शैडोइंग अभ्यास: ChatGPT vs. IELTS Examiner: Writing - वीडियो के साथ अंग्रेजी बोलना सीखें

अभ्यास मोड चुनें

हर मोड पूरी स्क्रीन का अभ्यास कक्ष खोलता है।

136 वाक्य

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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.

For this video I took 30 real essays and compared AI band scores to real examiner scores.

So let's look at what happened and what it means for your preparation.

It all started when I received this message from Maria.

I've been preparing for my IELTS for five months.

But I think I'm gonna fail my exam anyway.

I get bent eight or nine in listening and reading.

But writing almost never reaches span seven.

I must score a seven everywhere to start my master's in September.

What can I do?

Well, Marie had been using chat APT to check how good her essays were

and i decided to do the same i took one of her essays

and gave this prompt to chat gpt

you are an experienced ielts examiner who assesses ielts writing task

2 essays using the ielts band descriptors give me the band scores for the four assessment criteria

and the overall task 2 band score.

I posted the essay and the result stunned me.

Task response or how well you respond to the task band 6.

Coherence and cohesion or the flow and structure of your essay band 6.

Lexical resource or vocabulary band 6.

Grammar and overall band 6.

Are you sure this score is so low?

I asked.

And ChattyPT gave me a full explanation of why it couldn't possibly be any higher.

So I sent the same essay using the same prompt to several other language models.

Claude gave a band 7 for task response and coherence and cohesion but only band 6 for vocabulary and grammar,

which resulted in an overall 6 .5.

DeepSeek was more generous, giving a band 7.

Gemini also landed at a band 6.

And since I have a paid subscription for Chagipity, I could test its latest 4 .5 model with more advanced reasoning,

or at least definitely the slowest model.

And that one gave a band 7.

To be honest, none of that looked right to me.

So we decided to conduct a more thorough experiment and see if AI can actually give accurate scores,

which models perform better, and if the scores are wrong, are they usually too high or too low.

A St. Marie's essay to a former IELTS examiner on our team and while I was waiting.

I found 27 essays from Cambridge practice tests so books like that

and all the essays are graded by official IELTS examiners as you can see each essay comes with a score

and examiner's notes so I uploaded these essays into chat apt one by one

and what I found could save you weeks of or wasted preparation.

So let's take the first essay and upload it with the same prompt as before.

So chattypt thinks it's a band 6 but I see two problems.

So first the grammar score is listed as 5 .5

but in IELTS you can only get a band 5 or band 6 for each criterion not 5 .5.

So this would be a band 5.

And the overall score wouldn't be a 6 either.

To get a band 6 overall you need at least a 6 in each criterion.

But in any case the examiner's score for this essay is a band 7, not a 6.

Next essay, band 5 .5 according to HRGPT, but again the examiner gave it a 7.

And that's a huge difference.

Essay 3.

So Chair GPT says band 5.

Yet once again this is a band 7.

Now look at this one.

Chair GPT calls it a 5 .5 but the examiner's score is a band 8.

That's a two and a half band difference

and I'm going to show you the essay on the screen it's really good how could it possibly be 5 .5

At this point I started wondering whether it even made sense to continue.

Every essay I'd sent so far had been undervalued by at least one full band

and in some cases by two and a half bands.

But then I realized something.

Maybe the scores dropped after I told chat GPT not to use half bands when marking individual criteria.

So I started a brand new chat with just the initial prompt and things began to improve.

Suddenly there was a correct score band 6

when it was really a band 6

and overall these scores were now mostly just half a band lower than they should be which

Which honestly isn't bad for a language model compared to a trained human examiner.

But here's the thing.

Not a single essay got a score higher than it deserved.

The result was either accurate or too low.

That said, this wasn't a perfect experiment.

Most of the essays were between bands 5 and 7.

Only one was a band 8 and none were a band 9.

but we really want to know if you write a brilliant essay band 8

or 9 will chat gpt recognize it or any other language model

so i took my own essay and another written by one of our examiners

and tested them exactly the same way i tested maria's essay first

i sent both to a different former examiner for scoring not the author to avoid any conflict of interest

and let's start with my essay then kevin's

and finally see how the other examiner scored all three of us including maria

so let me send my essay to chdpt okay a band 8 for task response band 8 for coherence

Basically a band 8 for the whole essay.

Well that's more inspiring.

What if we try the smartest model 4 .5?

Is it gonna be any different?

Actually no it's still a band 8 but with a band 9 for grammar so thank you very much.

And now Claude.

I know a lot of people love it so I thought we should definitely check it.

Okay, so it gave me event 7 for vocabulary and grammar and 7 .5 overall.

Not exactly the kind of examiner I'd want in my test.

I got an 8 .5 in the real exam and this essay better.

What about Deep Seek?

To be honest it's my first time using it.

A vent 8. And Gemini?

Oh really?

A vent 7?

Oh wait look!

It gave a vent 7 in every criterion but the overall score is 7 .5.

Gemini why how does it even work well it gave a long reply

100

and to be honest it's total rubbish

101

it's not even worth reading to you it seems i'm feeling a bit protective of my essay

102

so let's take Kevin's essay and see how well our examiner did it should be fun so chatty bitty band eight

103

And this smarter model.. hmm, that's also a band 8.

104

It's quite strange actually.

105

I did them all and Kevin's essay got exactly the same scores as mine.

106

How is it possible when two different people wrote them?

107

I'm not sure.

108

But the key question is what did our other examiner award us?

109

So my essay scored between 8 .5 and 9 and Kevin's got 8 .5.

110

I didn't tell the other examiner whose essays they were,

111

I just sent them as 1 -2 -3 and Kevin if you're watching this 8 .5 is a fantastic score.

112

So it seems that for essays with really high scores language models do give relatively high scores.

113

But there is one more score left and the one that matters most.

114

Maria's essay.

115

The whole reason why we started this experiment.

116

And Maria's essay got an 8.

117

Imagine you are writing band 8 essays but every time you check with Chagipity it tells you you're band 6.

118

What would bad due to your motivation and Maria isn't the only one either here is another message I received

119

This candidate also got 6 .5 to 7 by CHAT -EPT, but an 8 in a real exam.

120

So, what can we take away from this?

121

First of all, AI tends to underrate essays rather than overrate them.

122

This means if you are relying on AI feedback, you might think you are doing worse than you really are.

123

2. The gap is the biggest for mid -band essays.

124

So band 5 and 6 essays were sometimes pretty close, maybe half a band off.

125

But 7 and 8 essays were often underrated by one or even two full bands.

126

3. AI can recognize quality, it knows when an essay is good.

127

But it really struggles to award those top -level scores.

128

And AI doesn't follow IELTS scoring rules correctly, like using half -bands when they don't even exist.

129

And finally, the results vary a lot between models.

130

So use AI to check your vocabulary and grammar, or get help with ideas and flow.

131

But don't rely on it for scoring.

132

Instead, learn the requirements examiners use for yourself

133

and I go through every single one of them while writing a full answer in this video here.

134

And thank you so much for watching me today.

135

Good luck with your preparation and your exam.

136

Bye!

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इस पाठ की शब्दावली और बोलने के सुझाव

यह स्पीकिंग पाठ वीडियो “ChatGPT vs. IELTS Examiner: Writing” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: band, essay, score, examiner, model। इस वीडियो में शैडोइंग के लिए 136 वाक्य और 1452 शब्द हैं। बोला गया हिस्सा 11:39 लंबा है। वक्ता लगभग 125 शब्द प्रति मिनट की स्थिर गति से बोलता है, जो शैडोइंग के लिए आरामदायक है। केवल 78% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली कठिन है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
essay संज्ञा	/ˈɛs.eɪ/	निबंध
examiner संज्ञा	/əɡˈzæmɪnɚ/	जाँचकर्ता
grammar संज्ञा	/ˈɡɹæm.ə(ɹ)/	व्याकरण, ब्याकरण
examination संज्ञा	/ɪɡˌzæm.ɪˈneɪ.ʃən/	परीक्षण
vocabulary संज्ञा	/vəˈkæb.jə.lə.ɹi/	शब्दावली
experiment संज्ञा	/ɪkˈspɛɹ.ə.mənt/	प्रयोग, तजुर्बा
preparation संज्ञा	/ˌpɹɛpəˈɹeɪʃ(ə)n/	तैयारी
compare क्रिया	/kəmˈpɛɚ/	तौलना
upload क्रिया	/ˈʌpˌloʊd/	चढ़ाना, उपारोपण
assessment संज्ञा	/əˈsɛsmənt/	निर्धारण, मूल्यांकन
explanation संज्ञा	/ˌɛkspləˈneɪʃən/	स्पष्टीकरण, समझाना
resource संज्ञा	/ɹɪˈzɔːs/	संसाधन
feedback संज्ञा	/ˈfiːdˌbæk/	प्रतिपुष्टि, प्रतिक्रिया
requirement संज्ञा	/ɹɪˈkwaɪɹmənt/	आवश्यकता, अनिवार्यता
motivation संज्ञा	/ˈmoʊ.tə.veɪ.ʃən/	अभिप्रेरण, प्रेरणा

दोहराने लायक वाक्य

वीडियो के छोटे, पूरे वाक्य जिन्हें आप रोज़ की बातचीत में इस्तेमाल कर सकते हैं:

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

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
Present perfect continuous have/has been + -ing — पहले शुरू हुआ काम जो अब भी जारी है	I've been testing · I've been preparing
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है	are graded · is listed · had been undervalued

ध्यान देने योग्य उच्चारण

वक्ता 21 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे I'm, don't, gonna। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“sh” और “zh” की ध्वनियाँ: examination /ɪɡˌzæm.ɪˈneɪ.ʃən/, preparation /ˌpɹɛpəˈɹeɪʃ(ə)n/, ventilation /ˌvɛntɪˈleɪʃ(ə)n/, explanation /ˌɛkspləˈneɪʃən/, motivation /ˈmoʊ.tə.veɪ.ʃən/
लंबे शब्द — बलाघात सही रखें: examiner /əɡˈzæmɪnɚ/, examination /ɪɡˌzæm.ɪˈneɪ.ʃən/, vocabulary /vəˈkæb.jə.lə.ɹi/, experiment /ɪkˈspɛɹ.ə.mənt/, preparation /ˌpɹɛpəˈɹeɪʃ(ə)n/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

/v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: vocabulary /vəˈkæb.jə.lə.ɹi/, ventilation /ˌvɛntɪˈleɪʃ(ə)n/, requirement /ɹɪˈkwaɪɹmənt/, vary /ˈvɛəɹi/, motivation /ˈmoʊ.tə.veɪ.ʃən/
/z/ — इसे “ज” (/dʒ/) न बनाएँ: examiner /əɡˈzæmɪnɚ/, examination /ɪɡˌzæm.ɪˈneɪ.ʃən/, resource /ɹɪˈzɔːs/
शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: spin /spɪn/, stun /stʌn/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
सामान्य गति पर एक-एक वाक्य की शैडोइंग करें और हर वाक्य तब तक दोहराएँ जब तक आपकी लय वक्ता से न मिल जाए।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर essay, examiner, grammar जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: ChatGPT vs. IELTS Examiner: Writing - वीडियो के साथ अंग्रेजी बोलना सीखें

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इस पाठ की शब्दावली और बोलने के सुझाव

इस वीडियो की मुख्य शब्दावली

दोहराने लायक वाक्य

इस वीडियो का व्याकरण

ध्यान देने योग्य उच्चारण

इस वीडियो से अभ्यास कैसे करें

शैडोइंग तकनीक क्या है?