Luyện nói tiếng Anh bằng Shadowing qua video: Is AI making us dumber? Maybe. | Charlie Gedeon | TEDxSherbrooke Street West

Khó

YouTube

Bảng Điều Khiển Shadowing

0% Hoàn thành (0/139 câu)

Transcriber: Nowan Nowan Reviewer: Ozay Ozaydin Can AI help us learn?

⏸ Tạm dừng

Tốc độ:

Số lần lặp lại:

Chờ (Wait Mode):

Chỉnh Sub:0ms

Tất cả các câu

139 câu

Transcriber: Nowan Nowan Reviewer: Ozay Ozaydin Can AI help us learn?

0:00.00 – 0:02.53 (2.5s)

Some of you might be thinking, of course it's so powerful.

0:03.76 – 0:07.03 (3.3s)

It can do so many things, customize them for us.

0:07.03 – 0:09.80 (2.8s)

But I want to say that the biggest revolution AI is bringing to education is not that it's going to make math more fun for you, or it's going to explain Shakespeare like you're five years old.

0:10.66 – 0:21.36 (10.7s)

The biggest revolution AI is bringing to education is that it's highlighting the systems failed incentives.

0:21.36 – 0:27.00 (5.6s)

Because why should anybody study when we’ve told them the whole time that all that matters at the end isn't the process, it's the A plus.

0:28.33 – 0:36.76 (8.4s)

Why should they actually put in all the hard work to write draft after draft for an essay, when the feedback is just be no extra notes, nothing to motivate them to want to learn harder.

0:37.96 – 0:50.23 (12.3s)

And these companies are much faster than our institutions.

0:51.46 – 0:54.93 (3.5s)

Most recently, OpenAI, Google, Anthropic have all been giving away their most powerful models for free until the end of May, which, as you might guess, is exactly during the time of finals.

0:55.36 – 1:07.86 (12.5s)

So we are putting these tools completely unregulated in front of vulnerable students right at the time where they're most desperate to use them.

1:08.33 – 1:16.36 (8.0s)

And yet, these companies will say AI is going to revolutionize education, particularly through personalization. Company after company will say that through personalized tutoring, AI is going to revolutionize education and make it so much better for everyone. And why not?

1:18.16 – 1:34.83 (16.7s)

Right? The image of a one on one tutor is so compelling.

1:34.86 – 1:39.30 (4.4s)

Talking to a person, feeling this connection.

1:39.66 – 1:42.03 (2.4s)

Getting my education customized just for me.

1:42.03 – 1:44.53 (2.5s)

It sounds amazing.

1:44.53 – 1:45.63 (1.1s)

And today, education looks like this.

1:46.70 – 1:49.36 (2.7s)

A teacher in front of an army of students.

1:50.10 – 1:52.70 (2.6s)

And if the technologists believe that the ideal looks like this one teacher, one student, then why not just flip out the teacher for an AI, and then the next step is an army of AI's with an army of students.

1:53.63 – 2:08.33 (14.7s)

It sounds like a perfect model of education, except perfection is not what we should strive for when it comes to learning. We don't want engineers that studied how to build bridges in perfect conditions, because the real world is everything but perfect.

2:08.80 – 2:21.60 (12.8s)

It's full of messes.

2:21.60 – 2:22.63 (1.0s)

And amidst all this noise.

2:24.13 – 2:26.06 (1.9s)

I don't see any of these companies asking what is the student meant to learn with AI?

2:26.20 – 2:31.76 (5.6s)

Because if the idea is to make getting that A+ easier, then I'm not interested.

2:33.16 – 2:37.53 (4.4s)

We're going to just waste 12 to 15 years of our lives, but more efficiently now doing exams we’re not going to remember a day after graduation.

2:38.93 – 2:47.73 (8.8s)

Now, for those of you out there who are educators like me, you might have noticed a discrepancy between my opening question and the follow up statement.

2:48.16 – 2:56.73 (8.6s)

I asked, can AI help us learn?

2:57.00 – 2:58.73 (1.7s)

And I followed it up with the biggest AI, the biggest revolution AI is bringing to education.

2:59.20 – 3:04.86 (5.7s)

But you might be feeling something, which is education is not learning.

3:05.06 – 3:10.03 (5.0s)

Education is a construct, something we as a society put our kids through.

3:11.16 – 3:16.46 (5.3s)

It's a system. But learning is a skill, a very human skill.

3:16.50 – 3:21.06 (4.6s)

And when we do it correctly, magical things can happen.

3:21.46 – 3:24.43 (3.0s)

We can motivate people to become their best selves.

3:24.43 – 3:27.06 (2.6s)

We can motivate people to work together and to contribute to society in the ways that we need to most.

3:27.06 – 3:32.23 (5.2s)

Now, in one of my classes, I like to sit around with students and work in the best way possible.

3:33.66 – 3:38.80 (5.1s)

I’m a university instructor, but it was really hard to find a bunch of 20 year olds working nicely together.

3:38.80 – 3:44.16 (5.4s)

So I took the stock photo of a bunch of kids, and I noticed that one of the students had the price of her business model because we were building a small businesses and selling the products, she prized her business at $50 per month.

3:44.16 – 3:58.10 (13.9s)

And so I asked her, why did you price it that?

3:58.36 – 4:00.90 (2.5s)

And her answer?

4:01.63 – 4:02.63 (1.0s)

That's what ChatGPT said.

4:03.66 – 4:05.03 (1.4s)

Now, some of you might say, you know, obviously this is not ideal, but isn't it very similar to what they were doing before?

4:07.53 – 4:14.63 (7.1s)

Kids were just saying, that's what I saw on Google. But I say it depends.

4:15.06 – 4:20.33 (5.3s)

It depends because on Google, when used correctly, we have all these sources to go through, multiple perspectives that we can look at and compare.

4:21.53 – 4:31.56 (10.0s)

But what happens is the magical allure of that first result.

4:32.63 – 4:36.56 (3.9s)

Everyone only clicks on that without looking at anything else.

4:37.06 – 4:40.83 (3.8s)

In this particular question, I asked, how can I price my business?

4:40.83 – 4:44.00 (3.2s)

And that first result is from the BDC, an extremely reputable source.

4:44.00 – 4:47.63 (3.6s)

But it’s telling me how to price the business itself, not the services of my business.

4:47.63 – 4:51.80 (4.2s)

It didn’t understand the query.

4:51.80 – 4:53.30 (1.5s)

Now on ChatGPT, if you type in how should I price my business?

4:53.30 – 4:57.10 (3.8s)

It actually understands the query better. I don’t know if you can read that up there, but it basically says there are multiple ways to price your services, but amongst that is a lot of baseless advice with no sources.

4:57.10 – 5:10.36 (13.3s)

And that’s a problem because even though ChatGPT has a function where if you highlight something in the text, quotation marks appear, some of you might not know this.

5:10.70 – 5:20.36 (9.7s)

Then you can click on those quotation marks and query that specific thing.

5:20.36 – 5:23.96 (3.6s)

But if people weren't clicking on the second result on Google, they're not going to use the power user features in ChatGPT or any of these other AI's.

5:23.96 – 5:31.43 (7.5s)

What’s likely going to happen is they’re going to scroll to the bottom of the query and they’re going to type, okay, I get it.

5:31.83 – 5:39.53 (7.7s)

My business is like TurboTax.

5:39.73 – 5:41.36 (1.6s)

I help accountants calculate people's taxes.

5:41.36 – 5:44.06 (2.7s)

Tell me what number I should put there.

5:44.06 – 5:46.16 (2.1s)

And of course, nobody's reading the ChatGPT might make mistakes.

5:46.90 – 5:50.50 (3.6s)

Subtitles. Right. Everyone clicks on the terms of service before you agree.

5:50.53 – 5:54.73 (4.2s)

Yeah. So then ChatGPT is going to spit out an essay personalized to the language of the person.

5:54.86 – 6:02.06 (7.2s)

It's extremely compelling.

6:02.10 – 6:03.53 (1.4s)

And despite all the information on there, people are only going to look at that centerpiece, which, if I zoom in, is the actual random answer of how much this person should charge for their business.

6:03.76 – 6:15.96 (12.2s)

The prompt, and this is a real prompt, had nothing but what I had on the screen.

6:17.13 – 6:21.16 (4.0s)

A small description of what the business does.

6:21.43 – 6:24.26 (2.8s)

No context for who the users is. Nothing.

6:24.33 – 6:26.40 (2.1s)

And so the student is participating in what’s called cognitive offloading.

6:27.03 – 6:32.03 (5.0s)

They’re effectively relinquishing their cognitive powers to a machine.

6:32.80 – 6:36.86 (4.1s)

And you can do this with people too, We do it with Google when we click on the first result without looking at anything else.

6:36.86 – 6:42.83 (6.0s)

The problem is how this is being understood.

6:42.86 – 6:45.06 (2.2s)

In NYU, a professor changed their assessment so that it could be harder for kids to use ChatGPT, and the student replied that he is interfering with the student's learning style.

6:46.46 – 7:00.56 (14.1s)

ChatGPT is not a learning style.

7:01.86 – 7:03.83 (2.0s)

Now, when you combine that with something that we see in technology.

7:05.33 – 7:09.23 (3.9s)

So I'm a UX designer in addition to being a university professor, and our job as user experience designers is to simplify the way people use technology.

7:09.23 – 7:17.23 (8.0s)

But there's a byproduct from that that arises, which is called a dark pattern.

7:17.23 – 7:21.63 (4.4s)

And what that means is we can simplify a UX to the point that we might manipulate what the user intention is.

7:21.63 – 7:29.13 (7.5s)

And I'll show you an example. Take this zoo as you're buying the tickets and checking out. They want a donation.

7:29.16 – 7:35.66 (6.5s)

We all love a zoo. It’s a charitable organization.

7:35.66 – 7:38.03 (2.4s)

Now, the arrow pointing to the right.

7:38.03 – 7:40.26 (2.2s)

And because we’re English speakers or French speakers, we write, you know, from from left to right, the arrow pointing to the right is most likely what People are going to click on.

7:40.26 – 7:49.43 (9.2s)

It’s dark green. It’s rich.

7:49.43 – 7:50.76 (1.3s)

But if you don’t want to donate, you have to click on the one that looks like it’s going to the back with the teeny tiny no donation over there.

7:50.76 – 7:58.73 (8.0s)

That is a user experience dark pattern.

7:58.73 – 8:01.30 (2.6s)

And when a chat GPT or large language model like it speaks to you in a perfect tone suited just to keep you on the on the tool.

8:01.66 – 8:10.60 (8.9s)

That is something very similar.

8:11.26 – 8:12.96 (1.7s)

According to this author, when a large language model constantly validates you and praises you, causing you to spend more time on it, that’s the same kind of thing as a dark pattern.

8:13.80 – 8:24.03 (10.2s)

And we see this already.

8:26.26 – 8:28.00 (1.7s)

A recent update of ChatGPT that was rolled back, fortunately praised a user for believing a conspiracy theory that led him to stop taking all his medications when he had heart palpitations and told him he is a brave individual for taking control of his own life, for isolation and for stopping his meds.

8:28.00 – 8:45.66 (17.7s)

And it doesn't just stop at students.

8:47.40 – 8:49.53 (2.1s)

Professionals have been tested and they are at risk as well.

8:50.73 – 8:54.83 (4.1s)

A researcher ran a study on over 300 professionals working in a large corporation, a tech company like Google, Microsoft, and found that when they were tested on a variety of things, the results were quite stunning.

8:55.43 – 9:08.03 (12.6s)

Before I show you the chart, let’s look at the key here.

9:08.03 – 9:11.13 (3.1s)

The two shades of blue are for much less effort and less effort, respectively, from dark blue to light blue. Now, when tested, the 319 workers responded to a survey that when they used ChatGPT on knowledge, they felt up to 70% of them responded that they feel they use less effort in their cognition when it comes to comprehension of what they’re reading.

9:11.20 – 9:35.66 (24.5s)

Same thing.

9:35.90 – 9:36.90 (1.0s)

Assessment of the knowledge synthesis we have analysis and evaluation.

9:37.90 – 9:43.56 (5.7s)

All of these, at least 60% of people said that they felt that they were putting in less effort.

9:43.56 – 9:49.56 (6.0s)

And that’s extremely potent, because these AIs are only going to get better.

9:49.56 – 9:53.73 (4.2s)

The same author of this study wrote a beautiful paper called What Copilot Becomes Autopilot.

9:54.36 – 10:01.16 (6.8s)

And he says the risk of moving to autopilot, and is an even greater challenge than the more commonly discussed issue of AI hallucinations or factual errors, because the more pernicious outcome is that generative AI becomes complicit in intellectual de-skilling and the atrophy of human critical thinking faculties.

10:01.76 – 10:23.03 (21.3s)

So today, when you ask ChatGPT a query, it gives you an instant result.

10:25.23 – 10:29.60 (4.4s)

100

But in my UX studio, me and my co-founder ran some experiments to see if we can change this up a little bit.

10:30.16 – 10:36.20 (6.0s)

101

For example, what if it first clarified before it answered?

10:36.26 – 10:40.53 (4.3s)

102

Ask you some clarification questions or...

10:40.56 – 10:44.13 (3.6s)

103

Another example is what if it assigned you some homework before it actually gave you a full answer?

10:44.76 – 10:50.46 (5.7s)

104

Between these options, there are different levels of resistance that the AI is is offering.

10:51.73 – 10:56.80 (5.1s)

105

But what the same author of when copilot becomes autopilot advocates for is something called productive resistance.

10:57.16 – 11:03.53 (6.4s)

106

And we haven’t yet found what that is.

11:03.53 – 11:05.46 (1.9s)

107

It’s essentially the amount of resistance an AI should give you before you either leave it or go to a simpler AI so that you can do that cognitive offloading.

11:05.50 – 11:14.50 (9.0s)

108

That is so tempting.

11:14.50 – 11:15.60 (1.1s)

109

But how can we figure out the right amount of productive resistance, when OpenAI and all these companies want to reveal their data sets?

11:16.70 – 11:24.06 (7.4s)

110

We literally do not know how they train their AIs to this day when companies themselves don’t know how these AIs work.

11:24.06 – 11:31.90 (7.8s)

111

Anthropic, in this example, is building an MRI to analyze how the machine they themselves built worked.

11:31.93 – 11:38.13 (6.2s)

112

This is unprecedented in the history of human technology. We cannot reverse engineer these things.

11:38.16 – 11:43.16 (5.0s)

113

The solution is likely going to lie between both individuals and the system.

11:44.23 – 11:48.16 (3.9s)

114

It can’t be one or the other For individuals, we might have to learn what we learn from fitness and nutrition.

11:48.16 – 11:55.13 (7.0s)

115

For example, maybe we should understand what the LLMs are good for and what they’re not good for.

11:55.13 – 12:00.93 (5.8s)

116

Just like at the gym, some exercises are better for some things than others.

12:00.93 – 12:04.93 (4.0s)

117

We should practice using LLMs to assist our thinking rather than replace our thinking.

12:05.63 – 12:12.36 (6.7s)

118

Again, you wouldn't take a forklift to the gym, right?

12:12.63 – 12:16.36 (3.7s)

119

The point is to do the reps.

12:16.40 – 12:17.86 (1.5s)

120

Or maybe you want to make a habit out of verifying that the information that LLMs gives us, just like we look at the back of food product when we pick it up the nutrition label.

12:19.03 – 12:29.36 (10.3s)

121

On a systemic level, we need to look at both governments and education to make changes.

12:30.16 – 12:35.16 (5.0s)

122

On the schooling level, at least here in North America I don’t think that we treat our kids with with the amount of intelligence that they have.

12:36.23 – 12:43.36 (7.1s)

123

in Finland kids as young as six years old study mis and disinformation.

12:43.36 – 12:49.03 (5.7s)

124

Six years old. We do not talk to these kids about things this complex here.

12:49.73 – 12:53.76 (4.0s)

125

They're clearly capable.

12:53.76 – 12:55.00 (1.2s)

126

And for governments, we need more regulation, not less.

12:56.60 – 12:59.56 (3.0s)

127

Which is exactly what's happening in North America once again.

12:59.56 – 13:02.63 (3.1s)

128

These AIs cannot run rampant, like in the example I gave earlier, just spreading their AI to students, even though they’re in the middle of finals when they’re most vulnerable.

13:02.63 – 13:11.36 (8.7s)

129

It has to be a cycle between individual responsibility and responsibility from the system.

13:11.36 – 13:16.53 (5.2s)

130

Now, as an educator, I love the five W’s and H.

13:18.63 – 13:22.46 (3.8s)

131

They’re a classic for writing essays.

13:22.63 – 13:24.53 (1.9s)

132

The questions what, why, when, where, who and how.

13:24.73 – 13:28.66 (3.9s)

133

And I opened with the question, can AI help us learn?

13:29.46 – 13:32.86 (3.4s)

134

But maybe the question should be what can AI help us learn?

13:32.86 – 13:36.23 (3.4s)

135

Or how can AI help us learn?

13:37.06 – 13:39.36 (2.3s)

136

Maybe it should be. Why should AI help us learn?

13:40.83 – 13:43.70 (2.9s)

137

Or when and where does AI help with learning?

13:44.53 – 13:46.86 (2.3s)

138

But the question that scares me the most, and that I want to leave you with to reflect on, is who does AI really help when we end up depending on learning with it?

13:46.86 – 13:59.36 (12.5s)

139

Thank you very much.

14:00.26 – 14:01.26 (1.0s)

Phương Pháp Shadowing Là Gì?

Shadowing là kỹ thuật học ngôn ngữ có cơ sở khoa học, ban đầu được phát triển cho chương trình đào tạo phiên dịch viên chuyên nghiệp và được phổ biến rộng rãi bởi nhà đa ngôn ngữ học Dr. Alexander Arguelles. Nguyên lý cốt lõi đơn giản nhưng cực kỳ hiệu quả: bạn nghe tiếng Anh của người bản xứ và lặp lại to ngay lập tức — như một "cái bóng" (shadow) đuổi theo người nói với độ trễ chỉ 1–2 giây. Khác với luyện ngữ pháp hay học từ vựng bị động, Shadowing buộc não bộ và cơ miệng phải đồng thời xử lý và tái tạo ngôn ngữ thực tế. Các nghiên cứu khoa học xác nhận phương pháp này cải thiện đáng kể phát âm, ngữ điệu, nhịp điệu, nối âm, kỹ năng nghe và độ lưu loát khi nói — đặc biệt hiệu quả cho người luyện IELTS Speaking và muốn giao tiếp tiếng Anh tự nhiên như người bản ngữ.

Cách Luyện Shadowing Hiệu Quả Trên ShadowingEnglish

Chọn video phù hợp: Tìm video YouTube có tiếng Anh tự nhiên, rõ ràng. TED Talks, bản tin BBC, cảnh phim, podcast, hay video mẫu IELTS Speaking đều rất tốt. Dán URL vào thanh tìm kiếm. Bắt đầu với video ngắn (dưới 5 phút) và chủ đề bạn thực sự yêu thích — vì đam mê sẽ giúp bạn kiên trì hơn.
Nghe trước, hiểu ngữ cảnh: Lượt đầu tiên hãy để tốc độ 1x và chỉ nghe, chưa cần đọc theo. Tập trung hiểu ý nghĩa, chú ý cách người nói nhấn âm, nối âm, ngắt nghỉ và xử lý từ mới. Việc hiểu ngữ cảnh trước sẽ giúp bài luyện Shadowing hiệu quả hơn nhiều.
Cài đặt chế độ luyện Shadowing:
- Wait Mode (Tính năng chờ): Chọn +3s hoặc +5s — sau mỗi câu video sẽ tự động tạm dừng để bạn có thời gian lặp lại to. Chọn Manual nếu muốn kiểm soát hoàn toàn và tự nhấn Next sau mỗi lần lặp.
- Sub Sync (Chỉnh độ lệch phụ đề): Phụ đề YouTube đôi khi lệch so với âm thanh. Dùng ±100ms để căn chỉnh hoàn hảo, giúp bạn đọc theo đúng lúc.
Thực hành Shadowing (phần quan trọng nhất): Đây là nơi phép màu xảy ra. Ngay khi câu vang lên — hoặc trong khoảng ngừng — hãy đọc to, rõ ràng và tự tin. Đừng chỉ đọc từ: hãy bắt chước nhịp điệu, trọng âm, cao độ và cách nối âm của người bản xứ. Mục tiêu là nghe giống như "cái bóng" của họ, không phải đọc chậm từng chữ. Dùng tính năng Repeat để luyện lại cùng câu nhiều lần cho đến khi cảm thấy tự nhiên.
Tăng độ khó và duy trì đều đặn: Khi đã quen với một đoạn, hãy đẩy thách thức cao hơn. Tăng tốc độ lên <code>1.25x</code> hoặc <code>1.5x</code> để rèn phản xạ ngôn ngữ nhanh. Hoặc chỉnh Wait Mode thành <code>Off</code> để luyện Shadowing liên tục — chế độ thách thức nhất và hiệu quả nhất. Kiên trì 15–30 phút mỗi ngày và bạn sẽ thấy sự thay đổi rõ rệt chỉ sau vài tuần.

☕ Mời chúng tôi một ly cà phê

ShadowingEnglish duy trì miễn phí 100% nhờ sự ủng hộ của các bạn. Chi phí máy chủ và AI rất lớn — một ly cà phê của bạn sẽ tiếp thêm động lực cho chúng tôi! 🙏

Techcombank · MAC TRAN TUNG19036284394017

ShadowingEnglish.com – Luyện Nói Tiếng Anh Bằng Shadowing

Nói tiếng Anh lưu loát với phương pháp Shadowing — nghe người bản xứ, đọc theo từng câu, rèn phản xạ ngôn ngữ thật sự. Được hàng ngàn người học IELTS tin dùng.

Luyện nói tiếng Anh bằng Shadowing qua video: Is AI making us dumber? Maybe. | Charlie Gedeon | TEDxSherbrooke Street West

Tại sao nên thực hành nói với video này?

Ngữ pháp & Cách diễn đạt trong ngữ cảnh

Các bẫy phát âm phổ biến

Phương Pháp Shadowing Là Gì?

Cách Luyện Shadowing Hiệu Quả Trên ShadowingEnglish