Pratique du Shadowing: Lesson 3: AI as a learning partner | AI Fluency for students - Apprendre l'anglais à l'oral avec la vidéo
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153 phrases
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Let's talk about something that's probably on your mind if you're a student right now.
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How do you use AI to actually learn things and not just make homework go faster?
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There's a fundamental difference between using AI to do work for us
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and using AI to do our work better and to actually learn.
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And that's what we'll explore here.
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When we regularly let AI think for us,
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we miss out on the opportunity to build the critical thinking muscles
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that allow us to thrive and solve problems in the real world.
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The consequences here can be significant.
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Picture yourself in that high-stakes exam with no AI to bail you out.
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Or sitting in a job interview where you need to actually explain your thinking.
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Or giving a presentation trying to articulate your thoughts.
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Maybe you're at work and AI gives you advice,
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but you haven't developed the evaluation skills to tell if it's genius or garbage.
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And to make things worse,
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you're facing real-world problems that you alone are responsible for solving.
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Suddenly, all that borrowed intelligence isn't so helpful.
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The good news is there are ways to use AI as a learning partner
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that can give you the support you need and make you more knowledgeable and more capable.
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It's not always the easiest path,
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but it's the one that actually sets you up for success.
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And that's what AI fluency is about.
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Let's start with delegation.
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Remember that delegation means making thoughtful decisions about what you should do versus what AI should do.
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First, you need problem awareness.
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Before you even call on an AI assistant,
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ask yourself, what am I trying to achieve?
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What am I meant to learn from this piece of work?
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What approach will help me get to my goals as a student?
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Once you're clear on your learning goal,
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you can make smart decisions about delegation.
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If the goal is to improve your argumentative writing,
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you shouldn't ask AI to write your arguments for you,
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but you could ask AI to be your debate partner,
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throwing counter arguments at you while you develop your own position.
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This is task delegation with a learning twist.
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You stay in the driver's seat using AI to challenge and strengthen your thinking.
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Some AI systems are specifically built for learning,
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while others just want to give you answers no matter what.
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Good description, which we'll cover next,
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will help you steer an AI's behavior to serve you best.
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But good platform awareness might also help you pick an AI assistant that's been designed with learning in mind.
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Description lets us talk to AI in ways that support learning.
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As we mentioned earlier, not all AI systems will be structured for learning by default,
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but that doesn't mean you don't have the power to steer that.
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Some AI systems are great at following instructions,
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which allows you to adapt that AI assistant's behavior and outputs to whatever helps you learn best.
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Most AI systems are designed to be helpful,
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which usually means they want to give you direct answers off the bat.
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But when we're actually trying to learn,
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that doesn't really help at all.
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This is where we need to get specific about what kind of help we want.
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We can tell the AI exactly what we want it to act as,
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for example, a tutor or a professor,
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or the way we want it to act,
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such as only asking us questions to help strengthen our thinking.
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And we can also tell the AI what sort of output is most helpful for our situation,
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such as a worksheet, bullet point list,
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or a table that continually updates across our conversation.
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Try starting conversations with descriptions like,
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I'm a freshman in college working on understanding algae photosynthesis at the cellular level.
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Instead of explaining it, can you ask me questions that connect to last week's learning to help me think through this?
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Or, I'm struggling with this logarithm problem.
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I pasted it into the chat.
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Without solving it for me,
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can you point me in the right direction to get started,
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and maybe give me a few really simple practice problems we can work through together?
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Or, I just wrote my analysis of this poem.
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Can you ask me questions that help me dig deeper into my own interpretation?
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See the pattern here?
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We're asking AI to be a coach, not a substitute player.
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Here are some other ways you can ask AI for outputs
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to help you hone your skills instead of just giving you answers.
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Pointers or clues when working through a tough topic.
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Questions that test your comprehension or make you think about how to apply an idea in practice,
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critical feedback on your ideas from another perspective,
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re-explaining concepts learned using different examples,
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or practice problems that build on the ones in your homework.
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One of our favorite ways to use AI is to ask it to act as your student.
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Teaching a concept to someone else is a great way to lock in your own learning.
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Another important skill is discernment,
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Not just checking the quality of what the AI is giving you,
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but checking whether or not the interaction is actually getting you closer to your goal.
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You need to be really honest with yourself.
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Are you actually learning or are you just along for the ride?
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Here's a quick gut check.
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Can you explain what you learned to someone else?
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Could you solve a similar problem without AI?
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Do you understand why something works?
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Not just that it works.
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If you're using AI as a learning assistant,
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asking questions, receiving guidance, working through problems together,
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the answers to these questions are more likely to be yes.
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And remember what we said at the start.
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This isn't an easy road.
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That frustrated feeling when you're stuck,
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that's literally your brain building new connections.
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AI can help you figure out how to unravel those knots in a way that helps you learn.
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Trust yourself here.
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You know when something feels like genuine understanding versus just following along.
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But discernment is even trickier if you're learning without a solid foundation.
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And it can be hard to know if AI is giving you accurate information.
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We're ultimately the ones responsible for what we do with the information AI gives us,
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including what we learn from it.
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Just like how we should verify everything we see on the internet,
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we owe it to ourselves to verify important knowledge that comes from AI by using other non-AI sources.
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Finally, let's talk about diligence.
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Working with AI responsibly and with academic integrity.
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This shows up in three main ways.
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First is creation diligence.
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Use the AI systems your school actually allows and follow your school's policies.
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Chances are this guidance is developed with learning in mind.
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And if you're If you're curious about why certain policies exist,
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try using the AI to explore the reasoning.
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Ask it about the learning science behind different approaches,
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or how various AI uses might impact skill development.
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Understanding the why helps you make smarter choices even in situations where the rules aren't spelled out.
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Second is transparency diligence.
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We encourage you to be upfront about how you engage with AI.
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If you've committed to disclosure requirements, of course, follow them.
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But even when it's not required,
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documenting how you interact with AI is a skill in itself that we build through practice.
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Transparency helps us communicate both our AI and non-AI skills,
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knowledge, and activities to teachers, employers, teammates, and clients.
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This is becoming critical in both education and employment contexts.
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Finally, deployment diligence.
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This is the ultimate test.
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You turn in your work,
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you should be able to explain every part of it,
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stand by it, and apply the concepts to new situations.
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Someone asks you, why did you approach it this way?
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And you can't answer because AI made that choice?
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You haven't really learned.
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and that's going to catch up with you when you need those skills for real.
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We get it.
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Using AI to actually learn instead of just complete assignments takes more effort and it's tempting to take shortcuts.
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But knowing how to use AI to genuinely enhance your learning will set you apart as both a student
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and in your career.
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It won't just make your homework easier.
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Students who get this right will walk away with real understanding,
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stronger problem-solving skills, and the confidence to handle whatever curveballs come next.
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You'll understand the unique role that human intelligence,
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creativity, and judgment play in AI-assisted work.
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You'll feel confident in interviews.
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You'll be able to spot when AI gives you good or bad advice.
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You'll become the colleague that everyone wants on their team.
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This approach is an investment in your future.
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You're not just getting through school.
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You're becoming someone who can think, learn, and adapt.
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In a world where everyone has access to AI, that's your actual superpower.
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The choices you make today shape the thinker you become tomorrow.
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Happy learning.
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Thank you.
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau C1 s’appuie sur la vidéo « Lesson 3: AI as a learning partner ». Les mots qui reviennent le plus souvent : learning, learn, skill, questions. Cette vidéo contient 153 phrases et 1519 mots à répéter en shadowing. La partie parlée dure 7:28. Le locuteur parle vite, environ 203 mots par minute : attendez-vous à des liaisons et à des sons réduits. 84 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| diligence nom | /ˈdɪlɪd͡ʒəns/ | diligence |
| delegation nom | /dɛlɪˈɡeɪʃən/ | délégation |
| discernment nom | discernement | |
| steer verbe | /stɪɹ/ | conduire, guider |
| verify verbe | /ˈvɛɹɪfaɪ/ | vérifier |
| transparency nom | /tɹænsˈpæɹənsi/ | transparence |
| adapt verbe | /əˈdæpt/ | adapter |
| strengthen verbe | /ˈstɹɛŋ(k)θən/ | renforcer, affermir |
| argumentative adjectif | /ˌɑɹɡjəˈmɛn(t)ətɪv/ | raisonneur, discutailleur |
| curveball nom | balle courbe | |
| frustrate verbe | /ˈfɹʌsˌtɹeɪt/ | frustrer |
| logarithm nom | /ˈlɑ.ɡə.ɹɪ.ð(ə)m/ | logarithme |
| photosynthesis nom | /ˌfoʊ.toʊˈsɪn.θə.sɪs/ | photosynthèse |
| shortcut nom | /ˈʃɔːtkʌt/ | raccourci |
| superpower nom | superpuissance |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| figure out verbe | cerner | |
| get through verbe | /ɡɛt ˈθɹu/ | franchir |
Des phrases à répéter
Des phrases courtes et complètes de la vidéo, à réutiliser dans la conversation de tous les jours :
- What am I meant to learn from this piece of work?
- What approach will help me get to my goals as a student?
- Are you actually learning or are you just along for the ride?
- Can you explain what you learned to someone else?
- Do you understand why something works?
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | are specifically built · been designed · will be structured |
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | haven't developed · that's been designed · you've committed |
| Propositions relatives who / which + proposition — une précision sur une personne ou une chose | Students who get · someone who can |
Prononciation à surveiller
Le locuteur utilise 34 contractions et formes réduites, comme you're, you'll, we're. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: strengthen /ˈstɹɛŋ(k)θən/, logarithm /ˈlɑ.ɡə.ɹɪ.ð(ə)m/, photosynthesis /ˌfoʊ.toʊˈsɪn.θə.sɪs/, thinker /ˈθɪŋ.kɚ/, thrive /θɹajv/
- Les sons « sh » et « zh »: delegation /dɛlɪˈɡeɪʃən/, shortcut /ˈʃɔːtkʌt/, comprehension /ˌkɑmpɹɪˈhɛnʃn̩/, freshman /ˈfɹɛʃ.mən/, disclosure /dɪsˈkləʊʒə(ɹ)/
- Mots longs — placez bien l’accent: delegation /dɛlɪˈɡeɪʃən/, transparency /tɹænsˈpæɹənsi/, argumentative /ˌɑɹɡjəˈmɛn(t)ətɪv/, logarithm /ˈlɑ.ɡə.ɹɪ.ð(ə)m/, photosynthesis /ˌfoʊ.toʊˈsɪn.θə.sɪs/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: comprehension /ˌkɑmpɹɪˈhɛnʃn̩/, enhance /ɪnˈhæns/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: diligence /ˈdɪlɪd͡ʒəns/, knowledgeable /ˈnɑ.lɪ.d͡ʒə.bəl/
- /r/ anglais — langue recourbée, sans frotter la gorge: steer /stɪɹ/, verify /ˈvɛɹɪfaɪ/, transparency /tɹænsˈpæɹənsi/, strengthen /ˈstɹɛŋ(k)θən/, argumentative /ˌɑɹɡjəˈmɛn(t)ətɪv/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme diligence, delegation, discernment.
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.