Wednesday, July 17, 2024

Thinking assessment in the large as an answer to AI

Greetings from the CRADLE Seminar "Assessment beyond the individual unit/module and AI". Associate Professor Jason Lodge is talking about how to see how students progress over time, rather than assessing in small packets of instruction. While he did not explicitly say it, I assume he envisions this makes it harder for the student to cheat, using AI, or otherwise, as they would not be showing consistent progress. 

Mentioned by someone was "Assessment reform for the age of artificial intelligence" (TEQSA, 2023). 

Margaret Bearman took us through the logic of current unit based assessment and asks about "big picture" outcomes. My reaction was "Inst that what capstones are for?". You have the student do a big project at the end of their study, where they have to demonstrate the skills needed. 

Surprisingly, there was little mention of AI, which is refreshing. The approach is to get the assessment right and cheating will be harder, however it is done.

I asked the panel:

'Will technology help? Could we give the AI each student's CV and have it suggest what degree requirements they have already met? I help out with applications for course credit and there is a lot of stuff students have done they really don't have to do again. More than once I have thought we should have the student teach the course. ;-)


The next seminar is: "Second Handbook of Academic Integrity (2024) launch".

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