The drop from 2018 to 2022 is as big as the one from 2022 to 2026, so it's not obvious whether AI had a role at all, although it's highly plausible.
I suspect the bigger culprit is the optimized monetization of human attention, because pre-algorithmic social media doesn't seem to be as destructive. The fact that science wasn't as affected as math and reading (both of which rely more on attention/practice than rote memorization) somewhat supports this.
Between 2018 and 2022, we saw the widespread adoption of social media and the rapid digitalization of education. Focusing on these key shifts, it seems clear to me that any kind of electronic learning has had a negative impact on education :p
AI, screen time, short form text/video, normalization of recreational drugs, post-truth, there's no one cause but there's lots of things that are not helping
While kids practice the skills of the 21st century, testing got stuck in the 19 hundreds.
I see kids train edge AI models, built things using coding assistants and discuss post-modern philosophy.
I see the same kids struggle to write structured interpretations of 1950s texts they have no emotional connection to.
Kids are worse in orthography, handwriting, and reading stuffy texts from front to end, but they are so much better in a plethora of skills that did not exist 20 years ago.
Seems highly plausible AI/robotics will lead a significant decline in public schooling in the near future. Kids honestly might learn better doing a few hours a day one-on-one with 2026 frontier AI than sitting in a classroom of 30 with a teacher. 2027, 2028, 2029?
Modern public education itself is industrial revolution technology. Why would it be left as-is after the intelligence revolution?
There is a very high correlation between national IQ and PISA scores. We know that IQ is declining across the world, because fertility and IQ are negatively associated. It's likely that declining IQ is a nontrivial factor for why PISA scores are declining. It is unfortunately still taboo to talk about this. Which is bad, because we can't hope to do anything about it if we don't face the truth.
This very much echoes the region of critical slowing down present in a dynamical system after its equilibrium states have disappeared due to a change in the system (a bifurcation).
A sentence isn't Orwellian just because you are unfamiliar with its terms. I though dynamical systems theory was quite common knowledge among engineers
The issue is that you're talking in abstraction and it isn't clear what the concrete thing is you're thinking of. Bluntly: you're being obscure rather than illuminating.
For instance, with respect to this article, which is about test scores, how does dynamical systems theory describe what's going on or predict consequences?
I wanted to relate the result to well known phenomena in Dynamical systems. The value of the comment is in that relationship. But I guess I can try.
After a saddle-node bifurcation (for example) a system is left with a region of critical slowing down. It can be thought of as the ghost of the fix point that used to exist in that region. Thus observing local phenomena in the system can make it look like the system is still stable while in reality it isn't.
I guess the most famous example of this is global warning. As our emissions of greenhouse gases increased during the industrial revolution, the environment still seemed stable. But in reality we had already deleted the stable point around with our planets temperature oscillated.
Society, education and white-collar work in this case. Not saying I believe this does mean the collapse of white-collar work of course. Moreso that if that was the case, the point of no return could have already been passed without us knowing.
A bifurcation is a non-continuous change to a system as a result of a continuous parameter changing.
For example the disappearance of a stable temperature of the earth due to a continuous increase in green house emissions.
In this case the change in test scores is continuous yet might still lead to the disappearance of a stable point in society like white-collar work. At the start the change might seems slow but the point of no return could have already been passed.
I'm not saying I necessarily believe that (or that I stated it with much clarity) but I thought it was interesting how it "rhymes" with dynamical system theory.
I suspect the bigger culprit is the optimized monetization of human attention, because pre-algorithmic social media doesn't seem to be as destructive. The fact that science wasn't as affected as math and reading (both of which rely more on attention/practice than rote memorization) somewhat supports this.
I see kids train edge AI models, built things using coding assistants and discuss post-modern philosophy.
I see the same kids struggle to write structured interpretations of 1950s texts they have no emotional connection to.
Kids are worse in orthography, handwriting, and reading stuffy texts from front to end, but they are so much better in a plethora of skills that did not exist 20 years ago.
Kids are worse at reading, period. Not just stuffy texts from 50 years ago, current stuff too according to the research.
The "skills" you claim they are learning have such a low barrier to entry they aren't skills at all.
Instructing a machine "make me a Foo" requires no thought.
-Everyone has screens.
-Education system broken.
-Covid disruptions
-Biological effects of Covid infections
“What has made the University of California exceptional is its commitment to increase access without sacrificing excellence.”
Go woke...
Modern public education itself is industrial revolution technology. Why would it be left as-is after the intelligence revolution?
For instance, with respect to this article, which is about test scores, how does dynamical systems theory describe what's going on or predict consequences?
> guy writes sentence slightly above 6th grade reading level
> “I can’t read this”
Uh huh.
After a saddle-node bifurcation (for example) a system is left with a region of critical slowing down. It can be thought of as the ghost of the fix point that used to exist in that region. Thus observing local phenomena in the system can make it look like the system is still stable while in reality it isn't.
I guess the most famous example of this is global warning. As our emissions of greenhouse gases increased during the industrial revolution, the environment still seemed stable. But in reality we had already deleted the stable point around with our planets temperature oscillated.
Or are you talking about another system like "society" or "civilization"? Or something else altogether?
So really it is not saying much at all.
For example the disappearance of a stable temperature of the earth due to a continuous increase in green house emissions.
In this case the change in test scores is continuous yet might still lead to the disappearance of a stable point in society like white-collar work. At the start the change might seems slow but the point of no return could have already been passed.
I'm not saying I necessarily believe that (or that I stated it with much clarity) but I thought it was interesting how it "rhymes" with dynamical system theory.