AI-use guidance
Every task in this module carries an AI Assessment Scale (AIAS) label (Perkins, Roe and Furze, 2025, refining Perkins et al., 2024). If it is unlabelled, ask on the Q&A board before using AI.
| Level | What it means here | Example in this module |
|---|---|---|
| 1 No AI | Your own unaided work | Week 9 discussion; P4 recorded reflection |
| 2 AI planning | AI for ideas, structure or research planning; you write the work | P1, P4 writing; revision planning in week 15 |
| 3 AI collaboration | AI may help draft or create parts; you critically check, edit and log them | P3 prototype; P2 analysis (where allowed) |
| 4 Full AI | AI used throughout, directed by you | Not used for assessed work in this module |
| 5 AI exploration | Creative or critical exploration of AI itself | Week 12 test-bench (formative) |
The AI-use declaration (required with each portfolio part)
- Tool(s) and version, and the date used
- What you used it for (with the AIAS level)
- Key prompts (or a summary)
- What you checked, changed or rejected, and why
- Confirmation that no personal or sensitive data was entered
Data rules
- Use university-approved tools where available.
- Never enter learner, colleague or institutional data that could identify anyone.
- You are responsible for the accuracy of anything you submit.
Why a recorded reflection? It lets you show your professional judgement in your own voice. It's part of the evidence, not a policing tool.
Sources: Perkins, M., Furze, L., Roe, J. and MacVaugh, J. (2024) 'The Artificial Intelligence Assessment Scale (AIAS)', Journal of University Teaching and Learning Practice, 21(6), https://doi.org/10.53761/q3azde36; Perkins, M., Roe, J. and Furze, L. (2025) 'Reimagining the Artificial Intelligence Assessment Scale', JUTLP, 22(7), https://doi.org/10.53761/rrm4y757. Wording to be aligned with LJMU policy.