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Metacognitive laziness: Effects of generative AI on learning motivation

bera-journals.onlinelibrary.wiley.com

301–308 of 308 posts

Re: Metacognitive laziness: Effects of generative AI on learning motivation

#301

Earlier quoted context omitted.

I really think the ability to ask questions entirely free from all judgment is an under-emphasized aspect of the power of these tools. Yes, some people are intellectually secure enough to ask the "dumb" questions of other humans, but most people are not, especially to an audience of strangers. I don't think I ever once asked a question on Stack Overflow, because it was easy to see how the question I worried might be…

The other thing is that it will make an earnest attempt to answer the question. On the other hand with places like SO, many questions will be incorrectly marked as duplicate with the “answer” link pointing to a post that might seem similar at first glance but is different enough to not actually be the same, which is supremely unhelpful. You can also ask it to explain the subject like you’re 5, which might not feel ap…

Yep, this is exactly what I mean!

Personally, I find that even when it's wrong, it's often useful, in that I come away with hints toward how to follow up.

I do have concerns that people who haven't lived a couple decades of adult life prior to the existence of these tools will be a lot more credulous, to their detriment.

Re: Metacognitive laziness: Effects of generative AI on learning motivation

#302

Earlier quoted context omitted.

I recognize this problem, but I find in my own uses of ChatGPT it actually allows me to overcome my laziness rather than making it worse. I'll have a problem that I want to work on but getting started is difficult. Asking ChatGPT is almost frictionless, the next thing I know I'm working on the project, 8 hours go by and I'm done. When I get stuck on some annoying library installation, ChatGPT solves if for me so I do…

There's something magical about ChatGPT giving you a mostly-wrong answer.

AI Boosting productivity by building an artificial general intelligence that is wrong on the internet (AGITIWOTI)

Re: Metacognitive laziness: Effects of generative AI on learning motivation

#303

Earlier quoted context omitted.

We have accounts from the ancient Greeks of the old-school's attitude towards writing. In the deep past, they maintained an oral tradition, and scholars were expected to memorize everything. They saw writing/reading as a crutch that was ruining the youth's memory. We stand now at the edge of a new epoch, reading now being replaced by AI retrieval. There is concern that AI is a crutch, the youth will be weakened. My o…

SOCRATES: Do you know how you can speak or act about rhetoric in a manner which will be acceptable to God? PHAEDRUS: No, indeed. Do you? SOCRATES: I have heard a tradition of the ancients, whether true or not they only know; although if we had found the truth ourselves, do you think that we should care much about the opinions of men? PHAEDRUS: Your question needs no answer; but I wish that you would tell me what you…

they will appear to be omniscient and will generally know nothing

Sounds like a rather accurate description of a LLM.

Re: Metacognitive laziness: Effects of generative AI on learning motivation

#304

Earlier quoted context omitted.

I hope they're literate to understand we're only reading about that alleged exchange because Plato wrote it down. Median literacy in the US is famously somewhere around the 6th grade level, so it's unlikely most of the population is much troubled by the thoughts of Plato.

I’d be really curious to see metrics on literacy broken down by other criteria. What’s the median literacy of people who are “like me”?

I looked up those stats. First of all, it is literacy in 'English'. A good portion of the country does not speak English at home. Second, it was assessed in 2003, and a disproportionate amount of those with 'below basic' prose literacy were over age 65 at the time. The assessment before was done in 1992 and there was an a marked increase in quantitative literacy between the two.

* https://nces.ed.gov/naal/kf_demographics.asp

Re: Metacognitive laziness: Effects of generative AI on learning motivation

#305

Earlier quoted context omitted.

I've found that whatever powers Kagi.com's answer seems to be pretty accurate. It cites articles and other sources. Trying a share link, hope it works: https://kagi.com/search?q=what+factors+affect+the+freezing+p...

What powers it is Kagi Search :) All chatbots have access to similar models, what distinguishes the answer quality is/will be the quality of search results fed to them.

Excellent! :)

I'm really happy about being able to share Kagi results. It's allowed me to slip Kagi into a few discussions to raise awareness. Also, being on bluesky helps because so many folks complain about google but they're not aware of better options.

One thing I wanted to raise: please keep the Kagi homepage as light as possible. It's tempting to keep adding little things and over time you get a big mess.

Re: Metacognitive laziness: Effects of generative AI on learning motivation

#306
post #288

Earlier quoted context omitted.

Retric referred to "total computing power". A horse has trillions of cells, and even one of those cells is doing more biochemical day-to-day computation than your car's automatic transmission does electronically or mechanically.

It feels like maybe you didn’t read what I said, or understand it. A car was never an example of its own intelligence. It was an example of our natural human intelligence’s & our growing cultural knowledge’s impact on horses. How much have horses progressed. Math yet? More computation doesn’t necessarily mean more intelligence. Horses are smart creatures, I ride one. He is my friend. But they are not us, not our join…

Your talking as if horses and humans were infinitely far apart, when it’s a lot closer than that, maybe ten million generations. (Assuming the paleontological record is accurate)

Re: Metacognitive laziness: Effects of generative AI on learning motivation

#307
post #289

1. Socrates criticized writing itself: in Plato's Phaedrus he said it would "create forgetfulness in the learners' souls, because they will not use their memories" (274e-275b) 2. Leonard Euler criticized the use of logarithm tables in calculating: in his 1748 "Introductio in analysin infinitorum" he insisted on deriving logarithms from first principles 3. William Thomson (Lord Kelvin) initially dismissed mechanical c…

what was your prompt?

The initial prompt was:

Write a out a list of statements about how each generation thinks the next is lazy because they have it easy. For example, people who had to memorize trig or log tables would think those who had books to refer to were lazy. Those who used slide rules thought calculator-users were lazy. People who plowed with a horse thought early tractors were cheating. etc. etc. List as many examples as you can up to 50, leaning toward the mental rather than physical, but including both, and give specifics rather than generalities. My examples above are at the edge of what's acceptable; try to do better than I did.

That got me a bunch of abstractions like: "Librarians who memorized the Dewey Decimal System dismissed those who used card catalogs"

So I replied:

Sorry, I should have been clearer: this should be real-world examples, with cites if possible. As one example, your point about photographers is no good unless some specific manual photographer actually said something about light meter users -- e.g. "Ansel Adams once said that..." and it needs to be not-made-up.

That got me the first three. After I confirmed that those were good I got 4-8. I followed that with:

more please. it's okay to add in a few "XYZ is supposed to have said that..." as long as they aren't completely made up, and they are in the minority.

That got me the rest.

Re: Metacognitive laziness: Effects of generative AI on learning motivation

#308

Earlier quoted context omitted.

It's because Wikipedia is non-profit, and has very strict editorial control. YouTube and Instagram is the opposite in both.

The editorial fairness of Wikipedia is currently hotly debated.

By whom?
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