ask their students to write things in class and get a feeling for what those individual students are capable of. Then those that turn in essays written at 10x their normal writing level will be obvious
I think that's a flawed approach. Plenty of people simply don't perform or think well under imposed time-limited situations. I believe I can write close to 10x better with 10x the time. To be clear, I don't mean writing more, or a longer essay, given more time. Personally, the hardest part of writing is distilling your thoughts down to the most succinct, cogent and engaging text.From first-hand experience, the difference between poor stress-related performance and a total lack of knowledge is night and day.
I have personally witnessed students who could not speak or understand the simplest English, and were unable to come up with two coherent sentences in a classroom situation, but turned in graduate level essays. The difference is blindingly obvious.
Maybe someone helped them with their homework?
Professors blindly trust the computer not out of laziness, but to protect themselves from accusations of unfairness...
"The work was detected as plagiarism, but the professor overrode it for the pretty girl in class, but not for me"
2. digitize & feed to learning model, which detects that YOU are cheating.
upside: this also helps detect students who are getting help (e.g. parents)
downside: arms race as students feed their cheat-essays (memorize their essays?) into AI-detection models that are similarly trained.
That said, there's no need to consider changes in years when stylistic choices can change from one day to another depending on one's mood, recent thoughts, relationship with the teacher, etc.
That's why I've always been a little confused about how some (philologists?) treat certain ancient texts as not being written by some authors due to the text's style, as if ancient people could not significantly deviate from their usual style.
Initially I thought you meant having the student write an essay about slurs, as the AI will refuse to output anything like that. Then I realized you meant "N" as in "Number of words".
Still, that first idea might actually work; make the students write about hotwiring cars or something that's controversial enough for the AI to ban it but not controversial enough that anybody will actually care.
Why once? Most students need writing skills more than half the high-school curriculum.
Downside: it also likely detects, without differentiation, students whose writing style undergoes a major jump because of learning, which is, you know, the actual thing you are trying to promote.
Teachers don't have the time to do deep critical reasoning about each student's essay. An essay is only partially an evaluation tool.
The primary purpose of an essay is that the act of writing an essay teaches the student critical reasoning and structured thought. Essays would be an effective tool even if they weren't graded at all. Just writing them is most of the value. A big part of the reason they're graded at all is just to force students to actually write them.
The main problem with AI generated essays isn't that teachers will lose out on the ability to evaluate their students. It's that students won't do the work and learn the skills they get from doing the work itself.
It's like building a robot to do push ups for you. Not only does the teacher no longer know how many push ups you can do, you're no longer exercising your muscles.
That's our problem, I think. Education keeps failing to convince students of the need to be educated.
The value of an education is much less clear.
I'm saying the students are probably right.
I think companies face a similar problem when they try to introduce metrics to evalute performance, either of individual employees or of whole parts of the company, and people start focusing on gaming these metrics instead of doing what's actually beneficial to the company. One reason for that is probably that it's really hard to evalute what actually beneficiates the company, and what part you played in it.
Back to students, maybe writing that essay instead of asking GPT-3 is more beneficial in the long run, but on the other hand you're also learning to use a new tech that will keep getting better, but maybe you're not learning the "value of hard work correctly", etc etc. Evaluating what's good for you is very hard, focusing on a good grade is easier and has noticable positive results. I think getting educated is very important, but I also think no one can certainly known if learning to use AI is actually a worse thing that doing stuff "yourself".
All in all, it's a very hard problem. It's trying to see the consequences of our own actions in very complex systems. And different people work differently. For example, when I use ChatGPT or Copilot, I end up spending more time overall working, and producing way more stuff even without counting what the AI "produced", because the back and forth between me and the AI is a more natural way of working for me. In the same vein, it's easier for me to write or even think by acting out a conversation. Maybe for some people it's the exact opposite and they need to be alone with their thoughts to be more productive.
Then it’s less about the predetermined structure (5 paragraphs) and limited set of acceptable reasoning (whatever is on the rubric), and more about using creative and critical thinking to form novel and interesting perspectives.
I feel like this is what a lot of universities and companies currently claim they want from HS and college grads.
So I invite them to use chatGPT or whatever they like to help generate ideas, think things out, or learn more. The caveat is that they have to submit their chat transcript along with the final product; they have to show their work.
I don't teach any high-stakes courses, so this won't work for everyone. But educators are deluded if they think anyone is served by pretending that (A) this doesn't/shouldn't exist, and that (B) this and its successors are going away.
All of this stuff is going to change so much. It might be a bigger deal than the Internet. Time will tell.
Or have a session on how to write the prompts to generate the good stuff. In the hands of a skilled liberal artist, the models produce amazing results.
Yes the tool is powerful, but it still requires skills, knowledge and an ascetic voice.
And then, there is the problem that those complex prompts might also become automatable when GPT-4 or GPT-5 is released.
While I already knew what you have described, I love this analogy, it's really spot on.
Projection much? Who are you speaking for? What countries, what states?
It's difficult to dive in that deep into someone's essay in any case. That's the challenge, not the lacking quality of one's education system.
Edit. I sometimes tell my students “if you’re going to cheat, don’t give yourself a perfect score, especially if you’ve failed the first exam. It fires off alarm bells.”
But the students who struggle usually can’t calibrate a non-suspicious performance.
I guess the same applies here.
Unfortunately, the software industry also has plenty of literal tools who are far too trusting of what the computer says (or authority in general, but that's another rant...)
This is the part that needs to be addressed the most. Teachers can't offload their critical reasoning to the computer. They should ask their students to write things in class and get a feeling for what those individual students are capable of. Then those that turn in essays written at 10x their normal writing level will be obvious, without the use of any automated cheat detectors.
I was once accused of cheating by a computer; my friend and I both turned in assignments that used do-while loops, which the computer thought was so statistically unlikely that we surely must have worked together on the assignment. But the explanation was straight forward; I had been evangelizing the aesthetic virtue of do-while loops to anybody that would listen to me, and my friend had been persuaded. Thankfully the professor understood this once he compared the two submissions himself and realized we didn't even use the do-while loop in the same part of the program. There was almost no similarity between the two submissions besides the statistically unlikely but completely innocuous use of do-while loops. It's a good thing my professor used common sense instead of blindly trusting the computer.