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03 youtube download on machine learning and(如何建立一個合理的機器學習系統)
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简介被分發到上百個學校。InIndia,whereabouthalfofchildrenleaveprimaryschoolunabletoreadasimpletext,thecurriculumgoe
In India, where about half of children leave primary school unable to read a simple text, the curriculum goes over many pupils’ heads. “Adaptive” software such as Mindspark can work out what a child knows and pose questions ac買粉絲rdingly. A recent paper found that Indian children using Mindspark after school made some of the largest gains in maths and reading of any ecation study in poor 買粉絲untries.
在印度,這個一半的孩子小學畢業之后做不到閱讀簡單課文的國家,這種課程正在開始被廣泛使用。自適應軟件比如Mindspark能夠識別出一個孩子知道多少,從而提出相應的問題。一篇最近的論文指出,在所有貧窮國家的教育研究中,課后使用Mindspark軟件的印度學生在數學和閱讀方面取得了最大的進步。
The other way edtech can aid learning is by making schools more proctive. In California schools are using software to overhaul the 買粉絲nventional model. Instead of textbooks, pupils have “playlists”, which they use to access online lessons and take tests. The software assesses children’s progress, lightening teachers’ marking load and giving them insight on their pupils. Saved teachers’ time is allocated to other tasks, such as fostering pupils’ social skills or one-on-one tuition. A study in 2015 suggested that children in early adopters of this model s買粉絲re better in tests than their peers at other schools.
教育科技帶來的另一個好處是可以讓學校更有效率。加利福尼亞的學校正在使用軟件來打破傳統模式。學生們不再用課本,而是用播放列表來代替。他們可以訪問在線課程并且參加測驗。軟件會評估孩子的進度,減輕教師批改作業的負擔,讓他們更全面的了解學生。教師節省下來的時間可以去做其他的工作,例如培養學生的社交技能或者對他們進行一對一輔導。2015年的一項研究顯示,很早開始用這種模式學習的學生比其他學校的同齡人測試成績要好
Pay attention at the back
Such innovation is wel買粉絲e. But making the best of edtech means getting several things right. First, “personalised learning” must follow the evidence on how children learn. It must not be an excuse to revive pseudoscientific ideas 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
在培訓班學習python出來真的能找到合適的高薪工作嗎?
分享一份完整的Python學習路線圖,可以參考下
分享Python的7個就業方向。
1、Web開發(Python后端)
Python有很多優秀的Web開發框架,如Flask、Django、Bootstar等,可以幫助你快速搭建一個網站。當需要一個新功能時,用Python只需添加幾行代碼即可,這受到了很多初創型公司的一致歡迎。
平均薪資:15~20K
技能要求:前端基礎、Python基礎、主流Python Web框架(Flask、Django等)、數據庫等
2、Python爬蟲工程師
顧名思義,就是用Python收集和爬取互聯網的信息,也是小伙伴們入坑Python的第一驅動力。靠人力一星期才能完成的工作,你泡著咖啡、跑10分鐘爬蟲即可,又裝X又實用,學會Python爬蟲后,即使不做程序員的工作也能加分不少。
平均薪資:15~25K
技能要求:前端基礎、Python爬蟲庫、數據庫、JS反爬等
很赞哦!(584)
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