In this thought-provoking book, Frank Smith explains how schools and educational authorities systematically obstruct the powerful inherent learning abilities of children, creating handicaps that often persist through life. The author eloquently contrasts a false and fabricated “official theory” that learning is work (used to justify the external control of teachers and students through excessive regulation and massive testing) with a correct but officially suppressed “classic view” that learning is a social process that can occur naturally and continually through collaborative activities. This book will be crucial reading in a time when national authorities continue to blame teachers and students for alleged failures in education. It will help educators and parents to combat sterile attitudes toward teaching and learning and prevent current practices from doing further harm.

The exciting adventures of Ebony Smart, a twelve-year-old girl who discovers she is part of a special tribe of reincarnated people – and a terrible curse. Ebony has just one week to break the curse or die; if she fails, the future of her family, and her people, is at risk – does she have what it takes to succeed? • A magical story with an Irish setting for readers aged 9–12 years; appeals to both boys and girls • An exciting fantasy adventure from the publishers of the Arthur Quinn series • An active and respected author After the death of her beloved grandfather on her twelfth birthday, Ebony Smart's world is turned upside down. Orphaned for a second time, she is sent to Dublin to live with her weird Aunt Ruby, with only her pet rat, Winston, for company. With every window nailed shut and a mysterious locked room, 23 Mercury Lane is brimming with secrets. Warned against entering by a voice in the shadows, Ebony is fearful for her future, but has no idea how much her life is about to change. Aunt Ruby informs Ebony that she is part of the Order of Nine Lives – a special tribe of people who reincarnate. She claims Ebony has one week to break a terrible curse or else die – and if she fails, the future of the Order of Nine Lives, and her family, is at risk. With so much at stake, Ebony discovers it's difficult to trust – especially when there's somebody else trying to race her to the finish. Does she have what it takes to succeed when nothing is what it seems?

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Like the first edition, the second edition of Learning by Doing: A Handbook for Professional Learning Communities at Work helps educators close the knowing-doing gap as they transform their schools into professional learning communities (PLCs).

In this provocative book, authors Washor and Mojkowski observe that beneath the worrisome levels of dropouts from our nation’s high school lurks a more insidious problem: student disengagement from school and from deep and productive learning. To keep students in school and engaged as productive learners through to graduation, schools must provide experiences in which all students do some of their learning outside school as a formal part of their programs of study. All students need to leave school—frequently, regularly, and, of course, temporarily—to stay in school and persist in their learning. To accomplish this, schools must combine academic learning with experiential learning, allowing students to bring real-world learning back into the school, where it should be recognized, assessed, and awarded academic credit. Learning outside of school, as a complement to in-school learning, provides opportunities for deep engagement in rigorous learning.

Here is an informative introduction to language: its origins in the past, its growth through history, and its present use for communication between peoples. It is at the same time a history of language, a guide to foreign tongues, and a method for learning them. It shows, through basic vocabularies, family resemblances of languages -- Teutonic, Romance, Greek -- helpful tricks of translation, key combinations of roots and phonetic patterns. It presents by common-sense methods the most helpful approach to the mastery of many languages; it condenses vocabulary to a minimum of essential words; it simplifies grammar in an entirely new way; and it teaches a language as it is actually used in everyday life.

An eight-time national chess champion and world champion martial artist shares the lessons he has learned from two very different competitive arenas, identifying key principles about learning and performance that readers can apply to their life goals. Reprint. 35,000 first printing.