Shadowing Practice: Cambridge Ielts 16 Reading test 1 Passage 3 - Learn English Speaking with Video

Bir pratik modu seçin

Her mod tam ekran bir pratik odası açar.

59 cümleler
Cümleler çok kısa veya çok uzun ise, ayarlamak için Düzenle'ye tıklayın.
1
3. The Future of Work According to a leading business consultancy,
2
3-14% of the global workforce will need to switch to a different occupation within the next 10-15 years,
3
and all workers will need to adapt as their occupations evolve alongside increasingly capable machines.
4
Automation, or Embodied Artificial Intelligence, AI, is one aspect of the disruptive effects of technology on the labor market.
5
Disembodied L, like the algorithms running in our smartphones, is another.
6
Dr. Stella Pacitti from Cambridge Judge Business School believes
7
that some of the most fundamental changes are happening as a result of the algorithmication of jobs
8
that are dependent on data rather than on production, the so-called knowledge economy.
9
Algorithms are capable of learning from data to undertake tasks that previously needed human judgment, such as reading legal contracts,
10
analyzing medical scans, and gathering market intelligence.
11
In many cases, they can outperform humans, says Pachidi.
12
Organizations are attracted to using algorithms because they want to make choices based on what they consider as perfect information, as well as to reduce costs and enhance productivity.
13
But these enhancements are not without consequences, says Pachidi.
14
If routine cognitive tasks are taken over by AI, how do professions develop their future experts?
15
She asks.
16
One way of learning about a job is legitimate peripheral participation.
17
A novice stands next to experts and learns by observation.
18
If this isn't happening, then you need to find new ways to learn.
19
Another issue is the extent to which the technology influences or even controls the workforce.
20
For over two years, Puccini monitored a telecommunications company.
21
The way telecom salespeople work is through personal and frequent contact with clients, using the benefit of experience to assess a situation and reach a decision.
22
However, the company had started using an algorithm that defined
23
when account managers should contact certain customers about which kinds of campaigns and what to offer them.
24
The algorithm, usually built by external designers, often becomes the keeper of knowledge, she explains.
25
In cases like this, Pachitti believes,
26
a short-sighted view begins to creep into working practices whereby workers learn through the algorithm's eyes and become dependent on its instructions.
27
Alternative explorations, where experimentation and human instinct lead to progress and new ideas, are effectively discouraged.
28
Pachidi and colleagues even observed people developing strategies to make the algorithm work to their own advantage.
29
We are seeing cases where workers feed the algorithm with false
30
data to reach their targets she reports it's scenarios like these
31
that many researchers are working to avoid their objective is to make ai technologies more trustworthy
32
and transparent so that organizations
33
and individuals understand how ai decisions are made in the meantime
34
says pachidi We need to make sure we fully understand the dilemmas that this new world raises regarding expertise, occupational boundaries, and control.
35
Economist Professor Hamish Lowe believes that the future of work will involve major transitions across the whole life course for everyone.
36
The traditional trajectory of full-time education followed by full-time work followed by a pension retirement is a thing of the past, says Lowe.
37
Instead, he envisages a multi-stage employment life, one where retraining happens across the life course,
38
and where multiple jobs and no job happen by choice at different stages.
39
On the subject of job losses, Mo believes the predictions are founded on a fallacy, it assumes that the number of jobs is fixed.
40
If in 30 years, half of 100 jobs are being carried out by robots,
41
that doesn't mean we are left with just 50 jobs for The number of jobs will increase.
42
We would expect there to be 150 jobs.
43
Dr. Ewan Mitkauhi at Cambridge's Centre for Business Research in King's College London agrees
44
that apocalyptic views about the future of work are misguided.
45
It's the laws that restrict the supply of capital to the job market, not the advent of new technologies that causes unemployment.
46
His recently published research answers the question of whether automation, AI and robotics will mean a jobless future by looking at the causes of unemployment.
47
it.
48
History is clear that change can mean redundancies, but social policies can tackle this through retraining and redeployment.
49
He adds, if there is going to be changed to jobs as a result of AI
50
and robotics then I'd like to see governments seizing the opportunity to improve policy to enforce good job security.
51
We can reprogram the law to prepare for a fairer future of work and leisure.
52
McGauhe's findings are a call to arms to leaders of organizations, governments and banks to preempt for coming changes with bold new policies that guarantee full employment,
53
fair incomes and a thriving economic democracy.
54
The promises of these new technologies are astounding.
55
They deliver humankind the capacity to live in a way that nobody could have once imagined humans.
56
Just as the Industrial Revolution brought people past subsistence agriculture and the corporate revolution enabled mass production,
57
a third revolution has been pronounced.
58
But it will not only be one of technology.
59
The next revolution will be social.

Uygulamayı İndir

Akıcı konuşmak için ihtiyacınız olan her şey

AI TelaffuzHer cümleyi puanla
IPA AlıştırmasıHer sesi ustalaştır
Kelime BilgisiKelime bankanızı oluşturun
Kelime OyunuOynarken öğrenin
QR Tara
QR Tara
Download on theApp StoreGet it onGoogle Play
📺 Aynı Kanal
Cambridge IELTS 17 Test 4 Reading passage 1C1
3

Cambridge IELTS 17 Test 4 Reading passage 1

IELTS PrepUniversity Students
Cambridge Ielts 16 Reading test 2 Passage 2C1
1

Cambridge Ielts 16 Reading test 2 Passage 2

IELTS PrepTOEFL PrepCambridge Exam Prep
Cambridge Ielts 16 Reading test 1 Passage 2B2
4

Cambridge Ielts 16 Reading test 1 Passage 2

Cambridge Exam PrepUniversity Students
Cambridge 16 IELTS Reading Test 4 Passage 1B2
2

Cambridge 16 IELTS Reading Test 4 Passage 1

IELTS PrepCambridge Exam PrepUniversity Students
Cambridge Ielts 16 Reading test 2 Passage 1C1
1

Cambridge Ielts 16 Reading test 2 Passage 1

Cambridge Exam PrepUniversity StudentsWorking Adults
Cambridge Ielts 16 Reading test 3 Passage 3C1
1

Cambridge Ielts 16 Reading test 3 Passage 3

Cambridge Exam PrepUniversity StudentsWorking Adults
Cambridge Ielts 16 Reading test 1 Passage 1C1
1

Cambridge Ielts 16 Reading test 1 Passage 1

IELTS PrepCambridge Exam PrepUniversity Students
Cambridge IELTS 15 Test 4 Reading Passage 2C2
8

Cambridge IELTS 15 Test 4 Reading Passage 2

IELTS PrepUniversity Students
Cambridge 16 IELTS Reading Test 4 Passage 3C1

Cambridge 16 IELTS Reading Test 4 Passage 3

IELTS PrepTOEFL PrepUniversity Students
Cambridge Ielts 16 Reading test 2 Passage 3C1

Cambridge Ielts 16 Reading test 2 Passage 3

IELTS PrepCambridge Exam PrepUniversity Students
Cambridge 16 IELTS Reading Test 4 Passage 2C1

Cambridge 16 IELTS Reading Test 4 Passage 2

IELTS PrepTOEFL PrepCambridge Exam Prep
Cambridge Ielts 16 Reading test 3 Passage 2C1

Cambridge Ielts 16 Reading test 3 Passage 2

Cambridge Exam PrepUniversity StudentsWorking Adults
Cambridge Ielts 16 Reading test 3 Passage 1B2

Cambridge Ielts 16 Reading test 3 Passage 1

Cambridge Exam PrepUniversity Students
✨ Video Öner
The Human Economy in the Age of AI | Ben Pascut | TEDxC1
465
25 cümleler

The Human Economy in the Age of AI | Ben Pascut | TEDx

IELTS PrepBusiness EnglishUniversity Students
Cambridge 12 Test 2 Section 4 ListeningC1
11
61 cümleler

Cambridge 12 Test 2 Section 4 Listening

IELTS PrepBusiness EnglishUniversity Students
AI Can Literally Lend You a HandC1
295
13 cümleler

AI Can Literally Lend You a Hand

IELTS PrepTOEFL PrepUniversity Students
IELTS Listening Practice B2–C1 | The Importance of Lifelong Learning in Modern SocietyC1
4
119 cümleler

IELTS Listening Practice B2–C1 | The Importance of Lifelong Learning in Modern Society

IELTS PrepBusiness EnglishUniversity Students
[2026] TOEFL iBT Speaking Take an Interview | Step-by-Step Strategies #0008C1
2
160 cümleler

[2026] TOEFL iBT Speaking Take an Interview | Step-by-Step Strategies #0008

TOEFL PrepBusiness EnglishInterview English
Nanotechnology: technology on a small scale | IELTS LISTENING TEST | SECTION-4C1
10
55 cümleler

Nanotechnology: technology on a small scale | IELTS LISTENING TEST | SECTION-4

IELTS PrepTOEFL PrepUniversity Students
PTE Read Aloud Practice: Pronunciation Tips That Actually WorkC1
7
35 cümleler

PTE Read Aloud Practice: Pronunciation Tips That Actually Work

IELTS PrepTOEFL PrepUniversity Students
Business Partner C1. Unit 1. Video 1.1.1.C1
3
51 cümleler

Business Partner C1. Unit 1. Video 1.1.1.

Business EnglishUniversity StudentsWorking Adults
IELTS Speaking Part 3: Will AI Take Our Jobs?B2
2
33 cümleler

IELTS Speaking Part 3: Will AI Take Our Jobs?

American AccentBritish AccentIELTS PrepUniversity StudentsWorking Adults
Ethnography in Business | IELTS LISTENING TEST | SECTION-4C1
5
58 cümleler

Ethnography in Business | IELTS LISTENING TEST | SECTION-4

IELTS PrepBusiness EnglishUniversity Students
ALBRECHT FUND SHADOWING_Technology Magnifies Who We AreC1
38
16 cümleler

ALBRECHT FUND SHADOWING_Technology Magnifies Who We Are

IELTS PrepTOEFL PrepUniversity Students

Bu dersin kelimeleri ve konuşma notları

Bu C1 seviyesindeki konuşma dersi “Cambridge Ielts 16 Reading test 1 Passage 3” videosuna dayanıyor. En çok tekrarlanan kelimeler: algorithm, pachidi, believes, revolution, technologies. Bu videoda gölgeleme çalışması için 59 cümle ve 839 kelime var. Konuşma bölümü 5:47 sürüyor. Konuşmacı dakikada yaklaşık 145 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin yalnızca %77’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığı zorlayıcı.

Bu videodaki önemli kelimeler

Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:

KelimeTelaffuzAnlam
algorithm isim/ˈælɡəɹɪðm̩/algoritma
robotics isim/ɹoʊˈbɑ.tɪks/robotik
automation isim/ˌɔ.təˈmeɪ.ʃən/otomasyon
workforce isim/ˈwɝk.foɹs/işgücü
apocalyptic sıfat/əˈpɒ.kə.lɪp.tɪk/apokaliptik
disruptive sıfat/dɪsˈɹʌptɪv/rahatsız edici
envisage fiil/ɛnˈvɪzɪd͡ʒ/öngörmek
fallacy isim/ˈfæl.ə.si/mantıksızlık, mugalata
misguided sıfat/ˌmɪsˈɡaɪdɪd/yanlış yönlendirilmiş
novice sıfat/ˈnɑvɪs/çömez
redundancy isim/ɹɪˈdʌndən(t)si/artıklık
salesperson isimsatıcı
telecommunication isim/ˌtɛləkəˌmjunɪˈkeɪʃən/telekomünikasyon
discourage fiil/dɪsˈkɝɪd͡ʒ/şevkini kırmak
trajectory isim/tɹəˈd͡ʒɛktəɹi/yörünge

Dikkat edilecek telaffuzlar

Konuşmacı doesn't, I'd, isn't gibi kısaltılmış biçimleri 3 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

  • “th” sesleri: algorithm /ˈælɡəɹɪðm̩/, trustworthy /ˈtɹʌst.wɜː.ði/, thrive /θɹajv/
  • “sh” ve “zh” sesleri: automation /ˌɔ.təˈmeɪ.ʃən/, experimentation /ɪkˌspɛɹ.ə.mənˈteɪ.ʃən/, telecommunication /ˌtɛləkəˌmjunɪˈkeɪʃən/, occupational /ɑkjuˈpeɪʃənəl/, leisure /ˈlɛʒə(ɹ)/
  • Uzun kelimeler — vurguyu doğru yere koyun: automation /ˌɔ.təˈmeɪ.ʃən/, apocalyptic /əˈpɒ.kə.lɪp.tɪk/, consultancy /kənˈsʌl.tən.si/, disembodied /dɪsɪmˈbɒdiːd/, experimentation /ɪkˌspɛɹ.ə.mənˈteɪ.ʃən/

Türkçe konuşanların zorlandığı sesler:

  • /w/ — dudaklar yuvarlak, /v/ değil: workforce /ˈwɝk.foɹs/, trustworthy /ˈtɹʌst.wɜː.ði/, whereby /wɛə(ɹ)ˈbaɪ/, consequence /ˈkɑn.sɪ.kwəns/
  • Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: humankind /ˌhjuːmənˈkaɪnd/, preempt /ˌpɹiːˈɛmpt/, trustworthy /ˈtɹʌst.wɜː.ði/, trajectory /tɹəˈd͡ʒɛktəɹi/, pronounce /pɹəˈnaʊns/
  • /æ/ — “e”den daha açık: algorithm /ˈælɡəɹɪðm̩/, fallacy /ˈfæl.ə.si/, enhancement /ɪnˈhæns.mənt/, advent /ˈæd.vɛnt/, analyze /ˈæn.əˌlaɪz/

Bu videoyla nasıl çalışılır

  1. Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
  2. Normal hızda cümle cümle tekrar edin; ritminiz konuşmacıyla aynı olana kadar her cümleyi yineleyin.
  3. Kendinizi kaydedin ve orijinaliyle karşılaştırın; algorithm, robotics, automation 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 →