Pratique du Shadowing: Cambridge Ielts 16 Reading test 1 Passage 3 - Apprendre l'anglais à l'oral avec la vidéo

Choisissez un mode d'entraînement

Chaque mode ouvre une salle d'entraînement en plein écran.

59 phrases
Si les phrases sont trop courtes ou trop longues, cliquez sur Edit pour les ajuster.
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.

Télécharger l'application

Tout pour parler couramment

Prononciation IAChaque phrase notée
Phonétique (IPA)Maîtrisez chaque son
VocabulaireEnrichissez votre lexique
Jeu de vocabulaireApprenez en jouant
Scanner le QR
Scanner le QR
Download on theApp StoreGet it onGoogle Play

Même chaîne

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
FOR YOU

Vidéo recommandée

IELTS Cambridge 16 Test 1 Passage 3 AC Reading with logical explanation I The Future of WorkB2
1
339 phrases

IELTS Cambridge 16 Test 1 Passage 3 AC Reading with logical explanation I The Future of Work

IELTS PrepUniversity Students
The Human Economy in the Age of AI | Ben Pascut | TEDxC1
465
25 phrases

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

IELTS PrepBusiness EnglishUniversity Students
English vocabulary in use Advanced Unit 2C1
5
24 phrases

English vocabulary in use Advanced Unit 2

IELTS PrepTOEFL PrepCambridge Exam Prep
AI Can Literally Lend You a HandC1
295
13 phrases

AI Can Literally Lend You a Hand

IELTS PrepTOEFL PrepUniversity Students
Ethnography in Business | IELTS LISTENING TEST | SECTION-4C1
5
58 phrases

Ethnography in Business | IELTS LISTENING TEST | SECTION-4

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

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

TOEFL PrepBusiness EnglishInterview English
Cambridge 12 Test 2 Section 4 ListeningC1
11
61 phrases

Cambridge 12 Test 2 Section 4 Listening

IELTS PrepBusiness EnglishUniversity Students
PTE Read Aloud Practice: Pronunciation Tips That Actually WorkC1
7
35 phrases

PTE Read Aloud Practice: Pronunciation Tips That Actually Work

IELTS PrepTOEFL PrepUniversity Students
CONTEMPORARY TOPICS UNIT 7 TECHNOLOGY ARTIFICIAL INTELLIGENCEC1
8
78 phrases

CONTEMPORARY TOPICS UNIT 7 TECHNOLOGY ARTIFICIAL INTELLIGENCE

IELTS PrepTOEFL PrepUniversity Students
ALBRECHT FUND SHADOWING_Technology Magnifies Who We AreC1
38
16 phrases

ALBRECHT FUND SHADOWING_Technology Magnifies Who We Are

IELTS PrepTOEFL PrepUniversity Students
Nanotechnology: technology on a small scale | IELTS LISTENING TEST | SECTION-4C1
10
55 phrases

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

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

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

IELTS PrepBusiness EnglishUniversity Students

Vocabulaire et conseils d’expression pour cette leçon

Cette leçon d’expression orale de niveau C1 s’appuie sur la vidéo « Cambridge Ielts 16 Reading test 1 Passage 3 ». Les mots qui reviennent le plus souvent : algorithm, pachidi, believes, revolution, technologies. Cette vidéo contient 59 phrases et 839 mots à répéter en shadowing. La partie parlée dure 5:47. Le locuteur parle à un rythme régulier d’environ 145 mots par minute, confortable pour le shadowing. Seuls 77 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.

Vocabulaire clé de cette vidéo

Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :

MotPrononciationSens
algorithm nom/ˈælɡəɹɪðm̩/algorithme
retrain verbe/ɹiːˈtɹeɪn/se recycler, se reconvertir
robotics nom/ɹoʊˈbɑ.tɪks/robotique
automation nom/ˌɔ.təˈmeɪ.ʃən/automatisation
workforce nom/ˈwɝk.foɹs/main-d'œuvre, personnel
apocalyptic adjectif/əˈpɒ.kə.lɪp.tɪk/apocalyptique
astound verbe/əˈstaʊnd/étonner, stupéfier
consultancy nom/kənˈsʌl.tən.si/cabinet de conseil, société de conseil
disembodied adjectif/dɪsɪmˈbɒdiːd/désincarné
disruptive adjectif/dɪsˈɹʌptɪv/perturbant, dérangeant
envisage verbe/ɛnˈvɪzɪd͡ʒ/envisager, prévoir
experimentation nom/ɪkˌspɛɹ.ə.mənˈteɪ.ʃən/expérimentation
fallacy nom/ˈfæl.ə.si/tromperie
misguided adjectif/ˌmɪsˈɡaɪdɪd/errant
redeployment nomredéploiement

Les verbes à particule que vous entendrez

MotPrononciationSens
carry out verbe/ˈkæ.ɹi aʊt/sortir, transporter dehors
take over verbereprendre

Prononciation à surveiller

Le locuteur utilise 3 contractions et formes réduites, comme doesn't, I'd, isn't. Prononcez-les sous leur forme courte, telles que vous les entendez.

  • Les sons « th »: algorithm /ˈælɡəɹɪðm̩/, trustworthy /ˈtɹʌst.wɜː.ði/, thrive /θɹajv/
  • Les sons « sh » et « zh »: automation /ˌɔ.təˈmeɪ.ʃən/, experimentation /ɪkˌspɛɹ.ə.mənˈteɪ.ʃən/, telecommunication /ˌtɛləkəˌmjunɪˈkeɪʃən/, occupational /ɑkjuˈpeɪʃənəl/, leisure /ˈlɛʒə(ɹ)/
  • Mots longs — placez bien l’accent: automation /ˌɔ.təˈmeɪ.ʃən/, apocalyptic /əˈpɒ.kə.lɪp.tɪk/, consultancy /kənˈsʌl.tən.si/, disembodied /dɪsɪmˈbɒdiːd/, experimentation /ɪkˌspɛɹ.ə.mənˈteɪ.ʃən/

Les sons difficiles pour les francophones :

  • /h/ — il se souffle, il n’est pas muet: humankind /ˌhjuːmənˈkaɪnd/, enhancement /ɪnˈhæns.mənt/, enhance /ɪnˈhæns/
  • /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: envisage /ɛnˈvɪzɪd͡ʒ/, discourage /dɪsˈkɝɪd͡ʒ/, trajectory /tɹəˈd͡ʒɛktəɹi/, researcher /ˈɹiˌsɝ.t͡ʃɚ/
  • /r/ anglais — langue recourbée, sans frotter la gorge: algorithm /ˈælɡəɹɪðm̩/, retrain /ɹiːˈtɹeɪn/, robotics /ɹoʊˈbɑ.tɪks/, workforce /ˈwɝk.foɹs/, disruptive /dɪsˈɹʌptɪv/

Comment s’entraîner avec cette vidéo

  1. Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
  2. Répétez phrase par phrase à vitesse normale, en reprenant chacune jusqu’à ce que votre rythme corresponde à celui du locuteur.
  3. Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme algorithm, retrain, robotics.

Qu'est-ce que la technique du Shadowing ?

Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.

Technique du shadowing : lire le guide complet étape par étape →