| ▲ | summarity an hour ago | |
My comment explicitly did not focus in the use of LLMs and in fact much of the post doesn’t. Leading with the depressing “work alone” slide, it focused on similarity, not AI use. Between students, ruling even “inadvertent” exposure as the same punishable (and literally literally undeniable!) offence. There’s millions of ways to structure a class for learning, this myopic focus is not one of them. Ironically the setup ignores the very basics of human collaboration. AI merely amplifies extremes, it’s a factor but neither the cause nor culprit here. The title includes “retrospective” but the learning and changes following such a process are absent. | ||
| ▲ | altruios 24 minutes ago | parent [-] | |
> Leading with the depressing “work alone” slide 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. | ||