The Elements Of Learning

Author: James M. Banner
Editor: Yale University Press
ISBN: 9780300127157
File Size: 45,52 MB
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This engaging and helpful book is both a thoughtful celebration of the learning process and a practical guide to becoming a better student. Written by the authors of the acclaimed Elements of Teaching, it is designed to help students of all ages—particularly high school and college students—attain their full potential for success in any area of study. James M. Banner, Jr., and Harold C. Cannon explore the qualities needed to get the most out of education: industry, enthusiasm, pleasure, curiosity, aspiration, imagination, self-discipline, civility, cooperation, honesty, and initiative. For each of these elements they offer general reflections, useful suggestions, and a description of a fictional student who either embodies or lacks these qualities. The second part of the book helps students understand the environment in which they learn, by focusing on such topics as teachers, the curriculum, ways of learning, and the transition from school to college. The core points of the text are reinforced by answers to questions that haunt students, as well as tips on what to do to become the best student possible. Throughout, the authors encourage students to consider learning as part of their lives and to be active participants in their own education.

The Elements Of Teaching

Author: James M. Banner
Editor: Yale University Press
ISBN: 0300229887
File Size: 46,18 MB
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A newly revised edition of this classic work, exploring the diverse qualities essential for teaching in today’s educational environment. According to Banner and Cannon, to be an effective teacher requires much more than technical skill. Great teaching is an art that combines a wide range of intellectual, moral, and emotional components. This classic work explores the qualities of mind and spirit that are essential for those seeking to help others acquire knowledge and understanding. It analyzes the specific qualities of successful teachers: learning, authority, ethics, order, imagination, tenacity, compassion, patience, character, and pleasure. Written in a clear and engaging style and applicable to all levels of teaching—be it in schools and universities or on athletic fields and in the home—the book encourages teachers to consider how they might enlarge their understanding of the great art of teaching.

The Elements Of Skill

Author: Theodore Dimon
Editor: North Atlantic Books
ISBN: 1556434766
File Size: 70,56 MB
Format: PDF, Kindle
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Why do so many beginners, both children and adults, fail to master chosen skills? The Elements of Skill was inspired by—and addresses—that question with a program based on proven techniques. The book, written by a renowned practitioner of the Alexander Technique, outlines an educational system that makes the process of learning a performance or athletic skill more conscious, and therefore more successful. Its principles include breaking down a skill into manageable parts, setting realistic goals, observing mind/body processes, overcoming blocks, controlling habits, and achieving heightened awareness and self-mastery. Included are inspiring examples of people who have benefited from the method.

New Learning

Author: Mary Kalantzis
Editor: Cambridge University Press
ISBN: 1107644283
File Size: 38,24 MB
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Fully updated and revised, the second edition of New Learning explores the contemporary debates and challenges in education and considers how schools can prepare their students for the future. New Learning, Second Edition is an inspiring and comprehensive resource for pre-service and in-service teachers alike.

The Elements Of Foreign Language Teaching

Author: Walter Grauberg
Editor: Multilingual Matters
ISBN: 9781853593864
File Size: 70,24 MB
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This text presents an integrated description of learning and teaching foreign languages in general, and French and German in particular. Vocabulary, pronunciation, listening, reading, speaking and writing are discussed with a threefold approach: through a linguistic description, an analysis of the learning process and many practical suggestions for teaching.

The Elements Of Statistical Learning

Author: Trevor Hastie
Editor: Springer Science & Business Media
ISBN: 0387216065
File Size: 24,32 MB
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During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

Learning To Look And Create Elements Of Art Grade 4

Author: Kay Alexander
Editor:
ISBN:
File Size: 14,63 MB
Format: PDF, Kindle
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Introduces basic concepts and vocabulary of art in a sequential manner; develops foundation skills of working with art media and equipment. Includes drawing, painting, sculpture and crafts.

An Easy Method Of Learning The Elements Of The French Pronunciation

Author:
Editor:
ISBN:
File Size: 44,90 MB
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Designing For Learning

Author: George W. Gagnon
Editor: Corwin Press
ISBN: 9780761921592
File Size: 17,91 MB
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Introducing CLD — Constructivist Learning Design — a new and different way of thinking about learning and teaching.

An Introduction To Theories Of Learning

Author: Matthew H. Olson
Editor: Routledge
ISBN: 1000019896
File Size: 70,60 MB
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Since its first edition, An Introduction to Theories of Learning has provided a uniquely sweeping review of the major learning theories from the 20th century that profoundly influenced the field of psychology. In this tenth edition, the authors present further experimental evidence that tests many of the fundamental ideas presented in these classic theories, as well as explore many of the advances in psychological science and neuroscience that have yielded greater insight into the processes that underlie learning in human beings and animals. The four main goals of this text are to define learning and to show how the learning process is studied (Chapters 1 and 2), to place learning theory in historical perspective (Chapter 3), and to present essential features of the major theories of learning with implications for educational practices (Chapters 4 through 16). The authors retained the best features of earlier editions while making revisions that reflect current research and scholarship, including coverage of active learning and the testing effect, information for problem solving in ravens, data illustrating the neurobiological basis of the cognitive map and spatial learning, new research on brain plasticity and its role in learning as well as the impact of poverty on brain and cognitive development, and new evidence that challenges the notion of learning styles. Complete with chapter summaries, discussion questions, and a glossary, this text is essential reading for theories of learning and applied cognitive psychology courses. See "Support Material" below for new online resources. Instructor resources include PowerPoint slides and a testbank containing over 500 questions (in both Microsoft Word and GIFT file formats). Student resources include chapter summaries, discussion questions, and a glossary of key terms.

Elements Of Machine Learning

Author: Pat Langley
Editor: Morgan Kaufmann
ISBN: 9781558603011
File Size: 76,82 MB
Format: PDF
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Machine learning is the computational study of algorithms that improve performance based on experience, and this book covers the basic issues of artificial intelligence. Individual sections introduce the basic concepts and problems in machine learning, describe algorithms, discuss adaptions of the learning methods to more complex problem-solving tasks and much more.

The Elements Of Pedagogy

Author: Emerson Elbridge White
Editor:
ISBN:
File Size: 26,90 MB
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The Bible And Men Of Learning

Author: James McFarlane Mathews
Editor:
ISBN:
File Size: 28,35 MB
Format: PDF, Mobi
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The Elements Of Morality Including Polity V 1

Author: William Whewell
Editor:
ISBN:
File Size: 53,58 MB
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The Elements Of Political Economy

Author: Francis Wayland
Editor:
ISBN:
File Size: 20,64 MB
Format: PDF
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An Outline Of The Elements Of The English Language

Author: Nathaniel George Clark
Editor:
ISBN:
File Size: 68,54 MB
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Handbook Of Game Based Learning

Author: Jan L. Plass
Editor: MIT Press
ISBN: 0262043386
File Size: 72,23 MB
Format: PDF, Mobi
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A comprehensive introduction to the latest research and theory on learning and instruction with computer games. This book offers a comprehensive introduction to the latest research on learning and instruction with computer games. Unlike other books on the topic, which emphasize game development or best practices, Handbook of Game-Based Learning is based on empirical findings and grounded in psychological and learning sciences theory. The contributors, all leading researchers in the field, offer a range of perspectives, including cognitive, motivational, affective, and sociocultural. They explore research on whether (and how) computer games can help students learn educational content and academic skills; which game features (including feedback, incentives, adaptivity, narrative theme, and game mechanics) can improve the instructional effectiveness of these games; and applications, including games for learning in STEM disciplines, for training cognitive skills, for workforce learning, and for assessment. The Handbook offers an indispensable reference both for readers with practical interests in designing or selecting effective game-based learning environments and for scholars who conduct or evaluate research in the field. It can also be used in courses related to play, cognition, motivation, affect, instruction, and technology. Contributors Roger Azevedo, Ryan S. Baker, Daphne Bavelier, Amanda E. Bradbury, Ruth C. Clark, Michele D. Dickey, Hamadi Henderson, Bruce D. Homer, Fengfeng Ke, Younsu Kim, Charles E. Kinzer, Eric Klopfer, James C. Lester, Kristina Loderer, Richard E. Mayer, Bradford W. Mott, Nicholas V. Mudrick, Brian Nelson, Frank Nguyen, V. Elizabeth Owen, Shashank Pawar, Reinhard Pekrun, Jan L. Plass, Charles Raffale, Jonathon Reinhardt, C. Scott Rigby, Jonathan P. Rowe, Richard M. Ryan, Ruth N. Schwartz, Quinnipiac Valerie J. Shute, Randall D. Spain, Constance Steinkuehler, Frankie Tam, Michelle Taub, Meredith Thompson, Steven L. Thorne, A. M. Tsaasan