Learning In Depth

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Learning in Depth

Author : Kieran Egan
Publisher : University of Chicago Press
ISBN 13 : 0226190439
Total Pages : 231 pages
Book Rating : 4.2/5 (261 download)

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Book Synopsis Learning in Depth by : Kieran Egan

Download or read book Learning in Depth written by Kieran Egan and published by University of Chicago Press. This book was released on 2010 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real education, Egan Explains, consists of both general knowledge and detailed understanding, and in Learning in Depth he outlines an ambitious, yet practical plan to incorporate deep knowledge into basic education. Under Egan's program, students will follow the usual curriculum, but with one crucial addition: beginning with their first days of school and continuing until graduation, they will each also study one topic-such as apples, birds, sacred buildings, mollusks, circuses, or stars-in depth. Over the years, with the help and guidance of their supervising teacher, students will expand their understanding of their one topic and build portfolios of knowledge that grow and change along with them. By the time they graduate each student will know as much about his or her topic as almost anyone on earth-and in the process will have learned important, even life-changing lessons about the meaning of expertise, the value of dedication, and the delight of knowing something in depth. --

Learning in Depth

Author : Kieran Egan
Publisher : University of Chicago Press
ISBN 13 : 9780226190433
Total Pages : 0 pages
Book Rating : 4.1/5 (94 download)

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Book Synopsis Learning in Depth by : Kieran Egan

Download or read book Learning in Depth written by Kieran Egan and published by University of Chicago Press. This book was released on 2011-04-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For generations, schools have aimed to introduce students to a broad range of topics through curriculum that ensure that they will at least have some acquaintance with most areas of human knowledge by the time they graduate. Yet such broad knowledge can’t help but be somewhat superficial—and, as Kieran Egan argues, it omits a crucial aspect of true education: deep knowledge. Real education, Egan explains, consists of both general knowledge and detailed understanding, and in Learning in Depth he outlines an ambitious yet practical plan to incorporate deep knowledge into basic education. Under Egan’s program, students will follow the usual curriculum, but with one crucial addition: beginning with their first days of school and continuing until graduation, they will eachalso study one topic—such as apples, birds, sacred buildings, mollusks,circuses, or stars—in depth. Over the years, with the help and guidance of their supervising teacher, students will expand their understanding of their one topic and build portfolios of knowledge that grow and change along with them. By the time they graduate each student will know as much about his or her topic as almost anyone on earth—and in the process will have learned important, even life-changing lessons about the meaning of expertise, the value of dedication, and the delight of knowing something in depth. Though Egan’s program may be radical in its effects, it is strikingly simple to implement—as a number of schools have already discovered—and with Learning in Depth as a blueprint, parents, educators, and administrators can instantly begin taking the first steps toward transforming our schools and fundamentally deepening their students’ minds.

Deconstructing Depth of Knowledge

Author : Erik M. Francis
Publisher : Solution Tree Press
ISBN 13 : 1951075161
Total Pages : 177 pages
Book Rating : 4.9/5 (51 download)

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Book Synopsis Deconstructing Depth of Knowledge by : Erik M. Francis

Download or read book Deconstructing Depth of Knowledge written by Erik M. Francis and published by Solution Tree Press. This book was released on 2021-11-05 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Depth of knowledge (DOK) has become a priority for many schools. But if your understanding of DOK is a little cloudy, you're not alone. This resource is your one-stop-shop for learning what it is, who it's for, and how to use and sustain it. Ultimately, you will discover how to plan and provide learning experiences that are academically rigorous, socially and emotionally supportive, and student responsive. Learn how DOK is a different, deeper way of approaching teaching and learning. Explore the different DOK levels and how they relate to instruction. Understand DOK's relationship with standards and assessment. Designate correct levels based on learning needs. Acquire strategies for helping students engage with DOK on a deeper level. Contents: Introduction: What Depth of Knowledge Is Not Chapter 1: What Exactly Is Depth of Knowledge? Chapter 2: What Are DOK Teaching and Learning Experiences? Chapter 3: How to Teach and Learn for Depth of Knowledge Chapter 4: How to Use Webb's DOK Levels as a Multi-Tiered System of Support Chapter 5: How to Deconstruct Learning Intentions for Depth of Knowledge Chapter 6: How to Designate the Depth of Knowledge Level Demanded Chapter 7: How to Construct DOK Learning Targets and Success Criteria Chapter 8: How to Ask and Address Good Questions for Depth of Knowledge Chapter 9: Let's Make a DOK! Conclusion References and Resources Index

Deep Active Learning

Author : Kayo Matsushita
Publisher : Springer
ISBN 13 : 9811056609
Total Pages : 226 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Deep Active Learning by : Kayo Matsushita

Download or read book Deep Active Learning written by Kayo Matsushita and published by Springer. This book was released on 2017-09-12 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to connect the concepts of active learning and deep learning, and to delineate theory and practice through collaboration between scholars in higher education from three countries (Japan, the United States, and Sweden) as well as different subject areas (education, psychology, learning science, teacher training, dentistry, and business).It is only since the beginning of the twenty-first century that active learning has become key to the shift from teaching to learning in Japanese higher education. However, “active learning” in Japan, as in many other countries, is just an umbrella term for teaching methods that promote students’ active participation, such as group work, discussions, presentations, and so on.What is needed for students is not just active learning but deep active learning. Deep learning focuses on content and quality of learning whereas active learning, especially in Japan, focuses on methods of learning. Deep active learning is placed at the intersection of active learning and deep learning, referring to learning that engages students with the world as an object of learning while interacting with others, and helps the students connect what they are learning with their previous knowledge and experiences as well as their future lives.What curricula, pedagogies, assessments and learning environments facilitate such deep active learning? This book attempts to respond to that question by linking theory with practice.

In Search of Deeper Learning

Author : Jal Mehta
Publisher : Harvard University Press
ISBN 13 : 0674988396
Total Pages : 465 pages
Book Rating : 4.6/5 (749 download)

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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 and published by Harvard University Press. This book was released on 2019-04-22 with total page 465 pages. 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.

How We Think and Learn

Author : Jeanne Ellis Ormrod
Publisher : Cambridge University Press
ISBN 13 : 1107165113
Total Pages : 239 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis How We Think and Learn by : Jeanne Ellis Ormrod

Download or read book How We Think and Learn written by Jeanne Ellis Ormrod and published by Cambridge University Press. This book was released on 2017-02-13 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to principles and research findings about human learning and cognition in an engaging, conversational manner.

The Principles of Deep Learning Theory

Author : Daniel A. Roberts
Publisher : Cambridge University Press
ISBN 13 : 1316519333
Total Pages : 473 pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis The Principles of Deep Learning Theory by : Daniel A. Roberts

Download or read book The Principles of Deep Learning Theory written by Daniel A. Roberts and published by Cambridge University Press. This book was released on 2022-05-26 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. 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.

Professional Learning Communities

Author : Louise Stoll
Publisher : McGraw-Hill Education (UK)
ISBN 13 : 0335230253
Total Pages : 232 pages
Book Rating : 4.3/5 (352 download)

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Book Synopsis Professional Learning Communities by : Louise Stoll

Download or read book Professional Learning Communities written by Louise Stoll and published by McGraw-Hill Education (UK). This book was released on 2007-03-16 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: “All who are interested and concerned about educational reform and the improvement of schools will find this book a must read. It stimulates, it challenges, and it informs, such that the reader is most surely enriched by its plenitude.” Dr Shirley Hord, Scholar Emerita “At last we have a book of international cases to add to the literature on networks! Policymakers and practitioners alike will find the reasons why networks are fast becoming the reform organizations of choice. The book elevates network understanding to a new level.” Ann Lieberman, Senior Scholar at the Carnegie Foundationfor the Advancement of Teaching What is a professional learning community? What are the key challenges facing these communities and how might they be resolved? Is it time to extend our thinking about professional learning communities? There is great interest internationally in the potential of professional learning communities for enhancing educational reform efforts and sustaining improvement. This international collection expands perceptions and understanding of professional learning communities, as well as highlighting frequently neglected complexities and challenges. Drawing on research, each chapter offers a deeper understanding of topics such as distributed leadership, dialogue, organisational memory, trust, self-assessment and inquiry, and purpose linked to learning. The last section of the book focuses upon three of the most challenging dilemmas that face developing professional learning communities - developing professional learning communities in secondary school, building social capital, and sustaining professional learning communities. The authors provide pointers on why these challenges exist, offering rays of hope for ways forward. Professional Learning Communities is key international reading for education professionals, school practitioners, policymakers, academics and research students. It is a must-read for anyone interested in building capacity for sustainable learning and the ability to harness your community as a resource for change.

Learning from Data

Author : Vladimir Cherkassky
Publisher : John Wiley & Sons
ISBN 13 : 9780470140512
Total Pages : 560 pages
Book Rating : 4.1/5 (45 download)

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Book Synopsis Learning from Data by : Vladimir Cherkassky

Download or read book Learning from Data written by Vladimir Cherkassky and published by John Wiley & Sons. This book was released on 2007-09-10 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.

The Art of Learning

Author : Josh Waitzkin
Publisher : Simon and Schuster
ISBN 13 : 0743277465
Total Pages : 291 pages
Book Rating : 4.7/5 (432 download)

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Book Synopsis The Art of Learning by : Josh Waitzkin

Download or read book The Art of Learning written by Josh Waitzkin and published by Simon and Schuster. This book was released on 2008-05-27 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

What the Best College Teachers Do

Author : Ken Bain
Publisher : Harvard University Press
ISBN 13 : 0674065549
Total Pages : 218 pages
Book Rating : 4.6/5 (74 download)

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Book Synopsis What the Best College Teachers Do by : Ken Bain

Download or read book What the Best College Teachers Do written by Ken Bain and published by Harvard University Press. This book was released on 2011-09-01 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: What makes a great teacher great? Who are the professors students remember long after graduation? This book, the conclusion of a fifteen-year study of nearly one hundred college teachers in a wide variety of fields and universities, offers valuable answers for all educators. The short answer is—it’s not what teachers do, it’s what they understand. Lesson plans and lecture notes matter less than the special way teachers comprehend the subject and value human learning. Whether historians or physicists, in El Paso or St. Paul, the best teachers know their subjects inside and out—but they also know how to engage and challenge students and to provoke impassioned responses. Most of all, they believe two things fervently: that teaching matters and that students can learn. In stories both humorous and touching, Ken Bain describes examples of ingenuity and compassion, of students’ discoveries of new ideas and the depth of their own potential. What the Best College Teachers Do is a treasure trove of insight and inspiration for first-year teachers and seasoned educators.

Gifted Guild's Guide to Depth and Complexity

Author : Lisa Van Gemert
Publisher :
ISBN 13 : 9781700076519
Total Pages : 359 pages
Book Rating : 4.0/5 (765 download)

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Book Synopsis Gifted Guild's Guide to Depth and Complexity by : Lisa Van Gemert

Download or read book Gifted Guild's Guide to Depth and Complexity written by Lisa Van Gemert and published by . This book was released on 2019-10-16 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Definitive Guide to Depth and Complexity After successfully using the framework themselves, writing about it on their websites, and facilitating hundreds of hours of training, Ian Byrd and Lisa Van Gemert are bringing you an approachable, comprehensive guide to Depth and Complexity. In it, Ian and Lisa share 27 bite-sized chapters that will help you: * Show educators exactly how the framework works in a real, live classroom * Teach you what you need to know about all aspects of the framework * Address special situations, like working with early elementary grades and planning * Take you further in your Depth and Complexity practice than you ever thought possible You will gain a deep understanding By the end of The Gifted Guild's Guide to Depth and Complexity, you will understand the framework, how it fits in your classroom, what parts you may wish to ignore, how to change what you don't like about how you're currently using it, and why it's the tool you need to blow the ceiling off of your classroom.

Learning and Understanding

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 030917080X
Total Pages : 588 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Learning and Understanding by : National Research Council

Download or read book Learning and Understanding written by National Research Council and published by National Academies Press. This book was released on 2002-08-06 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a fresh look at programs for advanced studies for high school students in the United States, with a particular focus on the Advanced Placement and the International Baccalaureate programs, and asks how advanced studies can be significantly improved in general. It also examines two of the core issues surrounding these programs: they can have a profound impact on other components of the education system and participation in the programs has become key to admission at selective institutions of higher education. By looking at what could enhance the quality of high school advanced study programs as well as what precedes and comes after these programs, this report provides teachers, parents, curriculum developers, administrators, college science and mathematics faculty, and the educational research community with a detailed assessment that can be used to guide change within advanced study programs.

Learning How to Learn

Author : Barbara Oakley, PhD
Publisher : Penguin
ISBN 13 : 052550446X
Total Pages : 256 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Learning How to Learn by : Barbara Oakley, PhD

Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: • Why sometimes letting your mind wander is an important part of the learning process • How to avoid "rut think" in order to think outside the box • Why having a poor memory can be a good thing • The value of metaphors in developing understanding • A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.

How People Learn

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309131979
Total Pages : 384 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis How People Learn by : National Research Council

Download or read book How People Learn written by National Research Council and published by National Academies Press. This book was released on 2000-08-11 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methods--to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.

Machine Learning in Finance

Author : Matthew F. Dixon
Publisher : Springer Nature
ISBN 13 : 3030410684
Total Pages : 565 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning in Finance by : Matthew F. Dixon

Download or read book Machine Learning in Finance written by Matthew F. Dixon and published by Springer Nature. This book was released on 2020-07-01 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.