process-Driven Assessment
Most confusion comes from unclear task rules.
On the AI Use Statements & Acknowledgement page you’ll find:
Ready text for module guides / VLE pages
3 policy levels: not allowed / allowed with disclosure / process-assessed
Student-friendly acknowledgement templates (to match your wording)
You can make AI visible and critical in seminars, workshops, and online spaces without committing to one platform.
In Teaching with AI (Activities), you’ll find:
Short, ready-to-run activities (10–30 mins)
In-class and online/VLE versions
Low-/no-access options (for rooms where students can’t log in)
Debrief notes so the focus stays on your subject, not the AI
AI can help you:
Structure written feedback
Vary tone and make feedback clearer
Generate feed-forward for the next task
Students can use AI to unpack your feedback and turn it into an action plan. You still make the final call.
Go to: Feedback with AI
We’ve included ready workshop outlines so academic teams, TEL teams, and course leaders can run local sessions without starting from scratch. Each workshop links back to the pages above.
Go to: Staff Training / Workshops
Whenever you ask students to paste work or placement material into AI, point them to:
Core guidance → Data, privacy, copyright & accessibility (UK HE)
Core guidance → Local / institutional policy first
These explain what students must not upload (e.g. confidential placement data) and how AI can still support accessibility.