シャドーイング練習: Why AI adoption fails—and how to fix it | Pam Maynard - 動画で英語スピーキングを学ぶ
練習モードを選ぶ
各モードは全画面の練習ルームで開きます。
49 文
文が短すぎたり長すぎる場合は、Editをタップして調整してください。
1
It's important to recognize that everybody's at different stages when it comes to AI adoption.
2
Some of us are almost digitally native, AI native as we enter the workforce.
3
Whereas sometimes there are people who have been in the workforce a very long time and are less comfortable with the technology.
4
So I think it's really important as you think about how you drive your adoption strategies
5
that there's no one size fits all.
6
And you need to consider that.
7
So in terms of getting skeptics on board or people who are more reluctant or maybe more hesitant,
8
the first thing is making sure that they've had the training available to them.
9
Because sometimes some of that hesitancy comes from the fact they just don't know how to use the technology.
10
So equipping people with the technology, equipping people with the training,
11
the dedicated training, thinking about,
12
you know, is there role -specific AI training?
13
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,
14
but potentially nudging people so they continue to use the AI in their flow of work.
15
So that might be that every day you're sending a prompt of the day to everybody on the team.
16
get the prompt as well as those people that are less advanced, but they're getting that help.
17
Everybody is getting that help.
18
And then also, you're making sure that people aren't being left behind.
19
So you're continuing to refresh that training, you're spotting where people, you know, maybe more cautious or more skeptical,
20
they aren't getting the training they need, and you're going back and reinforcing those skilling and training programs.
21
So the first thing is, you know, equipping people with the skills with AI and helping them to understand how to use the AI.
22
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.
23
Having a conversation and helping them to understand how AI can actually help them them.
24
So going and having the conversation can also help to overcome the skepticism and then move people on.
25
And then the other piece is just continue to watch and look at the usage.
26
of the AI, where maybe where you're seeing that falling off, is to go back and have some of those reinforcing conversations.
27
Because change and adoption does ebb and flow through your AI transformation journey.
28
And so continuing to look at those statistics, continuing to look at usage, continuing to have the conversation with people in the organization,
29
and continuing to support them as needed, will help to overcome the skepticism.
30
The next piece is about unlocking the ideation.
31
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.
32
And so how do you create an environment within the team?
33
Just looking for opportunities for the team to learn together is hugely important in that aspect.
34
That helps them to surface those ideas as how AI can really help them as an assistant to get work done.
35
Some companies will run hackathons
36
or they will run innovation days similar to sort of shark tank competitions across a period of time.
37
We worked with a customer that actually did this in their organization.
38
team with AI and they ran a big training event so everybody understood how they could use AI.
39
And then they basically allowed them to work in small teams to solve problems that they could see in the business,
40
come up with ideas to solve problems that they could see in the business.
41
And that led through to where the leadership team looked at all the ideas that were surfaced.
42
present those ideas.
43
And then they chose the top two or three ideas.
44
Those teams then got to implement their ideas in the business.
45
They saw their AI ideas come to life.
46
That was huge.
47
It was galvanizing.
48
It was energizing across that business.
49
To watch the full class, become a member at bigthink .com slash membership.
アプリをダウンロード
流暢に話すために必要なすべて
AI発音採点文ごとに採点
IPA練習すべての音をマスター
単語学習自分の単語帳を作る
単語ゲーム遊びながら覚える
同じチャンネル
B22
People don’t buy ideas. They buy you. | Robert Herjavec
Business EnglishWorking Adults
B25
How to reinforce the right behaviors | Amanda Joiner
Business EnglishWorking Adults
C11
The art of not wasting people’s time in meetings | Priya Parker
Business EnglishWorking Adults
C115
Making an Impact at Work | Liz Wiseman
Business EnglishWorking Adults
C13
The 3 adjectives that determine how far you go at work | Carla Harris
Business EnglishWorking Adults
C113
The emotional cost of change, and how to use it to your advantage | Cassandra Worthy
Business EnglishWorking Adults
B23
Conflict makes smart people irrational. Here’s how to stay in control | Amy Gallo
Business EnglishWorking Adults
C11
The 6 Disciplines of Strategic Thinking | Michael Watkins
Business EnglishUniversity StudentsWorking Adults
B23
The dangers of being agreeable | Amy Edmondson
Business EnglishUniversity StudentsWorking Adults
C13
The daily routine that fixes your ability to focus | Amishi Jha
Business EnglishUniversity StudentsWorking Adults
B21
The leadership mistake high performers make | Carla Harris
Business EnglishUniversity StudentsWorking Adults
FOR YOU
おすすめ動画
B23
260 文
It’s Actually Pretty Easy to Get Ahead of 99% of People with AI
Business EnglishWorking Adults
B21
198 文
How to keep people’s attention in work presentations as an expert in your domain
Business EnglishWorking Adults
C1115 文
Novanta CIO Sarah Betadam on managing risk around AI
Business EnglishWorking Adults
C14
36 文
Overcoming Service Blueprinting Frustrations
Business EnglishWorking Adults
B22
37 文
Interview Smarter: How to Hire for Skills and Culture Fit | 3 Minute Brief
Business EnglishWorking Adults
B21
564 文
AI-First Playbook: Do a Team's Work With AI (2026) | Peter Yang
Business EnglishWorking Adults
B24
49 文
What Happens When You Rely on Data Alone
Business EnglishWorking Adults
B24
56 文
I was wrong about AI replacing VAs. Here's what I actually think in 2026.
Business EnglishWorking Adults
B25
86 文
How self awareness solves problems
Business EnglishUniversity StudentsWorking Adults
C11
315 文
how AI broke the SWE Career Ladder
Business EnglishInterview EnglishUniversity Students
B22
25 文
AI's Impact on Education: Pros, Cons, and Coping
Business EnglishUniversity StudentsWorking Adults
このレッスンの語彙とスピーキングのポイント
この動画には、シャドーイング用の文が49文、単語が703語あります。 音声の長さは5:15です。 話す速さは1分あたり約134語で安定しており、シャドーイングしやすいペースです。 単語の87%は英語の頻出3,000語に含まれるため、語彙は分かりやすいです。
この動画の重要語彙
動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。
| 単語 | 発音 | 意味 |
|---|---|---|
| adoption 名詞 | /əˈdɑp.ʃən/ | 養子縁組 |
| equip 動詞 | /ɪˈkwɪp/ | 装着 |
| skill 名詞 | /skɪl/ | 腕, 技 |
| solve 動詞 | /sɒlv/ | 解決する |
| overcome 動詞 | /ˌəʊ.vəˈkʌm/ | 克服する, 征服する |
| usage 名詞 | /ˈjuːsɪd͡ʒ/ | 使い方 |
| workforce 名詞 | /ˈwɝk.foɹs/ | 労働力, 労働人口 |
| reinforce 動詞 | /ˌɹiː.ɪnˈfɔːs/ | 補強する, 加強 |
| membership 名詞 | 会員 | |
| aspect 名詞 | /ˈæspɛkt/ | 様相 |
| innovation 名詞 | /ˌɪn.əˈveɪ.ʃən/ | イノベーション, 革新 |
| transformation 名詞 | /ˌtɹæns.fɔɹˈmeɪ.ʃən/ | 変形, 変換 |
| implement 動詞 | /ˈɪmpləmənt/ | 実行する, 実現する |
| unlock 動詞 | /ʌnˈlɑk/ | 開ける, 解錠する |
| reluctant 形容詞 | /ɹɪˈlʌktənt/ | 嫌がる, 嫌な |
動画に出てくる句動詞
| 単語 | 意味 |
|---|---|
| go back 動詞 | 戻る, 帰る |
| leave behind 動詞 | 置き忘れる |
注意したい発音
話し手はyou're, aren't, don'tなど、短縮形や弱形を13回使っています。聞こえたとおりの短い形で発音しましょう。
- 「sh」と「zh」の音: adoption /əˈdɑp.ʃən/, potentially /pəˈtɛnʃ(ə)li/, innovation /ˌɪn.əˈveɪ.ʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, cautious /ˈkɔːʃəs/
- 長い単語（アクセントの位置に注意）: potentially /pəˈtɛnʃ(ə)li/, innovation /ˌɪn.əˈveɪ.ʃən/, transformation /ˌtɹæns.fɔɹˈmeɪ.ʃən/, skepticism /ˈskɛp.tɪˌsɪ.zəm/, digitally /ˈdɪd͡ʒɪtəli/
この動画での練習方法
- まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
- 通常の速度で一文ずつシャドーイングし、話し手のリズムに合うまで繰り返します。
- 自分の声を録音して元の音声と比べます。adoption, equip, skillなどの単語に特に注意しましょう。
この動画の文法
話し手がよく使っている文型を、動画の実際の表現とともに紹介します。
| 文型 | 動画での表現 |
|---|---|
| 現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係している | have been · they've had |
| 受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる | being left · were surfaced |
| 関係詞節 who / which + 節 — 人や物について情報を加える | people who have · people who are |
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。