The Elements Of Learning
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The Elements Of Learning
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Author : James M. Banner
language : en
Publisher: Yale University Press
Release Date : 2008-10-01
The Elements Of Learning written by James M. Banner and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-01 with Study Aids categories.
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
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Author : James M. Banner
language : en
Publisher: Yale University Press
Release Date : 2008-10-01
The Elements Of Teaching written by James M. Banner and has been published by Yale University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-01 with Education categories.
What are the characteristics of a great teacher? What qualities of mind and spirit are necessary to help others acquire the knowledge through which they can understand and live a good life? In this book, James Banner and Harold Cannon draw on many years of experience to set forth the intellectual, moral, and emotional capacities that they believe the best teachers must possess. Their book is an inspiring guide to current and future school teachers and to college and university professors—indeed to everyone who teaches anything to anyone else. Arguing that teaching is an art, Banner and Cannon help teachers understand its components. They analyze the specific qualities of successful teachers and the ways in which these qualities promote learning and understanding. Throughout, they illustrate their discussion with sharply etched portraits of fictional teachers who exemplify—or fail to exemplify—a particular quality. Neither a how-to book nor a consideration of the philosophy, methods, or activities of teaching, this book, more precisely, assesses what it takes to teach. It encourages teachers to consider how they might strengthen their own level of professional performance.
The Elements Of Statistical Learning
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Author : Trevor Hastie
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
The Elements Of Statistical Learning written by Trevor Hastie and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Mathematics categories.
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 is 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.
Elements Of Machine Learning
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Author : Pat Langley
language : en
Publisher: Morgan Kaufmann
Release Date : 1996
Elements Of Machine Learning written by Pat Langley and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
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.
New Learning
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Author : Mary Kalantzis
language : en
Publisher: Cambridge University Press
Release Date : 2012-06-29
New Learning written by Mary Kalantzis and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-29 with Education categories.
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.
An Introduction To Statistical Learning
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Author : Gareth James
language : en
Publisher: Springer Nature
Release Date : 2023-06-30
An Introduction To Statistical Learning written by Gareth James and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Mathematics categories.
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Designing For Learning
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Author : George W. Gagnon
language : en
Publisher: Corwin Press
Release Date : 2001
Designing For Learning written by George W. Gagnon and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.
This book shows educators how to rethink teaching by challenging their beliefs about knowledge and learning. It helps teachers organize for student learning rather than plan for teacher telling by applying constructivist learning theory in the classroom. It presents a constructivist perspective on how to arrange classroom events for student learning. Specific examples from a range of grade levels and subjects are offered. Classroom vignettes and questions are also provided. An introduction explains constructivist learning design (e.g., elements of the design, techniques for building community, and teacher learning circles). Six chapters present essential elements that show how theory is applied directly to classroom learning: (1) "Developing Situations"; (2) "Organizing Groupings"; (3) "Building Bridges"; (4) "Asking Questions"; (5) "Arranging Exhibits"; and (6) "Inviting Reflections." Chapter 7, "Productive Assessment: Not Just a Closing Activity," focuses on situation assessment, groupings assessment, bridge assessment, questions assessment, exhibit assessment, reflections assessment, and learning circle consideration. The concluding section focuses on teaching learning designs (e.g., dancing a design, choosing music for the dance, rehearsing the dance, dancing together, and inviting others to the dance). (Contains 75 references.) (SM)
The Elements Of Statistical Learning
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Author : Trevor Hastie
language : en
Publisher:
Release Date : 2009
The Elements Of Statistical Learning written by Trevor Hastie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Biology categories.
How Learning Works
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Author : Susan A. Ambrose
language : en
Publisher: John Wiley & Sons
Release Date : 2010-04-16
How Learning Works written by Susan A. Ambrose and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-16 with Education categories.
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
Deep Learning
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Author : Michael Fullan
language : en
Publisher: Corwin Press
Release Date : 2017-11-06
Deep Learning written by Michael Fullan and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-06 with Education categories.
Engage the World Change the World Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. Deep Learning is a global partnership that works to: transform the role of teachers to that of activators who design experiences that build global competencies using real-life problem solving; and supports schools, districts, and systems to shift practice and how to measure learning in authentic ways. This comprehensive strategy incorporates practical tools and processes to engage students, educators, and families in new partnerships and drive deep learning. Inside you’ll find: The Deep Learning Framework Vignettes and case studies from K-12 classrooms in 1,200 schools in seven countries Guidance for reaching disadvantaged and differently abled students Sample protocols and rubrics for assessment Videos demonstrating deep learning design and innovative leadership in practice Through learning partnerships, learning environments, new pedagogical practices, and leveraged digital skills, deep learning reaches students as never before — preparing them to be active, engaged participants in their future.