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我們正在教孩子們錯(cuò)誤的數(shù)學(xué)

所屬教程:金融時(shí)報(bào)原文閱讀

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2020年06月05日

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我們正在教孩子們錯(cuò)誤的數(shù)學(xué)

現(xiàn)代生活中,從生到死、從貿(mào)易到旅游,都離不開數(shù)學(xué)的思維,許多問題可以靠人和計(jì)算的配合更高效而準(zhǔn)確地解決。幾十年前的人們根本無(wú)法想象今天科技產(chǎn)品的巨變,然而孩子們的數(shù)學(xué)課本還是一成不變 。

測(cè)試中可能遇到的詞匯和知識(shí):

futuristic未來(lái)派的[fju?t??'r?st?k]

billow洶涌;翻騰['b?l??]

mathematical applications數(shù)學(xué)應(yīng)用

astounding令人震驚的[?'sta?nd??]

formulate規(guī)劃;用公式表示['f??mj?le?t]

equip裝備,配備[?'kw?p]

deliberation審議;考慮[d?,l?b?'re??(?)n]

synonymous同義的[s?'n?n?m?s]

We are teaching today’s children the wrong type of maths(854 words)

By Joanna Perkins

Step into the new Winton mathematics gallery at the Science Museum in London,designed by the late Zaha Hadid,and one is transported into a futuristic landscape where billowing clouds encircle a treasure trove of seemingly unconnected exhibits.

Once inside,a journey through mathematical applications to all aspects of the human condition appears — life and death,form and beauty,trade and travel. Intricate circular slide rules,archaic and beautiful,are positioned a short leap away from quantum chips; an abacus overlooks Charles Babbage’s difference engine. The richness of mathematics over centuries is immediately astounding.

And that is the beauty of it — this is not mathematics for mathematics’sake. This is the real world,described,formulated,studied,created by mathematics.

Maths is hot in British schools. It is extremely popular with 16 to 18-year-olds,who are increasingly taking the subject at A-level. As a component of the so-called Stem subjects — science,technology,engineering and maths — it provides a ticket into the world of scientific possibilities and,importantly,to jobs.

Or does it?

The maths that today’s students learn will not equip them with the real-world Stem skills that industry,science,government and commerce demand. Employers do not require the same maths that was around in the 1600s,or even 50 years ago. Yet that still forms the core of education policy.

The machinery that powers mathematics is crucial. And today’s computing machinery is beyond the imagination of anyone who lived before the late 20th century.

Before modern computers,calculations were very expensive because they had to be done by hand. Therefore in real life you would try very hard to minimise the amount of computation,at the expense of more upfront deliberation in defining and abstracting precise questions to tackle. It was a meticulous process.

Nowadays,a much more experimental approach can be combined with a looser initial question because computation is so cheap and effective that one can try a multitude of approaches.

These processes,starting with defining questions,translating them into maths,computing the answers and interpreting results,are the cornerstones of computational thinking. Many people,though,do not think of this as maths,which traditionally people assume to be synonymous with pure calculation: narrow and devoid of real-world application.

To significantly increase uptake and engagement of maths in schools we need to focus on computational thinking,the process that drives real-world application of mathematics. The magic is in optimising how process,computer and human can be put together to solve problems.

This approach needs knowledge of what is possible,experience of how to apply it and know-how of today’s machinery for performing it. These are the core Stem skills that a 21st-century student deserves,harnessing the power of automation.

The Winton gallery,housed adjacent to the recently installed computing gallery,shows,above all,the continued and exponential expansion of applications of mathematics. Where once we could apply basic geometry to ancient surveying,we now use diverse,complicated mathematical techniques to design aircraft,accurately predict mortality rates and design gravity-defying structures.

Maths is continually evolving,akin to Hadid’s undulating clouds. It has come of age and it is vitally important that education reflects — stands on — these advancements.

1.What provide a ticket into the world of scientific possibilities?

A. mathematical applications

B. STEM subjects

C. computers

D. math class

答案(1)

2.Why were calculations very expensive at past?

A. it had to be done by hand

B. modern computers were cost much more

C. it was a meticulous process

D. people can not imagine

答案(2)

3.What is the first step of computational thinking?

A. translating them into maths

B. computing the answers

C. writing the algorithm

D. defining questions

答案(3)

4.Where should we focus on to increase uptake and engagement of maths in schools?

A. computational skill

B. computational thinking

C. computing the answers

D. basic geometry

答案(4)

(1) 答案:B.STEM subjects

解釋:文章提到是理工科,即science,technology,engineering and maths?!皩W(xué)好數(shù)理化,走遍天下都不怕”。

(2) 答案:A.it had to be done by hand

解釋:在現(xiàn)代計(jì)算機(jī)出現(xiàn)之前,大量的計(jì)算是非常昂貴的,因?yàn)槎家斯な謩?dòng)操作。

(3) 答案:D.defining questions

接受:計(jì)算思維的步驟是:定義問題、將其轉(zhuǎn)化為數(shù)學(xué)(模型)、計(jì)算問題、轉(zhuǎn)化為結(jié)果。

(4) 答案:B.computational thinking

解釋:應(yīng)該把教育的重點(diǎn)放在學(xué)生計(jì)算思維的培養(yǎng)上。

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