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Deeper Learning

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Release : 2018-06-05
Genre : Education
Kind : eBook
Book Rating : 979/5 ( reviews)

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Book Synopsis Deeper Learning by : Monica R. Martinez

Download or read book Deeper Learning written by Monica R. Martinez. This book was released on 2018-06-05. Available in PDF, EPUB and Kindle. Book excerpt: The acclaimed exploration of how public education can cultivate innovators—with a foreword by Russlynn Ali, a leading advocate for remaking schools Dime-a-dozen ideas for reforming education seem to be everywhere these days but few actually transform the everyday experience of the 50-million-plus students who are regularly subjected to traditional lecturing, note-taking, and rote learning—often with dismal results. Enter Deeper Learning, "a fast read [that] will interest educators who want to produce self-motivated, passionate learners" (Library Journal). Offering "uplifting" (Kirkus Reviews) anecdotes in what Tom Carroll of the National Commission on Teaching and America's Future calls a "rare blend of inspiration and practical action," Deeper Learning provides a blueprint for creating flexible environments that put students at the helm of their own collaborative learning experience. This paperback edition includes a new foreword by renowned education advocate Russlynn Ali and will empower and inspire educators everywhere to address the need for schools to be genuinely innovative.

Deep Learning

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Release : 2016-11-10
Genre : Computers
Kind : eBook
Book Rating : 371/5 ( reviews)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow. This book was released on 2016-11-10. Available in PDF, EPUB and Kindle. Book excerpt: 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.

In Search of Deeper Learning

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Author :
Release : 2019-04-22
Genre : Education
Kind : eBook
Book Rating : 396/5 ( reviews)

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Book Synopsis In Search of Deeper Learning by : Jal Mehta

Download or read book In Search of Deeper Learning written by Jal Mehta. This book was released on 2019-04-22. Available in PDF, EPUB and Kindle. Book excerpt: "The best book on high school dynamics I have ever read."--Jay Mathews, Washington Post An award-winning professor and an accomplished educator take us beyond the hype of reform and inside some of America's most innovative classrooms to show what is working--and what isn't--in our schools. What would it take to transform industrial-era schools into modern organizations capable of supporting deep learning for all? Jal Mehta and Sarah Fine's quest to answer this question took them inside some of America's most innovative schools and classrooms--places where educators are rethinking both what and how students should learn. The story they tell is alternately discouraging and hopeful. Drawing on hundreds of hours of observations and interviews at thirty different schools, Mehta and Fine reveal that deeper learning is more often the exception than the rule. And yet they find pockets of powerful learning at almost every school, often in electives and extracurriculars as well as in a few mold-breaking academic courses. These spaces achieve depth, the authors argue, because they emphasize purpose and choice, cultivate community, and draw on powerful traditions of apprenticeship. These outliers suggest that it is difficult but possible for schools and classrooms to achieve the integrations that support deep learning: rigor with joy, precision with play, mastery with identity and creativity. This boldly humanistic book offers a rich account of what education can be. The first panoramic study of American public high schools since the 1980s, In Search of Deeper Learning lays out a new vision for American education--one that will set the agenda for schools of the future.

Deep Learning

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Release : 2017-11-06
Genre : Education
Kind : eBook
Book Rating : 59X/5 ( reviews)

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Book Synopsis Deep Learning by : Michael Fullan

Download or read book Deep Learning written by Michael Fullan. This book was released on 2017-11-06. Available in PDF, EPUB and Kindle. Book excerpt: New Pedagogies for Deep Learning (NDPL) provides a comprehensive strategy for systemwide transformation. Using the 6 competencies of NDPL and a wealth of vivid examples, Fullan re-defines and re-examines what deep learning is and identifies the practical strategies for revolutionizing learning and leadership.

Teaching for Deeper Learning

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Release : 2020-01-22
Genre : Education
Kind : eBook
Book Rating : 657/5 ( reviews)

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Book Synopsis Teaching for Deeper Learning by : Jay McTighe

Download or read book Teaching for Deeper Learning written by Jay McTighe. This book was released on 2020-01-22. Available in PDF, EPUB and Kindle. Book excerpt: Far too often, our students attain only a superficial level of knowledge that fails to prepare them for deeper challenges in school and beyond. In Teaching for Deeper Learning, renowned educators and best-selling authors Jay McTighe and Harvey F. Silver propose a solution: teaching students to make meaning for themselves. Contending that the ability to "earn" understanding will equip students to thrive in school, at work, and in life, the authors highlight seven higher-order thinking skills that facilitate students' acquisition of information for greater retention, retrieval, and transfer. These skills, which cut across content areas and grade levels and are deeply embedded in current academic standards, separate high achievers from their low-performing peers. Drawing on their deep well of research and experience, the authors - Explore what kind of content is worth having students make meaning about. - Provide practical tools and strategies to help teachers target each of the seven thinking skills in the classroom. - Explain how teachers can incorporate the thinking skills and tools into lesson and unit design. - Show how teachers can build students' capacity to use the strategies independently. If our goal is to prepare students to meet the rigorous demands of school, college, and career, then we must foster their ability to respond to such challenges. This comprehensive, practical guide will enable teachers to engage students in the kind of learning that yields enduring understanding and valuable skills that they can use throughout their lives.

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