Shadowing Practice: Why AI adoption fails—and how to fix it | Pam Maynard - Learn English Speaking with Video
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It's important to recognize that everybody's at different stages when it comes to AI adoption.
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Some of us are almost digitally native, AI native as we enter the workforce.
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Whereas sometimes there are people who have been in the workforce a very long time and are less comfortable with the technology.
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So I think it's really important as you think about how you drive your adoption strategies
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that there's no one size fits all.
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And you need to consider that.
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So in terms of getting skeptics on board or people who are more reluctant or maybe more hesitant,
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the first thing is making sure that they've had the training available to them.
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Because sometimes some of that hesitancy comes from the fact they just don't know how to use the technology.
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So equipping people with the technology, equipping people with the training,
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the dedicated training, thinking about,
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you know, is there role -specific AI training?
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That can help, you know, just to help people to feel more confident with the technology, not just teaching people or telling people how to use the AI,
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but potentially nudging people so they continue to use the AI in their flow of work.
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So that might be that every day you're sending a prompt of the day to everybody on the team.
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get the prompt as well as those people that are less advanced, but they're getting that help.
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Everybody is getting that help.
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And then also, you're making sure that people aren't being left behind.
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So you're continuing to refresh that training, you're spotting where people, you know, maybe more cautious or more skeptical,
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they aren't getting the training they need, and you're going back and reinforcing those skilling and training programs.
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So the first thing is, you know, equipping people with the skills with AI and helping them to understand how to use the AI.
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The second piece is, you know, is going and talking to them, going to where we see the skepticism and understanding what those issues might be.
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Having a conversation and helping them to understand how AI can actually help them them.
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So going and having the conversation can also help to overcome the skepticism and then move people on.
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And then the other piece is just continue to watch and look at the usage.
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of the AI, where maybe where you're seeing that falling off, is to go back and have some of those reinforcing conversations.
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Because change and adoption does ebb and flow through your AI transformation journey.
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And so continuing to look at those statistics, continuing to look at usage, continuing to have the conversation with people in the organization,
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and continuing to support them as needed, will help to overcome the skepticism.
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The next piece is about unlocking the ideation.
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You're going to have people in the team who are already pretty AI savvy, and you're going to have people in the team who are less so.
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And so how do you create an environment within the team?
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Just looking for opportunities for the team to learn together is hugely important in that aspect.
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That helps them to surface those ideas as how AI can really help them as an assistant to get work done.
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Some companies will run hackathons
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or they will run innovation days similar to sort of shark tank competitions across a period of time.
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We worked with a customer that actually did this in their organization.
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team with AI and they ran a big training event so everybody understood how they could use AI.
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And then they basically allowed them to work in small teams to solve problems that they could see in the business,
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come up with ideas to solve problems that they could see in the business.
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And that led through to where the leadership team looked at all the ideas that were surfaced.
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present those ideas.
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And then they chose the top two or three ideas.
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Those teams then got to implement their ideas in the business.
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They saw their AI ideas come to life.
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That was huge.
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It was galvanizing.
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It was energizing across that business.
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Bu dersin kelimeleri ve konuşma notları
Bu videoda gölgeleme çalışması için 49 cümle ve 703 kelime var. Konuşma bölümü 5:15 sürüyor. Konuşmacı dakikada yaklaşık 134 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin %87’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığını takip etmek kolay.
Bu videodaki önemli kelimeler
Videodan öğrenmeye değer 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| adoption isim | /əˈdɑp.ʃən/ | evlat edinme |
| equip fiil | /ɪˈkwɪp/ | donatmak |
| skill isim | /skɪl/ | beceri, maharet |
| solve fiil | /sɒlv/ | çözmek, halletmek |
| overcome fiil | /ˌəʊ.vəˈkʌm/ | yenmek, atlatmak |
| workforce isim | /ˈwɝk.foɹs/ | işgücü |
| reinforce fiil | /ˌɹiː.ɪnˈfɔːs/ | sağlamlaştırmak, kuvvetlendirmek |
| membership isim | üyelik | |
| innovation isim | /ˌɪn.əˈveɪ.ʃən/ | inovasyon, yenilik |
| implement fiil | /ˈɪmpləmənt/ | tatbik etmek, uygulamak |
| unlock fiil | /ʌnˈlɑk/ | açmak, kilidini açmak |
| reluctant sıfat | /ɹɪˈlʌktənt/ | isteksiz, gönülsüz |
| cautious sıfat | /ˈkɔːʃəs/ | dikkatli, ihtiyatlı |
| skeptical sıfat | /ˈskɛptɪkəl/ | kuşkucu, septik |
| savvy sıfat | /ˈsæv.i/ | akıllı, kurnaz |
Dikkat edilecek telaffuzlar
Konuşmacı you're, aren't, don't gibi kısaltılmış biçimleri 13 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “sh” ve “zh” sesleri: adoption /əˈdɑp.ʃən/, potentially /pəˈtɛnʃ(ə)li/, innovation /ˌɪn.əˈveɪ.ʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, cautious /ˈkɔːʃəs/
- Uzun kelimeler — vurguyu doğru yere koyun: potentially /pəˈtɛnʃ(ə)li/, innovation /ˌɪn.əˈveɪ.ʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, skepticism /ˈskɛp.tɪˌsɪ.zəm/, digitally /ˈdɪd͡ʒɪtəli/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- Normal hızda cümle cümle tekrar edin; ritminiz konuşmacıyla aynı olana kadar her cümleyi yineleyin.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; adoption, equip, skill gibi kelimelere özellikle dikkat edin.
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | have been · they've had |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | being left · were surfaced |
| İlgi cümlecikleri who / which + cümle — bir kişi ya da şey hakkında ek bilgi | people who have · people who are |
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.