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▲ a57721 3 hours ago

I am teaching some math courses, and I see how LLMs disrupted all standard approaches, and I don't know what to do.

I rely on written exams that are open book, but forbid any use of computers and smartphones in class.

The university insists that homework can't be optional, but it lost its meaning. I've tried to explain to my students that it's in their interest to think about home assignments on their own, but the majority will obviously use gen AI, and it's such a waste of time to check and grade LLM output.

I just had an experience where all students were given "sample problems" to try at home and prepare for the written test. Many of them just dumped the document into an LLM, asked it to produce some "exam guide", and showed up with that thing printed out, asking me during the test to explain what LLM output meant.

It seems like the university also has many people pushing for AI use for everything, but I teach basic stuff where the goal is to make students think on their own and digest some fundamental ideas, LLMs can produce perfect solutions, but relying on them is pointless.

▲drakonka 2 hours ago | parent | next [-]

I'm taking a year-long sabbatical to study a language at university right now and they're changing their assignment processes to curtail AI use. We have two versions of written assignments - the first to be written by hand in class with just a Swedish-Swedish word book available, and the second version to be typed at home implementing the professor's corrections from v1.

At least in this course students seem to be taking their strict 'no AI' policy quite seriously. Then again this is also the kind of course you do when you want to actually learn the material. It provides a qualification for further higher education in Swedish, so if we don't legitimately learn the stuff there's just no point as we won't manage in future courses.

▲bambax 2 hours ago | parent | prev | next [-]

There is indeed no point in grading home assignments anymore, but why not randomly ask a student at the start of each class to present their solution on the board?

And do a final exam on oen and paper and nothing else, and an exam that relies more on thinking than rote memorization of formulas (or print the relevant parts of the course on the exam document itself).

▲someothherguyy 2 hours ago | parent [-]

there probably is no time for 100 students to each do that in a university mathematics lecture, but there are probably ways to make sure students are still learning by restructuring the university into mandatory recitation and labs or something

▲Aeolun an hour ago | parent [-]

Having two random people picked each time might cause all of them to at least pay attention.

▲MaxBarraclough 22 minutes ago | parent | prev | next [-]

> Many of them just dumped the document into an LLM, asked it to produce some "exam guide", and showed up with that thing printed out, asking me during the test to explain what LLM output meant.

That student presumably performed poorly on the test. Your approach is working as intended here, isn't it?

Also, is the AI-generated exam guide all that different to a human-written guide they could have downloaded a decade ago?

▲fhd2 an hour ago | parent | prev | next [-]

That sounds pretty frustrating. I wonder if it wouldn't be a good approach to, say:

1. Make the exam the only thing that determines the grade (or technically, proves that the student learned enough);

2. Give out test assignments students can do, but don't have to;

3. Offer students for the professor to grade their work if they want to get some feedback on how they're doing.

Would that lead to less time wasted by tutors grading AI generated answers? From where I stand, students should be allowed to prepare for exams any way they like, with or without their professor's help. If they managed to learn, they pass.

▲michaelt 37 minutes ago | parent [-]

When I was in engineering school ~20 years ago, some lecturers openly said that they gave the assignments just enough credit to be worth doing. Something like 10-15% of your final grade would be from assignments, the rest from the exam. So we didn't blow off the assignments to go drinking.

Of course, this a lot easier for some subjects than others. Subjects like Film Studies relied on exams much less, and assignments much more.

▲darreninthenet an hour ago | parent | prev | next [-]

Put a mixture of questions in that are impossible to answer but don't tell them, and as usual give them marks for explaining their working. Tell them you've devised the questions so some are "AI resistant" but don't tell them how. They'll never know if the AI has tripped up and hallucinated or given them the right answer. Only those that really understand what's going on will set out some working that shows they were on the right route and then got stuck where they were supposed to.

▲adrianN 9 minutes ago | parent [-]

That will either lead to students becoming frustrated after spending inordinate amounts of time on the unsolvable problem or students giving up too early on the solvable problems.

▲satvikpendem 2 hours ago | parent | prev | next [-]

Just don't make it open note then? Or you provide the only notes or cheat sheet available to them at the start of each test. That's what some math tests I've had had done before and I believe the SAT also does the same thing with formulas in the back of the test to reference.

▲armchairhacker 39 minutes ago | parent | prev | next [-]

> such a waste of time to check and grade LLM output

Small nitpick: you teach math, why don't you use an automated grader?

I agree homework should be optional and your college is wrong. Even without AI, for some students it's easy to cheat and maybe for some students it's a waste of time. Maybe you can assign it a very low score, like 5% of the final grade, and/or award the grade based on attempting rather than getting the right answer.

▲anal_reactor 27 minutes ago | parent [-]

> why don't you use an automated grader?

LLM verifies output of another LLM. The circle is complete, and nobody has any doubts that this is just a theatre.

With manual grading, that one student who genuinely tries still has a chance to meaningfully engage.

▲throw93038383 3 hours ago | parent | prev | next [-]

> I've tried to explain to my students that it's in their interest

Perhaps some people do not belong at university? It is just a waste of everyone time, to insist 50% of population studies until 25 years old.

▲MattPalmer1086 an hour ago | parent | next [-]

25? At least in the UK, most degrees are 3 years long and most people start when they are 18.

▲ant6n 2 hours ago | parent | prev | next [-]

It's like we're putting everybody on crack and then say they're too weak if they become addicted.

▲Hendrikto an hour ago | parent [-]

If you do not want to learn, and take every shortcut available to avoid it, university might not be the path for you.

▲fr2029 3 hours ago | parent | prev [-]

[dead]

▲fartfeatures 2 hours ago | parent | prev [-]

I've always wanted to find out if this would work:

If I knew most of my students were using LLMs I would encourage the rest of them to use them too. I would then change the marking criteria such that if they get a single point wrong that's 20% off the entire grade. 5 mistakes gets you a big fat zero.

LLMs are great but they make mistakes. At this point your students would have had to spend so long checking, re-checking and triple checking the LLM's output that they will have accidentally learn what they need to. They will likely need to cross-reference multiple LLMs and at least have read their output which is likely an upgrade on today.

Or some variation of the above, I'd be interested to hear your thoughts.

▲foresterre an hour ago | parent | next [-]

This sounds like it would come at the cost of the honest students who don't want to use LLM's and train their own understanding.

Reviewing is just not the same as working through a problem yourself. You often can take shortcuts when checking answers for correctness, which generation (with mind or LLM) of the solution can't take. This isn't limited to Math but equally true for programming and many other skills.

▲fartfeatures an hour ago | parent [-]

I'd push back slightly on this: I spend more of my time reading / reviewing code than writing it yet I still find reading / reviewing code much more mentally demanding. I don't think I'm alone in that.

The people that do their own work would be at a huge advantage as the LLM(s) can work as reviewers instead of doing the work so there is more chance of catching a mistake before you lose 20%.

On top of that there will be some issues where the LLM is just plain wrong. Being able to work out when that is the case is a hugely useful skill in 2026. It is also something the people who blindly feed their work into an LLM and print its answer without reading it will be unable to discover. Much to their own detriment.

▲foresterre an hour ago | parent [-]

I'm not trying to suggest that reviewing (code) can't feel (more) mentally demanding. The thing with at least reviews is that if you have worked through the problem yourself, you will also hit certain walls where stuff didn't work or wasn't as beautiful as you wanted (ie trial and error), and you have to activate your brain to think of other solutions, ie really think a problem through multiple times with active feedback. As a reviewer you don't get the active feedback usually.

Now this i think applies in lesser degree to the comment I was replying to. With maths, and some comp sci problems, you often can check an answer much faster than actually solving it, eg by using simple substitution for simple math problems. That is a useful skill, but a different one from solving the problem yourself. It employs different types of skills.

▲fartfeatures an hour ago | parent [-]

I think you might be letting perfect be the enemy of good here. Right now some students are using an LLM to do all of their work. I don't suggest for a moment my method is perfect but I do claim it could be better than the status quo (or at least warrants further investigation in my opinion).

▲thow88737363667 32 minutes ago | parent | prev [-]

What you would grade with that approach is how well your students can operate a LLM as well as the failure rate of whatever LLM infrastructure the individual student is using. This is usually not the goal of your educational format and hence not what you would grade for - apart from some (meta-)skill courses offered by uni libraries and the like. Those are mostly ungraded, though.

▲fartfeatures 18 minutes ago | parent [-]

Anyone that knows the subject matter well enough will spot the LLMs mistakes and correct them. If you don't know the subject matter well enough to spot a mistake then you don't know the subject matter well enough.