Shadowing Practice: Will robots take our jobs? | CNBC Explains - Learn English Speaking with Video

Ders oluşturuluyor...
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Hi, I'm Elizabeth.
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Hi, I'm Robotesky.
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Nice to meet you.
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Likewise.
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This is a humanoid robot, which means it looks, it talks, and it even acts, well, like a human.
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So does that mean it could take a human's job, like mine?
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You better believe it.
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No, I'm only joking, not really.
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There's no denying robots and automation are increasingly part of our daily lives.
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Just look around the grocery store, or the highway, or in the case of Robothespian here, even at the theater.
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The rise of robots has led to some pretty scary warnings about the future of work.
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Robots will be able to do everything better than us.
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A recent study found up to 670 ,000 U .S jobs were lost to robots between 1990 and 2007, and that number is likely to go up.
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A widely cited study from 2013 found nearly half of all
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jobs in the U .S are in danger of being automated over the next 20 years.
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Occupations that require repetitive and predictable tasks in transportation, logistics and administrative support were especially high risk.
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And just think, robots don't need health benefits, vacation, or even sleep for that matter.
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But the debate over whether robots will take over all of our jobs is by no means settled.
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Many economists argue automation will ultimately create new jobs.
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After all, someone has to program the robots, right?
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Let's go back to the 1850s, when trains were the most popular mode of transportation.
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This chart shows the number of locomotive engineers, railroad conductors, and brakemen increasing by nearly 600%.
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But that growth slowed in the early 1900s.
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Why?
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You guessed it, the automobile came along.
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Car mechanic and repairman jobs surged, even though railroad jobs began to disappear.
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And some companies say the same thing will happen when robots move into the marketplace.
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A survey of 20 ,000 employers from 42 countries found that the IT,
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customer service, and advanced manufacturing industries will add workers over the next two years as a result of automation.
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It's hard to imagine that robots can replicate human characteristics like empathy or compassion that are required in many jobs.
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I mean, would you really want a robot as your nurse, babysitter, or teacher?
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But even if robots don't take our jobs entirely, research shows they will significantly change day -to -day tasks in
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the workplace this is particularly a problem for lower skilled workers
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who aren't able to retrain for new jobs they might get
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stuck with lower wages in a world with more robots and
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that could make income inequality even worse these guys are making a lot of things uncertain right now
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but one thing that's clear is skills training is required
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if we hope to get along with friends like them in the workplace i think we're going to get along just fine.
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Hey everyone, it's Elizabeth and RoboSeskin here.
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Thanks so much for watching our video.
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You can check out more of our videos all the time, including one about universal basic income over here on our YouTube page.
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While you're at it, leave us some ideas in the comment section and subscribe to our channel.
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See you later!
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Bu dersin kelimeleri ve konuşma notları

Bu videoda gölgeleme çalışması için 43 cümle ve 524 kelime var. Konuşma bölümü 3:24 sürüyor. Konuşmacı dakikada yaklaşık 154 kelimeyle, günlük konuşmaya yakın doğal bir hızda konuşuyor. Kelimelerin yalnızca %81’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığı zorlayıcı.

Bu videodaki önemli kelimeler

Videodan öğrenmeye değer 15 kelime, telaffuzu ve anlamıyla:

KelimeTelaffuzAnlam
robot isim/ˈɹoʊ.bɑt/robot
automation isim/ˌɔ.təˈmeɪ.ʃən/otomasyon
worker isim/ˈwɝ.kɚ/işçi, emekçi
skill isim/skɪl/beceri, maharet
workplace isim/ˈwɝkˌpleɪs/iş yeri
universal sıfat/ˌjunəˈvɜɹs(ə)l/evrensel
argue fiil/ˈɑɹ.ɡju/münakaşa etmek, tartışmak
administrative sıfat/ədˈmɪn.ɪ.stɹə.tɪv/yönetimsel
wage isim/weɪd͡ʒ/ücret, gündelik
nurse isim/nɝs/hemşire, tıp bacısı
vacation isim/veɪˈkeɪ.ʃən/tatil
increasingly zarfgide gide
scary sıfat/ˈskɛə.ɹi/korkunç
theater isim/ˈθi(ə)tɚ/tiyatro
deny fiil/dəˈnaɪ/inkâr etmek

Duyacağınız deyimsel fiiller

KelimeAnlam
check out fiilgözden geçirmek
get along fiilkardeşçe yaşamak, iyi geçinmek

Dikkat edilecek telaffuzlar

Konuşmacı I'm, don't, aren't gibi kısaltılmış biçimleri 8 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

  • “th” sesleri: theater /ˈθi(ə)tɚ/, empathy /ˈɛmpəθi/
  • “sh” ve “zh” sesleri: automation /ˌɔ.təˈmeɪ.ʃən/, vacation /veɪˈkeɪ.ʃən/, occupation /ˌɑkjʊˈpeɪʃən/, compassion /kəmˈpæʃ.ən/
  • Uzun kelimeler — vurguyu doğru yere koyun: automation /ˌɔ.təˈmeɪ.ʃən/, universal /ˌjunəˈvɜɹs(ə)l/, administrative /ədˈmɪn.ɪ.stɹə.tɪv/, occupation /ˌɑkjʊˈpeɪʃən/, characteristic /ˌkæɹ(ə)ktəˈɹɪstɪk/

Bu videoyla nasıl çalışılır

  1. Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
  2. 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
  3. Kendinizi kaydedin ve orijinaliyle karşılaştırın; robot, automation, worker gibi kelimelere özellikle dikkat edin.

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.

Shadowing tekniği: adım adım eksiksiz rehberi okuyun →