Do we really understand what AI is and is not? For example we all know AI can hallucinate, but how does that knowledge help us in practice? If I'm leaning something new I would have to fact check everything which would take about as much time as learning from verified sources.
> Teaching our kids how to leverage AI is something parents should invest in. Its part of a broader education landscape.
The same was said for laptops and tablets. Now there is a push to remove them from the curriculum. Having them meant the students didn't retain anything because they were distracting. I feel using AI in place of pedagogy will have similar results. Why bother learning to retain any information when AI knows everything and can recall it in a split second.
This is a real question though. One I've been asking since the early 00s. Learning means something different than it did in decades previous. Merely remembering easy to look up facts is not the slam dunk it used to be.
It had its place in the 80s when looking up involved at least finding the right book. But that time was already on the way out in the 00s. My impression was more that education likes to ask for facts because they are easy to test for.
What you really want to teach are concepts and broad strokes. Nobody needs to know on which weekday the Soviet Union collapsed, but an understanding of the causes of the collapse is useful. Similarly, you don't need to know the speed of light to more than one digit of precision, but knowing the role of the speed of light as the speed at which information can travel through space is useful
That kind of knowledge also continues being useful in the age of AI. It allows you to see the connections in the world, and know which questions you even have to ask
For every fact you learn there is a necessary context and numerous exceptions when it's applied in other contexts. If you expect AI to spit all relevant facts at you every time you're clueless, you will have no idea when AI is wrong or lying. You will have to trust everything AI (or its owner) tells you.
It's not just math either. Try to be an electrician without memorizing the basic principles of electricity and how they interact. You're going to have a bad time.
By induction we can see how this scales upwards, basically infinitely, to higher and higher levels of thinking.
AI can really help the outcome part (by just doing it for you), so for better or worse I see that delinkage continuing.
People who bother to actually learn while using AI will have an edge on those shovel slop, but there’s clearly a difference from previous eras.
You can argue the same about humans. Growing up, I definitely did encounter people who charged money for tutoring and never taught anything - they just gave the answers. Wasted money.
As for dealing with kids whose classmates' parents help them a bit too much... I honestly don't have a solution. From my experience growing up, beyond a certain amount of help, you definitely are hampering the kid if you overhelp them. I guess I was just fortunate that none of my peers' parents cared to, so I could still be near the top of the class.
Oh, and our final scores were heavily weighted on in-class tests/exams, so even if some kid's parents did overhelp, they wouldn't do well overall.
Can you give us an example to what his looks like in your context (not necessarily you and your kids)?
> The same was said for laptops and tablets. Now there is a push to remove them from the curriculum. Having them meant the students didn't retain anything because they were distracting. I feel using AI in place of pedagogy will have similar results
Laptops, tablets, and AI are just tools. If the folks wielding these tools (or ostensibly teaching others to wield these tools) are not using a tool effectively, then we shouldn’t be surprised when the outcomes are unimpressive.
Simple example — put a hammer in the hands of a skilled builder, and you can get a deck or a house frame. Put the same hammer in my hands, and you will get nothing more than bent nails and sore thumbs.
All that said, just like I feel confident that I could learn how to use a hammer well if I took the time to learn and practice, I think students and teachers can learn to use their tools (laptops, tablets, AI, etc.) well if they take the time to learn and practice (ideally with some good scaffolding).
I struggle with this argument when the subject ("the folks") turns out to be "many people", perhaps even a majority of people. If one teacher is an outlier that uses it badly then sure, the teacher is to blame and be judged. But if a collective is using it badly, then perhaps the capability of the collective should have been evaluated before handing the tool to them.
I don't have an answer - it is bad to withhold a tool from the hands of people who will use it badly. But the overall outcome has to also count.
You won’t get any argument from me that most teachers are poorly trained. Money can largely buy someone out of that trap.
That said, just forbidding a tool that is critical in modern life just because some/many people are bad at using it does not strike me as a particularly constructive solution to the problem.
> I don't have an answer - it is bad to withhold a tool from the hands of people who will use it badly. But the overall outcome has to also count.
My “solution” to this is not a popular one. Lower expectations for public mass education.
Over the last 120 years, we have taken a curriculum that was targeted at elites and forced it onto almost everyone.
High quality education should be available and cheap or free to everyone, but I really don’t think it should be mandatory.
If we stopped compulsory education at 8th grade and replaced most high schools with some sort of other skill development program or work/study program, the expectations and outcomes would probably be better aligned.
Large parts of the tertiary education system would be gutted, but maybe that’s a good thing.
I remember growing up being told similar things about the internet and how you can't trust anything written on it. There was some truth to that, of course, but how many people will say that of search engines, despite them being filled with utter crap?
Few days ago my son was working on a problem which asked if square is a rectangle. Turns out his class teacher and external tutor (who was using AI) had different opinions on it. My wife consulted AI as well and she also came to the conclusion that square is not a rectangle cause AI told her so, AI told the same answer to external tutor. I understand that the context matters and if one probes AI more with additional context it may come up with correct answer, but this depends on the assumption that the person asking AI for something already knows the answer.
The obvious question of “is a square a rectangle?” is definitely NOT causing any LLM to say “no”.
Hallucinations are an issue but they genuinely are no longer a concern for any modern non-tiny LLM for basic facts that you would expect a K-6 course to cover. Maybe you might be able to find a few random hallucinations in knowledge covered at the high school level but I’m quite skeptical even that still happens. Yes, they can still, at times, hallucinate sources but I cannot recall the last time I actually saw this happen. I think it was at least a year ago
I don't understand how your wife interrogated the AI to be told a square is not a rectangle.
And how can two tutors disagree on this?
With the amount of blatantly false information I've seen LLMs spew out in response to my very simple questions, I can very easily imagine one would get this basic information wrong somehow, although I did just Google it (as Gemini, and particularly the on-search-result-page version of it, seem to be the absolute worst of the common models in my experience), and it did get the answer right.
https://en.wikipedia.org/wiki/Problem-based_learning
In PBL the teacher adopts a constructivist approach - supporting, guiding, and monitoring the learning process as opposed to delivering a defined curriculum via lectures or seminars.
Agentic AI is arguably a better fit for this as it can scale infinitely to monitor student progress, offer timely feedback on design choices, and adjust difficulty dynamically based on how the student interacts with the problem.
Your main contention is one I'd broadly agree with - that use of Agentic AI for tutoring abdicates intellectual agency, allowing the AI to perform the critical synthesis and analysis that the student should be doing themselves for learning to occur.
The solution, however, is clear: guardrail the AI to promote core pedagogical principles rather than replace learner cognition by mandating things like instructional friction and the strategic fading of AI support as students build competence.
As explored in the paper I link below, by balancing proactive scaffolding with necessary and beneficial cognitive challenges, AI can preserve the productive struggle essential to effective learning.
https://arxiv.org/html/2606.04543v1
(A final thought: have a look at the current field of companies who specialise in turning training materials into engaging interactive experiences for the likes of Compliance and Security training. This is a corporate field now being automated and democratised for use by the average student in Academic pursuits in an on-demand fashion. Appropriate AI tutoring is basically the same concept.)
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