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College professors are going back to paper exams and handwritten essays to fight students using ChatGPT
(www.businessinsider.com)
This is a most excellent place for technology news and articles.
So ... I honestly think this is a problematic reply ... I think you're being defensive (and consequently maybe illogical), and, honestly, that would be the red flag I'd look for to indicate that there's something rotten in academia. Otherwise, there might be a bit of a disconnect here ... thoughts:
calculator
was in reference to arithmetic and other basic operations and calculations using them ... not higher level (or actual) mathematics. I think that was pretty clear and I don't think there's any "fallacy" here, like at all.value of learning (actual) mathematics
is pretty obvious I'd say ... and was pretty much stated in my post about alternatives to emphasise. On which, getting back to my essential point ... how would one best learn and be assessed on their ability to construct proofs in mathematics? Are timed open book exams (and studying in preparation for them) really the best we've got!?Still forgetting with open book exams
... seems like an obvious outcome as the in-exam materials de-emphasise memory ... they probably never knew the things you claim they forget in the first place. Why, because the exam only requires the students to be able to regurgitate in the exam, which is the essential problem, and for which in-exam materials are a perfect assistant. Really not sure what the relevance of this point is.Forgetting after coursework
... how do you know this (genuinely curious)? Even so, course work isn't the great opposite to exams. Under the time crunch of university, they are also often crammed, just not in an examination hall. The alternative forms of education/assessment I'm talking about are much more long-form and exploration and depth focused. The most I've ever remembered from a single semester subject came from when I was allowed to pursue a single project for the whole subject. Also, I didn't mention ordinary general coursework in my post, as, again, it's pretty much the same paradigm of education as exams, just done at home for the most part.Rebuilding education toward employer centric training system
... I ... ummm ... never suggested this ... I suggested the opposite ... only things that were far more "academic" than this and were never geared toward "productivity". This is a pretty bad staw man argument for a professor to be making, especially given that it seems constructed to conclude that the academy and higher learning are essential for the future success of the economy (which I don't disagree with or even question in my post).OK Mr Socrates how else would you assess whether a student has learned something?
Ha ... well if I had answers I probably wouldn't be here! But seriously, I do think this is a tough topic with lots of tangled threads linked to how our society functions. I'm not sure there are any easy "fixes", I don't think anyone who thinks that can really be trusted, and it may very well turn out that I'm completely wrong and there is not "better way", as something flawed and problematic may just turn out to be what humanity needs.
A pretty minor example based on the whole thing of returning to paper exams. What happens when you start forcing students to be judged on their ability to do something, alone, where they know very well that they can do better with an AI assistant? Like at a psychological and cultural level? I don't know, I'm not sure my generation (Xennial) or earlier ever had that. Even with calculators and arithmetic, it was always about laziness or dealing with big numbers that were impossible for (normal humans), or ensuring accuracy. It may not be the case that AI is at that level yet for many exams and students (I really don't know), but it might be or might be soon. However valuable it is to force students to learn to do the task without the AI, there's gotta be some broad cultural effect in just ignoring the super useful machine.
Otherwise, my general ideas would be to emphasise longer form work (which AI is not terribly useful for). Work that requires creativity, thinking, planning, coherent understanding, human-to-human communication and collaboration. So research projects, actual practical work, debates, teaching as a form of assessment etc. In many ways, the idea of "having learned something" becomes just a baseline expectation. Exams, for instance, may still hold lots of value, but not as forms of objective assessment, but as a way of calibrating where you're up to on the basic requirements to start the real "assessment" and what you still need to work on.
Also ...
OK Mr Socrates
... is maybe not the most polite way of engaging here ... comes off as somewhat aggressive TBH.