AI does
Grouping scattered responses into themes and naming the tensions between them.
You do
Recognise which themes are real for this group and which are performance.
1 Research
Why this matters, and what good looks like
Placeholder content, pending authoring in a later content batch.
Interest is not the same as engagement, and neither is the same as a project worth three weeks. What this method produces is evidence about a particular group, not a topic.
Where the evidence comes from
Placeholder pending authoring. Student voice in project design is well-supported practice; the AI contribution here is summarising, which is low-risk but also unvalidated.
2 Workflow
Brief it, steer it, check it
Bring what they said, not what you remember
Paste the raw responses. Summarising before you start throws away the disagreements, and the disagreements are the useful part.
Prompt 1 · GroupCONTEXT I teach [subject] to [year group]. Here are raw responses from my class: [paste them, no names]. REQUEST Group these into themes. Name each theme in the students' own language. Then name the tensions: where do responses genuinely disagree? QUALITY BAR Do not invent a theme that fewer than three responses support. Say explicitly which themes are thinly evidenced. FORMAT Each theme as: the name, how many responses support it, and one representative quote. Then a short list of tensions.
Check before you use it
- Did you remove every student name before pasting?
- Is each theme supported by more than one voice?
- Do the themes sound like your students, or like a curriculum document?
Stop rule
Do not build a project on a theme only one confident student named. If the evidence is thin, go back and ask the class again.
3 Reuse it
So the next one takes minutes
Build a skill
Save this as a reusable instruction you can run on any project.
Build an agent
Chain the steps, with a checkpoint where you approve.
A single summarising pass does not justify a chained workflow.
Use cases are starting points with one perspective. Disagree with the process, that's expected. Make it yours.
Co-funded by the European Union under Erasmus+ KA210-SCH. No student data. No teacher material stored.