How We Learn
Why Brains Learn Better Than Any Machine...for Now
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
聴き放題対象外タイトルです。Audible会員登録で、非会員価格の30%OFFで購入できます。
-
ナレーター:
-
Kaleo Griffith
このコンテンツについて
“There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. It seems so ordinary, everyone does it. Actually it’s more of a black box, which Dehaene cracks open to reveal the awesome secrets within.” (The New York Times Book Review)
An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them.
The human brain is an extraordinary learning machine. Its ability to reprogram itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. But how do we learn? What innate biological foundations underlie our ability to acquire new information, and what principles modulate their efficiency?
In How We Learn, Stanislas Dehaene finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain’s learning algorithms in our schools and universities, as well as in everyday life and at any age.
©2020 Stanislas Dehaene (P)2020 Penguin Audio批評家のレビュー
"[An] expert overview of learning.... Never mind our opposable thumb, upright posture, fire, tools, or language; it is education that enabled humans to conquer the world.... Dehaene's fourth insightful exploration of neuroscience will pay dividends for attentive readers." (Kirkus Reviews)
“[Dehaene] rigorously examines our remarkable capacity for learning. The baby brain is especially awesome and not a 'blank slate'.... Dehaene’s portrait of the human brain is fascinating.” (Booklist)
"A richly instructive [book] for educators, parents, and others interested in how to most effectively foster the pursuit of knowledge." (Publishers Weekly)