Author: Kate Adler
Publisher:
ISBN: 9781634000512
Category : Language Arts & Disciplines
Languages : en
Pages : 315
Book Description
"Explores the praxis, history and practice of reference librarianship in the context of social justice"--
Reference Librarianship & Justice
Author: Kate Adler
Publisher:
ISBN: 9781634000512
Category : Language Arts & Disciplines
Languages : en
Pages : 315
Book Description
"Explores the praxis, history and practice of reference librarianship in the context of social justice"--
Publisher:
ISBN: 9781634000512
Category : Language Arts & Disciplines
Languages : en
Pages : 315
Book Description
"Explores the praxis, history and practice of reference librarianship in the context of social justice"--
The World Book Encyclopedia
Author:
Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 554
Book Description
An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.
Publisher:
ISBN:
Category : Encyclopedias and dictionaries
Languages : en
Pages : 554
Book Description
An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.
Making Sense of Business Reference
Author: Celia Ross
Publisher: American Library Association
ISBN: 0838919421
Category : Language Arts & Disciplines
Languages : en
Pages : 277
Book Description
This is the guide to keep at your side when serving business students, job-seekers, investors, or entrepreneurs in your library.
Publisher: American Library Association
ISBN: 0838919421
Category : Language Arts & Disciplines
Languages : en
Pages : 277
Book Description
This is the guide to keep at your side when serving business students, job-seekers, investors, or entrepreneurs in your library.
Publication Manual of the American Psychological Association
Author: American Psychological Association
Publisher: American Psychological Association (APA)
ISBN: 9781433832178
Category : Language Arts & Disciplines
Languages : en
Pages : 428
Book Description
The Publication Manual of the American Psychological Association is the style manual of choice for writers, editors, students, and educators in the social and behavioral sciences, nursing, education, business, and related disciplines.
Publisher: American Psychological Association (APA)
ISBN: 9781433832178
Category : Language Arts & Disciplines
Languages : en
Pages : 428
Book Description
The Publication Manual of the American Psychological Association is the style manual of choice for writers, editors, students, and educators in the social and behavioral sciences, nursing, education, business, and related disciplines.
Academic Librarianship Today
Author: Todd Gilman
Publisher: Rowman & Littlefield
ISBN: 1442278765
Category : Language Arts & Disciplines
Languages : en
Pages : 263
Book Description
Intended for use by both librarians and students in LIS programs, Academic Librarianship Today is the most current, comprehensive overview of the field available today. Key features include: Each chapter was commissioned specifically for this new book, and the authors are highly regarded academic librarians or library school faculty— or both Cutting-edge topics such as open access, copyright, digital curation and preservation, emerging technologies, new roles for academic librarians, cooperative collection development and resource sharing, and patron-driven acquisitions are explored in depth Each chapter ends with thought-provoking questions for discussion and carefully constructed assignments that faculty can assign or adapt for their courses The book begins with Gilman’s introduction, an overview that briefly synthesizes the contents of the contributors’ chapters by highlighting major themes. The main part of the book is organized into three parts: The Academic Library Landscape Today, Academic Librarians and Services Today, and Changing Priorities, New Directions.
Publisher: Rowman & Littlefield
ISBN: 1442278765
Category : Language Arts & Disciplines
Languages : en
Pages : 263
Book Description
Intended for use by both librarians and students in LIS programs, Academic Librarianship Today is the most current, comprehensive overview of the field available today. Key features include: Each chapter was commissioned specifically for this new book, and the authors are highly regarded academic librarians or library school faculty— or both Cutting-edge topics such as open access, copyright, digital curation and preservation, emerging technologies, new roles for academic librarians, cooperative collection development and resource sharing, and patron-driven acquisitions are explored in depth Each chapter ends with thought-provoking questions for discussion and carefully constructed assignments that faculty can assign or adapt for their courses The book begins with Gilman’s introduction, an overview that briefly synthesizes the contents of the contributors’ chapters by highlighting major themes. The main part of the book is organized into three parts: The Academic Library Landscape Today, Academic Librarians and Services Today, and Changing Priorities, New Directions.
How Learning Works
Author: Susan A. Ambrose
Publisher: John Wiley & Sons
ISBN: 0470617608
Category : Education
Languages : en
Pages : 336
Book Description
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
Publisher: John Wiley & Sons
ISBN: 0470617608
Category : Education
Languages : en
Pages : 336
Book Description
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
Encyclopedia of the Sciences of Learning
Author: Norbert M. Seel
Publisher: Springer Science & Business Media
ISBN: 1441914277
Category : Education
Languages : en
Pages : 3643
Book Description
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.
Publisher: Springer Science & Business Media
ISBN: 1441914277
Category : Education
Languages : en
Pages : 3643
Book Description
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.
Deep Learning
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Finding the Answers to Legal Questions
Author: Virginia M. Tucker
Publisher: American Library Association
ISBN: 083891702X
Category : Language Arts & Disciplines
Languages : en
Pages : 260
Book Description
This book will help librarians connect users to the most accurate, up-to-date legal information.
Publisher: American Library Association
ISBN: 083891702X
Category : Language Arts & Disciplines
Languages : en
Pages : 260
Book Description
This book will help librarians connect users to the most accurate, up-to-date legal information.
Cite Them Right
Author: Richard Pears
Publisher: Palgrave Macmillan
ISBN: 9780230272316
Category : Education
Languages : en
Pages : 112
Book Description
This book is renowned as the most comprehensive yet easy-to-use guide to referencing available. Tutors rely on the advice to guide their students in the skills of identifying and referencing information sources and avoiding plagiarism. This new edition has new and expanded content, especially in relation to latest electronic sources.
Publisher: Palgrave Macmillan
ISBN: 9780230272316
Category : Education
Languages : en
Pages : 112
Book Description
This book is renowned as the most comprehensive yet easy-to-use guide to referencing available. Tutors rely on the advice to guide their students in the skills of identifying and referencing information sources and avoiding plagiarism. This new edition has new and expanded content, especially in relation to latest electronic sources.