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Author: Douglas B. Larkin
Publisher: Teachers College Press
ISBN: 0807771929
Category : Education
Languages : en
Pages : 177
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Book Description
Deep Knowledge is a book about how peoples ideas change as they learn to teach. Using the experiences of six middle and high school student teachers as they learn to teach science in diverse classrooms, Larkin explores how their work changes the way they think about students, society, schools, and science itself. Through engaging case stories, Deep Knowledge challenges some commonly held assumptions about learning to teach and tackles problems inherent in many teacher education programs. This book digs deep into the details of teacher learning in a way seldom attempted in teacher education textbooks.
Author: Douglas B. Larkin
Publisher: Teachers College Press
ISBN: 0807771929
Category : Education
Languages : en
Pages : 177
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Book Description
Deep Knowledge is a book about how peoples ideas change as they learn to teach. Using the experiences of six middle and high school student teachers as they learn to teach science in diverse classrooms, Larkin explores how their work changes the way they think about students, society, schools, and science itself. Through engaging case stories, Deep Knowledge challenges some commonly held assumptions about learning to teach and tackles problems inherent in many teacher education programs. This book digs deep into the details of teacher learning in a way seldom attempted in teacher education textbooks.
Author: Oludamini Ogunnaike
Publisher: Penn State Press
ISBN: 0271087617
Category : Religion
Languages : en
Pages : 333
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Book Description
This book is an in-depth, comparative study of two of the most popular and influential intellectual and spiritual traditions of West Africa: Tijani Sufism and Ifa. Employing a unique methodological approach that thinks with and from—rather than merely about—these traditions, Oludamini Ogunnaike argues that they contain sophisticated epistemologies that provide practitioners with a comprehensive worldview and a way of crafting a meaningful life. Using theories belonging to the traditions themselves as well as contemporary oral and textual sources, Ogunnaike examines how both Sufism and Ifa answer the questions of what knowledge is, how it is acquired, and how it is verified. Or, more simply: What do you know? How did you come to know it? How do you know that you know? After analyzing Ifa and Sufism separately and on their own terms, the book compares them to each other and to certain features of academic theories of knowledge. By analyzing Sufism from the perspective of Ifa, Ifa from the perspective of Sufism, and the contemporary academy from the perspective of both, this book invites scholars to inhabit these seemingly “foreign” intellectual traditions as valid and viable perspectives on knowledge, metaphysics, psychology, and ritual practice. Unprecedented and innovative, Deep Knowledge makes a significant contribution to cross-cultural philosophy, African philosophy, religious studies, and Islamic studies. Its singular approach advances our understanding of the philosophical bases underlying these two African traditions and lays the groundwork for future study.
Author: Oludamini Ogunnaike
Publisher: Penn State Press
ISBN: 0271087633
Category : Religion
Languages : en
Pages : 481
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Book Description
This book is an in-depth, comparative study of two of the most popular and influential intellectual and spiritual traditions of West Africa: Tijani Sufism and Ifa. Employing a unique methodological approach that thinks with and from—rather than merely about—these traditions, Oludamini Ogunnaike argues that they contain sophisticated epistemologies that provide practitioners with a comprehensive worldview and a way of crafting a meaningful life. Using theories belonging to the traditions themselves as well as contemporary oral and textual sources, Ogunnaike examines how both Sufism and Ifa answer the questions of what knowledge is, how it is acquired, and how it is verified. Or, more simply: What do you know? How did you come to know it? How do you know that you know? After analyzing Ifa and Sufism separately and on their own terms, the book compares them to each other and to certain features of academic theories of knowledge. By analyzing Sufism from the perspective of Ifa, Ifa from the perspective of Sufism, and the contemporary academy from the perspective of both, this book invites scholars to inhabit these seemingly “foreign” intellectual traditions as valid and viable perspectives on knowledge, metaphysics, psychology, and ritual practice. Unprecedented and innovative, Deep Knowledge makes a significant contribution to cross-cultural philosophy, African philosophy, religious studies, and Islamic studies. Its singular approach advances our understanding of the philosophical bases underlying these two African traditions and lays the groundwork for future study.
Author: Dorothy Leonard-Barton
Publisher: Harvard Business Press
ISBN: 1422168115
Category : Business & Economics
Languages : en
Pages : 228
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Book Description
Addressing the critical issue of knowledge transfer within an organization, this book offers practical advice on how to structure the transition of documented information and the even more valuable non-documented knowledge that outgoing staffers have-before it leaves with them.
Author: William Edwards Deming
Publisher:
ISBN: 9781873915097
Category :
Languages : en
Pages :
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Book Description
Author: Dorothy Leonard
Publisher: Harvard Business Review Press
ISBN: 1633690377
Category : Business & Economics
Languages : en
Pages : 304
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Book Description
Deep smarts are the engine of any organization as well as the essential value that individuals build throughout their careers. Distinct from IQ, this type of expertise consists of practical wisdom: accumulated knowledge, know-how, and intuition gained through extensive experience. How do such smarts develop? And what happens when people with deep smarts leave a particular job or the organization? Can any of their smarts be transferred? Should they be? Basing their conclusions on a multi-year research project, Dorothy Leonard and Walter Swap argue that cultivating and managing deep smarts are critical parts of any leader's job. The authors draw on examples from firms of all sizes and types to illustrate the connection between deep smarts and organizational viability and continuous innovation. Leonard and Swap describe the origins and limits of deep smarts and outline processes for cultivating and leveraging them across the organization. Developing an experience repertoire and receiving strategic guidance from wise coaches can help individuals move up the ladder of expertise from novice to master. Addressing a topic of increasing importance as the Boomer generation retires, Deep Smarts challenges leaders to take a hands-on approach to managing the experience-based knowledge shaping the future of their organizations.
Author: Jal Mehta
Publisher: Harvard University Press
ISBN: 0674988396
Category : Education
Languages : en
Pages : 465
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Book Description
"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.
Author: John D. Kelleher
Publisher: MIT Press
ISBN: 0262537559
Category : Computers
Languages : en
Pages : 298
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Book Description
An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
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.
Author: P. J. Saher
Publisher: Motilal Banarsidass Publ.
ISBN: 9788120808096
Category : Health & Fitness
Languages : en
Pages : 348
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Book Description
This fascinating and profound book of ancient, Eastern esoteric wisdom backed by the latest discoveries and experiments of modern science treats of the health of soul by showing the relationship between soul and brain.This book is a cybernetic exploration of mind`s inner space leading to expanded cosmoelectronic consciousness. Having shown the differences between Eastern and Western thought-processes, Saher explains how the sages of the East have aquired that source of wisdom and bliss which our misguided youth seeks vainly in hallucinogenic drugs.
