Download or read book Analysis of Structural Learning written by and published by . This book was released on 1984-06-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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:
Download or read book Analysis of Structural Learning written by Malcolm A. Jeeves and published by . This book was released on 1983 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Journal of Structural Learning written by and published by . This book was released on 1997 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Introduction to Psychoneuroimmunology written by Jorge H. Daruna and published by Academic Press. This book was released on 1984-01-28 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health is maintained by the coordinated operation of all the biological systems that make up the individual. The Introduction to Psychoneuroimmunology, Second Edition, presents an overview of what has been discovered by scientists regarding how bodily systems respond to environmental challenges and intercommunicate to sustain health. The book touches on the main findings from the current literature without being overly technical and complex. The result is a comprehensive overview of psychoneuroimmunology, which avoids oversimplification, but does not overwhelm the reader. Single authored for consistency of breadth and depth, with no redundancy of coverage between chapters Covers endocrine-immune modulation, neuro-immune modulation, and the enhancing or inhibiting processes of one or more systems on the others Expanded use of figures, tables, and text boxes
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:
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.
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
Download or read book Structural learning written by Joseph Michael Scandura and published by . This book was released on 1973 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Extending Structural Learning Paradigms for High dimensional Machine Learning and Analysis written by Christopher Todd Symons and published by . This book was released on 2012 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structure-based machine-learning techniques are frequently used in extensions of supervised learning, such as active, semi-supervised, multi-modal, and multi-task learning. A common step in many successful methods is a structure-discovery process that is made possible through the addition of new information, which can be user feedback, unlabeled data, data from similar tasks, alternate views of the problem, etc. Learning paradigms developed in the above-mentioned fields have led to some extremely flexible, scalable, and successful multivariate analysis approaches. This success and flexibility offer opportunities to expand the use of machine learning paradigms to more complex analyses. In particular, while information is often readily available concerning complex problems, the relationships among the information rarely follow the simple labeled-example-based setup that supervised learning is based upon. Even when it is possible to incorporate additional data in such forms, the result is often an explosion in the dimensionality of the input space, such that both sample complexity and computational complexity can limit real-world success. In this work, we review many of the latest structural learning approaches for dealing with sample complexity. We expand their use to generate new paradigms for combining some of these learning strategies to address more complex problem spaces. We overview extreme-scale data analysis problems where sample complexity is a much more limiting factor than computational complexity, and outline new structural- learning approaches for dealing jointly with both. We develop and demonstrate a method for dealing with sample complexity in complex systems that leads to a more scalable algorithm than other approaches to large-scale multi-variate analysis. This new approach reflects the underlying problem structure more accurately by using interdependence to address sample complexity, rather than ignoring it for the sake of tractability.
Download or read book Assessing the Stability of Structural Learning Measures written by and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study explored two related research questions: (1) Are structural learning measures stable? Sorting concepts printed on cards has traditionally been used for a variety of cognitive modeling applications; Pathfinder is a more recently developed developed, but widely used measure of mental model and concept network learning. Are these measures stable, based on test-retest indices? (2) As students learn more about the topic, does the structural learning measures' stability increase? Does the card sort or Pathfinder learning measure show increased stability as students' long-term memory structures develop?
Download or read book Brain Structure Learning And Memory written by Joel Lance Davis and published by Routledge. This book was released on 2019-04-23 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: In science, a few areas particularly capture the imagination because of a combination of excitement, substantial technical progress, and implicit significance in affecting the nature and quality of life. Perhaps no area of science exhibits these characteristics more abundantly than that dealing with the brain. Once shrouded in the mystical, studies in modem brain science are dramatically enhancing our understanding of brain function and its impact on learning and memory. It is perhaps the union of pragmatic and mystical aspects that makes this such an exciting arena of science. The Office of Naval Research (ONR) began an intensive effort in 1983 on the topic of the neural basis for learning and memory. This effort was aimed at providing the scientific understanding of how learning takes place. It is the expectation that a neurological understanding of learning processes will lead to the formulation of learning strategies that will significantly enhance performance. This is important in a civilian and military population faced with serious manpower problems requiring a few individuals to be more expert with technologically intensive systems. With these motivations in mind, two of us (EJW and RN) formulated a full-day symposium at the AAAS annual meeting held in New York, May 1984.
Download or read book A test theoretical approach to structural learning written by Wilhelm F. Kempf and published by . This book was released on 1975 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Structural Learning written by Joseph M. Scandura and published by . This book was released on 1973 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents.- v.l. The theory and empirical research.- v.II. Issues and approaches.
Download or read book How Learning Works written by Susan A. Ambrose and published by John Wiley & Sons. This book was released on 2010-04-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning
