A Quote by Michael Gove

It is literally the case that learning languages makes you smarter. The neural networks in the brain strengthen as a result of language learning. — © Michael Gove
It is literally the case that learning languages makes you smarter. The neural networks in the brain strengthen as a result of language learning.
All the kids are learning different languages. I asked them what languages they wanted to learn, and Shi is learning Khmai, which is a Cambodian language; Pax is focusing on Vietnamese, Mad has taken to German and Russian, Z is speaking French, Vivienne really wanted to learn Arabic, and Knox is learning sign language.
It used to be thought that you stopped making new neural connections in your youth and from then on your brain was fixed and it was downhill all the way. But in fact as we know from our own experience we can keep on learning and learning means changing our brain on a physical level.
Those who become hyperpolyglots are those who meet two criteria. One, they are exposed to language material. Two, they undertake learning languages as a mission as well as acquiring the personal identity as a language learner.I describe the "neural tribe theory" of hyperpolyglots, arguing that they possess an atypical neurology that is selected by some environments and not others; presumably, there have always been humans walking around with that set of neurological traits or factors, only some of whom actually use those things for languages.
Learning astrology is like learning any foreign language. You already have the ideas, concepts, and experiences of your life within you; you are just learning a new language for what you are already experiencing.
I loved languages, and loved learning languages. It was fantastic. But I was alone there. I remember that time as a real Virginia Woolf time. More than any language it was her language that influenced me.
We learn best with focused attention. As we focus on what we're learning, the brain maps that information on what we already know making new neural connections
I suppose my ideal brain food is learning languages.
I think that great programming is not all that dissimilar to great art. Once you start thinking in concepts of programming it makes you a better person...as does learning a foreign language, as does learning math, as does learning how to read.
The globalized environment where speaking a lot of languages is rewarded and getting access to learning materials is easier. A talent for massive language learning has not been supported by the environment until very recently, so this is a phenomenon that is going to become more common and more visible.
One fact we're particularly proud of is that there are more people learning languages on Duolingo in the US than there are people learning languages in the entire US public school system.
Adults often assume that most learning is the result of teaching and that exploratory, spontaneous learning is unusual. But actually, spontaneous learning is more fundamental.
I love learning languages, and actually computer code is another language as well.
There is first the problem of acquiring content, which is learning. There is another problem of acquiring learning skills, which is not merely learning, but learning to learn, not velocity, but acceleration. Learning to learn is one of the great inventions of living things. It is tremendously important. It makes evolution, biological as well as social, go faster. And it involves the development of the individual.
Hyperpolyglots are not born, and they are not made, but they are born to be made. There is a finite subset of the human population which has the right neurological equipment for learning and using lots of languages. That equipment may serve only a sub-component of language learning, such as mimicry, pattern recognition, or memory, or it serves those sub-components in a global fashion.
I think the first wave of deep learning progress was mainly big companies with a ton of data training very large neural networks, right? So if you want to build a speech recognition system, train it on 100,000 hours of data.
Real learning, attentive, real learning, deep learning, is playful and frustrating and joyful and discouraging and exciting and sociable and private all the time, which is what makes it great.
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