Shadowing Practice: 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 - Learn English Speaking with Video

In 2016, the American CS university

The job is to be more than the average of all the people in the world

The internet is everywhere Where do you know what CS is?

Why do you know the door is the door?

The first thing you can see is AI But the fact that you can see the door is another thing

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,

a lot of people were in the name of CSBA Did you study?

GetHub is really beautiful people and then I think that in the old school, the situation is not like that.

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.

The 20th century, the most stable, the most stable, the most stable.

Now the new new ones are still more than the new ones.

The internet is everywhere, and the new ones are still working.

Many of them are still reading the資格, or the new ones are still reading the story.

Today, we'll answer the last few years.

CS is not going to be able to read it.

Let's start!

First of all, CS's career rate is what's up.

According to the New York College of CS, the program is 22-27 years of CS's career rate, the career rate is 7%,

the computer's more than 7.8%.

In the data, the entire career rate is only 2-3%.

The last year, the last year, the career rate is a 2-3% The career rate is more

than 2.5% Indeed the technology development of the industry to the 4th of the year compared to the 2022 that the First,

the first thing is the first thing is the first thing.

The whole time, the whole company's job is only 2.8%.

That's why the whole team is a lot of people who work well.

He's going to go to the next thing to the next thing.

CS's business business is not going to go to the next thing.

And this is not CS's problem.

According to the research research, 2023, the US's job is 8.5% from the young people.

The other thing is that CS's job is to deal with the same problem.

But CS is because it's the most high-refering The range of the range is more obvious

The entire range of the range of the range from 2023 to now is 35%

The range of the range of the range of the range is about There's no practice experience, the range is very true

The range of the range of the range of the range of the range is 81.6%

The range is 40.7% It's just a little bit more than

a half This is the time of the range of the range It's not a big business in the range

The second range is that CS is actually more than a lot of the range of the range

Even some of the Cs's work-in-law-souls

The New York University of Cs's work-in-law-souls

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

is just to graduate after to do not need this degree of work to do 63.9%

and 65.8% The Cs's work-in-law-souls is also 54.6%

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,

I think it's still job to work.

This situation is actually better than many other people in the world.

Why do you have the door to open up?

The first thing to think of is AI.

AI is still there.

It's really about the first thing to do.

But it's the murder of the killing of the people.

Huffle has a追踪 6,000 million people's job research.

In AI, the company is about 9-10%.

But the business of the company's business is almost impossible.

Standard for example, there are a number of different numbers.

And AI, the code, was not that much.

Anthropic did a test, which helped the AI to learn a new tool.

After this, the idea and the idea of the test is more than 17 minutes.

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.

So AI is a bit more than a basic basic design.

It's not the whole of the business.

But the real thing is the two things.

First, it's a bit of a surprise.

It's a bit of a surprise to go to the the teacher's father's daughter's daughter.

New York University has been able to calculate the young high school year-to-day school

and the first year-to-day school year-to-day school is the biggest difference between the two years.

It's about 64%.

The logic is that

a new person becomes a new company's job is to sit on the other side of the company

and look and ask and ask and ask.

But the new person is going to go to the next day, almost no longer.

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.

The second reason is the case.

If you're going to take a look at the case, it's the case.

That's the case.

There's a rule called Section 174.

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.

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.

So they will pay for the money to pay for the money.

For the way to live, the most quickly is to to cut the company's office.

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.

The most people were asking is, now is it not to be able to choose CS?

We can look at 2000 years, the internet's power was broken.

The time of the NASDAQ's number from 5000 more points, from the time of the time, it fell to even 1000.

The internet's network was stopped, the company was called and the company was called by the Chinese.

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.

That's a few years, everyone thinks the whole road is dead.

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.

After the time of the智慧型 the time of the time, the demand was big.

2007 after CS, the new people started to increase.

The new people of CS are a low-to-date.

It's always a bad news for短期.

Everyone will be a little bit of a rush and a little bit of a rush

but the demand is still still there just will be a fear for the And

while the time is still moving to the revenue this way

of the return is still there According to the following According

to the following the Hamilton Project of the entire year a

CS-BHM 30-40 years of the total累積 is usually over 200 million

and the total of 6,000 more than a year and the average of the year's graduate is about 120 million

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!

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Vocabulario y notas de pronunciación para esta lección

Esta lección de conversación de nivel B2 se basa en el vídeo “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”. Este vídeo tiene 224 frases y 3110 palabras para practicar shadowing. La parte hablada dura 13:37. El hablante habla rápido, unas 228 palabras por minuto, así que espera sonidos enlazados y reducidos. El 91 % de las palabras está entre las 3.000 más comunes del inglés, por lo que el vocabulario es fácil de seguir.

Vocabulario clave de este vídeo

Las 14 palabras más avanzadas del vídeo, con su pronunciación y significado:

Palabra	Pronunciación	Significado
stable sustantivo	/ˈsteɪ.bəl/	establo, cuadra
pace sustantivo	/peɪs/	paso
rush verbo	/ɹʌʃ/	correr, apurarse
solve verbo	/sɒlv/	resolver, solucionar
meal sustantivo	/ˈmiːl/	comida, pitanza
compare verbo	/kəmˈpɛɚ/	comparar, parangonar
guarantee sustantivo	/ˌɡæɹ.ənˈtiː/	garantía, caución
capture verbo	/ˈkæp.(t)ʃɚ/	capturar
connect verbo	/kəˈnɛkt/	conectar, empalmar
domain sustantivo	/ˌdəʊˈmeɪ̯n/	dominio
divide verbo	/dɪˈvaɪd/	desunir, dividir
successor sustantivo	/səkˈsɛsɚ/	sucesor, sucesora
calculate verbo	/ˈkælkjʊleɪt/	calcular
anthropic adjetivo	/ænˈθɹɒp.ɪk/	antrópico

Phrasal verbs que vas a escuchar

Palabra	Pronunciación	Significado
come out verbo	/ˌkʌm ˈaʊt/	revelarse, salir a la luz
go through verbo		atravesar
pick up verbo		coger, asir
write down verbo		apuntar, anotar

Frases que vale la pena repetir

Frases cortas y completas del vídeo que puedes reutilizar en la conversación diaria:

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.

Gramática en este vídeo

Las estructuras que más usa el hablante, con las palabras exactas del vídeo:

Estructura	En el vídeo
Present perfect continuous have/has been + -ing — una acción que empezó antes y continúa	have been walking · I've been talking · I've been doing
Present perfect have/has + participio pasado — una acción pasada que sigue importando ahora	has been · has been increased · have been
Voz pasiva be + participio pasado — importa lo que ocurre, no quién lo hace	was done · was broken · was stopped
Oraciones de relativo who / which + oración — información extra sobre una persona o cosa	people who work · people who were · June, which will

Pronunciación a tener en cuenta

El hablante usa 39 contracciones y formas reducidas, como you're, I'm, can't. Dilas en su forma corta, tal como las oyes.

Los sonidos de “sh” y “zh”: rush /ɹʌʃ/, capture /ˈkæp.(t)ʃɚ/

Sonidos difíciles para hispanohablantes:

/v/ — no es /b/: los dientes tocan el labio inferior: solve /sɒlv/, divide /dɪˈvaɪd/

Cómo practicar con este vídeo

Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
Empieza a velocidad 0,75×, haz shadowing frase por frase y vuelve a la velocidad normal cuando te resulte fácil.
Grábate y compara con el original, prestando atención a palabras como stable, pace, rush.

¿Qué es la Técnica de Shadowing?

Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.

Técnica de shadowing: lee la guía completa paso a paso →

Shadowing Practice: 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 - Learn English Speaking with Video

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