• ExLisper@lemmy.curiana.net
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    3 hours ago

    So the problem here is degree inflation. 20 years ago when I was getting my first master’s degree it was a 5 years of in person classes. In the meantime degrees became required for lots of positions. Teachers need to get additional degrees to get promotions, you need a degree to apply for a job in the public sector and so on. So what used to be a proof of your qualifications became just a certificate you need to get. Now I’m getting my second master’s degree and it’s a year of online classes, without any in person evaluation. We will either start distinguishing between bullshit degrees from online universities and real ones or all of them will lose any value.

    • bluGill@fedia.io
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      4 minutes ago

      I saw rants very much like yours 30 years ago - before you first masters…

      A masters has always to my knowledge been one additional year after you have a 4 year degree. So that they only require 1 year for the second degree is expected - you already have a 4 year degree, a masters is one additional year of advance study on top of it.

  • ooo_shiny@lemmy.nz
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    4 hours ago

    The gold standard would be to make each student do an oral defense of their work. Hand-written exams are good too. Both of these approaches are time-consuming to mark, though.

    Assessment design can require students to perform analysis of rare and obscure source material, so that there are no published materials for AI to draw on (which can make it struggle). Similarly, asking for a good bibliography that lists the sources used in the text and formats it correctly would show up the hallucinatory tendencies of AI, I think — though I haven’t tried the latest models.

  • Th4tGuyII@fedia.io
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    6 hours ago

    I can think of a couple of rules that could prevent a lot of the more blatant cheating:

    • All computer generated coursework must have some form of change tracking enabled, thus the assessor can see the way the essay was written.

    • All computer generated coursework must come with an accompanying oral assessment where the student has to discuss their work and research methodology.

    The former would make it difficult to copy directly from ChatGPT, as the lack of any editing would leave an obvious fingerprint

    … And passing the latter would require a level of understanding that would be difficult to replicate if you hadn’t done the research yourself.

  • magnue@lemmy.world
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    6 hours ago

    As someone who is terrible at project work but great at tests, maybe now is finally my time to get a degree. Because tests seem the only thing you can’t cheat on now.

    • Eq0@literature.cafe
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      8 hours ago

      Yeah, it’s a made up problem. In my experience, generated by two factors: universities wanting to increase the number of tests for each subject, and wanting students to be experienced with using computers. Thus many tests become at home, with the computer, where cheating is soooooo easy.

      • steelplatedmech@piefed.ca
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        39 minutes ago

        Yeah, cheating with electronics is nothing new. Laptop and phones and internet has existed long before AI, and people could get outside help through messages to have people feed them answers.

        Yet, schools dealt with it by either doing in class paper and pencil exams, or digital in class exams on locked down computers with no internet access and no desktop access with software like examsoft.

        I’ve had even math teachers ban graphing calculators or provide use of in class graphing calculators well aware of notes that could be typed into them and programs made to solve answers before hand.

        So all these current issues seem to be the result of either schools moving to take home, or letting people use personal electronics with full internet and file access during exams. Its like teachers lost the ability to say no to what is and isn’t allowed during exams.

    • abbadon420@sh.itjust.works
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      8 hours ago

      What are you on about? This is about how universities have a hard time managing AI use and misuse by students. Have they sown those AI tools?

      The essence of an academic paper is that a student shows that they have learned all the goals that were set for that course or courses. If a student lets tgere paper be generated by AI, they can not prove that they have learned those goals. That is why universitues have (or should have) strict AI guidelines, so that students know which kinds of use are allowed and which are not.

      This is a hard nut to crack. Of course you will see overfitting and underfitting until someone somewhere fimds a universal approach. I personally think AI-detection tools are shit, but you cannot fault universities for trying it. My university handles AI fraud manually, with a committe. That is very labor intensive. We only have a couple hundred students, but if you have thousands, it quickly becomes impossible.

      • iltoroargento@startrek.website
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        7 hours ago

        I thought that they were trying to get at the hypocrisy of using ai tools to detect ai writing, which has a dismal success rate and ends up with a crazy amount of false positives.

        I see that the growth of computer/digital testing directly led to student abuse of ai. Once students were no longer called on to write a blue book or even just generate responses to short answer questions, we failed our students. I understand that term papers and larger writing assignments have their place, but there really is nothing like being able to sit down and show your knowledge in an on the spot essay (at least for a lot of humanities courses where I see ai being abused).

        A systemic issue in this space comes from universities and licensing entities giving testing companies carte blanche to race to the bottom in terms of effective testing tools. For licensing, apprenticeship/mentorship and observation are always better indicators of on the job performance, but that doesn’t have the ease and profit margins of big bullshit testing, so companies would never go for it unless states mandated such pathways. With regard to a lot of current digital university testing, a lot of that was Frankensteined from existing licensing exam tools/strategies and similarly does not effectively assess student/candidate aptitude.

        Even if this was not the intent of the commentor, my argument is that carelessness and disingenuous/gatekeeping testing practices from universities and licensing institutions certainly bred a significant level of disengagement in students which leads to them phoning it in with ai slop. If we wanted rigorous work from our students, we should have kept the same standards for ourselves, collectively.

        • db2@lemmy.world
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          40 minutes ago

          You pretty much got it. I’m a little surprised more didn’t tbh.

      • db2@lemmy.world
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        42 minutes ago

        These places that went all in on hyped up “AI” and dystopian surveillance can take their lumps. They’re “realizing” what they’ve been told from day one.