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Book Structural learning

Download or read book Structural learning written by Joseph M. Scandura and published by . This book was released on 1976 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Structural Learning  Theory and research

Download or read book Structural Learning Theory and research written by Joseph M. Scandura and published by . This book was released on 1973 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Structural Learning Series

Download or read book Structural Learning Series written by and published by . This book was released on 1973 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Structural Learning  Volume 1

Download or read book Structural Learning Volume 1 written by Joseph M. Scandura and published by Routledge. This book was released on 2017-09-13 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1973, this book was published in two volumes. In the first volume, the author describes what he sees as the rudiments of three deterministic partial theories of structural learning. The first involves competence, partial theories which deal only with the problem of how to account for the various kinds of behavior of which people are typically capable. Special attention is given to mathematical competence. Nothing is said about learning or performance. The second partial theory is concerned with motivation, learning, and performance under idealized conditions, and is obtained from the first partial theory by imposing further structure on it. This theory says nothing about memory of the limited capacity of human subjects to process information. ... The final theory is obtained from the second by making additional assumptions, which bring memory and finite information processing into the picture. The theory is still partial, however, since no attempt is made to deal with certain ultra-short-term behavioral phenomena which appear to depend directly on particular physiological characteristics.

Book Learnability and Cognition  new edition

Download or read book Learnability and Cognition new edition written by Steven Pinker and published by MIT Press. This book was released on 2013-05-24 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: A classic book about language acquisition and conceptual structure, with a new preface by the author, "The Secret Life of Verbs." Before Steven Pinker wrote bestsellers on language and human nature, he wrote several technical monographs on language acquisition that have become classics in cognitive science. Learnability and Cognition, first published in 1989, brought together two big topics: how do children learn their mother tongue, and how does the mind represent basic categories of meaning such as space, time, causality, agency, and goals? The stage for this synthesis was set by the fact that when children learn a language, they come to make surprisingly subtle distinctions: pour water into the glass and fill the glass with water sound natural, but pour the glass with water and fill water into the glass sound odd. How can this happen, given that children are not reliably corrected for uttering odd sentences, and they don't just parrot back the correct ones they hear from their parents? Pinker resolves this paradox with a theory of how children acquire the meaning and uses of verbs, and explores that theory's implications for language, thought, and the relationship between them. As Pinker writes in a new preface, "The Secret Life of Verbs," the phenomena and ideas he explored in this book inspired his 2007 bestseller The Stuff of Thought: Language as a Window into Human Nature. These technical discussions, he notes, provide insight not just into language acquisition but into literary metaphor, scientific understanding, political discourse, and even the conceptions of sexuality that go into obscenity.

Book Better Learning Through Structured Teaching

Download or read book Better Learning Through Structured Teaching written by Douglas Fisher and published by ASCD. This book was released on 2013-12-02 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this updated 2nd edition of the ASCD best-seller, Douglas Fisher and Nancy Frey dig deeper into the hows and whys of the gradual release of responsibility instructional framework. To gradually release responsibility is to equip students with what they need to be engaged and self-directed learners. On a day-to-day level, it means delivering lessons purposefully planned to incorporate four essential and interrelated instructional phases: Focused Instruction: Preparing students for learning by establishing lesson purpose, modeling strategies and skills, thinking aloud, and noticing how students respond. Guided Instruction: Strategically using prompts, cues, and questions to lead students to new understanding. Collaborative Learning: Allowing students to consolidate their understanding through exploration, problem-solving, discussion, and thinking with their peers. Independent Learning: Requiring students to use the skills and knowledge they've acquired to create authentic products and ask new questions. The authors explore each phase, using real-life examples from a variety of disciplines. You'll find tips and tools for classroom implementation, including checklists for planning and assessment; advice on feedback, homework, group work, differentiated instruction, and blended learning; answers to frequently asked questions; and examples that align to Common Core State Standards. No matter what grade level or subject you teach, Better Learning Through Structured Teaching is your essential guide to helping students expand their capacity for successful and long-lasting learning.

Book Structural Learning

    Book Details:
  • Author : Joseph M. Scandura
  • Publisher :
  • Release : 1977
  • ISBN :
  • Pages : 367 pages

Download or read book Structural Learning written by Joseph M. Scandura and published by . This book was released on 1977 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Structural Learning

Download or read book Structural Learning written by and published by . This book was released on 1973 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Evaluating the Quality of Learning

Download or read book Evaluating the Quality of Learning written by John B. Biggs and published by Academic Press. This book was released on 2014-05-10 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Educational Psychology Series: Evaluating the Quality of Learning: The SOLO Taxonomy (Structure of the Observed Learning Outcome) focuses on the approaches, methodologies, and techniques employed in the valuation of the quality of learning. The publication first offers information on the quality and quantity of learning and origin and description of the Structure of the Observed Learning Outcome (SOLO) taxonomy. Discussions focus on general intellectual development and the growth of quality; some assumptions and applications of stage theory; from developmental stage to levels of learning quality; and general intellectual development and the growth of quality. The text then examines the teaching of history, elementary mathematics, English, and geography. Topics include interpreting a map and drawing conclusions, explaining a natural phenomenon, appreciation of poetry, implications for the teaching of history, English, and mathematics, numbers and operations, and general application of SOLO to history. The manuscript takes a look at modern languages, place of the taxonomy in instructional design, and some methodological considerations. Concerns include alternative formats for obtaining SOLO responses, instructional processes, curriculum analysis, remediation, and teacher intentions. The publication is a vital source of data for educators interested in the SOLO taxonomy.

Book Structural learning

Download or read book Structural learning written by Joseph M. Scandura and published by . This book was released on 1973 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Goal Directed Decision Making

Download or read book Goal Directed Decision Making written by Richard W. Morris and published by Academic Press. This book was released on 2018-08-23 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making. Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making

Book Structural learning  Vol  2

Download or read book Structural learning Vol 2 written by J. M. Scandura and published by . This book was released on 1976 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Learning in Public

    Book Details:
  • Author : Courtney E. Martin
  • Publisher : Little, Brown
  • Release : 2021-08-03
  • ISBN : 0316428256
  • Pages : 397 pages

Download or read book Learning in Public written by Courtney E. Martin and published by Little, Brown. This book was released on 2021-08-03 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This "provocative and personally searching"memoir follows one mother's story of enrolling her daughter in a local public school (San Francisco Chronicle), and the surprising, necessary lessons she learned with her neighbors. From the time Courtney E. Martin strapped her daughter, Maya, to her chest for long walks, she was curious about Emerson Elementary, a public school down the street from her Oakland home. She learned that White families in their gentrifying neighborhood largely avoided the majority-Black, poorly-rated school. As she began asking why, a journey of a thousand moral miles began. Learning in Public is the story, not just Courtney’s journey, but a whole country’s. Many of us are newly awakened to the continuing racial injustice all around us, but unsure of how to go beyond hashtags and yard signs to be a part of transforming the country. Courtney discovers that her public school, the foundation of our fragile democracy, is a powerful place to dig deeper. Courtney E. Martin examines her own fears, assumptions, and conversations with other moms and dads as they navigate school choice. A vivid portrait of integration’s virtues and complexities, and yes, the palpable joy of trying to live differently in a country re-making itself. Learning in Public might also set your family’s life on a different course forever.

Book Learning to Make a Difference

Download or read book Learning to Make a Difference written by Etienne Wenger-Trayner and published by Cambridge University Press. This book was released on 2020-10-01 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, more people want to know how to make a meaningful difference to what they care about. But for that, traditional approaches to learning often fall short. In this book, we offer a theoretical and practical way forward. We introduce the concept of social learning spaces for developing both new capabilities and a sense of agency. We provide a rich framework for focusing on the value of social learning spaces: how to generate this value, monitor it, and learn iteratively through the process. The book is a useful extension and refinement of 'communities of practice' for those familiar with the theory. For those who are not, the chapters will lay out a new way to approach learning. This volume is written to serve the needs of readers across fields, including researchers, educators, and leaders in business, government, healthcare, and international development.

Book Learning Structures

Download or read book Learning Structures written by Ruby K. Payne and published by . This book was released on 2005 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Structural Learning  Volume 2

Download or read book Structural Learning Volume 2 written by Joseph M. Scandura and published by Routledge. This book was released on 2017-09-13 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1976, this title is an edited volume and reflects the major approaches being taken in structural learning at the time. Chapter 1 deals with the basic question of whether competence (knowledge) should be characterized in terms of rules (automata), on the one hand, or associations on the other. The bulk of Chapter 2 is devoted to a series of earlier experiments on rule learning by the editor and his associates. The two contributions in Chapter 3 deal with graph theoretical models. Piagetian models constitute the subject of Chapter 4. Chapter 5 deals with attempts to stimulate human behaviour with a computer. Chapter 6 ranges over a wide variety of competence models, with particular reference to logic and mathematics. In Chapter 7 the editor proposes a new theory of structural learning, together with some empirical results.

Book Deep Learning with Structured Data

Download or read book Deep Learning with Structured Data written by Mark Ryan and published by Simon and Schuster. This book was released on 2020-12-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Summary Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Here’s a dirty secret: Half of the time in most data science projects is spent cleaning and preparing data. But there’s a better way: Deep learning techniques optimized for tabular data and relational databases deliver insights and analysis without requiring intense feature engineering. Learn the skills to unlock deep learning performance with much less data filtering, validating, and scrubbing. About the book Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you’ll learn how easy it is to set up tabular data for deep learning, while solving crucial production concerns like deployment and performance monitoring. What's inside When and where to use deep learning The architecture of a Keras deep learning model Training, deploying, and maintaining models Measuring performance About the reader For readers with intermediate Python and machine learning skills. About the author Mark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto. Table of Contents 1 Why deep learning with structured data? 2 Introduction to the example problem and Pandas dataframes 3 Preparing the data, part 1: Exploring and cleansing the data 4 Preparing the data, part 2: Transforming the data 5 Preparing and building the model 6 Training the model and running experiments 7 More experiments with the trained model 8 Deploying the model 9 Recommended next steps