‘But there is a difference between recognising AI use and proving its use. So I tried an experiment. … I received 122 paper submissions. Of those, the Trojan horse easily identified 33 AI-generated papers. I sent these stats to all the students and gave them the opportunity to admit to using AI before they were locked into failing the class. Another 14 outed themselves. In other words, nearly 39% of the submissions were at least partially written by AI.‘
Article archived: https://web.archive.org/web/20251125225915/https://www.huffingtonpost.co.uk/entry/set-trap-to-catch-students-cheating-ai_uk_691f20d1e4b00ed8a94f4c01
We fail students, especially en masse for cheating, all the time; this idea that we dont is anti-intellectual BS conservatives have spread around to descredit university systems. "Everyone passes because the woke means nobody can be excluded and everyone gets their participation trophy" nonsense.
i think that has a less effect on college, COnservatives dont go to college so that wouldnt count. plus participation grades have been around for decades, ever since early 2000s and its mostly for BUDGEt reasons for the school, they dont care if the person fails or not in the future, and they did the disservice by passing them in HS when they should be repeating it.
The idea that conservatives don't go to college is silly. They go to college, and while having a college education does have an impact on a person's political leanings, it's not the outsized one that gets played up in the culture war.
Data from the US:
Participation grades exist, I've taught classes that have them - but they seldom give credits towards degrees, and they aren't a thing in accredited programs (in fact the opposite is usually the case, competitive programs generally have massive classes where you're required to fail hundreds and hundreds of students at a time. The most soul-sucking experiences I have ever had while teaching have been running 600-1200 person weed out classes).
The funding process of a university is not straightforward - but no, the loss of a set of students, especially for cheating, is not a budgetary concern at an accredited institution. Academic standards enforcement is a condition for accreditation, even.
Are you a college professor in the US? I've been considering attempting to go that route, but I don't know if it's actually worth it, considering how few and far between the positions are, and that most universities seem to employ mostly adjunct professors at seemingly slave wages. Am I just being pessimistic, or is it as bad as it seems? I want to teach creative writing. I plan on teaching English as a second language when I finish out my bachelor's.
which subject? faculty positions are very competitive to be honest, especially in stem, and if your doing research , you should have written science papers, or been published quite a few times. since its teaching english.essay writing, some colleges might be desperate enough for english teachers, faculty positions seems hard to get , because there are tenure, and you might be a temporary hire/adjunt. i just know stem/bio department is super competitive asf.
You're right about the adjunct professor situation, it's really BS and should be illegal. They will get away with doing it as much as possible. I think a lot of professors have to start that way until an opening comes along
[not the person you asked]Colleges are having a rough time of it in today's political environment, so keep an eye on that, too.
Does you college library subscribe to the Chronicle of Higher Ed? I find it neat to read the headlines, see what other people are thinking on.
It's plagiarism with extra steps.
Or
It's plagiarism all the way down.
It's just plain ol' plagiarism, AI isn't doing anything new except lower the barrier to entry.
Plagiarism with extra layers may be more accurate. Before they would just copy a few sources or just wikipedia like the author says. Now they're using the plagiarism engine. It's built upon plagiarism, it is its lifeblood.
The most common form of plagiarism in highschool might have been just copying wikipedia, but certainly in college the most common version (prior to gpt) was copying the structure and form of the arguments but reworking the details and language used - which is what GPT does.
before that, was various sites have essays written, or had a preview of the essay subject you are about to write. so people copies it or just modify it slightly. like essay of a non-fiction book you have to write, is readily online in various sites prior to AI, either as a introduction paragraph or with the thesis, people just lift it off there.
Woops you don't realize I have worked in a couple colleges over the past 10 years, and also have friends who work in other colleges, and have seen how professors are pressured/forced to pass students who shouldn't. But it's not part of some "woke" shit, it's because the college doesn't want to lose a paying customer, and it also makes their numbers look better to recruit future students. I'm surprised, but happy, to see not all colleges are going this path because it really is some slimy shit.
What did you do at those universities (and were they notably accredited)? There's a world of options here, and the difference in areas of budgetary interest between being something like a provost vs. a lab manager is vast. Both deal with budgets, but the familiarity with the broad scope of the uni's budgetary policy vs. the realities of budgetary specifics is very relevant to the impression you present here.
For example, a reputation for enforcing academic rigour greatly improves things like grant allocation, which cover far more of a university's budget than a small percentage loss of tuition from academic dismissal of students does. That is not an aspect addressed directly below the level of deans (or program leads at larger unis, and PIs at research-heavy ones) but one that has a tremendous impact on the daily operation of the institution.
It's just not an either/or issue here, and in general academic dismissal is a net zero for a university because of those huge areas of unstated complexity.