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Author: Duane F. Shell
Publisher: Springer Science & Business Media
ISBN: 9048132169
Category : Education
Languages : en
Pages : 211
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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
Get Book Here
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: Vlad T. Chiriacescu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Richard Golden
Publisher: CRC Press
ISBN: 1351051490
Category : Computers
Languages : en
Pages : 525
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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: Sandra N. Kaplan
Publisher: Corwin Press
ISBN: 145221350X
Category : Education
Languages : en
Pages : 129
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Book Description
Featuring 16 field-tested lesson plans, this book presents a high-quality curriculum that helps urban youth develop key learning skills such as resiliency, self-motivation, and collaboration.
Author: Grady Booch
Publisher: Addison-Wesley Professional
ISBN: 9780134852157
Category :
Languages : en
Pages : 504
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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: Scott Ambler
Publisher: John Wiley & Sons
ISBN: 047127190X
Category : Computers
Languages : en
Pages : 402
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Book Description
The first book to cover Agile Modeling, a new modeling technique created specifically for XP projects eXtreme Programming (XP) has created a buzz in the software development community-much like Design Patterns did several years ago. Although XP presents a methodology for faster software development, many developers find that XP does not allow for modeling time, which is critical to ensure that a project meets its proposed requirements. They have also found that standard modeling techniques that use the Unified Modeling Language (UML) often do not work with this methodology. In this innovative book, Software Development columnist Scott Ambler presents Agile Modeling (AM)-a technique that he created for modeling XP projects using pieces of the UML and Rational's Unified Process (RUP). Ambler clearly explains AM, and shows readers how to incorporate AM, UML, and RUP into their development projects with the help of numerous case studies integrated throughout the book. AM was created by the author for modeling XP projects-an element lacking in the original XP design The XP community and its creator have embraced AM, which should give this book strong market acceptance Companion Web site at www.agilemodeling.com features updates, links to XP and AM resources, and ongoing case studies about agile modeling.
Author: Peter P. Chen
Publisher: Springer
ISBN: 354077503X
Category : Computers
Languages : en
Pages : 234
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Book Description
This volume is a collection of papers presented during the first International ACM-L Workshop, which was held in Tucson, Arizona, during the 25th International Conference on Conceptual Modeling, ER 2006. Included in this state-of-the-art survey are 11 revised full papers, carefully reviewed and selected from the workshop presentations. These are rounded off with four invited lectures and an introductory overview, and represent the current thinking in conceptual modeling research.
Author: Mariale M. Hardiman
Publisher: Corwin Press
ISBN: 1412991986
Category : Education
Languages : en
Pages : 257
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Book Description
Compatible with other professional development programs, this model shows how to apply relevant research from educational and cognitive neuroscience to classroom settings through a pedagogical framework. The model's six components are: 1) Establish the emotional connection to learning; 2) Develop the physical learning environment; 3) Design the learning experience; 4) Teach for the mastery of content, skills, and concepts; 5) Teach for the extension and application of knowledge; 6) Evaluate learning. --Book cover.
Author: Kelly M. Krehbiel
Publisher:
ISBN:
Category :
Languages : en
Pages : 67
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Book Description
The purpose for researching and developing an understanding of a well constructed Learning Center is to establish a model for Apple Elementary to incorporate as a means for improving service supports for all students. Apple Elementary is a pseudo name for a school located in Northern San Diego. The unified school district in which Apple Elementary is a part of has asked all elementary schools to establish and implement the Learning Center Model. Each site was given one professional development opportunity, where special education teachers, selected general education teachers, and one administrator listened to a shared vision for the new Learning Center Model development plan. The first step was to bring all students to their neighborhood, no matter the students' needs and previous programs in which they were enrolled. In need of a plan, the author conducted research of various inclusion and mainstreaming programs to gather ideas in order to create a well functioning Learning Center.
Author: Amy B.M. Tsui
Publisher: Routledge
ISBN: 1135604754
Category : Education
Languages : en
Pages : 200
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Book Description
This volume looks at school-university partnerships from sociocultural perspectives of learning that view participation in social practice as fundamental to the process of learning. Its two major themes – school-university partnership and sociocultural and social theories of learning – have both been treated extensively in the literature. It is the bringing together of these two themes that makes this book unique. In this examination of an evolving model of school-university partnership, the Unified Professional Development Project in Hong Kong, the authors analyze the learning that takes place as the participants (student-teachers, mentor teachers, and university supervisors) mutually engage in the enterprise of improving teaching and learning in schools, developing shared practices, and creating new communities of practice. Although it describes one specific context, the book is not just about this locale. Rather, the Unified Professional Development Project is used as a context for theorizing more generally a social theory of learning for school-university partnerships that is relevant to any other similar context. This book will interest teacher educators, researchers in teacher education and teacher development, policy makers, and school practitioners who are involved in school-university partnerships.
