Luyện nói tiếng Anh bằng Shadowing qua video: 資工科系真的不能念了嗎？為什麼新鮮人突然找不到工作？工程師飯碗不保？！｜Kelly Tsai
Đang tạo bài học...
1
In 2016, the American CS university
2
The job is to be more than the average of all the people in the world
3
The internet is everywhere Where do you know what CS is?
4
Why do you know the door is the door?
5
The first thing you can see is AI But the fact that you can see the door is another thing
6
Welcome to Kelly Channel, I'm Kelly We were in the first time, we were in the first time We were in the first time, and we received 400 more of the news I went to the next time,
7
a lot of people were in the name of CSBA Did you study?
8
GetHub is really beautiful people and then I think that in the old school, the situation is not like that.
9
There are reports that in the 2016 year, the CS students are the失業率 even more than the average average of all the people.
10
The 20th century, the most stable, the most stable, the most stable.
11
Now the new new ones are still more than the new ones.
12
The internet is everywhere, and the new ones are still working.
13
Many of them are still reading the資格, or the new ones are still reading the story.
14
Today, we'll answer the last few years.
15
CS is not going to be able to read it.
16
Let's start!
17
First of all, CS's career rate is what's up.
18
According to the New York College of CS, the program is 22-27 years of CS's career rate, the career rate is 7%,
19
the computer's more than 7.8%.
20
In the data, the entire career rate is only 2-3%.
21
The last year, the last year, the career rate is a 2-3% The career rate is more
22
than 2.5% Indeed the technology development of the industry to the 4th of the year compared to the 2022 that the First,
23
the first thing is the first thing is the first thing.
24
The whole time, the whole company's job is only 2.8%.
25
That's why the whole team is a lot of people who work well.
26
He's going to go to the next thing to the next thing.
27
CS's business business is not going to go to the next thing.
28
And this is not CS's problem.
29
According to the research research, 2023, the US's job is 8.5% from the young people.
30
The other thing is that CS's job is to deal with the same problem.
31
But CS is because it's the most high-refering The range of the range is more obvious
32
The entire range of the range of the range from 2023 to now is 35%
33
The range of the range of the range of the range is about There's no practice experience, the range is very true
34
The range of the range of the range of the range of the range is 81.6%
35
The range is 40.7% It's just a little bit more than
36
a half This is the time of the range of the range It's not a big business in the range
37
The second range is that CS is actually more than a lot of the range of the range
38
Even some of the Cs's work-in-law-souls
39
The New York University of Cs's work-in-law-souls
40
The Cs's work-in-law-souls is 7.9% The Cs's work-in-law-souls The Cs's work-in-law-souls and the Cs's work-in-law-souls
41
is just to graduate after to do not need this degree of work to do 63.9%
42
and 65.8% The Cs's work-in-law-souls is also 54.6%
43
So Cs's work-in-law-souls is more difficult to find the first job-in-law-souls But if you find it, I think that's the case for about 8 times,
44
I think it's still job to work.
45
This situation is actually better than many other people in the world.
46
Why do you have the door to open up?
47
The first thing to think of is AI.
48
AI is still there.
49
It's really about the first thing to do.
50
But it's the murder of the killing of the people.
51
Huffle has a追踪 6,000 million people's job research.
52
In AI, the company is about 9-10%.
53
But the business of the company's business is almost impossible.
54
Standard for example, there are a number of different numbers.
55
And AI, the code, was not that much.
56
Anthropic did a test, which helped the AI to learn a new tool.
57
After this, the idea and the idea of the test is more than 17 minutes.
58
Another called METR company found that the AI team used the AI, which was done by the time, although they thought it would be faster.
59
So AI is a bit more than a basic basic design.
60
It's not the whole of the business.
61
But the real thing is the two things.
62
First, it's a bit of a surprise.
63
It's a bit of a surprise to go to the the teacher's father's daughter's daughter.
64
New York University has been able to calculate the young high school year-to-day school
65
and the first year-to-day school year-to-day school is the biggest difference between the two years.
66
It's about 64%.
67
The logic is that
68
a new person becomes a new company's job is to sit on the other side of the company
69
and look and ask and ask and ask.
70
But the new person is going to go to the next day, almost no longer.
71
The company is going to go to the next day, the new person's job is going to be very high and then just don't open the door, just pick up the door.
72
The second reason is the case.
73
If you're going to take a look at the case, it's the case.
74
That's the case.
75
There's a rule called Section 174.
76
In 2022, the company will pay for the company's money to not be able to pay for the money, to pay for a lot of money to pay for a lot of money.
77
The reason is that the company is not able to pay for money, but because the money is not able to pay for money, the money is not able to pay for the money.
78
So they will pay for the money to pay for the money.
79
For the way to live, the most quickly is to to cut the company's office.
80
The law law in 2025, although it was still back to the office But it was in the past few years, it was a lot of people who were able to pay for the money.
81
The most people were asking is, now is it not to be able to choose CS?
82
We can look at 2000 years, the internet's power was broken.
83
The time of the NASDAQ's number from 5000 more points, from the time of the time, it fell to even 1000.
84
The internet's network was stopped, the company was called and the company was called by the Chinese.
85
The American CS's in the world's in the world from that after, it's 6 years and it's a bit of 2007 or 2008.
86
That's a few years, everyone thinks the whole road is dead.
87
But according to the later the American計算機会 report that they were forced to ask to not read CS that many years, the IT-to-year number of people actually has been increased and more than the other than the other.
88
After the time of the智慧型 the time of the time, the demand was big.
89
2007 after CS, the new people started to increase.
90
The new people of CS are a low-to-date.
91
It's always a bad news for短期.
92
Everyone will be a little bit of a rush and a little bit of a rush
93
but the demand is still still there just will be a fear for the And
94
while the time is still moving to the revenue this way
95
of the return is still there According to the following According
96
to the following the Hamilton Project of the entire year a
97
CS-BHM 30-40 years of the total累積 is usually over 200 million
98
and the total of 6,000 more than a year and the average of the year's graduate is about 120 million
99
But here to talk about this is the last year the
100
entire year of the total累積 of the number AI-10s can't be able to fix
101
and no one can guarantee It's also showing that this year's long-term so the first job is really hard to find it.
102
But if you have been walking too long, the path of the return is still standing.
103
If you don't want to choose CS this question, I think it's true.
104
If you are really interested in CS, you will still be interested in CS.
105
But if you go to the end of the day, it's still a good time.
106
I think if you want to choose CS this question, I think if you really want CS to be interested and excited, that you still should be.
107
But if you don't like CS, I just want to study it.
108
I'm going to go to the next stage.
109
Then you will be very hard.
110
If you already decided to go this business, how do you decide to live this business?
111
AI is probably going to be a cheap one.
112
But it's not going to be a whole of the entire business.
113
It's not going to be a whole of the entire business.
114
and even if you do AI, you can't go through the things
115
The first one is the技術研究 the core of the AI This one is in Mc希 in the AI-based organization
116
gave a name called T-型
117
The number is to say can be able to use the field of knowledge domain knowledge to decide a system
118
which is what to do AI which is what to do
119
and to decide the way to decide the way to decide the way to check
120
and check and check AI itself out of the things, right?
121
The number is to say it can be able to use the AI-based technology to turn into
122
so what Let's hear from others.
123
This is a good thing to hear from people.
124
It's still still there.
125
Like the health insurance company.
126
According to the US, the US government's business plan The US government's business plan is to give up to 29% to 33%.
127
The most important job is to give up to 4% to 5%.
128
It's 6 or 7%.
129
The World's business plan is to give up to the health insurance company.
130
But it's not enough to give up to the technology.
131
Because even if you use AI, it's still a good thing.
132
So the more useful is the second one.
133
The second one is the best.
134
They are more than a big part of the world and also a variety of different areas
135
and can be able to guide AI and guide people The value is not
136
that they can do their own
137
but they can be able to connect the way to the world
138
and can be able to guide AI tools and can be able to guide AI in a模糊不清
139
This is what I think people are doing with the same thing Now, we all use AI to divide by three
140
The top of the world is only with AI to talk about
141
and ask them to write things The bottom of the world is using AI to make a product out
142
But the most important thing is that the AI can be able to solve the real business and then change the money.
143
And I want to tell you a fact.
144
If you have a business idea, it will be directly affected your money.
145
The company of OmniSan is now in the 4th of June, which will be the AI-based user for the AI-based users.
146
But the standard is not to look at you will not use AI, but to look at the three things.
147
AI-based companies' spending time, and the financial impact of the company, and the job-based business, and the job-based people have been widely used.
148
The difference between the technology and the technology is an important part of the technology.
149
It's a real-time thing that we need to do with the technology.
150
It's just a bit more than the technology.
151
We're usually trying to make things out of the way, but we're not trying to decide this thing is what it's worth and worth.
152
And I mentioned the T-Sign and M-Sign is actually just in the Havel School of Health.
153
There's a course in helping you to help you help you understand this.
154
It's the knowledge of the Havel School of Health and Health.
155
Christina Wallace We are working on a web course Everyone knows
156
that Can't get to the Huffle It's not easy The知識 of the星 can be able to get to this teacher
157
This is the most difficult part of the course You can
158
use the course of the Huffle MBA All of the course
159
of the course All of the students All of the work
160
that we use All of the students use of the course
161
Christina Wallace Is the Huffle MBA The expert and講師 In MBA She taught the new business
162
She was a coached by BCG
163
She was a professor of the business She was a senior in the business
164
And the business manager Even her successors She's even a business
165
manager She's a new business manager She's a new case study I recommend you to go to this class
166
because the Huffle School is the only one to ask MBA
167
students to attend the first year to do the first year's business
168
because they believe that you are not believe that you are not a business.
169
The business management system of the mind of the mind is very important to everyone.
170
I saw the book and thought that the content was really a very clear.
171
There are a lot of the recent news that I've been talking about
172
and the news that I've been talking about and a half-year-old, like, from 0 to 350 million of the base44, which is a matter of fact, one person can be a team of companies.
173
Look how they're working on their job.
174
And there are a couple of different things that I've been doing.
175
One company called TableIQ, they have no idea of new AI-based design, but is to be able to review the restaurant's work.
176
They are looking at the restaurant and the kitchen, and looking at the food, the order of the meal, the food waste, and the food supply.
177
They are all in the morning, and they are all in the morning, and they are giving the company a new idea.
178
Christina said they have built a data-driven design every day to increase the restaurant's design, and they are making the design more accurate.
179
This is become TableIQ's team's team.
180
It is not a team to be a team to be a team.
181
And in a year, they have already been able to achieve the money 70%.
182
The course of the course is what I mentioned before using
183
the business of business to help AI It's not going to spend time with AI talking
184
or how to use the tools to do things
185
but it's going to be on the next level when the business is cheap how to do it again
186
how to look at the pace of the pace how to
187
do it in the pace of AI how to do AI to do it
188
and how to do it in the game If you don't have a chance to do it, it's not a good thing so the course is still a lot of practice
189
so you have to be able to think about it If you're still in the game, you're going to do it
190
but not will be able to decide this thing will be worth the price of the price
191
this is the right time to help you to help you
192
this is the right time this is the right time now
193
in the market is 7月9日到8月16日 with a low 39折 of the
194
new year I can also add in my own I can
195
also add in the link to the link I will put in the information box
196
that if you go first to get more deep or second to help you to help you
197
the right time is the same thing
198
that is not to let you stop in the only way of the action
199
because that is AI will be the most to get the point that we will get the first question
200
What is CS yet to be able to read?
201
I'll be able to read it every few years.
202
The internet is the air, and the air, and the air.
203
Every time there is a man says that 工程师 is done.
204
Every time living here is the I wish to change the new ideas.
205
I want to change the equipment.
206
My experience is that the business industry is not a good thing.
207
It's a good thing.
208
I'm always going to learn the next thing.
209
I've been able to read it for seven years.
210
I've seen several of these kinds of things.
211
At GPD came out that year, I think there are two years ago, but the two years later it was those people who are the most likely to be able to do AI
212
because they are the team's team that's the best AI to capture and to solve real problems.
213
It's those who think this is no matter, and then they will be able to write down the code.
214
I'm talking about the company's job, and I'm looking at the newsroom, and I'm seeing the newsroom when I'm looking at the newsroom.
215
It's also the reason I think this is important for today.
216
If you're in Taiwan, I think this is a very far away from you.
217
Taiwan's business industry will be followed by the US, But the way that you can't go away from the house, but the way that you can't go away from the house, such as the financial system, such as the lack of people, Taiwan is still very short.
218
If you want to read CS, you can ask yourself what kind of mind to read.
219
If you're very excited about it, I would say go for it.
220
But if you're a bit older, you can't work with your own mind, you can't do that.
221
I'm going to ask you this video, if you want to learn CS, then you can do this video.
222
If you're in the video, or you're in the video, or you're in the video, you can tell me your situation.
223
Then we'll see you next time!
224
Bye bye!
✨ Video gợi ý
B22
96 câu
Where are China’s youth headed in a crowded job market?
Business EnglishUniversity StudentsWorking Adults
B22
190 câu
He’s always wrong
Business EnglishDaily ConversationUniversity Students
B21
354 câu
순수 국내파 한국인이 실리콘밸리 빅테크 개발자로 입성한 특급 영어 공부법
American AccentBusiness EnglishInterview EnglishUniversity Students
B22
201 câu
Every Level of Engineering in 15 Minutes
Business EnglishUniversity StudentsWorking Adults
B21
168 câu
Những đứa trẻ đã từng xuất chúng | Podcast
Business EnglishUniversity StudentsWorking Adults
B21
195 câu
원어민 실제 영어 표현 배우는 생활경제 뉴스 쉐도잉 리스닝 연습
Business EnglishDaily ConversationUniversity Students
B2192 câu
If You Earn More, Do You Decide Everything? ｜Chinese Perspective (upper intermediate) #learnchinese
Business EnglishDaily ConversationUniversity Students
C11
315 câu
how AI broke the SWE Career Ladder
Business EnglishUniversity StudentsWorking Adults
B22
32 câu
bandicam 2026 09 25 15 39 53 373
Business EnglishInterview EnglishUniversity Students
B2274 câu
17 Normal Jobs that People Actually Like
Business EnglishDaily ConversationUniversity Students
B22
113 câu
How Life Will Look Like In 2050
Business EnglishUniversity StudentsWorking Adults
B22
48 câu
Anxiety is the Dizziness of Freedom｜英文Talk：焦虑是好事，恰恰因为现代社会的流动性强
Business EnglishUniversity StudentsWorking Adults
Từ vựng và ghi chú luyện nói cho bài học này
Bài luyện nói trình độ B2 này dựa trên video “資工科系真的不能念了嗎？為什麼新鮮人突然找不到工作？工程師飯碗不保？！｜Kelly Tsai”. Video này có 224 câu và 3110 từ để luyện shadowing. Phần lời nói dài 13:37. Người nói nói nhanh, khoảng 228 từ mỗi phút, nên sẽ có nhiều chỗ nối âm và nuốt âm. 91% số từ nằm trong 3.000 từ tiếng Anh thông dụng nhất, nên từ vựng dễ theo.
Từ vựng quan trọng trong video
11 từ khó nhất trong video, kèm phiên âm và nghĩa:
| Từ | Phiên âm | Nghĩa |
|---|---|---|
| stable danh từ | /ˈsteɪ.bəl/ | chuồng, chuồng ngựa |
| solve động từ | /sɒlv/ | giải quyết |
| meal danh từ | /ˈmiːl/ | bữa, bữa cơm |
| compare động từ | /kəmˈpɛɚ/ | so sánh, so |
| guarantee danh từ | /ˌɡæɹ.ənˈtiː/ | sự bảo đảm |
| capture động từ | /ˈkæp.(t)ʃɚ/ | bắt |
| connect động từ | /kəˈnɛkt/ | nối |
| domain danh từ | /ˌdəʊˈmeɪ̯n/ | đất đai, tài sản |
| divide động từ | /dɪˈvaɪd/ | chia |
| calculate động từ | /ˈkælkjʊleɪt/ | tính toán, tính |
| newsroom danh từ | /ˈnjuːzɹuːm/ | toà soạn báo |
Cụm động từ bạn sẽ nghe
| Từ | Nghĩa |
|---|---|
| open up động từ | mở |
| pick up động từ | nhặt, lượm |
| write down động từ | viết ra, ghi xuống |
Những câu đáng luyện lại
Các câu ngắn, trọn ý trong video mà bạn có thể dùng lại khi giao tiếp hằng ngày:
- Why do you know the door is the door?
- Today, we'll answer the last few years.
- I think it's still job to work.
- Why do you have the door to open up?
- I'm going to go to the next stage.
Ngữ pháp trong video
Những cấu trúc người nói dùng nhiều nhất, kèm đúng cụm từ trong video:
| Cấu trúc | Trong video |
|---|---|
| Thì hiện tại hoàn thành tiếp diễn have/has been + -ing — việc bắt đầu từ trước và vẫn đang tiếp tục | have been walking · I've been talking · I've been doing |
| Thì hiện tại hoàn thành have/has + quá khứ phân từ — việc đã xảy ra nhưng còn liên quan đến hiện tại | has been · has been increased · have been |
| Câu bị động be + quá khứ phân từ — nhấn vào việc xảy ra, không phải người làm | was done · was broken · was stopped |
| Mệnh đề quan hệ who / which + mệnh đề — thêm thông tin về người hoặc vật | people who work · people who were · June, which will |
Phát âm cần chú ý
Người nói dùng 39 dạng rút gọn, ví dụ you're, I'm, can't. Hãy nói theo dạng ngắn đúng như bạn nghe.
- Âm “sh” và “zh”: rush /ɹʌʃ/, capture /ˈkæp.(t)ʃɚ/
Những âm người Việt thường gặp khó:
- Cụm phụ âm cuối — đọc đủ từng âm, đừng nuốt âm cuối: solve /sɒlv/, connect /kəˈnɛkt/
- Âm /æ/ — mở miệng rộng hơn âm “e”: guarantee /ˌɡæɹ.ənˈtiː/, capture /ˈkæp.(t)ʃɚ/, calculate /ˈkælkjʊleɪt/, anthropic /ænˈθɹɒp.ɪk/
- Phụ âm cuối — bật rõ âm cuối của từ: pace /peɪs/, rush /ɹʌʃ/, solve /sɒlv/, connect /kəˈnɛkt/, divide /dɪˈvaɪd/
Cách luyện với video này
- Nghe hết video một lần, chưa cần nói, và ghi lại những từ bạn chưa biết.
- Bắt đầu ở tốc độ 0,75×, nói đuổi từng câu, rồi quay lại tốc độ bình thường khi đã quen.
- Ghi âm giọng mình rồi so với bản gốc, chú ý các từ như stable, solve, meal.
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.