쉐도잉 연습: Why AI adoption fails—and how to fix it | Pam Maynard - 영상으로 영어 말하기 배우기
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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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이 레슨의 어휘와 말하기 포인트
이 영상에는 섀도잉할 문장 49개와 단어 703개가 있습니다. 말하는 구간의 길이는 5:15입니다. 화자는 분당 약 134단어의 일정한 속도로 말해서 섀도잉하기에 편한 속도입니다. 단어의 87%가 영어에서 가장 많이 쓰이는 3,000단어에 속해 어휘가 쉬운 편입니다.
이 영상의 핵심 어휘
영상에 나오는 익혀 둘 만한 단어 14개를 발음, 뜻과 함께 정리했습니다.
| 단어 | 발음 | 뜻 |
|---|---|---|
| adoption 명사 | /əˈdɑp.ʃən/ | 입양 |
| skill 명사 | /skɪl/ | 기술, 스킬 |
| solve 동사 | /sɒlv/ | 해결하다 |
| overcome 동사 | /ˌəʊ.vəˈkʌm/ | 극복하다, 이겨내다 |
| workforce 명사 | /ˈwɝk.foɹs/ | 노동력, 로동력 |
| prompt 동사 | /pɹɑmpt/ | 부추기다 |
| reinforce 동사 | /ˌɹiː.ɪnˈfɔːs/ | 보강하다 |
| membership 명사 | 회원, 멤버십 | |
| aspect 명사 | /ˈæspɛkt/ | 양상 |
| innovation 명사 | /ˌɪn.əˈveɪ.ʃən/ | 혁신 |
| transformation 명사 | /ˌtɹæns.fɔɹˈmeɪ.ʃən/ | 변형, 변환 |
| reluctant 형용사 | /ɹɪˈlʌktənt/ | 싫어하다 |
| cautious 형용사 | /ˈkɔːʃəs/ | 조심스럽다, 신중하다 |
| refresh 동사 | /ɹɪˈfɹɛʃ/ | 새롭게 하다 |
영상에 나오는 구동사
| 단어 | 뜻 |
|---|---|
| go back 동사 | 돌아가다 |
주의할 발음
화자는 you're, aren't, don't 같은 축약형과 약화된 형태를 13번 사용합니다. 들리는 대로 짧게 발음하세요.
- “sh”와 “zh” 소리: adoption /əˈdɑp.ʃən/, potentially /pəˈtɛnʃ(ə)li/, innovation /ˌɪn.əˈveɪ.ʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, cautious /ˈkɔːʃəs/
- 긴 단어 — 강세 위치에 주의: potentially /pəˈtɛnʃ(ə)li/, innovation /ˌɪn.əˈveɪ.ʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, skepticism /ˈskɛp.tɪˌsɪ.zəm/, digitally /ˈdɪd͡ʒɪtəli/
이 영상으로 연습하는 방법
- 먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
- 보통 속도로 한 문장씩 섀도잉하고, 화자의 리듬과 맞을 때까지 반복합니다.
- 자신의 목소리를 녹음해 원본과 비교하고, adoption, skill, solve 같은 단어에 특히 주의합니다.
이 영상의 문법
화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.
| 문형 | 영상 속 표현 |
|---|---|
| 현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때 | have been · they've had |
| 수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점 | being left · were surfaced |
| 관계절 who / which + 절 — 사람이나 사물에 대한 추가 정보 | people who have · people who are |
쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법
쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.