Shadowing Practice: ChatGPT vs. IELTS Examiner: Writing - Learn English Speaking with Video

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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!

Uygulamayı İndir

Akıcı konuşmak için ihtiyacınız olan her şey

AI TelaffuzHer cümleyi puanla
IPA AlıştırmasıHer sesi ustalaştır
Kelime BilgisiKelime bankanızı oluşturun
Kelime OyunuOynarken öğrenin

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Video Öner

Bu dersin kelimeleri ve konuşma notları

Bu konuşma dersi “ChatGPT vs. IELTS Examiner: Writing” videosuna dayanıyor. En çok tekrarlanan kelimeler: band, essay, score, examiner, model. Bu videoda gölgeleme çalışması için 136 cümle ve 1452 kelime var. Konuşma bölümü 11:39 sürüyor. Konuşmacı dakikada yaklaşık 125 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin yalnızca %78’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
essay isim/ˈɛs.eɪ/deneme, kompozisyon
grammar isim/ˈɡɹæm.ə(ɹ)/dil bilgisi, gramer
examination isim/ɪɡˌzæm.ɪˈneɪ.ʃən/imtihan etmek, sınav yamak
vocabulary isim/vəˈkæb.jə.lə.ɹi/kelime hazinesi, kelime kadrosu
experiment isim/ɪkˈspɛɹ.ə.mənt/deney (n), tecrübe
preparation isim/ˌpɹɛpəˈɹeɪʃ(ə)n/hazırlık
compare fiil/kəmˈpɛɚ/karşılaştırmak, kıyaslamak
explanation isim/ˌɛkspləˈneɪʃən/açıklama
resource isim/ɹɪˈzɔːs/kaynak
spin fiil/spɪn/dolanmak, dönmek
feedback isim/ˈfiːdˌbæk/geri bildirim
requirement isim/ɹɪˈkwaɪɹmənt/gereklilik, zaruret
motivation isim/ˈmoʊ.tə.veɪ.ʃən/güdü, motivasyon
generous sıfat/ˈd͡ʒɛn(ə)ɹəs/cömert, eli açık
bend fiil/bɛnd/bükmek

Tekrar etmeye değer cümleler

Videodan, günlük konuşmada yeniden kullanabileceğiniz kısa ve tam cümleler:

  • What can I do?
  • Are you sure this score is so low?
  • To be honest it's my first time using it.

Bu videodaki dil bilgisi

Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:

YapıVideoda
Present perfect continuous have/has been + -ing — önceden başlayıp hâlâ süren bir eylemI've been testing · I've been preparing
Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemliare graded · is listed · had been undervalued

Dikkat edilecek telaffuzlar

Konuşmacı I'm, don't, gonna gibi kısaltılmış biçimleri 21 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

  • “sh” ve “zh” sesleri: examination /ɪɡˌzæm.ɪˈneɪ.ʃən/, preparation /ˌpɹɛpəˈɹeɪʃ(ə)n/, ventilation /ˌvɛntɪˈleɪʃ(ə)n/, explanation /ˌɛkspləˈneɪʃən/, motivation /ˈmoʊ.tə.veɪ.ʃən/
  • Uzun kelimeler — vurguyu doğru yere koyun: examiner /əɡˈzæmɪnɚ/, examination /ɪɡˌzæm.ɪˈneɪ.ʃən/, vocabulary /vəˈkæb.jə.lə.ɹi/, experiment /ɪkˈspɛɹ.ə.mənt/, preparation /ˌpɹɛpəˈɹeɪʃ(ə)n/

Türkçe konuşanların zorlandığı sesler:

  • Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: grammar /ˈɡɹæm.ə(ɹ)/, prompt /pɹɑmpt/, preparation /ˌpɹɛpəˈɹeɪʃ(ə)n/, spin /spɪn/, protective /pɹəˈtɛk.tɪv/
  • /æ/ — “e”den daha açık: examiner /əɡˈzæmɪnɚ/, grammar /ˈɡɹæm.ə(ɹ)/, examination /ɪɡˌzæm.ɪˈneɪ.ʃən/, vocabulary /vəˈkæb.jə.lə.ɹi/, feedback /ˈfiːdˌbæk/

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; essay, grammar, examination 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 →