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Author: Duane F. Shell Publisher: Springer Science & Business Media ISBN: 9048132169 Category : Education Languages : en Pages : 211
Book Description
This is a book about how humans learn. Our focus is on classroom learning although the principles are, as the name of this book indicates, universal. We are concerned with learning from pre-school to post-graduate. We are concerned with most bu- ness, industrial and military training. We do not address how infants learn how to speak or walk, or how grown-ups improve their tennis swing. We do address all learning described by the word “thought”, as well as anything we might try to teach, or instruct in formal educational settings. In education, the words theory and model imply conjecture. In science, these same words imply something that is a testable explanation of phenomena able to predict outcomes of experiments. This book presents a model of learning that the authors offer in the sense of scientists rather than educators. Conjecture implies that information is incomplete, and so it surely is with human learning. On the other hand, we assert that more than enough is known to sustain a “scienti?c” model of learning. This book is not a review of the literature. Instead, it is a synthesis. Scholars and many teachers likely have heard much if not most or even all of the information we use to develop the uni?ed learning model. What you have not read before is a model putting the information together in just this way; this is the ?rst one.
Author: Duane F. Shell Publisher: Springer Science & Business Media ISBN: 9048132169 Category : Education Languages : en Pages : 211
Book Description
This is a book about how humans learn. Our focus is on classroom learning although the principles are, as the name of this book indicates, universal. We are concerned with learning from pre-school to post-graduate. We are concerned with most bu- ness, industrial and military training. We do not address how infants learn how to speak or walk, or how grown-ups improve their tennis swing. We do address all learning described by the word “thought”, as well as anything we might try to teach, or instruct in formal educational settings. In education, the words theory and model imply conjecture. In science, these same words imply something that is a testable explanation of phenomena able to predict outcomes of experiments. This book presents a model of learning that the authors offer in the sense of scientists rather than educators. Conjecture implies that information is incomplete, and so it surely is with human learning. On the other hand, we assert that more than enough is known to sustain a “scienti?c” model of learning. This book is not a review of the literature. Instead, it is a synthesis. Scholars and many teachers likely have heard much if not most or even all of the information we use to develop the uni?ed learning model. What you have not read before is a model putting the information together in just this way; this is the ?rst one.
Author: Richard Golden Publisher: CRC Press ISBN: 1351051490 Category : Computers Languages : en Pages : 525
Book Description
The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models.
Author: Gregg Henriques Publisher: Springer Science & Business Media ISBN: 1461400589 Category : Psychology Languages : en Pages : 297
Book Description
Concern about psychology’s fragmentation is not new, but there has for the past decade been increasing calls for psychologists to acknowledge to the costs associated with fragmentation and to search for ways to unify the discipline. A New Unified Theory of Psychology introduces a new system that addresses psychology’s current theoretical and philosophical difficulties. The new theory consists of four interlocking pieces that together provide—for the first time—a macro-level view that clarifies the nature of psychology’s problems and offers a clear way to unify the various elements of the field. The unified theory provides the field of psychology with a well-defined subject matter, allowing both academic and professional psychologists will be able to develop a shared language and conceptual foundation.
Author: Grady Booch Publisher: Addison-Wesley Professional ISBN: 9780134852157 Category : Languages : en Pages : 504
Book Description
For nearly ten years, the Unified Modeling Language (UML) has been the industry standard for visualizing, specifying, constructing, and documenting the artifacts of a software-intensive system. As the de facto standard modeling language, the UML facilitates communication and reduces confusion among project stakeholders. The recent standardization of UML 2.0 has further extended the language's scope and viability. Its inherent expressiveness allows users to model everything from enterprise information systems and distributed Web-based applications to real-time embedded systems. In this eagerly anticipated revision of the best-selling and definitive guide to the use of the UML, the creators of the language provide a tutorial to its core aspects in a two-color format designed to facilitate learning. Starting with an overview of the UML, the book explains the language gradually by introducing a few concepts and notations in each chapter. It also illustrates the application of the UML to complex modeling problems across a variety of application domains. The in-depth coverage and example-driven approach that made the first edition of The Unified Modeling Language User Guide an indispensable resource remain unchanged. However, content has been thoroughly updated to reflect changes to notation and usage required by UML 2.0. Highlights include: A new chapter on components and internal structure, including significant new capabilities for building encapsulated designs New details and updated coverage of provided and required interfaces, collaborations, and UML profiles Additions and changes to discussions of sequence diagrams, activity diagrams, and more Coverage of many other changes introduced by the UML 2.0 specification With this essential guide, you will quickly get up to speed on the latest features of the industry standard modeling language and be able to apply them to your next software project.
Author: Allen Newell Publisher: Harvard University Press ISBN: 9780674921016 Category : Psychology Languages : en Pages : 580
Book Description
Newell introduces Soar, an architecture for general cognition. A pioneer system in AI, Soar is the first problem-solver to create its own subgoals and learn continuously from its own experience. Its ability to operate within the real-time constraints of intelligent behavior illustrates important characteristics of human cognition.
Author: Theodore Wasserman Publisher: Springer ISBN: 3319608495 Category : Psychology Languages : en Pages : 217
Book Description
This groundbreaking volume introduces the theoretical base and clinical methods of Neurocognitive Learning Therapy, an integrative framework for client-centered intervention. The model unifies psychology and neuroscience in revisiting the connections between brain and behavior, replacing the cognitive-versus-affective binary traditional to clinical thinking with a scenario of the cognitive and emotional learning processes that work together to shape adaptive and pathological behavior. This foundation in learning theory illuminates the therapeutic relationship, synching how therapists teach with how clients learn, with guidelines for educating to encourage change. The unique flexibility of the NCLT model allows practitioners across clinical orientations the freedom to apply eclectic intervention strategies that fit clients’ learning styles and therapeutic needs. Included in the coverage: Neurocognitive Learning Therapy and Life Course Theory. Reward recognition in Neurocognitive Learning Therapy. Memory reconsolidation and Neurocognitive Learning Therapy. How to be an NCLT therapist. Neurocognitive Learning Therapy clinical procedures. Treating children with Neurocognitive Learning Therapy. Plus practice handouts and forms for therapists and patients. Neuropsychologists, child and school psychologists, and social workers will welcome Neurocognitive Learning Therapy not only as a source of theoretical insight into the brain and behavior, but also as an innovative system for enhancing their capacity for therapeutic teaching and their clients’ capacity for learning.
Author: James Rumbaugh Publisher: Addison-Wesley Professional ISBN: 9780321718952 Category : Computers Languages : en Pages : 721
Book Description
"If you are a serious user of UML, there is no other book quite like this one. I have been involved with the UML specification process for some time, but I still found myself learning things while reading through this book-especially on the changes and new capabilities that have come with UML." -Ed Seidewitz, Chief Architect, IntelliData Technologies Corporation The latest version of the Unified Modeling Language-UML 2.0-has increased its capabilities as the standard notation for modeling software-intensive systems. Like most standards documents, however, the official UML specification is difficult to read and navigate. In addition, UML 2.0 is far more complex than previous versions, making a thorough reference book more essential than ever. In this significantly updated and expanded edition of the definitive reference to the standard, James Rumbaugh, Ivar Jacobson, and Grady Booch-the UML's creators-clearly and completely describe UML concepts, including major revisions to sequence diagrams, activity models, state machines, components, internal structure of classes and components, and profiles. Whether you are capturing requirements, developing software architectures, designing implementations, or trying to understand existing systems, this is the book for you. Highlights include: Alphabetical dictionary of articles covering every UML concept Integrated summary of UML concepts by diagram type Two-color diagrams with extensive annotations in blue Thorough coverage of both semantics and notation, separated in each article for easy reference Further explanations of concepts whose meaning or purpose is obscure in the original specifications Discussion sections offering usage advice and additional insight into tricky concepts Notation summary, with references to individual articles An enhanced online index available on the book's web site allowing readers to quickly and easily search the entire text for specific topics The result is an indispensable resource for anyone who needs to understand the inner workings of the industry standard modeling language.
Author: Marc Spaniol Publisher: Springer Science & Business Media ISBN: 364203425X Category : Computers Languages : en Pages : 491
Book Description
This book constitutes the refereed proceedings of the 8th International Conference on Web-Based Learning, ICWL 2009, held in Aachen, Germany, in August 2009. The 38 revised full papers and 14 short papers are presented together with three invited papers and were carefully reviewed and selected from 106 submissions. They deal with topics such as technology enhanced learning, web-based learning for oriental languages, mobile learning, social software and Web 2.0 for technology enhanced learning, learning resource deployment, organization and management, design, model and framework of E-learning systems, e-learning metadata and standards, educational gaming and multimedia storytelling for learning, as well as practice and experience sharing and pedagogical Issues.
Author: Ezra Schwartz Publisher: Packt Publishing Ltd ISBN: 1787120112 Category : Computers Languages : en Pages : 392
Book Description
Learn how to unify Customer Experience, User Experience and more to shape lasting customer engagement in a world of rapid change. About This Book An introductory guide to Experience Design that will help you break into XD as a career by gaining A strong foundational knowledge Get acquainted with the various phases of a typical Experience Design workflow Work through the key process and techniques in XD, supported by most of the common use cases Who This Book Is For This book is for designers who wish to enter the field of UX Design, especially Programmers, Content Strategists, and Organizations keen to understand the core concepts of UX Design. What You Will Learn Understand why Experience Design (XD) is at the forefront of business priorities, as organizations race to innovate products and services in order to compete for customers in a global economy driven by technology and change Get motivated by the numerous professional opportunities that XD opens up for practitioners in wide-ranging domains, and by the stories of real XD practitioners Understand what experience is, how experiences are designed, and why they are effective Gain knowledge of user-centered design principles, methodologies, and best practices that will improve your product (digital or physical) Get to know your X's and D's—understand the differences between XD and UX, CX, IxD, IA, SD, VD, PD, and other design practices In Detail We live in an experience economy in which interaction with products is valued more than owning them. Products are expected to engage and delight in order to form the emotional bonds that forge long-term customer loyalty: Products need to anticipate our needs and perform tasks for us: refrigerators order food, homes monitor energy, and cars drive autonomously; they track our vitals, sleep, location, finances, interactions, and content use; recognize our biometric signatures, chat with us, understand and motivate us. Beautiful and easy to use, products have to be fully customizable to match our personal preferences. Accomplishing these feats is easier said than done, but a solution has emerged in the form of Experience design (XD), the unifying approach to fusing business, technology and design around a user-centered philosophy. This book explores key dimensions of XD: Close collaboration among interdisciplinary teams, rapid iteration and ongoing user validation. We cover the processes, methodologies, tools, techniques and best-practices practitioners use throughout the entire product development life-cycle, as ideas are transformed to into positive experiences which lead to perpetual customer engagement and brand loyalty.
Author: Theodore Wasserman Publisher: Springer ISBN: 3319309102 Category : Psychology Languages : en Pages : 185
Book Description
This brief, accessible treatise harnesses the neurophysiological processes of learning to create an innovative and powerful approach to therapy. It sets out a non-pathologizing alternative not only to the current medicalized conception of diagnosis and treatment but also to the labeling of relatively normal reactions to stressors and upsets as illnesses. Rooted in the neurobiology of human learning, the book’s approach to treatment, Neuro-Cognitive Learning Therapy, characterizes maladaptive behavior patterns as learned responses to upsetting conditions—processes which can be unlearned. In addition, the coverage includes a clinical teaching guide for bringing NCLT theory and methods into the training curriculum. This groundbreaking volume: Proposes a non-stigmatizing learning model for therapy, Neuro-Cognitive Learning Therapy. Introduces the concept of the connectome and explains its critical role in mental health and illness. Differentiates between the unconscious and automaticity in cognition and behavior. Addresses the applicability of NCLT to biologically-based mental disorders. Offers case studies illustrating NCLT in contrast with commonly-used approaches. Includes a chapter-by-chapter clinical teaching guide with therapeutic principles and discussion questions. Provides a comprehensive therapeutic framework for practitioners of all orientations. Depathologizing Psychopathology gives neuropsychologists, psychiatrists, clinical social workers, and child and school psychologists new ways of thinking about mental illness and learning about learning for a bold new step in the evolution of mind/brain knowledge.
Author: Duane F. Shell
Author: Duane F. Shell
Author: Richard Golden
Author: Gregg Henriques
Author: Grady Booch
Author: Allen Newell
Author: Theodore Wasserman
Author: James Rumbaugh
Author: Marc Spaniol
Author: Ezra Schwartz
Author: Theodore Wasserman