Name: 計算思考を使ってGoogleで問題を解決する (Solving Problems at Google Using Computational Thinking)
Uploaded: 2021-01-14T06:08:38.000Z
Duration: 3 min 44 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

TINA ORNDUFF: Computational thinking is a set of

problem-solving techniques that we use here at Google.

One aspect of computational thinking is decomposition,

where we take a large problem, and we break it down into

We use pattern recognition to help us identify similarities

The final part of computational thinking is

That allows us to create a step-by-step strategy for

Google Earth is a perfect example of computational

thinking, because it takes the large problem of trying to

visualize the entire planet and makes it so that anybody

DANIEL BARCAY: Google Earth is basically an attempt to

And we want to make it as if it's the real world.

We don't want to create anything or invent anything.

And initially, it seems like this crazy problem if you

If we were to try to send this to you, we would have to pull

up in front of your house with tractor trailers full of hard

In school, you're given these problems that are

You either have the answer or you don't have the answer.

In the real world, there are many right answers.

JEREMY PACK: Google Maps is a collection of imagery and data

about places and roads all around the world.

And using Street View, we actually have images from cars

Once we've collected all this imagery, we have to somehow

Not long ago, I started getting annoyed with Pegman.

Pegman is the little yellow guy on Google Maps that you

And so you drag Pegman from the corner in Google Maps, and

you drop him on the street you want to get into and look at.

That works great when you know exactly where you want to go,

when you want to zoom all the way in on a single address and

But say you just want to go to New York City.

When I drag and drop Pegman, he'd fall somewhere--

In fact, he seems to prefer to land in back alleys.

He didn't mind landing in the middle of a field.

But he'd almost never land in front of a famous landmark.

And if you dropped on Paris, he'd never, ever land on the

I thought to myself, we can do better than that.

We kind of know what famous places are in the world, we

I began to think to myself, what makes a panorama, one of

I thought, when people go to places that are interesting,

when they physically travel there, what do they always do

They pull out their camera and start taking pictures.

People post a lot of these pictures to the internet, so

we could look for places that people take a lot of pictures.

We can find things that are in those photographs that people

took, and see if we can find the same things in the Street

And so if we can see the Eiffel Tower in the Street

View image and we can see it in a bunch of images people

We've worked really hard to make Pegman smarter.

When he's dropping from the sky, we want him to land

DANIEL BARKAY: Thinking computationally is a lot more

You go in and you know you want to create something, and

And you use math, and you use these tools to

And you end up creating something beautiful.