That some 50% are using the LLMs rather than spend effort learning is not a cause to remove the ban of LLMs in the classroom.
90% of the power of an LLM is being yourself competent enough to judge its outputs. Besides, do we really need more humans coding like LLMs?
The title includes “retrospective” but the learning and changes following such a process are absent.
working in a team is valuable. but that value is proportional to the teammates chosen. teammates who have worked alone and can think through their decisions are more valuable, thus it is this way.
>AI merely amplifies extremes, it’s a factor but neither the cause nor culprit here.
you may have missed this part: ~As discussed in the paper, we have also run the tool against earlier semesters with very compelling and interesting results. In particular, the indicators that we use are virtually nonexistent prior to 2024 and their presence increases rapidly over the following years.~
So it stands to reason that LLM's are in fact, the culprit here.
If society offered some reward for lifting the weight while not enforcing how, forklifts would absolutely be used to lift weights.
Prof: "I know you cheated."
Student: "How do you know it, can you prove it?"
Prof: "I have ways, trust me I know."
Student: "I know the material, I'll re-take the test right in front of you if you want."
Prof: "Either admit that you cheated and get a F, or don't admit and I'll send you to the school's academic integrity department."
"Okay, but that's worse. You do get how that's worse, right?"
As far as the "comically inept" setup, I think that's acknowledged in the retrospective - including an apology.