跟读练习: Class Takeaways — Turning Data Into a Superpower - 通过视频学习英语口语

选择练习模式

每种模式都会打开全屏练习室。

45 句
如果句子过短或过长，请点击 Edit 进行调整。
1
Hi, my name is Mohsen Bayadi and I'm a professor of operation information and technology at Stanford Graduate School of Business.
2
In a world with a ton of information, the ability to turn raw data into better decisions is a superpower.
3
Today I will be sharing five key takeaways from my course business intelligence from big data
4
first guide your decisions by data human intuition is powerful but when it comes to assessing uncertainty it's sometimes pretty flawed
5
we naturally see patterns when there is no pattern
6
or we overreact to noise let me give you an example
7
consider a hospital vp in charge of quality of care who sees a drop in infection rates
8
and assumes a new protocol is working.
9
But often, it's just a lucky streak.
10
Random noise shows up as a trend.
11
By grounding your decisions in diverse data rather than a single perspective or AI tool,
12
you can tease out the true signal from the noise and manage uncertainty with better precision.
13
second invest in your technical capabilities by getting your hands dirty the philosophy of this course is
14
that the best way to learn is by doing you can't just read about ai
15
and data science you have to use the tools yourself to truly lead you need to understand the capabilities
16
and limitations of these technologies in this class we dive into writing code using ai apis
17
And it's the beauty of these hands -on experiences that demystifies the technology for us,
18
forcing you to understand it better and empowers you to build quick proof of concepts that can transform your business.
19
Third, formulate the right questions.
20
We often rush to find answers, but the hardest part of using data for decisions is asking the right questions.
21
A sophisticated AI agent or model is often useless if it solves the wrong problem.
22
An important skill we work on in this course is to
23
learn to translate a business challenge into a concrete model where you can identify the right AI -based method to solve it.
24
Before using any technology, ask yourself, what exactly are we trying to solve?
25
And how will data and AI tell us if we have succeeded?
26
fourth augment technology with expert human judgment we often see two extremes those who avoid ai
27
because it makes mistakes and those who over rely on it both are suboptimal
28
and the latter is even dangerous these technologies often have blind spots nuanced issues of bias
29
that won't go away easily your goal shouldn't be cognitive offloading or letting the machine do all the thinking.
30
Instead, use your expert judgment to verify the output, understand the limitations, and layer your reasoning on top of the technology.
31
Finally, lead through collaboration.
32
Decision -making with data is a team sport.
33
An individual contributor's style of work that happens in a silo often has limited impact because it lacks business context.
34
As a leader, your competitive advantage comes from bridging that gap.
35
Cross -functional teamwork is key.
36
By enabling deep collaboration between domain experts,
37
AI scientists, and engineers, you make sure the technical solutions are aligned with real business value.
38
Don't just consume the analysis, actively shape it.
39
So, what does this all add up?
40
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.
41
You become a leader who can navigate uncertainty with more clarity.
42
Implementing these principles will help you lead your teams effectively in a world that is becoming more AI -driven.
43
Teaching is beautiful because it helps you learn better.
44
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.
45
So it allows me to do both.

下载应用

流利口语所需的一切

AI 发音评分逐句打分
音标练习掌握每个音
词汇学习建立你的词库
词汇游戏边玩边学
扫码
扫码
Download on theApp StoreGet it onGoogle Play
📺 同频道
Quick Study: How Venture Capitalists Make DecisionsC1
1

Quick Study: How Venture Capitalists Make Decisions

Daily ConversationUniversity StudentsWorking Adults
Alibaba's Ma Reflects On 12-Year Journey at China 2.0 ConferenceB2
1

Alibaba's Ma Reflects On 12-Year Journey at China 2.0 Conference

Business EnglishUniversity StudentsWorking Adults
View From The Top with Roelof Botha, Managing Partner of Sequoia CapitalC1
1

View From The Top with Roelof Botha, Managing Partner of Sequoia Capital

Daily ConversationUniversity StudentsWorking Adults
Last Lecture Series: How to Live your Life at Full Power — Graham WeaverB2
2

Last Lecture Series: How to Live your Life at Full Power — Graham Weaver

Daily ConversationUniversity Students
Stanford Leadership Forum 2026: Rewiring the Workforce in the Age of AIC1
1

Stanford Leadership Forum 2026: Rewiring the Workforce in the Age of AI

Business EnglishUniversity StudentsWorking Adults
Leading in a Time of Change: Jamie Dimon, Chairman and CEO, JP Morgan ChaseC1
3

Leading in a Time of Change: Jamie Dimon, Chairman and CEO, JP Morgan Chase

Business EnglishUniversity StudentsWorking Adults
Power: Why Some People Have It and Others Don'tC1

Power: Why Some People Have It and Others Don't

Business EnglishUniversity StudentsWorking Adults
How to Be UnforgettableC1
5

How to Be Unforgettable

Business EnglishInterview EnglishUniversity Students
Think Fast, Talk Smart: Communication TechniquesC1
37

Think Fast, Talk Smart: Communication Techniques

Business EnglishInterview EnglishDaily Conversation
Make Body Language Your SuperpowerC1
2

Make Body Language Your Superpower

Business EnglishUniversity StudentsWorking Adults
Oprah Winfrey: The Secret of My SuccessC1
3

Oprah Winfrey: The Secret of My Success

Business EnglishUniversity StudentsWorking Adults
✨ 推荐视频
Give Me 18 Minutes and I’ll Make you Dangerously Smart (with AI)C1
5
317 句

Give Me 18 Minutes and I’ll Make you Dangerously Smart (with AI)

Business EnglishUniversity StudentsWorking Adults
The Data-Driven Decision Framework Every Marketer NeedsB2
3
10 句

The Data-Driven Decision Framework Every Marketer Needs

Business EnglishUniversity StudentsWorking Adults
Everything we learned in 29 minutes at Harvard Business School (part 1)C1
2
494 句

Everything we learned in 29 minutes at Harvard Business School (part 1)

Business EnglishUniversity StudentsWorking Adults
P1 机器学习的应用【2024公认最好的 | 吴恩达机器学习 | 教程 | Machine Learning Specialization(超爽中英!)】C1
3
43 句

P1 机器学习的应用【2024公认最好的 | 吴恩达机器学习 | 教程 | Machine Learning Specialization(超爽中英!)】

Business EnglishUniversity StudentsWorking Adults
How AI is Changing Data Scientist's WorkflowC1
1
141 句

How AI is Changing Data Scientist's Workflow

Business EnglishUniversity StudentsWorking Adults
The Secret to Business Writing: Crash Course Business - Soft Skills #3C1
3
162 句

The Secret to Business Writing: Crash Course Business - Soft Skills #3

Business EnglishUniversity StudentsWorking Adults
Directness with Respect: How to Make the Hard Conversations EasyB2
2
351 句

Directness with Respect: How to Make the Hard Conversations Easy

Business EnglishUniversity StudentsWorking Adults
How to Think Like a Data Analyst | Step-by-Step GuideC1
17
84 句

How to Think Like a Data Analyst | Step-by-Step Guide

Business EnglishUniversity StudentsWorking Adults
Everything Valuable from an MBA in 25 minutesC1
480 句

Everything Valuable from an MBA in 25 minutes

Business EnglishUniversity StudentsWorking Adults
Ray Dalio on the AI BubbleC1
43
6 句

Ray Dalio on the AI Bubble

Business EnglishUniversity StudentsWorking Adults
Supervised Learning: Crash Course AI #2C1
2
190 句

Supervised Learning: Crash Course AI #2

Business EnglishUniversity StudentsWorking Adults

本课的词汇与口语要点

这节口语课以视频“Class Takeaways — Turning Data Into a Superpower”为素材。 视频中反复出现的词有：technology, decision, learn, uncertainty, capabilities。 这段视频共有 41 个句子、640 个单词可供跟读。 讲话部分时长为 4:51。 说话人语速平稳，每分钟约 132 个词，很适合跟读。 只有 80% 的单词属于英语最常用的 3,000 词，词汇难度较高。

视频中的重点词汇

视频中 15 个值得学习的单词，附发音和释义：

单词发音释义
solve 动词/sɒlv/解決 /解决
uncertainty 名词/ʌnˈsɜːtənti/不确定性
invest 动词/ɪnˈvɛst/耗費 /耗费, 投資 /投资
collaboration 名词/kəˌlæbəˈɹeɪʃən/合作, 協作 /协作
judgment 名词/ˈd͡ʒʌd͡ʒ.mənt/判斷 /判断
limitation 名词/lɪmɪˈteɪʃən/限制
rush 动词/ɹʌʃ/急速去, 急速做
concrete 形容词/ˌkɑnˈkɹit/切實的 /切实的, 具體的 /具体的
output 名词/ˈaʊtpʊt/輸出 /输出
skill 名词/skɪl/技巧, 技能
layer 名词/ˈleɪ̯ɚ/層 /层
principle 名词/ˈpɹɪn.sɪ.pəl/原理, 原則 /原则
infection 名词/ɪnˈfɛkʃən/傳染 /传染
domain 名词/ˌdəʊˈmeɪ̯n/領域 /领域
wisdom 名词/ˈwɪzdəm/智慧

视频中出现的短语动词

单词释义
go away 动词離開 /离开, 走
show up 动词露面

需要注意的发音

说话人用了 7 次缩略和弱读形式，例如 don't, I'm, can't。请按听到的简短形式来说。

  • “sh” 和 “zh” 音: collaboration /kəˌlæbəˈɹeɪʃən/, limitation /lɪmɪˈteɪʃən/, rush /ɹʌʃ/, infection /ɪnˈfɛkʃən/, precision /pɹɪˈsɪʒ.ən/
  • 长单词——注意重音位置: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, uncertainty /ʌnˈsɜːtənti/, collaboration /kəˌlæbəˈɹeɪʃən/, limitation /lɪmɪˈteɪʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/

中文母语者容易读错的音：

  • /v/ — 不要读成 /w/，上齿轻触下唇: solve /sɒlv/, invest /ɪnˈvɛst/, diverse /daɪˈvɜːs/, actively /ˈæktɪvli/, dive /daɪv/
  • 词尾辅音 — 要读清楚，后面不要加元音: solve /sɒlv/, invest /ɪnˈvɛst/, judgment /ˈd͡ʒʌd͡ʒ.mənt/, rush /ɹʌʃ/, concrete /ˌkɑnˈkɹit/
  • /r/ 和 /l/ 的区别: collaboration /kəˌlæbəˈɹeɪʃən/, naturally /ˈnæt͡ʃ.(ə.)ɹə.li/, principle /ˈpɹɪn.sɪ.pəl/, rely /ɹɪˈlaɪ/, protocol /ˈpɹoʊtəˌkɑl/

如何用这段视频练习

  1. 先完整听一遍视频，不要开口，记下不认识的单词。
  2. 用正常速度逐句跟读，每句重复到你的节奏与说话人一致为止。
  3. 录下自己的声音并与原声对比，特别注意 solve, uncertainty, invest 这类单词。

什么是跟读法？

跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。

影子跟读法: 阅读完整分步指南 →