跟讀練習: Lesson 3: AI as a learning partner | AI Fluency for students - 通過影片學習英語口語

選擇練習模式

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Let's talk about something that's probably on your mind if you're a student right now.

How do you use AI to actually learn things and not just make homework go faster?

There's a fundamental difference between using AI to do work for us

and using AI to do our work better and to actually learn.

And that's what we'll explore here.

When we regularly let AI think for us,

we miss out on the opportunity to build the critical thinking muscles

that allow us to thrive and solve problems in the real world.

The consequences here can be significant.

Picture yourself in that high-stakes exam with no AI to bail you out.

Or sitting in a job interview where you need to actually explain your thinking.

Or giving a presentation trying to articulate your thoughts.

Maybe you're at work and AI gives you advice,

but you haven't developed the evaluation skills to tell if it's genius or garbage.

And to make things worse,

you're facing real-world problems that you alone are responsible for solving.

Suddenly, all that borrowed intelligence isn't so helpful.

The good news is there are ways to use AI as a learning partner

that can give you the support you need and make you more knowledgeable and more capable.

It's not always the easiest path,

but it's the one that actually sets you up for success.

And that's what AI fluency is about.

Let's start with delegation.

Remember that delegation means making thoughtful decisions about what you should do versus what AI should do.

First, you need problem awareness.

Before you even call on an AI assistant,

ask yourself, what am I trying to achieve?

What am I meant to learn from this piece of work?

What approach will help me get to my goals as a student?

Once you're clear on your learning goal,

you can make smart decisions about delegation.

If the goal is to improve your argumentative writing,

you shouldn't ask AI to write your arguments for you,

but you could ask AI to be your debate partner,

throwing counter arguments at you while you develop your own position.

This is task delegation with a learning twist.

You stay in the driver's seat using AI to challenge and strengthen your thinking.

Some AI systems are specifically built for learning,

while others just want to give you answers no matter what.

Good description, which we'll cover next,

will help you steer an AI's behavior to serve you best.

But good platform awareness might also help you pick an AI assistant that's been designed with learning in mind.

Description lets us talk to AI in ways that support learning.

As we mentioned earlier, not all AI systems will be structured for learning by default,

but that doesn't mean you don't have the power to steer that.

Some AI systems are great at following instructions,

which allows you to adapt that AI assistant's behavior and outputs to whatever helps you learn best.

Most AI systems are designed to be helpful,

which usually means they want to give you direct answers off the bat.

But when we're actually trying to learn,

that doesn't really help at all.

This is where we need to get specific about what kind of help we want.

We can tell the AI exactly what we want it to act as,

for example, a tutor or a professor,

or the way we want it to act,

such as only asking us questions to help strengthen our thinking.

And we can also tell the AI what sort of output is most helpful for our situation,

such as a worksheet, bullet point list,

or a table that continually updates across our conversation.

Try starting conversations with descriptions like,

I'm a freshman in college working on understanding algae photosynthesis at the cellular level.

Instead of explaining it, can you ask me questions that connect to last week's learning to help me think through this?

Or, I'm struggling with this logarithm problem.

I pasted it into the chat.

Without solving it for me,

can you point me in the right direction to get started,

and maybe give me a few really simple practice problems we can work through together?

Or, I just wrote my analysis of this poem.

Can you ask me questions that help me dig deeper into my own interpretation?

See the pattern here?

We're asking AI to be a coach, not a substitute player.

Here are some other ways you can ask AI for outputs

to help you hone your skills instead of just giving you answers.

Pointers or clues when working through a tough topic.

Questions that test your comprehension or make you think about how to apply an idea in practice,

critical feedback on your ideas from another perspective,

re-explaining concepts learned using different examples,

or practice problems that build on the ones in your homework.

One of our favorite ways to use AI is to ask it to act as your student.

Teaching a concept to someone else is a great way to lock in your own learning.

Another important skill is discernment,

Not just checking the quality of what the AI is giving you,

but checking whether or not the interaction is actually getting you closer to your goal.

You need to be really honest with yourself.

Are you actually learning or are you just along for the ride?

Here's a quick gut check.

Can you explain what you learned to someone else?

Could you solve a similar problem without AI?

Do you understand why something works?

Not just that it works.

If you're using AI as a learning assistant,

asking questions, receiving guidance, working through problems together,

the answers to these questions are more likely to be yes.

And remember what we said at the start.

This isn't an easy road.

That frustrated feeling when you're stuck,

that's literally your brain building new connections.

AI can help you figure out how to unravel those knots in a way that helps you learn.

Trust yourself here.

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You know when something feels like genuine understanding versus just following along.

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But discernment is even trickier if you're learning without a solid foundation.

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And it can be hard to know if AI is giving you accurate information.

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We're ultimately the ones responsible for what we do with the information AI gives us,

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including what we learn from it.

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Just like how we should verify everything we see on the internet,

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we owe it to ourselves to verify important knowledge that comes from AI by using other non-AI sources.

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Finally, let's talk about diligence.

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Working with AI responsibly and with academic integrity.

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This shows up in three main ways.

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First is creation diligence.

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Use the AI systems your school actually allows and follow your school's policies.

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Chances are this guidance is developed with learning in mind.

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And if you're If you're curious about why certain policies exist,

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try using the AI to explore the reasoning.

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Ask it about the learning science behind different approaches,

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or how various AI uses might impact skill development.

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Understanding the why helps you make smarter choices even in situations where the rules aren't spelled out.

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Second is transparency diligence.

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We encourage you to be upfront about how you engage with AI.

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If you've committed to disclosure requirements, of course, follow them.

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But even when it's not required,

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documenting how you interact with AI is a skill in itself that we build through practice.

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Transparency helps us communicate both our AI and non-AI skills,

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knowledge, and activities to teachers, employers, teammates, and clients.

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This is becoming critical in both education and employment contexts.

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Finally, deployment diligence.

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This is the ultimate test.

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You turn in your work,

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you should be able to explain every part of it,

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stand by it, and apply the concepts to new situations.

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Someone asks you, why did you approach it this way?

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And you can't answer because AI made that choice?

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You haven't really learned.

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and that's going to catch up with you when you need those skills for real.

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We get it.

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Using AI to actually learn instead of just complete assignments takes more effort and it's tempting to take shortcuts.

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But knowing how to use AI to genuinely enhance your learning will set you apart as both a student

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and in your career.

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It won't just make your homework easier.

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Students who get this right will walk away with real understanding,

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stronger problem-solving skills, and the confidence to handle whatever curveballs come next.

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You'll understand the unique role that human intelligence,

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creativity, and judgment play in AI-assisted work.

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You'll feel confident in interviews.

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You'll be able to spot when AI gives you good or bad advice.

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You'll become the colleague that everyone wants on their team.

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This approach is an investment in your future.

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You're not just getting through school.

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You're becoming someone who can think, learn, and adapt.

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In a world where everyone has access to AI, that's your actual superpower.

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The choices you make today shape the thinker you become tomorrow.

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Happy learning.

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Thank you.

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背景與語境

在學習過程中，學生往往會想要找到最有效的方法來利用人工智慧（AI）來幫助他們提升學習成果。《Lesson 3: AI作為學習夥伴 | AI流暢性對於學生》一影片探討了如何將AI的功能最大化，而不僅僅是利用它來完成家庭作業。播講者強調，過度依賴AI可能導致學生在真實世界中面臨挑戰時缺乏必要的批判性思維能力，因此，如何有效地通過AI來學習成了重要話題。

日常溝通中常用的五個短語

你想要達到什麼目標？ - 這個問題引導學生思考他們的學習目的。
你需要什麼樣的幫助？ - 在請求AI的支援前，應明確自身的需求。
AI能提供什麼樣的反駁意見？ - 與AI進行辯論，以提升自我思考能力。
如何證明我的觀點？ - 教學生如何利用AI強化自己的論點。
選擇合適的AI助手很重要！ - 選擇能支援學習的AI工具，以便獲得最佳的學習經驗。

逐步跟讀指南

要根據此影片提高你的英語口語技巧，可以參考以下步驟：

理解影片內容：在觀看影片時，集中注意力，嘗試理解播講者傳遞的核心思想和概念。
找出關鍵短語：關注上面列出的常用短語，並嘗試將其記憶和練習，在日常交流中自然使用。
跟讀練習：使用看YouTube學英語的影片功能，關閉自動播放並逐段跟讀，模仿播講者的語音語調。
錄音對比：錄製自己的跟讀聲音，與原影片進行比較，確保發音和語調的準確性。
應用到實際溝通中：在小組討論或一對一的對話中，使用從影片中學到的短語進行交流，強化學習效果。

通過這些方法，你不僅能提升你的口語能力，也能有效地將AI作為一個學習夥伴，增強你的批判性思維和表達能力，從而在學業和職業生涯中取得更大的成功。這是實現流暢的AI學習的有效途徑。

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	been designed · will be structured · are designed
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	haven't developed · that's been designed · you've committed
定語從句 who / which + 從句 — 補充說明人或事物	Students who get · someone who can

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: Lesson 3: AI as a learning partner | AI Fluency for students - 通過影片學習英語口語

選擇練習模式

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背景與語境

日常溝通中常用的五個短語

逐步跟讀指南

影片中的語法

什麼是跟讀法？