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All right, ready to dive into some AI and education?

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Always.

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Awesome.

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So today we're gonna unpack this paper,

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Beware of Metacognitive Laziness.

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Hmm, catchy title.

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Right.

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And basically see how generative AI, things like JatchiPT,

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you know, might be changing the way we learn.

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Like if you ever thought about if relying on AI,

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Oh yeah.

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Could actually make us, I don't know,

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a little mentally lazy.

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All the time, especially these days.

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Yeah, well, that's exactly what these researchers

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wanted to figure out.

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Makes sense.

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They really went for it too.

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They set up this whole experiment

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with like over a hundred university students.

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Wow, that's a lot.

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It is.

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And they gave them all these different learning tools

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to use.

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Oh, interesting.

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Yeah, for like an English writing assignment.

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So some students got JatchiPT.

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Okay.

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Others had a human expert to help them.

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And then some had, get this, a checklist tool.

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A checklist.

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A trade up checklist.

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Oh wow.

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And of course they had a control group, you know?

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No fancy help.

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So it's like a real world classroom,

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but with some AI sprinkled in.

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Exactly.

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I like it.

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But what kind of assignment were they even working on?

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So they had to read all this stuff

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about AI in education.

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Oh, so meta.

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Right, like differentiated teaching,

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scaffolding, all that.

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Yeah, yeah.

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And then they had to write an essay,

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predicting the future of education.

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Whoa, in like 2035 or so?

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2035 nailed it.

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It's a big jump.

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Yeah, it was a tough one,

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especially for students who weren't, you know,

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native English speakers.

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I bet.

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Because it wasn't just about the language,

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they had to like really think critically

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and bring all these different ideas together.

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Oh, so it was testing those higher level skills,

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not just like grammar.

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Totally.

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Cool.

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So they weren't just testing their English,

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they were looking at how they learn, you know?

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Deep stuff, right.

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And to figure that out,

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the researchers, they measured like a ton of things,

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like how motivated were the students, you know?

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What strategies did they use to learn?

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And then of course, how well they did on the essay.

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Of course.

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The classic.

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All right, let's start with that motivation piece.

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Did it, I don't know, did the type of tool

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change how much they wanted to learn?

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You'd think, right.

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Yeah.

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But actually across all the groups,

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their intrinsic motivation was pretty much the same.

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Really?

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Yeah, no matter what tool they were using,

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they were all about equally interested in the task itself.

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Interesting.

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But there's a twist.

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The group with the checklist, remember them?

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Oh yeah, the old school crew.

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Well, they actually reported the highest levels

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of interest and enjoyment.

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What?

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Yeah, and they also felt more competent

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and put in more effort.

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So are you saying a simple checklist

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might actually be more motivating than like some fancy AI?

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It's possible.

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It might be about like structure and control, you know?

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Checklists, they help us break down big, scary tasks

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into smaller steps.

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Right, right.

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And as you check things off,

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you get that feeling of progress, like boom,

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I did that.

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I totally get that.

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And that can be super motivating.

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Yeah, sometimes when I'm feeling overwhelmed,

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just making a list helps me get my head back in the game.

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Totally.

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But, okay, let's get to the juicy part.

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Did the tools affect like how they actually learned

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their process, you know?

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Yeah, that's the big question.

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Right, and that's where things get really interesting,

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especially when we look at like how they revised their essays.

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Oh, the revising part, yeah.

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So the chat GPT group,

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they were interacting with the AI constantly.

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Not stop.

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Pretty much.

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They were asking for feedback and making changes

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based on like whatever the AI told them.

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So instead of like going back to the original material,

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or thinking through their own ideas,

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they were letting chat GPT be the boss.

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That's what it looks like.

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Hmm, that's, I don't know.

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It makes you think, right?

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It does, like if we're always relying on AI to fix our work.

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Yeah.

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Are we missing out on actually learning?

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It's a valid question.

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It's like, have you ever noticed yourself,

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like debating too much on a tool?

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Maybe you don't really understand the stuff,

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but you're getting the work done.

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I feel that.

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And that's that metacognitive laziness thing, right?

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That's what the researchers are worried about.

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Exactly.

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They found that the chat GPT group,

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they actually showed fewer metacognitive processes.

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Okay, hold on.

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What does metacognitive even mean?

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So metacognition is basically thinking

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about your own thinking.

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Whoa, meta.

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Right, it's like having a conversation in your head

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about like, do I get this?

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Do I need to go back?

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Does this even make sense?

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Hmm, so like checking in with yourself.

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Yeah.

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And the chat GPT group, they weren't doing that as much.

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So they were focused on getting it done,

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but maybe not really understanding and reflecting

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on what they were learning.

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It seems that way.

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And that's what's got the researchers worried.

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Yeah, they're thinking,

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if we're always offloading our thinking to AI,

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are we skipping those like deep,

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effortful mental processes that actually make us learn?

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It's like, yeah, you can take a shortcut,

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but then you miss all the good stuff along the way.

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Exactly.

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Like we're getting things done,

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but are we actually smarter?

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That's a good question.

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Yeah, it reminds me of like GPS, you know,

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it gets us where we need to go.

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But we might not remember the route as well

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if we'd like figured it out ourselves.

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Totally.

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So in this study, they wanted to know,

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did using chat GPT actually lead to better essays?

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Like did the AI boost their performance,

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even if they weren't thinking as deeply?

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Yeah, did they ease it?

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Well, here's the thing, the chat GPT group,

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their essay scores, they actually improved significantly.

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Oh, wow.

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Yeah, and get this, they even did better

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than the group that worked with a human expert.

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Wow, okay, so maybe a little metacognitive laziness

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isn't so bad if it means better grades, right?

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Not exactly.

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Here's the catch, while they might have aced the essay,

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there was no difference in like actual knowledge gain

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or the ability to apply that knowledge

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in other situations.

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Really?

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Yeah, it seems like chat GPT helped them

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with that specific task,

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but it didn't necessarily mean they like really

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learn the stuff.

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So they could write a killer essay that fit the rubric,

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but they couldn't necessarily use that knowledge later on.

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That's what it looks like.

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Makes sense.

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Right, chat GPT's great at things with clear criteria,

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like an essay that's graded against a specific standard.

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But in situations that are less structured,

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you know, where you really need to understand the concepts

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and think for yourself, it might not be as helpful.

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This whole conversation is making me rethink

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how I use AI tools.

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Oh, right.

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It's not about like avoiding them altogether,

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but it's about using them in a smart way

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and making sure they're actually helping me learn.

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Totally.

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It's like, there's an art to using AI for learning.

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There is.

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But how do we do that?

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How do we find that balance between using AI's power

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and like keeping our own brain sharp?

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That's the million dollar question.

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And the good news is the researchers actually

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offer some practical advice on how

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to avoid that metacognitive laziness trap.

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OK.

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One of the key things they say is we need to shift our mindset

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about these tools.

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Our mindset, like how we think about them.

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Yeah.

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Instead of seeing them as like replacements

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for our own thinking, we should see them as thought partners.

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Thought partners.

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I like that.

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But how's a thought partner different from just letting

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the AI do all the work?

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Yeah, good point.

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So a thought partner, they help us explore ideas,

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challenge what we think, and see things from different angles.

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They don't just give us the answers.

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They help us figure it out ourselves.

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Like brainstorming with a colleague

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or, I don't know, having a debate with a friend.

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So instead of asking chat GPT to write my essay,

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I should use it to help me brainstorm or get

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feedback on specific parts.

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That's the idea.

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And instead of asking for the finished product,

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break it down into smaller steps and use chat GPT along the way.

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OK.

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So let's say I'm writing that essay about the future

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of education.

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Yeah.

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I could start by asking chat GPT to summarize

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the main points in the articles.

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That's a great idea.

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Instead of just reading and hoping it sticks,

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using chat GPT to pull out those key ideas can help you focus.

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Yeah, that would totally help.

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And then you could even ask chat GPT to help you brainstorm

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different arguments.

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Oh, interesting.

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So you're not letting the AI do the thinking for you.

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But you're using it to help you think more broadly.

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It's like having a debate partner,

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but one that's available 24-7.

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There you go.

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And then once you've got a draft, instead of just saying,

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hey, fix this, you could ask for specific feedback.

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Like, is my argument clear?

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Is this well organized?

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So I'm staying involved.

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Yeah.

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You're not just blindly accepting whatever the AI says.

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I'm starting to see that using AI for learning

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is way more nuanced than I thought.

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It is.

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It's not just about typing in a prompt and getting an answer.

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Nope, there's definitely an art to it.

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And it's an art that requires us to be aware of how

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we're using these tools and how they might be, like,

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affecting our own thinking.

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It all comes back to that.

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But don't worry.

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There are more practical strategies

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we can use to make sure we're getting the most out of AI

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without, you know, becoming zombies.

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Definitely.

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We'll dive into those after a quick break.

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All right.

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So we talked about shifting our mindset and using AI

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as, like, a thought partner.

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Yeah.

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Yeah.

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But what else can we do, you know,

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to make sure we're not turning into, like, AI-dependent

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zombies?

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So the researchers really emphasize two more things.

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Setting clear goals.

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OK.

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And actively monitoring our understanding as we go.

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So before I even open chat, GPT, I got to ask myself,

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hold up, what am I actually trying to learn here?

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Exactly, like, what's the point of all this?

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What do you want to get out of this task?

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Mm, makes sense.

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What are the key concepts or skills, you know,

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that you're hoping to develop?

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Because it's easy to get, like, distracted

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by all the shiny AI tools.

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Oh, yeah.

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And forget what we're actually supposed to be learning.

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Totally.

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Sometimes I get so caught up in, like, playing with the tool

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that I forget why I even started using it in the first place.

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Happens to the best of us.

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So is that being, like, intentional, right?

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Being proactive, planning out your learning,

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instead of just, you know, passively following

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whatever the AI suggests.

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Right, right.

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But what about that monitoring thing?

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What does that even mean?

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So monitoring is all about checking in with yourself

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as you go.

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Like, am I really getting this?

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Do I need to go back and look at something again?

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Am I just memorizing facts?

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Or am I actually understanding, like, the bigger picture?

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It's like that inner dialogue, that metacognitive awareness

324
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Exactly.

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It's about being aware of your own learning process.

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But how do I actually do that?

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It's so easy to just, like, breeze through a task

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and think I'm learning when I might just

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be, you know, skimming the surface.

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A good trick is to, like, pause every so often

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and try to explain the concept to yourself.

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To myself.

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00:10:50,320 --> 00:10:52,440
Yeah, as if you were teaching it to someone else.

334
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Oh, interesting.

335
00:10:53,200 --> 00:10:55,000
Can you say it in your own words?

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Can you connect it to other things you know?

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If not, that might be a sign that you need to, like,

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go back and study more.

339
00:11:02,400 --> 00:11:03,720
That's actually really helpful.

340
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I'm going to try that.

341
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Give it a shot.

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And this whole thing about monitoring and metacognition,

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it really highlights the importance of, like,

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evaluation, doesn't it?

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Absolutely.

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And it's something we should be doing, both during and after

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we use AI.

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So during the process, ask yourself,

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does this feedback from the AI even make sense?

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Does it fit with what I'm trying to do?

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Are there any limitations I need to be aware of?

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So I shouldn't just take the AI's word for it.

353
00:11:29,640 --> 00:11:30,320
Exactly.

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Don't be afraid to question it.

355
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It's a tool, not a magic eight ball.

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I like that.

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And then after you're done with the task,

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take a minute to reflect on the whole experience.

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Like a debrief.

360
00:11:39,840 --> 00:11:40,640
Yeah.

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Did the AI actually help you learn?

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00:11:43,680 --> 00:11:44,720
What were the challenges?

363
00:11:44,720 --> 00:11:46,720
What would you change next time?

364
00:11:46,720 --> 00:11:48,600
This is giving me such a better framework

365
00:11:48,600 --> 00:11:50,360
for using AI in my learning.

366
00:11:50,360 --> 00:11:51,240
Glad to hear it.

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00:11:51,240 --> 00:11:52,960
It's not about saying no to these tools,

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but about using them in a smart and thoughtful way.

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00:11:56,240 --> 00:11:57,800
Couldn't have said it better myself.

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00:11:57,800 --> 00:12:00,440
AI has so much potential to change how we learn.

371
00:12:00,440 --> 00:12:01,240
Oh, yeah.

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00:12:01,240 --> 00:12:03,800
But it's up to us to make sure it's actually making a smarter,

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not lazier.

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That's the bottom line.

375
00:12:06,720 --> 00:12:08,880
This has been such a fascinating deep dive.

376
00:12:08,880 --> 00:12:11,360
I feel like I have a whole new understanding of AI

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00:12:11,360 --> 00:12:13,840
and learning any last words of wisdom.

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Just stay curious.

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Experiment with these awesome AI tools.

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But remember, the best tool you have is your own brain.

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00:12:20,840 --> 00:12:21,280
Right.

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00:12:21,280 --> 00:12:22,160
Keep it sharp.

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00:12:22,160 --> 00:12:23,680
Keep it engaged.

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00:12:23,680 --> 00:12:26,440
The future of learning, it's about humans and AI working

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00:12:26,440 --> 00:12:27,160
together.

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And we get to decide how that partnership works.

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00:12:29,280 --> 00:12:30,080
We do.

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00:12:30,080 --> 00:12:31,200
That's a great note to end on.

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00:12:31,200 --> 00:12:33,920
Thanks for joining me on this exploration of AI

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00:12:33,920 --> 00:12:36,040
and all things metacognitive.

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00:12:36,040 --> 00:12:37,000
It's been a pleasure.

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00:12:37,000 --> 00:12:39,320
We'll be back next time with another deep dive

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00:12:39,320 --> 00:12:40,680
into the world of AI.

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Can't wait.