シャドーイング練習: Class Takeaways — Turning Data Into a Superpower - 動画で英語スピーキングを学ぶ
レッスンを作成中...
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Hi, my name is Mohsen Bayadi and I'm a professor of operation information and technology at Stanford Graduate School of Business.
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In a world with a ton of information, the ability to turn raw data into better decisions is a superpower.
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Today I will be sharing five key takeaways from my course business intelligence from big data
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first guide your decisions by data human intuition is powerful but when it comes to assessing uncertainty it's sometimes pretty flawed
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we naturally see patterns when there is no pattern
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or we overreact to noise let me give you an example
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consider a hospital vp in charge of quality of care who sees a drop in infection rates
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and assumes a new protocol is working.
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But often, it's just a lucky streak.
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Random noise shows up as a trend.
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By grounding your decisions in diverse data rather than a single perspective or AI tool,
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you can tease out the true signal from the noise and manage uncertainty with better precision.
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second invest in your technical capabilities by getting your hands dirty the philosophy of this course is
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that the best way to learn is by doing you can't just read about ai
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and data science you have to use the tools yourself to truly lead you need to understand the capabilities
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and limitations of these technologies in this class we dive into writing code using ai apis
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And it's the beauty of these hands -on experiences that demystifies the technology for us,
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forcing you to understand it better and empowers you to build quick proof of concepts that can transform your business.
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Third, formulate the right questions.
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We often rush to find answers, but the hardest part of using data for decisions is asking the right questions.
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A sophisticated AI agent or model is often useless if it solves the wrong problem.
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An important skill we work on in this course is to
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learn to translate a business challenge into a concrete model where you can identify the right AI -based method to solve it.
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Before using any technology, ask yourself, what exactly are we trying to solve?
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And how will data and AI tell us if we have succeeded?
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fourth augment technology with expert human judgment we often see two extremes those who avoid ai
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because it makes mistakes and those who over rely on it both are suboptimal
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and the latter is even dangerous these technologies often have blind spots nuanced issues of bias
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that won't go away easily your goal shouldn't be cognitive offloading or letting the machine do all the thinking.
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Instead, use your expert judgment to verify the output, understand the limitations, and layer your reasoning on top of the technology.
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Finally, lead through collaboration.
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Decision -making with data is a team sport.
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An individual contributor's style of work that happens in a silo often has limited impact because it lacks business context.
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As a leader, your competitive advantage comes from bridging that gap.
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Cross -functional teamwork is key.
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By enabling deep collaboration between domain experts,
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AI scientists, and engineers, you make sure the technical solutions are aligned with real business value.
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Don't just consume the analysis, actively shape it.
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So, what does this all add up?
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By guiding decisions with data, investing in your capabilities, and balancing AI power with human wisdom, you don't just become a user of technology.
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You become a leader who can navigate uncertainty with more clarity.
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Implementing these principles will help you lead your teams effectively in a world that is becoming more AI -driven.
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Teaching is beautiful because it helps you learn better.
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At the same time, sometimes I just get excited, like I want to learn about a new technology and I want to share that with others.
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So it allows me to do both.
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このレッスンの語彙とスピーキングのポイント
このスピーキングレッスンは、動画「Class Takeaways — Turning Data Into a Superpower」を教材にしています。 繰り返し出てくる語は次のとおりです：technology, decision, learn, uncertainty, capabilities。 この動画には、シャドーイング用の文が41文、単語が640語あります。 音声の長さは4:51です。 話す速さは1分あたり約132語で安定しており、シャドーイングしやすいペースです。 英語の頻出3,000語に含まれる単語は80%だけなので、語彙は難しめです。
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 |
|---|---|---|
| solve 動詞 | /sɒlv/ | 解決する |
| capability 名詞 | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | 能力 |
| invest 動詞 | /ɪnˈvɛst/ | 投入する |
| collaboration 名詞 | /kəˌlæbəˈɹeɪʃən/ | コラボレーション, コラボ |
| judgment 名詞 | /ˈd͡ʒʌd͡ʒ.mənt/ | 判決, 裁き |
| naturally 副詞 | /ˈnæt͡ʃ.(ə.)ɹə.li/ | 勿論 |
| rush 動詞 | /ɹʌʃ/ | 急ぐ, 駆け付ける |
| concrete 形容詞 | /ˌkɑnˈkɹit/ | 実際の, 具体的 |
| output 名詞 | /ˈaʊtpʊt/ | 出力 |
| skill 名詞 | /skɪl/ | 腕, 技 |
| layer 名詞 | /ˈleɪ̯ɚ/ | 層, 膜 |
| principle 名詞 | /ˈpɹɪn.sɪ.pəl/ | 原理, 原則 |
| infection 名詞 | /ɪnˈfɛkʃən/ | 伝染 |
| wisdom 名詞 | /ˈwɪzdəm/ | 知恵 |
| rely 動詞 | /ɹɪˈlaɪ/ | 頼る, あてにする |
動画に出てくる句動詞
| 単語 | 意味 |
|---|---|
| go away 動詞 | 去る, 出る |
| show up 動詞 | 現れる |
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 succeeded · has limited |
| 関係詞節 who / which + 節 — 人や物について情報を加える | those who avoid · those who over |
注意したい発音
話し手はdon't, I'm, can'tなど、短縮形や弱形を7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: collaboration /kəˌlæbəˈɹeɪʃən/, limitation /lɪmɪˈteɪʃən/, rush /ɹʌʃ/, infection /ɪnˈfɛkʃən/, precision /pɹɪˈsɪʒ.ən/
- 長い単語（アクセントの位置に注意）: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, uncertainty /ʌnˈsɜːtənti/, collaboration /kəˌlæbəˈɹeɪʃən/, limitation /lɪmɪˈteɪʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/
日本語話者が苦手な音：
- /r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: collaboration /kəˌlæbəˈɹeɪʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, principle /ˈpɹɪn.sɪ.pəl/, rely /ɹɪˈlaɪ/, protocol /ˈpɹoʊtəˌkɑl/
- /v/ — /b/ にならないように、上の歯を下唇に当てる: solve /sɒlv/, invest /ɪnˈvɛst/, diverse /daɪˈvɜːs/, actively /ˈæktɪvli/, dive /daɪv/
- /f/ — 「フ」ではなく、上の歯と下唇で出す: infection /ɪnˈfɛkʃən/, functional /ˈfʌŋkt͡ʃənəl/, transform /tɹænsˈfɔɹm/, verify /ˈvɛɹɪfaɪ/, flawed /flɔːd/
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。solve, capability, investなどの単語に特に注意しましょう。
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。