Learning as a Generative Activity

Author: Richard E. Mayer

Publisher: Cambridge University Press

ISBN:

Category: Business & Economics

Page: 236

View: 347

This book presents eight evidence-based strategies that promote generative learning, which enables learners to apply their knowledge to new problems.

Analysing the Instructional Setting

A Guide for Course Designers

Author: Martin Tessmer

Publisher: Routledge

ISBN:

Category: Education

Page: 180

View: 780

Designed to overcome flaws during the planning and design stages of educational or training courses, this guide explains the importance of physical factors in the instructional environment, the roles of the instructor and learner, and the gathering of information on the learning environment.

Writing as a Learning Tool

Integrating Theory and Practice

Author: Päivi Tynjälä

Publisher: Springer Science & Business Media

ISBN:

Category: Education

Page: 219

View: 539

This book is an outstanding account of the current state of using writing in service of learning. It presents psychological and educational foundations of writing across the curriculum movement and describes writing-to-learn practices implemented at different levels of education. It provides concrete applications and ideas about how to enhance student learning by means of writing. It is useful for educators, curriculum developers, psychologists, cognitive scientists, writing researchers, and teachers.

Face Image Analysis by Unsupervised Learning

Author: Marian Stewart Bartlett

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 173

View: 337

Face Image Analysis by Unsupervised Learning explores adaptive approaches to image analysis. It draws upon principles of unsupervised learning and information theory to adapt processing to the immediate task environment. In contrast to more traditional approaches to image analysis in which relevant structure is determined in advance and extracted using hand-engineered techniques, Face Image Analysis by Unsupervised Learning explores methods that have roots in biological vision and/or learn about the image structure directly from the image ensemble. Particular attention is paid to unsupervised learning techniques for encoding the statistical dependencies in the image ensemble. The first part of this volume reviews unsupervised learning, information theory, independent component analysis, and their relation to biological vision. Next, a face image representation using independent component analysis (ICA) is developed, which is an unsupervised learning technique based on optimal information transfer between neurons. The ICA representation is compared to a number of other face representations including eigenfaces and Gabor wavelets on tasks of identity recognition and expression analysis. Finally, methods for learning features that are robust to changes in viewpoint and lighting are presented. These studies provide evidence that encoding input dependencies through unsupervised learning is an effective strategy for face recognition. Face Image Analysis by Unsupervised Learning is suitable as a secondary text for a graduate-level course, and as a reference for researchers and practitioners in industry.

The School as a Home for the Mind

Creating Mindful Curriculum, Instruction, and Dialogue

Author: Arthur L. Costa

Publisher: Corwin Press

ISBN:

Category: Education

Page: 259

View: 612

Examines why educators need to integrate explicit thinking instruction into daily lessons and illustrates what thinking—and the teaching of thinking—looks and sounds like.

Unsupervised Learning

Foundations of Neural Computation

Author: Geoffrey E. Hinton

Publisher: MIT Press

ISBN:

Category: Computers

Page: 398

View: 593

Introduction; Unsupervised learning; Local synaptic learning rules suffice to maximize mutual information in a linear network; Convergent algorithm for sensory receptive field development; Emergence of position-independent detectors of snese of rotation and dilation with hebbian learning: an analysis; Learning invariance from transformation sequences; Learning perceptually salient visual parameters using spatiotemporal smoothness constraints; Wht is the goal of sensory coding?; An information-maximization approach to blind separation and blid deconvolution; Natural gradient works efficiently in learning; A fast fixed-point algorithm for independent component analysis; Feature extraction using an unsupervised neural network; Learning mixture models of spatial coherence; Baynesian self-organization driven byprior probability distributions; Finding minimum entropy codes; Learning population codes by minimizing description lengththe Helmholtz machine; factor analysis using delta-rule wake-sleep learning; Dimension reduction by local principal component analysis; A resource-allocating network for function interpolation; 20. Learning with preknowledge: clustering with point and graph matching distance measures; 21. Learning to generalize from single examples in the dynamic ling architecture; Index.

Dynamical Vision

ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006, Revised Papers

Author: Rene Vidal

Publisher: Springer Science & Business Media

ISBN:

Category: Computers

Page: 327

View: 458

Classical multiple-view geometry studies the reconstruction of a static scene - served by a rigidly moving camera. However, in many real-world applications the scene may undergo much more complex dynamical changes. For instance, the scene may consist of multiple moving objects (e.g., a tra?c scene) or arti- lated motions (e.g., a walking human) or even non-rigid dynamics (e.g., smoke, ?re, or a waterfall). In addition, some applications may require interaction with the scene through a dynamical system (e.g., vision-guided robot navigation and coordination). To study the problem of reconstructing dynamical scenes, many new al- braic, geometric, statistical, and computational tools have recently emerged in computer vision, computer graphics, image processing, and vision-based c- trol. The goal of the International Workshop on Dynamical Vision (WDV) is to converge di?erent aspects of the research on dynamical vision and to identify common mathematical problems, models, and methods for future research in this emerging and active area.

The Reflective Educator's Guide to Classroom Research

Learning to Teach and Teaching to Learn Through Practitioner Inquiry

Author: Nancy Fichtman Dana

Publisher: Corwin Press

ISBN:

Category: Education

Page: 240

View: 890

Transform your teaching practice with this powerful approach to professional growth! This updated bestseller gives prospective and practicing teachers everything they need to engage in the vital process of teacher inquiry. Featuring helpful exercises and step-by-step instructions, this how-to guide takes teachers through each stage of the process: formulating a research question, collaborating with others, collecting and analyzing data, writing and presenting classroom research, and assessing project quality. This revised edition includes: An updated section about professional learning communities The latest methods of collecting data, from digital photos to blogging Added examples from middle and high school settings

Strategy Synthesis

Resolving Strategy Paradoxes to Create Competitive Advantage : Text and Readings

Author: Bob de Wit

Publisher: Cengage Learning EMEA

ISBN:

Category: Business & Economics

Page: 469

View: 583

The belief that managers and potential managers will profit from understanding the major conflicting approaches to strategy forms the point of departure for this book. Ignoring the profound differences between the various schools of thought does not enhance a manager?s or student?s capacity for strategic thinking. Rather, it is only when there is knowledge of the various points of view can strategists truly see the range of options open to them. Then they can find a way to choose between them, or integrate them, to be practically effective. To structure the comparison of strategy approaches, the most important conflicting strategy perspectives have been clustered together around ten key strategy issues, one key issue per chapter. Two classic readings in each chapter by key strategic thinkers further represent the two opposite positions. De Wit and Meyer?s Strategy Synthesis actively challenges the educational orthodoxy to encourage students and managers to be critical, and to challenge them to be analytical, in order to facilitate creativity and unconventional thinking. In this text the authors carefully guide students and managers through the many, often conflicting, perspectives in the field of strategy, in order to help them become true strategic thinkers. The belief that managers and potential managers will profit from understanding the major conflicting approaches to strategy forms the point of departure for this book. Ignoring the profound differences between the various schools of thought does not enhance a manager?s or student?s capacity for strategic thinking. Rather, it is only when there is knowledge of the various points of view can strategists truly see the range of options open to them. Then they can find a way to choose between them, or integrate them, to be practically effective. To structure the comparison of strategy approaches, the most important conflicting strategy perspectives have been clustered together around ten key strategy issues, one key issue per chapter. Two classic readings in each chapter by key strategic thinkers further represent the two opposite positions. De Wit and Meyer?s Strategy Synthesis actively challenges the educational orthodoxy to encourage students and managers to be critical, and to challenge them to be analytical, in order to facilitate creativity and unconventional thinking. In this text the authors carefully guide students and managers through the many, often conflicting, perspectives in the field of strategy, in order to help them become true strategic thinkers.