staff-interview-overview

1. practice and present reality

their students
their teaching context
where AI is already present

areas to cover:
teaching context
student reality
current AI presenece

2. encounters with AI (experience)

moments of surprise, friction, usefulness
student uses they’ve observed
their own experimentation or refusal

areas to cover:
lived experience
nuance beyone pro / anti AI sentiments
possible contradictions

3. values (what mustn’t change)

what they believe is essential to learning
where difficulty should remain
what they fear losing
legitimate vs illegitimate assistance

areas to cover:
where effort and rigour should remain
potential elitism tensions
‘vibecoding’ vs fundamentals

4. futures and imaginaries

near futures of learning
trajectories rather than predictions
institutional roles and responsibilities

areas to cover:
education futures
assessment changes
hopes and concerns

5. tools, agency and alternatives

bespoke tools vs corporate platforms
institutional responsibility
AI literacy as practice

areas to cover:
open/local tools
institutional support(?)
ethical/structural concerns