project cci ual staff interviews
Considerations -> everyone is very busy, will people have time to contribute?
How to design it so that people feel inclined to do it, rather than being a burden?
what do I want to find out?
How are we across CCI, teaching AI literacy? What position are we taking?
should CCI take a defining and innovative stance on how we teach with AI
How is AI talked about/ introduced to students?
When do we talk about it first in the pedagogical process? (probably key differences in teaching postgraduate vs undergraduate)
Opinions on AI integration in learning - positive or negative, if negative ask why
As educators do we have a responsibility to prepare students for this landscape
the above are all interesting points, but quite generalised. I think it would be good to make the interviews more in service of my research projects that I am exploring
focus groups?
questionnaire?
observations ethics form doesn’t account for this, so will need to submit another for this/ work out if it’s valuable or useful
what do I want the findings from this to feed into?
1 - recruit / scope (questionnaire)
- I’ll send a short survey (5–8 Qs) to staff, with the aim to:
- Map teaching roles, engagement, brief opinions re. AI.
- Recruit for interviews.
- Your role at CCI
- What year groups/modules do you primarily work with? (short answer).
- How often do you discuss or use generative AI tools in your teaching?
- When (if at all) do you first introduce AI concepts to students in the learning process?
- In one or two sentences, how would you describe your current view of AI in education?
- What do you see as the main benefits and/or risks of using AI in teaching and learning?
- Would you be willing to take part in a 30-45 minute interview?
- Would you like to receive a short summary of findings?
2 -semi-structured interviews
- 30-45 minute semi-structured interviews
- can I offer participants different modes of interview to be more accommodating to varying and busy schedules (shorter, online, asynchronous written responses)
3 - analysis
- Questionnaire data - simple descriptives (counts, word clouds for open comments).
- Interviews - thematic analysis.
Compare the two, to see what emerges
Feedback summary email at the end - for reciprocity