Pratique du Shadowing: ChatGPT vs. IELTS Examiner: Writing - Apprendre l'anglais à l'oral avec la vidéo
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136 phrases
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Over the past few months I've been testing Chagipity and other language models to see if they can act like IELTS examiners.
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For this video I took 30 real essays and compared AI band scores to real examiner scores.
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So let's look at what happened and what it means for your preparation.
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It all started when I received this message from Maria.
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I've been preparing for my IELTS for five months.
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But I think I'm gonna fail my exam anyway.
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I get bent eight or nine in listening and reading.
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But writing almost never reaches span seven.
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I must score a seven everywhere to start my master's in September.
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What can I do?
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Well, Marie had been using chat APT to check how good her essays were
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and i decided to do the same i took one of her essays
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and gave this prompt to chat gpt
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you are an experienced ielts examiner who assesses ielts writing task
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2 essays using the ielts band descriptors give me the band scores for the four assessment criteria
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and the overall task 2 band score.
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I posted the essay and the result stunned me.
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Task response or how well you respond to the task band 6.
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Coherence and cohesion or the flow and structure of your essay band 6.
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Lexical resource or vocabulary band 6.
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Grammar and overall band 6.
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Are you sure this score is so low?
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I asked.
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And ChattyPT gave me a full explanation of why it couldn't possibly be any higher.
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So I sent the same essay using the same prompt to several other language models.
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Claude gave a band 7 for task response and coherence and cohesion but only band 6 for vocabulary and grammar,
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which resulted in an overall 6 .5.
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DeepSeek was more generous, giving a band 7.
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Gemini also landed at a band 6.
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And since I have a paid subscription for Chagipity, I could test its latest 4 .5 model with more advanced reasoning,
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or at least definitely the slowest model.
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And that one gave a band 7.
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To be honest, none of that looked right to me.
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So we decided to conduct a more thorough experiment and see if AI can actually give accurate scores,
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which models perform better, and if the scores are wrong, are they usually too high or too low.
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A St. Marie's essay to a former IELTS examiner on our team and while I was waiting.
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I found 27 essays from Cambridge practice tests so books like that
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and all the essays are graded by official IELTS examiners as you can see each essay comes with a score
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and examiner's notes so I uploaded these essays into chat apt one by one
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and what I found could save you weeks of or wasted preparation.
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So let's take the first essay and upload it with the same prompt as before.
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So chattypt thinks it's a band 6 but I see two problems.
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So first the grammar score is listed as 5 .5
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but in IELTS you can only get a band 5 or band 6 for each criterion not 5 .5.
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So this would be a band 5.
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And the overall score wouldn't be a 6 either.
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To get a band 6 overall you need at least a 6 in each criterion.
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But in any case the examiner's score for this essay is a band 7, not a 6.
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Next essay, band 5 .5 according to HRGPT, but again the examiner gave it a 7.
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And that's a huge difference.
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Essay 3.
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So Chair GPT says band 5.
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Yet once again this is a band 7.
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Now look at this one.
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Chair GPT calls it a 5 .5 but the examiner's score is a band 8.
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That's a two and a half band difference
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and I'm going to show you the essay on the screen it's really good how could it possibly be 5 .5
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At this point I started wondering whether it even made sense to continue.
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Every essay I'd sent so far had been undervalued by at least one full band
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and in some cases by two and a half bands.
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But then I realized something.
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Maybe the scores dropped after I told chat GPT not to use half bands when marking individual criteria.
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So I started a brand new chat with just the initial prompt and things began to improve.
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Suddenly there was a correct score band 6
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when it was really a band 6
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and overall these scores were now mostly just half a band lower than they should be which
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Which honestly isn't bad for a language model compared to a trained human examiner.
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But here's the thing.
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Not a single essay got a score higher than it deserved.
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The result was either accurate or too low.
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That said, this wasn't a perfect experiment.
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Most of the essays were between bands 5 and 7.
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Only one was a band 8 and none were a band 9.
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but we really want to know if you write a brilliant essay band 8
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or 9 will chat gpt recognize it or any other language model
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so i took my own essay and another written by one of our examiners
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and tested them exactly the same way i tested maria's essay first
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i sent both to a different former examiner for scoring not the author to avoid any conflict of interest
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and let's start with my essay then kevin's
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and finally see how the other examiner scored all three of us including maria
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so let me send my essay to chdpt okay a band 8 for task response band 8 for coherence
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Basically a band 8 for the whole essay.
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Well that's more inspiring.
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What if we try the smartest model 4 .5?
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Is it gonna be any different?
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Actually no it's still a band 8 but with a band 9 for grammar so thank you very much.
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And now Claude.
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I know a lot of people love it so I thought we should definitely check it.
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Okay, so it gave me event 7 for vocabulary and grammar and 7 .5 overall.
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Not exactly the kind of examiner I'd want in my test.
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I got an 8 .5 in the real exam and this essay better.
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What about Deep Seek?
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To be honest it's my first time using it.
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A vent 8. And Gemini?
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Oh really?
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A vent 7?
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Oh wait look!
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It gave a vent 7 in every criterion but the overall score is 7 .5.
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Gemini why how does it even work well it gave a long reply
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and to be honest it's total rubbish
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it's not even worth reading to you it seems i'm feeling a bit protective of my essay
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so let's take Kevin's essay and see how well our examiner did it should be fun so chatty bitty band eight
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And this smarter model.. hmm, that's also a band 8.
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It's quite strange actually.
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I did them all and Kevin's essay got exactly the same scores as mine.
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How is it possible when two different people wrote them?
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I'm not sure.
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But the key question is what did our other examiner award us?
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So my essay scored between 8 .5 and 9 and Kevin's got 8 .5.
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I didn't tell the other examiner whose essays they were,
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I just sent them as 1 -2 -3 and Kevin if you're watching this 8 .5 is a fantastic score.
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So it seems that for essays with really high scores language models do give relatively high scores.
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But there is one more score left and the one that matters most.
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Maria's essay.
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The whole reason why we started this experiment.
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And Maria's essay got an 8.
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Imagine you are writing band 8 essays but every time you check with Chagipity it tells you you're band 6.
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What would bad due to your motivation and Maria isn't the only one either here is another message I received
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This candidate also got 6 .5 to 7 by CHAT -EPT, but an 8 in a real exam.
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So, what can we take away from this?
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First of all, AI tends to underrate essays rather than overrate them.
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This means if you are relying on AI feedback, you might think you are doing worse than you really are.
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2. The gap is the biggest for mid -band essays.
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So band 5 and 6 essays were sometimes pretty close, maybe half a band off.
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But 7 and 8 essays were often underrated by one or even two full bands.
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3. AI can recognize quality, it knows when an essay is good.
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But it really struggles to award those top -level scores.
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And AI doesn't follow IELTS scoring rules correctly, like using half -bands when they don't even exist.
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And finally, the results vary a lot between models.
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So use AI to check your vocabulary and grammar, or get help with ideas and flow.
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But don't rely on it for scoring.
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Instead, learn the requirements examiners use for yourself
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and I go through every single one of them while writing a full answer in this video here.
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And thank you so much for watching me today.
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Good luck with your preparation and your exam.
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Bye!
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale s’appuie sur la vidéo « ChatGPT vs. IELTS Examiner: Writing ». Les mots qui reviennent le plus souvent : band, essay, score, examiner, model. Cette vidéo contient 136 phrases et 1452 mots à répéter en shadowing. La partie parlée dure 11:39. Le locuteur parle à un rythme régulier d’environ 125 mots par minute, confortable pour le shadowing. Seuls 78 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| essay nom | /ˈɛs.eɪ/ | essai, rédaction |
| examiner nom | /əɡˈzæmɪnɚ/ | examinateur, examinatrice |
| grammar nom | /ˈɡɹæm.ə(ɹ)/ | grammaire |
| examination nom | /ɪɡˌzæm.ɪˈneɪ.ʃən/ | examen |
| prompt verbe | /pɹɑmpt/ | inciter |
| vocabulary nom | /vəˈkæb.jə.lə.ɹi/ | vocabulaire, lexique |
| experiment nom | /ɪkˈspɛɹ.ə.mənt/ | expérience |
| preparation nom | /ˌpɹɛpəˈɹeɪʃ(ə)n/ | préparation, concoction |
| ventilation nom | /ˌvɛntɪˈleɪʃ(ə)n/ | ventilation, aération |
| compare verbe | /kəmˈpɛɚ/ | comparer |
| rely verbe | /ɹɪˈlaɪ/ | compter sur |
| upload verbe | /ˈʌpˌloʊd/ | téléverser, télécharger |
| assessment nom | /əˈsɛsmənt/ | évaluation |
| explanation nom | /ˌɛkspləˈneɪʃən/ | explication |
| resource nom | /ɹɪˈzɔːs/ | ressource |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| go through verbe | traverser |
Des phrases à répéter
Des phrases courtes et complètes de la vidéo, à réutiliser dans la conversation de tous les jours :
- What can I do?
- Are you sure this score is so low?
- To be honest it's my first time using it.
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Present perfect continu have/has been + -ing — une action commencée avant et toujours en cours | I've been testing · I've been preparing |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | are graded · is listed · had been undervalued |
Prononciation à surveiller
Le locuteur utilise 21 contractions et formes réduites, comme I'm, don't, gonna. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « sh » et « zh »: examination /ɪɡˌzæm.ɪˈneɪ.ʃən/, preparation /ˌpɹɛpəˈɹeɪʃ(ə)n/, ventilation /ˌvɛntɪˈleɪʃ(ə)n/, explanation /ˌɛkspləˈneɪʃən/, motivation /ˈmoʊ.tə.veɪ.ʃən/
- Mots longs — placez bien l’accent: examiner /əɡˈzæmɪnɚ/, examination /ɪɡˌzæm.ɪˈneɪ.ʃən/, vocabulary /vəˈkæb.jə.lə.ɹi/, experiment /ɪkˈspɛɹ.ə.mənt/, preparation /ˌpɹɛpəˈɹeɪʃ(ə)n/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: coherence /koʊˈhɪɹ.ən(t)s/, cohesion /kəʊˈhiː.ʒən/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: generous /ˈd͡ʒɛn(ə)ɹəs/, chatty /ˈt͡ʃæti/
- /r/ anglais — langue recourbée, sans frotter la gorge: grammar /ˈɡɹæm.ə(ɹ)/, prompt /pɹɑmpt/, vocabulary /vəˈkæb.jə.lə.ɹi/, experiment /ɪkˈspɛɹ.ə.mənt/, preparation /ˌpɹɛpəˈɹeɪʃ(ə)n/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Répétez phrase par phrase à vitesse normale, en reprenant chacune jusqu’à ce que votre rythme corresponde à celui du locuteur.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme essay, examiner, grammar.
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.