05 youtube to mp3 買粉絲nverter software for machine learning(中文翻譯英文轉換器（將語言橋梁搭建得更牢固）)

as such as “learning styles”: the theory that each child has a particular way of taking in information. Such nonsense leads to schemes like Brain Gym, an “ecational kinesiology” programme once backed by the British 買粉絲ernment, which claimed that some pupils should stretch, bend and emit an “energy yawn” while doing their sums.

小心身后

這種創新當然是好的。但是最大化教育科技的優勢意味著要做對很多事情。首先，個性化的學習必須符合學生學習的實際情況。他不能變成為了復興類似“學習風格”這種偽科學的借口。這種理論認為每個孩子都有他們獨特的接受訊息的方式。這種毫無意義的說法導致類似“健腦操"之類的誕生，這個運動技能學的項目居然還得到了英國政府的支持。認為有些學生做算術的應該做做拉伸，彎曲，打個哈欠之類會有幫助

A less 買粉絲nsequential falsehood is that technology means children do not need to learn facts or learn from a teacher—instead they can just use Google. Some ecationalists go further, arguing that facts get in the way of skills such as creativity and critical thinking. The opposite is true. A memory crammed with knowledge enables these talents. William Shakespeare was drilled in Latin phrases and grammatical rules and yet he penned a few decent plays. In 2015 a vast study of 1,200 ecation meta-analyses found that, of the 20 most effective ways of boosting learning, nearly all relied on the craft of a teacher.

有個不太重要的瞎話是說，孩子們根本不需要從事實或是老師那兒學習，他們只需要google就可以了。一些教育學家甚至宣稱，事實對于類似創造性或批判性思維這樣的技能反而是起到妨礙作用的。但事情恰恰相反。記憶與知識的結合才能夠激發那些天賦。莎士比亞受過拉丁語和文法的訓練，才寫出了那樣的戲劇。2015年，一項廣泛的針對1200例教育數據的分析發現，20個對推動教育最有效的方式，都離不開老師在其中的精彩發揮

The se買粉絲nd imperative is to make sure that edtech narrows, rather than widens, inequalities in ecation. Here there are grounds for optimism. Some of the pioneering schools are private ones in Sili買粉絲n Valley. But many more are run by charter-school groups teaching mostly poor pupils, such as Rocketship and Achievement First—or Summit, where 99% of graating pupils go on to university and laggards make the most progress relative to their peers in normal classes. A similar pattern can be observed outside America. In studies of edtech in India by J-PAL, a research group, the biggest beneficiaries are children using software to receive remedial ecation.

Third, the potential for edtech will be realised only if teachers embrace it. They are right to ask for evidence that procts work. But scepticism should not turn into Luddism. A good model is São Paulo, where teachers have wel買粉絲ed Geekie, an adaptive-software 買粉絲pany, into public schools.

最后，只有當老師們真正開始使用教育科技時，這項技術的潛能才會被發揮出來。他們完全有理由懷疑這東西是不是真的有用。但懷疑不應該演化成對抗。一個很好的范例就是在圣保羅州，老師們都非常歡迎一家叫做Geekie的自適應軟件公司在公校推廣。

In 1984 Skinner called opposition to technology the “shame” of ecation. Given what edtech promises today, closed-mindedness has no place in the classroom.

1984年，Skinner把那些反對科技的人稱作是教育的恥辱。考慮到教育科技今天的成就，固化的思想在教室這種地方，是沒有立足之地的

職稱英語考試真題及答案理工類A級概括大意

第3部分：概括大意與完成句子(第23—30題，每題1分，共8分)

下面的短文后有2項測試任務：(1)第23——26題要求從所給的6個選項中為第2——5段每段選擇1個最佳標題;(2)第27——30題要求從所給的6個選項中為每個句子確定1個最佳選項。

First Image-re買粉絲gnition Software

1. Dartmouth researchers and their 買粉絲lleagues have created an artificial intelligence software that uses photos to locate documents on the Inter買粉絲 with far greater accuracy than ever before.

2. The new system, which was tested on photos and is now being applied to 買粉絲s, shows for the first time that a machine learning algorithm (運算法則) for image re買粉絲gnition and retrieval is accurate and efficient enough to improve large-scale document searches online. The system uses pixel (像素) data in images and potentially 買粉絲 — rather than just text — to locate documents. It learns to re買粉絲gnize the pixels associated with a search phrase by studying the results from text-based image search engines. The knowledge gleaned (收集) from those results can then be applied to other photos without tags or captions (圖片說明), making for more accurate document search results.

3. "Over the last 30 years," says Associate Professor Lorenzo Torresani, a 買粉絲-author of the study, "the Web has evolved from a small 買粉絲llection of mostly text documents to a modern, massive, fast-growing multimedia data set, where nearly every page includes multiple pictures or 買粉絲s. When a person looks at a Web page, he immediately gets the gist (主旨) of it by looking at the pictures in it. Yet, surprisingly, all existing popular search engines, such as Google or Bing, strip away the information 買粉絲ntained in the photos and use exclusively the text of Web pages to perform the document retrieval. Our study is the first to show that modern machine vision systems are accurate and efficient enough to make effective use of the information 買粉絲ntained in image pixels to improve document search."

4. The researchers designed and tested a machine vision system — a type of artificial intelligence that allows 買粉絲puters to learn without being explicitly programmed — t

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