1 in 4 U.S. Teachers Say AI Tools Do More Harm Than Good in K-12 Education
pewresearch.org
pewresearch.org
Some examples in past week:
1. Claude: "Why is this code failing typechecking in typescript" -> gives me detailed reasons why, teaches me about some things I didn't know about, and solves the problem for me while uplevelling my understanding,
2. Gemini: "What kind of contractor do I need to install an oven with a downdraft?" -> Tells me I need an appliance installer, and then links me to https://www.thumbtack.com/ca/san-francisco/appliance-installers and I select the 1st one.
Applying this to education, I think that education needs to pivot explicitly to "solving problems" and not education for educations sake. e.g .The student needs to be engaged with a problem and reaches for AI as a tool to solve it and, as a result, up level their understanding.If a huge mechanism for assessing folks in education is "write an essay on this" and the teacher then "grades the essay output by the student," that's almost the perfect task where AI can do both ends. Which is pretty much a sign that assessments such as this have low educational impact.
This seems like a bit too far of a leap.
When teaching math, we want students to be able to prove novel theorems. But all the open problems in mathematics are really hard, so teachers often start by getting students to practice on easier theorems that have already been proven.
In this context, something like "prove the Pythagorean Theorem" is a useful exercise and valuable assessment! You just need to make sure the student actually does it instead of copying the answer from the Internet (directly or via ChatGPT).
I don't mean to say your experience isn't possible nor a fluke. What I mean to say is, if you don't know something, ChatGPT shouldn't be your only resource, you won't know when it's wrong.
edit: words, spelling
It seems you are thinking of project-based learning. That is a great way to learn, but it only works when you have a certain level of baseline knowledge within the "zone of proximal development" to what the task requires. And even then, it does not replace other kinds of learning for developing expertise.
Think of asking a 5th grader to implement the FFT within a programming langauge of their choice. They wouldn't understand the problem, wouldn't know where to begin, and would probably learn very little. But they could still ask Claude or ChatGPT for an answer and there's a good chance it would be pretty close.
For a curious and motivated student, AI is an amplifier---similar to how you were using Claude. But most students just want to finish the task, in which case the more powerful the AI, the less the student needs to know to get a result. These students are not using the AI as a tutor or to fill in gaps in their knowledge. They are just copy-pasting the assignment into the prompt and pasting the output as the answer. That is not learning, and it can be done with projects too.
> If a huge mechanism for assessing folks in education is "write an essay on this" and the teacher then "grades the essay output by the student," that's almost the perfect task where AI can do both ends. Which is pretty much a sign that assessments such as this have low educational impact.
Not at all. It's a sign that AI can do the task.
When you go and ask it for some assembly code ChatGPT will happily mix Intel and ARM instructions.
And if you don't have a frame of reference you can spend quite a big amount of time figuring out what is wrong.
It was an absolute waste of my time. I quite like it when I need to get some piece of weird information out of it about the Python standard library or whatever but whenever I try to get it to do anything useful with code it fumbles the bag so hard.
Disagree here. AI can be (theoretically) trained to do any tasks with which it has an IO interface to perform the task. The same goes for humans, they can't inherently prove they "know" the information, they have to show it, via an IO interface (their hands/voice).
As such, any metric for proving human knowledge could be gamed by AI, assuming an environment where AI could be used (i.e. at home). The only places where AI can be controlled is in the classroom, like during exams or in-person activities.
So to conclude activity X has "low impact" because AI can do it, implies that all education at home has low impact, because AI could do it (through a human performing verbatim what it instructs, ignoring any explanation the AI might give).
Now, it is so much easier to teach programming… data analysis… design… all things that k12 is normally terrible at teaching.
As an example (not K-12!) my wife is learning Japanese. She's taking a class and the teacher gives her homework, but she also studies on her own, including doing exercises in the textbooks beyond the ones the teacher assigns.
Sometimes she'll answer a question, look it up in the answer key, and find she got it wrong. Previously, she had to wait until the next class and find time to ask the teacher to help her understand her mistake.
But I showed her how to use the ChatGPT phone app to get an explanation right away. She doesn't even have to type it in: just take a picture of the quiz (which is all in Japanese, not English) and ask, "Why is the answer to question 7 'C' instead of 'D'?" And she gets back a detailed explanation of the differences between the two answers and why "C" is a better choice, complete with fresh example sentences and breakdowns of what they mean.
Hallucinations are a risk: she could get back a bogus explanation. So far, that hasn't happened, though. She isn't a total beginner and knows enough to be able to tell whether the explanation makes sense. Each time, her reaction has been something like, "Oh, right, I forgot about that," not, "What? Never heard of that." She also tried it on a couple of questions she'd run by her teacher previously, and got back roughly the same explanations the teacher had given her.
In theory she could just ask it for the answer rather than for an explanation of why her answer was wrong, and it would happily give her a usually-correct response. In her case, that's not a problem because her only goal is to actually learn the language. Cheating would serve no purpose at all. But for a K-12 student who mostly cares about getting a good grade, obviously that's going to be a big temptation.
My wife is an educator and we have long discussions about this. I believe lessons need to be upgraded to require AI and how to interact and prompt it for deeper meaning of more than just "Find the value of the hypotenuse". Something in the form of controlled modules?
Testing can stay exactly the same, i.e. no computers/ai, but learning has to be completely shifted.
Validation of the LLM to do such a task reliably would be large undertaking, but seems like something that might be possible in the future.
It leaves too much to subjectivity.
- It's going to be tricky for AI tutors to make an impact. Teachers are better at inspiring students to do better than computers ever will be, but for those already motivated, AI will provide a great study tool.
- Students have access to LLMs as well now, so any writing assessment will have to be timed and closely monitored, or in-class, otherwise students can easily cheat.
- Teacher-facing tools will come before student-facing tools because of the safety aspect.
We're building an AI grading assistant for teachers (https://automark.io) that helps them provide more writing feedback to students. Papers are extremely time consuming to grade and give feedback on, which is detrimental to both the teacher and the student. Giving students unlimited practice essays before the scored essay is one area where AI will really move the needle.
Grading is also one of the main shortcomings of online courses, so I'm guessing we'll see more in that area in the future where high quality courses can scale to 10k-100k+ students.
So students will be generating papers with AI and teachers grading them with AI? Maybe the real problem is education and teaching isn't innovating as fast as tech
Can't remember where but saw a comic not too long ago when an employee uses AI to generate a long email and the recipient uses AI to summarize it
Bruh. That was a GOOGLE PRESENTATION from like last year.
Of course, since it was more than two weeks ago, it’s been memory holed, but it was Google IO 2023 or something when demonstrating Bard in GSuite.
According to the article:
* 25% more harm than good
* 32% equal mix harm and good
* 35% are not sure
* 6% more good than harm
(Yes, those do not add to 100%, but 98% is close enough.)
I came here looking for a fight, but this article does not back up any use of AI in teaching.
I hope that commentators will write about SPECIFIC ideas they have for AI in education (pro or con).
Right now we are in a situation where (many of) the traditional ways we ask students to demonstrate understanding can be done by a computer.
One important worry I have is that most of the best maths students I know are good at arithmetic/mental math even though we have had replacements for that since the 70s (at least). I think that a deep understanding of the foundations allows for a better ability to abstract. If we roll over everything with an AI, are students really going develop the ability to plan (think abstractly)?
I'm not against using AI's to accomplish something, but I think there's an important piece of intellectual development that comes from fluency (without looking everything up). I know one colleague who gets great mileage out of Copilot, great understanding and great productivity. Unfortunately, there's others who are on the "faking it" end of the spectrum - definitely net negatives even when they manage to produce working code.
If you're arguing that LLM's are the future of programming, I won't disagree, but please spend a few sentences imagining how people trained in that world (not the one you trained in) might see things in very very different ways.
Well, consider (for example) the SAT. It used to have math sections both with and without a calculator. Then COVID hit, and e.g. MIT discontinued SAT altogether - now the SAT is back, but all digital and the math section is all-calculator. To me this suggests that computers have integrated into society to the point where one's ability without them is seen as irrelevant. This isn't to say that there aren't holdouts who still advocate traditional pen-and-paper testing, just that they are no longer mainstream. Similarly, I would say for programming, if the questions you are asking to determine if they understand "the foundations of programming" can be easily answered with Copilot or ChatGPT, they are probably bad questions.
As far as teaching, there has always been strong evidence that people can learn math effectively just by playing with their calculators. http://ti-researchlibrary.com/Lists/TI%20Education%20Technol... I certainly learned a few things that way. It is the same way with Copilot - you can actually learn a lot of programming just by playing with it and seeing what "real code" looks like. When you mention fluency, I think you forget how it works - first you write things, then you get used to it and become more fluent. Copilot assists greatly with that first step of learning.
Now it is true, some teachers aren't really good with the Socratic method and other techniques of fostering self-guided learning, but if it is a binary "full access / no access" I would argue full access is better, like how students can apparently use their phones to goof off in class all day without any repercussions (https://news.ycombinator.com/item?id=40495673). There are people who will misuse the access but it is not clear if they would learn anything even without access - it could be that they would just find other ways to ignore the teacher. And meanwhile the rest will benefit significantly - they can look up concepts, ask ChatGPT questions, etc.
And as far as "deep understanding" and the "ability to think and plan abstractly", barely anybody has that, that is not taught in schools. I mean sure there is the watered-down definition of "solve word problems and write essays" or whatever passes for understanding these days, but most of the kids coming out of school are nowhere near the next Einstein, even if they got straight A's. edit: maybe the ability to plan is taught in military training, it's certainly not part of a regular school curriculum.
I'd say about 25% of the teachers at my kid's school are incompetent so that kinda lines up with 1:4 saying "technology bad". It took the pandemic for the school system to come 20 years into the future technology wise and they're still at least 15 years behind.
I honestly wouldn't trust a teacher to tell me what the future should be or if something is good or bad...
I am certainly not saying Wikipedia is scripture; however, those fears -- like so many tech fears before and after -- have turned out to be baseless.
Now if you'll excuse me, I must go and dust off my Encarta CD-ROM. I want to hear what an Elephant sounded like in 1995.
I mean, we're training the AI on own work...
One week ago, Google's AI summary told me I had to drink urine to help pass kidney stones.
Teachers and professors using “AI detection” tools seem to be causing the most harm at this point.
I don’t know what else kids can do aside from stream the entire process of writing an essay on Twitch.
It wasn't much different when my kids were in high school.
My 1980s education technology was kick ass
blowmp blowmp Da-da-daah! POW! :)
Oh man, I played the heck out of that game, but somehow I keep forgetting it existed. (Unlike, say, Myst or Wing Commander.) I think I beat it, but if so I'm suspect it might have involved a lot of trial-and-error regarding math questions I wasn't ready for.
I was surprised to find that most of the best ones were remakes of the old ones (Oregon Trail) or weirdly empty and small in scope like the very simplest, early edutainment games (number munchers, say) as in the case of Dragon Box Math. The boom of ambitious, fun, and sometimes weird 90s edutainment the legacy of which I was hoping to find wasn’t there. Really weird.
But if you buy a bunch of computers or whatever and some crap software and don't execute well it's not going to go good.
(Source: like half my family is/was a teacher or school administrator)
Spoiler alert: seems the author didn’t consider realistic for an AI to do a good job as a general-purpose smart assistant for a child. Yet here we are.
Because without that context, I'd assume "harm" here is mostly qualified as "how I used to teach doesn't work any more". Not that that's invalid criticism, but it's very different from "harms education outcomes"
Superhuman means all your efforts to think critically will be overwhelmed. How exactly do most people fact check today? Take the Donald Trump guilty verdict today. Even without AI, who is thinking more critically, the Republicans who distrust the process or Democrats who welcome it?
And your friends will be turned against you by AI influencers if you dare to disagree.
I suspect this is one of them. Only expensive private education will be able to avoid regressing in quality. Public schools are already rubbing their hands with glee imagining how many teachers they can lay off or avoid hiring (there’s a staffing crisis) to give half as much money (which will slowly inflate to the same amount) to SV app vendors instead. Zero chance the first attempt at this is gonna be any good, we’re soon going to see something far more damaging than Covid was, for kids’ educations.
This is the modern equivalent of saying "keyboards hurt penmanship education."
Ironically if I had listened to my teachers more I wouldn't be peck typing as a programmer and my penmanship would be more like cursive than the chicken scratch that I currently write.
LLMs are to english class as a car would be to running class. Yes, the tool exists and is useful but it prevents you from getting the intended benefit.
That's not to say that there aren't certain repetitive tasks that can benefit from technology. But have you ever had a numerical problem on a calculator? Do you realize how often technology can lead to bad math? It happens a lot. If you blindly follow wolframalpha, you'll get things wrong. And you'll have absolutely no idea why.
Around here the school budgets are absolutely massive (in the hundreds of millions of dollars for a village), and if I were getting such free money, I would say anything to keep it flowing.
I'd guess that most teachers would welcome AI augmenting their teaching. They're already doing more than they were 1-2 decades ago in terms of dealing with parents and reporting on curriculum (e.g., Seesaw app), at least where I live. AI isn't going to take jobs in childcare, kindergarten and early primary schools any time soon. I also don't think it would do more than augment teaching in the rest of primary school or high school.
Teachers would jump on an AI that helped them summarise daily and weekly activities for broadcast to parents. That must be such a grind doing it now.
As an adult, I saw who became a teacher. It was not our best and brightest.
As an adult, I heard about the stereotype grading done by lazy teachers. "Oh that student is good, I'll give them an A and skim their paper... That student is a goof, they probably got a C since last time they got a C..."
As an adult, I see how terrible academic skills are, and how quickly a 12 year old could be a high school grad. College really should replace high school.
I don't trust their judgement here. I think its most likely laziness under the guise of concern.