Double Negative in Songs (with transcript)

https://drive.google.com/file/d/1Cplo1gOOVgz32H8cOVi34uaMg8_sutUu/view?usp=drivesdk

Teacher Joseph's Podcast

Double Negative in Songs (with transcript)

Listening comprehension. Listen to this passage about our school and our responsibilities

Sikiliza kipengee hiki kuhusu shule yetu na jukumu letu 

Swahili With Shaz 

Shule Yetu Jukumu Letu 

『日本語能力試験」対策＿日本語総まとめN3（語彙）』アスク出版
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今日は、第1週の３日目です。


N3合格

N3　語彙　第1週3日目

В этом видео мы поговорим о московском метро, о его линиях и станциях. Остановимся на станции "Маяковская" и ответим на 2 вопроса: кто такой Маяковский и что посмотреть на этой станции в Москве.

Мороз и солнце: русская литература

#3 Москва. Метро. Маяковский | Listening Russian A1 - A2

CHISTES MEXICANOS

MANCO.

Bu bölümde Vasilina ile onun köpekleri hakkında konuşuyoruz. Vasilina’nın cümleleri ve kelime seçimleri çok doğal. Cümlelerinde kelime sıralaması da çok iyi ve doğal. Bölümde konuşurken birlikte bazı düzeltmeler yapıyoruz. Bazen de akıcılığı bozmamak için devam ediyoruz ama bu şekilde devam ettiğimiz yerler çok küçük yerler ve genelde sadece ufak ekler. Bir sonraki bölümümüzde ikimiz de daha az heyecanlı olacağız ve daha güzel bir bölüm ortaya koyacağımızı düşünüyorum ama yine de bence keyifli ve sizler için de faydalı bir sohbet oldu. İnternet üzerinden kaydettiğimiz için ses kalitesi çok yüksek değil. Vasilina’nınki iyi ama ben malesef mikrofon kullanmadım. Bir dahakine kesinlikle mikrofon kullanacağım! Kelime listesini aşağıda bulabilirsiniz.

• yumuşak – soft 
• kıvırcık – curly 
• tüylü – furry 
• karışım – mix 
• yetişkin – adult 
• üretici – producer 
• üretmek – to produce 
• ortaya çıkmak – to appear 
• eğitim yapmak – to do training 
• gezdirmek – to walk (a dog etc) 
• tasma – leash 
• boyut – size 
• yaramaz – naughty 
• meraklı – curious 
• koklamak – to smell 
• anlaşmak – to get along 
• sahip - owner

İyi dinlemeler!


Zeynep'le Türkçe Sohbetler

Bölüm 3 - Vasilina'nın Köpeği

¡Bratislava! Una nueva ciudad, nuevos lugares, nueva gente y claro, nuestros protagonistas seguro que van a vivir situaciones divertidas. Escucha la historia para conocerles más y descubrir esta maravillosa ciudad :)

¿Quieres la transcripción o charlar conmigo sobre esto? ¡No dudes en contactar conmigo! ;)

Audiolibros de Joan

Viajando por Europa. Capítulo 5.

If you think of the jobs robots could never do, you would probably put doctors and teachers at the top of the list. It's easy to imagine robot cleaners and factory workers, but some jobs need human connection and creativity. But are we underestimating what robots can do? In some cases, they already perform better than doctors at diagnosing illness. Also, some patients might feel more comfortable sharing personal information with a machine than a person. Could there be a place for robots in education after all?

British education expert Anthony Seldon thinks so. And he even has a date for the robot takeover of the classroom: 2027. He predicts robots will do the main job of transferring information and teachers will be like assistants. Intelligent robots will read students' faces, movements and maybe even brain signals. Then they will adapt the information to each student. It's not a popular opinion and it's unlikely robots will ever have empathy and the ability to really connect with humans like another human can.

One thing is certain, though. A robot teacher is better than no teacher at all. In some parts of the world, there aren't enough teachers and 9–16 per cent of children under the age of 14 don't go to school. That problem could be partly solved by robots because they can teach anywhere and won't get stressed, or tired, or move somewhere for an easier, higher-paid job.

Teachers all over the world are leaving because it is a difficult job and they feel overworked. Perhaps the question is not 'Will robots replace teachers?' but 'How can robots help teachers?' Office workers can use software to do things like organise and answer emails, arrange meetings and update calendars. Teachers waste a lot of time doing non-teaching work, including more than 11 hours a week marking homework. If robots could cut the time teachers spend marking homework and writing reports, teachers would have more time and energy for the parts of the job humans do best.