And this grayness and sameness is what happens when people are forced to "think" as a chorus, either by the authorities or their censorship, or voluntarily by using the same AI's help.
Calculators are uncontroversial now. But when they first became cheap and widely available, they were not allowed in math classes. Then only four function calculators, then graphing calculators. But still today, programmable calculators are prohibited in many academic contexts.
"When will I use this in real life" is a declaration that you have no expectations of learning the next lesson that builds upon this one.
I hadn’t yet learned to program back when I was still using a feature phone, but I have a lot of fond memories of J2ME applications that I installed on my phones. Mostly games, of course.
I encourage anyone that wrote J2ME games and utilities, no matter how small or big, to upload the source to GitHub :)
But normally it depends on the subject and if the automation/machine solves the primary skill being teached or if its just a "secondary/tertiary" skill. Are you in a Calculus 101 class? Calculators like TI-89 are likely to be prohibited when examining for deriving analytical solutions for derivatives and integrals.
Statistics, Physics or any other subjects that needs applied maths? Such a calculator is probably a minimum requirement to take the course.
I vaguely remember thinking that one likely reason shortcuts like mine were not prohibited was because no one in charge suspected that such things were even possible with current technology, or if they were, that a child would be able to exploit it. But as long as I kept to the letter of the rules, I considered myself ethically in the clear.
Yeah, totally, just to be clear I'm not judging.
In fact, if you programmed it to handle those operations, one could argue you had already learned a big chunk of what was going to be measured in the exams.
Kind of similar to the paradox of creating and using cheat sheets, is highly likely you're accidentally learning about the subject matter in the process of writing the sheet, sometimes up to a point where the cheat sheet is not necessary anymore.
The problem is (example from mathematics): even if you are capable of deriving some formula (you thus understood the topic well), it takes a lot of time in the exam. Looking at the cheat sheet is much faster - in particular when the time is somewhat precious in the exam.
The other thing it was awesome for was solving systems of linear equations. I could do the nodal or loop analysis just fine, I'd write down the matrix that represented the system of equations and then just punch that matrix in and invert it.
Edit: Automate in the sense of coding it myself, not in the sense of downloading some software.
> Calculators are uncontroversial now. But when they first became cheap and widely available, they were not allowed in math classes.
The author of TFA means specifically for his cohort of students, not in general. He polled his students, and the result was that they thought calculators weren't seen as unethical but they were more skeptical/uncertain about AI. By his current students, now, not in general.
The equivalent in maths would be if you handed students a theorem prover or have Wolfram Alpha give you step-by-step solutions and obviously nobody to this day allows this, because like ChatGPT for writing it'd defeat the point, that students think.
When I was in uni we were allowed basic but not programmable calculators during exams and a lot of CS classes even were pen&paper, if the prof was a bit hardcore
In grade 2 i had a teacher who would say "I don't believe in erasers", you know, the things that "undo" pencil. As a ~6 yr old i actually didn't understand this phrase: "Well I have one, they're real!"
A first grader probably would be prohibited from using any kind of calculator on arithmetic tests, 4-fn or not. But 8th graders are usually permitted scientific (non-programmable) calculators.
As you go up in grade level, you "get access to" calculators capable of functionality at the level below you. Because the point is that when we're educating students we want them to actually learn the subject matter, but once we've deemed them to have understood it and we have them move onto the next goal, we give them the tools to make that prior goal easier. We lessen the burden of the little mechanical concepts they already know so that they have an easier time becoming familiar with the next more advanced concepts.
AI systems are so much more advanced than what's capable on a TI programmable calculator. It's hard to draw clean boundaries around the tiers and enforce them by telling the model "help the user with tasks of tier 1-4 but not 5+". That's the issue, that it's really infeasible to strictly use them strictly as learning tools. You can almost do it with a lot of self-discipline and self-reflection to analyze your own workflow, but it's not generalizable across domains.
Yes, they are uncontroversially bad. Schools that don't use them have higher scores.
Unfortunately, even SAT/ACT have calculator slop now.
It didn't.
I was in math class when calculators were introduced. At least for high school level and beyond, the curricula were designed to make problems solvable without calculators, and they weren't of much use. This was still the case when I taught an undergrad college math class in 1997. Graphing calculators were allowed, and the kids who tried to use them just screwed themselves up.
I would have gladly changed the curriculum to use calculators and computers from the very beginning. As tools, and not just to administer the same old exercises and quizzes. Give them Jupyter Notebook. Math education has never been a success story.
Education faces a dilemma, which is that it has always used heuristics to guide study and assess performance. Exercises such as the "three paragraph essay" had no use in the real world, even long before AI could generate them on demand. When one of those heuristics is broken, another one has to be found. Even word processing forced teachers to grade papers on content, rather than mechanics.
Yeah. Overcommitted to partying and skipping class.
Has this author ever been to an average American university?
Between work and school and other responsibilities they have no time to decompress so they burn out
I went to about the cheapest US school that had a decent math program. It costs $17,500/yr between tuition, rent, books, and rice and beans.
That's a lot of money. It's over $10/hr in pre-tax income, even if you work full-time all year, which isn't an easy bar to clear in the sort of towns with cheaper universities. Wages don't scale well enough with more expensive tuition for there to be substantially better options.
Classes are another 22+ hours each week (you could complete school in 3-4 yrs instead, but that makes it even harder to afford and doesn't really reduce the workload enough to make a difference, however I'll also factor in a 15-hour workload later).
The rule of thumb is that you should study 3 hours for every hour of class. I found that approximately correct. Some classes took a lot less. Some took a little more. Combined with the self study you need in adjacent topics, 3hrs is a fair bit low.
During the school year then, you have something that looks like a 128hr/week schedule, or 100hr if you're finishing in 4yrs, and still 60hr/week even if you're finishing in 4yrs and racking up $70k in debt.
Don't get me wrong; I had free time (I worked more during the summer, less during the school year, allowing loans to cover the slack, which bought extra time here and there), but it wasn't exactly a party either. When I skipped class it was because I had to work, had to study for some other more pressing class, or found it more efficient to study the book than to try to understand that particular lecturer.
But I read an article recently about the death of partying in the USA: https://news.ycombinator.com/item?id=44514550
Tangentially: I've helped out some college students with mentoring and advice from time to time. One common theme I've noticed is that their class load virtually doesn't matter. They find ways to run out of time no matter how much free time they start with.
We all like to imagine the poor, overburdened college student working 2 jobs and attending classes to make ends meet when reading statements like that. But to be completely honest, the students like that usually have their time management on point. The hardest ones to coach were the students who had no real responsibilities outside of classes, yet who found their free time slipping through their fingers no matter what they did.
Among all of the other problems with easy AI cheating, I wonder how much the availability of these tools will encourage even more procrastination. Feeling like you always have the fallback option of having ChatGPT write the homework for you leaves the door open to procrastinating even longer
> I asked my students to complete a baseline survey registering their agreement with several statements, including “It is unethical to use a calculator in a math class”
Unless there was more to this survey, this wording seems misleading. In a college-level math class, using a calculator is a common expectation depending on the type of class and the problem. The students would probably think of their TI-89, not a magical AI calculator that could solve every freeform problem for them.
I write at about 1200 words per day and I considered each fo the major multi-week assignments in my entry-level English courses to be worth no more than one day of my time apiece. For the finals, I gave them two days apiece, because I wanted an extra day to define the scaffolding for my argument.
My mother indicates that this is how she went through college too; very occasionally, a serious paper would require more effort than this, but for the most part it was “load assignment into brain, study assignment mentally until T-2d, write assignment, submit”. If several essays are due, then they have to be staged at various days numbered T-2d through T-5d for example — and it’s really important to not depend on T-1d existing at all due to courseware/internet/power outages.
I could technically write a worse essay the day it was assigned, but ultimately, I’m turning in A-tier work by this method. The hardest lesson was that I have to try not to wait until T-1d, because there’s a lot of risk encoded in that and it outweighs the value derived from having an extra day to think about it while I do other things.
But it wasn’t about “free time slipping away” — it’s just that I’m writing crap throwaway work that doesn’t matter after it’s done, and so I can barely motivate to care relative to literally anything else in my life that matters. Thus the T-2d compromise: I’m not about to give them precedence over literally anything, but I will concede that I do need to do so one day early, however boring it feels, because I’d rather have a crap day at T-2d than the same crap day at T-1d with the unproductive anxiety of risking a class-retake if my internet drops out.
Notably, when I actually genuinely care about what I’m writing, I’ll spend weeks researching sources and studying arguments and selecting quotes and then assembling it all over a couple days into a work of art — but assembly day is still always as late as possible in the time window assigned, because by then I’m most able to think and write about it efficiently and with a minimum of frustration. Not a zero of frustration, that is — I am a grouchy writer — but I’m healthy-grouchy on T-2d and bitter-grouchy on T-1d, so I do make the effort to put in my writing that day early now.
So: for your coaching efforts, try working with students to construct a working calendar that has non-writing activities in the leadup and then writing activities at the end. ie assuming a 7-day window,
T-7d: Assignment given: Read the assignment. (Seems obvious; is not obvious!)
T-6d: Think about your argument during your free time, while playing games or out at coffee or whatever.
T-5d: Try to construct a very halfass outline on a piece of paper. One sentence per argument you’d like to make, draw arrows to rearrange them. Not complete sentences, not punctuated, doesn’t have any structure at all. Point is that trying will help brain coalesce.
T-4d: Research references for fun. End up with far too many. Start highlighting quotes to yourself using highlighter or digital tools. If you’re going to experiment with a new tool, get it working and productive in 2 hours or discard it and do something shittier.
T-3d: Bind quotes to your argument phrases from that halfass outline. This may force reorg of outline; cool. Compile Works Cited from whatever you end up using so that you don’t have to fuck around with it tomorrow.
T-2d: Write paper, referring to outline / phrases handwritten note. Do one paragraph at a time. Plan to spend your entire day on this with 1 hour away from desk handling bio/sanity needs for every 2 hours at desk. Enforce that upon yourself.
T-1d: Finish whatever writing you didn’t feel like you were prepared to write on T-2d. Ideally try to do this earlier in the day than later, since that every hour you let this slip towards midnight l measurably increases your chances of a life outage causing you to fail the class.
The point of this schedule is to bake in the daydreaming / slow cooker aspect of the creative process but to keep it on the rails. I play video games extensively when I’m thinking about a paper because I can feed my literary brain the assignment to simmer and then go occupy my reflex brain with the game. I usually end up having to use some T-1d time but I’m getting better at managing my life’s dependencies ie. Food and Water and Sleep so that I’m more reliably at T-2d completion :)
[...] I expected them to laugh, but they sat in silence. When they did finally speak, I am happy to say that it bothered them. They didn’t like hearing how their AI-generated submissions, in which they’d clearly felt some personal stake, amounted to a big bowl of bland, flavorless word salad.
But that's what it has been trained on - almost all academic writing is bland flavorless word salad, and this is extremely noticeable in title fads. I have a nearly decade-long game running with my friend where me make up absolutely bullshit concepts that could nevertheless be plausibly published in a journal, and the process has been going on long before that.
'Verbing the noun: towards a genericization theory of expressivity in high-entropy counter-heterogeneity' describes an ongoing problem in academic writing where novelty is deprioritized in favor of acceptability by an evermore tightly circumscribed set of peer professionals whose socioeconomic interests favor the establishment of intellectual stasis that maximally conserves positionality in a quais-Simmelian network space parameterized by income, tenure proximity, and citation count.
Or put more clearly, the more academics write to impress each other instead of to reach the public, the more generic their titles and language will be. Being able to parse and regurgitate wordy titles and abstracts constitutes table stakes in academia, so the incentives tilt toward burying the lede any original proposals as deeply as possible so as the minimize the career-damaging possibility of rejection on technical/syntactical grounds.
LeftHandPath•2d ago
English teachers seem especially prone to that friendly and sporting demeanor the author has. Professors from the engineering schools are far more prescriptive, probably due to the nature of the material.
resource_waste•1h ago
Since discovering Analytical Philosophy, I think it is irresponsible to combine Nonfiction and fiction under the term 'English'.
As an engineer, I write emails, they need to be clear, factual, etc... This is in huge contrast with fiction, where writers get merit for being intentionally ambiguous with things like metaphors and symbolism.
What an incredible disservice to students and society to consider English(nonfiction) an 'art'. It should be treated like math and science.
I had to become a middle aged adult and learn this for myself.
thaumasiotes•1h ago
Rhetoric is valuable in any writing endeavor; clarity is only valuable sometimes.
aquariusDue•56m ago
Though a few years ago when I searched for a book on rhetoric and making convincing arguments Office Of Assertion by Scott Crider also popped up, but it's aimed more at written rhetoric instead of what most people have in mind.
thisoneisreal•1h ago
ElevenLathe•1h ago
DiscourseFan•1h ago
This is a cliche.
You can’t write precisely without an understanding of how language becomes imprecise, of its fundamental instability. Precision and delicate use is an accident when it does happen, and its happening can never be proven. We must have faith in the accident.
aquariusDue•1h ago
So yeah, I recommend the book to people interested in writing.