So it is feasible (in principle) to give every student a different exam!
You’d use AI to generate lots of unique exams for your material, then ensure they’re all exactly the same difficulty (or extremely extremely close) by asking an LLM to reject any that are relatively too hard or too easy. Once you have generated enough individual exams, assign them to your students in your no-AI setting.
Code that the AI writes would be used to grade them.
- AI is great at some things.
- Code is great at other things.
- AI is bad at some things code is great for.
- AI is great at coding.
Therefore, leverage AI to quickly code up deterministic and fast tools for the tasks where code is best.
And to help exams be markable by code, it makes sense to be smart about exam structure - eg. only ask questions with binary answers or multiple choice so you don’t need subjective judgment of correctness.
except (like it or not) students are in direct competition with each other. Unique assessments would be impossible to defend the first time a student claimed your "unfair" test cost them a job, scholarship or other competitive opportunity.
So it is feasible (in principle) to give every student a different exam!
You’d use AI to generate lots of unique exams for your material, then ensure they’re all exactly the same difficulty (or extremely extremely close) by asking an LLM to reject any that are relatively too hard or too easy. Once you have generated enough individual exams, assign them to your students in your no-AI setting.