跟讀練習: Fight brain-rot with Worked Examples - 通過影片學習英語口語

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And this is how I personally learn using LLMs without my brain rotting away.
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Give me a worked example, i.e. steps broken down, worked, like a math problem, or leak code.
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And then you can just type a random number here, 137.
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so if you just tell the LLM give me the solution to leak code 137
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it will give you something and you won't understand it at all
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but if you ask for a worked example this is the hack
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it will tell you step by step how to come to this conclusion
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so you're not just getting the final thing you are getting a series of steps which you can go through
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and each step is small in terms of cognitive requirement
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and you'll actually be able to learn remember and retain that information and that step
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and your brain will remember in a chain so that you might remember 4 out of the 5
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but then remembering the other four forces your brain to recall the fifth one
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because your brain likes to associate this thing's related with this thing.
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It links patterns in that way.
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So I actually think that LLMs are learning on steroids because now you have access to a speaking encyclopedia
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that can break down problems for you, your own personal tutor.
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It is insane, actually.
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So that was a clip from my live stream, and I'm aware of a scientific article that actually talks more about this, and I wanted to share it.
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You can go look it up yourself, and you can see what this study says as well.
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The paper is called The Effect of Worked Examples on Learning Solution Steps and Knowledge Transfer.
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And in this article, they describe a method where they took two groups of students, they gave one group the worked example,
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which is like a series of steps to help the students get to the solution.
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And the other group just had to figure it out, basically.
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They had to do problem solving.
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And the problems that they gave them were designed in a way
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that they required to fit many things into working memory at a given time.
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So very cognitively demanding.
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And if I just scroll down to the results, because it's quite a long paper.
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So the results here, effectively, it breaks down the two groups into a table.
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And they measured the cognitive load.
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and motivation and retention and also something called near transfer.
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So for cognitive load, it's predictable and expected that the worked example group had lower cognitive load.
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Of course, because they were given a worked example, they already know some of the steps to solving the problem.
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So they were consistently lower in cognitive load Now why is that important?
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If we look at some of the other results, for example, let's just go down to retention.
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And we look at the retention.
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I don't know what unit these numbers are in,
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but you can see that the worked example group had a 50% increased retention over the students that were just problem solving.
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So much, much better ability to remember how they solved that problem.
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You can see they also scored better on near transfer.
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And I believe that means that when given similar problems, they are better able to solve those problems as well.
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The motivational scale has to do with how proud they were of completing the lesson or the challenge
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and also how challenged they felt during that.
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As you would expect, the worked example group didn't feel that it was too challenging for them.
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And then for how proud they were of their achievement, the worked example group was also slightly more proud of what they did.
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So take that for what you will.
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But then if we go down to the, essentially the educational implications, it's sort of giving,
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I guess, advice for maybe teachers or professors to recommend that
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when you are training or teaching someone who is just new to something, that you should give them worked examples.
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and then as they learn more and more, you can maybe peel back a few of the steps so
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that the worked example have less information and they have to do more problem solving over time.
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So you're doing this gradual increase to keep the cognitive load of the student manageable.
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Why do you need to do that?
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Because when you are cognitively overloaded, you cannot remember things.
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And especially if you are overloaded by a challenge and you get frustrated,
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you have even less chance to remember and get through that problem.
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So when we are doing things like going to LeetCode and jumping into a problem that we have never seen before,
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you are not cheating by looking at worked examples.
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The worked example will tell you how to solve it, but you will actually be better solidifying that knowledge in your brain and that pattern.
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Now a worked example is very different from a completely finished and final solution.
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A worked example is the steps.
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It is not just the answer.
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If you just take the answers, you're not going to learn.
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But if you use a worked example, you're going to learn better than everyone else who doesn't.
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It just seems like a no-brainer for me.
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So when you go through here and you look at solutions, don't look at the solutions because they will have just a complete solution unless they've written it,
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their shared solution really well, which most of them don't do that.
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So instead what you do, you just go to an LLM and ask it to give you a worked example
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because they've all been trained on all of LeetCode and everything.
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So that's it.
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I will link the study in the description.
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Go have a read and good luck.

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影片裡的5個實用表達

  • brain-rot:大腦僵化(形容被動接收資訊後思維遲鈍的狀態)
  • worked example:分步例項(像數學題解題過程一樣的詳細步驟)
  • cognitive load:認知負荷(大腦處理資訊時的負擔)
  • retention:記憶留存(對所學內容的記住程度)
  • near transfer:近遷移(將所學應用到相似問題的能力)

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現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事have never seen · they've written

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