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Children with developmental disabilities inhabit a gray zone: they live and learn under normal conditions in some aspects of their lives, while their "inconvenient brains" present a range of challenges in other school and life contexts. Dr. Martha Bridge Denckla provides parents and educators with general knowledge, research findings, and practical recommendations about a variety of these developmental conditions, including dyslexia, dyscalculia, ADHD, autism spectrum disorder, problems with motor coordination, and executive dysfunction. Inspired by her efforts to explain these conditions to parents over 45 years of clinical practice, she provides a science-based understanding of the issues in an accessible format. She uses the science of cognitive and behavioral neurology to help readers understand how the interrelationships of brain, environment, and behavior produce these developmental disorders, and to provide a basis for parenting and education programs based upon understanding how variations in brain development should guide plans for what is taught when to whom. Such developmentally appropriate, evidence-based, differentiated instruction within general education can diminish the demand for separate special education, and will thus serve all kinds of brains, whether "typical" or "inconvenient."

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Children with developmental disabilities inhabit a gray zone: they live and learn under normal conditions in some aspects of their lives, while their "inconvenient brains" present a range of challenges in other school and life contexts. Dr. Martha Bridge Denckla provides parents and educators with general knowledge, research findings, and practical recommendations about a variety of these developmental conditions, including dyslexia, dyscalculia, ADHD, autism spectrum disorder, problems with motor coordination, and executive dysfunction. Inspired by her efforts to explain these conditions to parents over 45 years of clinical practice, she provides a science-based understanding of the issues in an accessible format. She uses the science of cognitive and behavioral neurology to help readers understand how the interrelationships of brain, environment, and behavior produce these developmental disorders, and to provide a basis for parenting and education programs based upon understanding how variations in brain development should guide plans for what is taught when to whom. Such developmentally appropriate, evidence-based, differentiated instruction within general education can diminish the demand for separate special education, and will thus serve all kinds of brains, whether "typical" or "inconvenient."

“How to Solve It” is not strictly speaking a math book. It is a book about how to solve problems of any kind, of which math is just one type of problem. The same techniques could in principle be used to solve any problem one encounters in life (such as how to choose the best wife??). Therefore, Polya wrote the current volume to explain how the techniques set forth in "How to Solve It" can be applied to specific areas such as geometry. The method of solving problems he provides and explains in his books was developed as a way to teach mathematics to students. The steps seem simple but yet are often not followed. For example, the first step to solving a problem is: Understand the problem. As he points out, this seems so obvious that it is often not even mentioned. Yet, would-be problem solvers often do not understand the problem fully. This step too can be broken down into smaller steps.

“How to Solve It” is not strictly speaking a math book. It is a book about how to solve problems of any kind, of which math is just one type of problem. The same techniques could in principle be used to solve any problem one encounters in life (such as how to choose the best wife??). Therefore, Polya wrote the current volume to explain how the techniques set forth in "How to Solve It" can be applied to specific areas such as geometry. The method of solving problems he provides and explains in his books was developed as a way to teach mathematics to students. The steps seem simple but yet are often not followed. For example, the first step to solving a problem is: Understand the problem. As he points out, this seems so obvious that it is often not even mentioned. Yet, would-be problem solvers often do not understand the problem fully. This step too can be broken down into smaller steps.

“Solving problems”, writes Polya, “is a practical art, like swimming, or skiing, or playing the piano: You can learn it only by imitation and practice. This book cannot offer you a magic key that opens all the doors and solves all the problems, but it offers you good examples for imitation and many opportunities for practice: If you wish to learn swimming you have to go into the water and if you wish to become a problem solver you have to solve problems.” “In enough cases to allay ... discouragement over not immediately discovering a solution, Professor Polya masterfully leads the reader down several unproductive paths. At the end of each chapter he provides examples for the render to solve. By means of these carefully selected and arranged problems, many of them directly related to others that precede, and guided by just the right suggestions at just the proper time, the reader's own ability is developed and extended. Solutions to the examples and, in many cases, outlines of procedures for discovering solutions. arc given at the back of the book. With striking promise for effectiveness, the entire book as a unit is one great experience in learning processes for problem solving through participation. The author has captured with great success the implication of his basic premise stated in the preface ...” The Mathematics Teacher 218 pages.

“Solving problems”, writes Polya, “is a practical art, like swimming, or skiing, or playing the piano: You can learn it only by imitation and practice. This book cannot offer you a magic key that opens all the doors and solves all the problems, but it offers you good examples for imitation and many opportunities for practice: If you wish to learn swimming you have to go into the water and if you wish to become a problem solver you have to solve problems.” “In enough cases to allay ... discouragement over not immediately discovering a solution, Professor Polya masterfully leads the reader down several unproductive paths. At the end of each chapter he provides examples for the render to solve. By means of these carefully selected and arranged problems, many of them directly related to others that precede, and guided by just the right suggestions at just the proper time, the reader's own ability is developed and extended. Solutions to the examples and, in many cases, outlines of procedures for discovering solutions. arc given at the back of the book. With striking promise for effectiveness, the entire book as a unit is one great experience in learning processes for problem solving through participation. The author has captured with great success the implication of his basic premise stated in the preface ...” The Mathematics Teacher 218 pages.

A unique, heuristic approach to mathematical discovery and problem solving This combined edition of Mathematical Discovery: On Understanding, Learning and Teaching Problem Solving is unique among mathematics texts. Espousing a heuristic approach to mathematical problem solving, the text may be followed sequentially or according to instructors' individualized curricula. Beginning with a discussion of patterns and practical approaches to problem solving, the book then presents examples from various branches of math and science to help students discover how to solve problems on their own – an invaluable skill for the classroom and beyond.

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Of all the topics ever studied, surely one of the most compelling is human learning itself. What is the nature of the human mind? How do we understand and process new information? Where do new ideas come from? How is our very intelligence a product of society and culture? Computers, Cockroaches, and Ecosystems: Understanding Learning through Metaphor brings to light the great discoveries about human learning by illuminating key metaphors underlying the major learning perspectives. Such metaphors include, among others, the mind as computer, the mind as ecosystem, and the mind as cultural tools. These metaphors reveal the essence of different learning perspectives in a way that is accessible and engaging for teachers and students. Each metaphor is brought to life through stories ranging from the humorous to the profound. The book conveys scholarly ideas in a personal manner and will be a delight for teachers, university students, parents, business or military trainers, or anyone with an interest in learning.

Paperback International Edition ... Same contents as in the US edition at Low Cost !!

Of all the topics ever studied, surely one of the most compelling is human learning itself. What is the nature of the human mind? How do we understand and process new information? Where do new ideas come from? How is our very intelligence a product of society and culture? Computers, Cockroaches, and Ecosystems: Understanding Learning through Metaphor brings to light the great discoveries about human learning by illuminating key metaphors underlying the major learning perspectives. Such metaphors include, among others, the mind as computer, the mind as ecosystem, and the mind as cultural tools. These metaphors reveal the essence of different learning perspectives in a way that is accessible and engaging for teachers and students. Each metaphor is brought to life through stories ranging from the humorous to the profound. The book conveys scholarly ideas in a personal manner and will be a delight for teachers, university students, parents, business or military trainers, or anyone with an interest in learning.

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.

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There is an increasing proliferation of service-learning courses in colleges and universities in the U.S. and internationally, and research in the field has seen significant growth in diverse geographic areas in the past decade. Membership organizations now exist to convene scholars and practitioners across the globe. Chapters in this volume are based on presentations given at the 2010 annual conference of the International Association for Research on Service Learning and Community Engagement held in Indianapolis, IN. The conference theme "International Perspectives: Crossing Boundaries through Research"was chosen to highlight ways in which research crosses all kinds of boundaries: disciplinary boundaries, cultural boundaries, and national boundaries. Although service-learning is valued as an active learning strategy across the globe, little is known about the ways that service-learning is similar or different in varied contexts. Understanding service-learning and community engagement from cross-cultural and crossdisciplinary perspectives will improve both research and practice. Together, these chapters represent the diversity, complexity, and creativity evident by scholars and practitioners in this field of study.

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A guide for effective development & delivery of distance education programs. Focuses on principles of distance education, clarifications of who distance education learners are, and examples of learner-focused distance education programs. An essential reference for those about to create distance education programs, those currently conducting distance education programs, and learners who are considering the challenge of learning at a distance."This is a must-read for all educators and learners who are committed to enhancing and succeeding in teaching and learning at a distance. From theoretical grounding in adult learning to very unique, practical tools and suggestions that translate theory into successful practice, this book brings forth essential new insights to the distance education arena. We come away challenged to further enhance our own efforts in formal and nonformal distance education." (Joan Cybela, Professor, University of Wisconsin-Extension)

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for an advanced undergraduate or beginning graduate course, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics, and engineering.

Since its first publication in 1988, America's Neighborhood Bats has changed the way we look at bats by underscoring their harmless and beneficial nature. In this second revised edition, Merlin Tuttle offers bat aficionados the most up-to-date bat facts, including a wealth of new information on bat house design and current threats to bat survival.

Since its publication in 1988, America's Neighborhood Bats has changed the way we look at bats by underscoring their harmless and beneficial nature. In this revised edition, Merlin D. Tuttle, founder and science director of Bat Conservation International in Austin, Texas, offers bat aficionados the most up-to-date bat facts, including a wealth of new information on attracting bats and building bat houses and a totally revamped key to the identification of common North American species.