Download or read book Learning to Learn from Text written by A. Morris and published by . This book was released on 1984 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to teach effective strategies in reading for information and research.
Download or read book Learning to learn from text written by A. Morris and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Guided Reading written by Irene C. Fountas and published by F&p Professional Books and Mul. This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much has been written on the topic of guided reading over the last twenty years, but no other leaders in literacy education have championed the topic with such depth and breadth as Irene Fountas and Gay Su Pinnell. In the highly anticipated second edition of Guided Reading, Fountas and Pinnell remind you of guided reading's critical value within a comprehensive literacy system, and the reflective, responsive teaching required to realize its full potential. Now with Guided Reading, Second Edition, (re)discover the essential elements of guided reading through: a wider and more comprehensive look at its place within a coherent literacy system a refined and deeper understanding of its complexity an examination of the steps in implementation-from observing and assessing literacy behaviors, to grouping in a thoughtful and dynamic way, to analyzing texts, to teaching the lesson the teaching for systems of strategic actions a rich text base that can support and extend student learning the re-emerging role of shared reading as a way to lead guided and independent reading forward the development of managed independent learning across the grades an in-depth exploration of responsive teaching the role of facilitative language in supporting change over time in students' processing systems the identification of high-priority shifts in learning to focus on at each text level the creation of a learning environment within which literacy and language can flourish. Through guided reading, students learn how to engage in every facet of the reading process and apply their reading power to all literacy contexts. Also check out our new on-demand mini-course: Introducing Texts Effectively in Guided Reading Lessons
Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: • Why sometimes letting your mind wander is an important part of the learning process • How to avoid "rut think" in order to think outside the box • Why having a poor memory can be a good thing • The value of metaphors in developing understanding • A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
Download or read book Learning From Text Across Conceptual Domains written by Cynthia R. Hynd and published by Routledge. This book was released on 2013-12-16 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is an attempt to synthesize the understandings we have about reading to learn. Although learning at all ages is discussed in this volume, the main focus is on middle and high school classrooms--critical spaces of learning and thinking. The amount of knowledge presented in written form is increasing, and the information we get from texts is often conflicting. We are in a knowledge explosion that leaves us reeling and may effectively disenfranchise those who are not keeping up. There has never been a more crucial time for students to understand, learn from, and think critically about the information in various forms of text. Thus, understanding what it means to learn is vital for all educators. Learning from text is a complex matter that includes student factors (social, ethnic, and cultural differences, as well as varying motivations, self-perceptions, goals, and needs); instructional and teacher factors; and disciplinary and social factors. One important goal of the book is to encourage practicing teachers to learn to consider their students in new ways--to see them as being influenced by, and as influencing, not just the classroom but the total fabric of the disciplines they are learning. Equally important, it is intended to foster further research efforts--from local studies of classrooms by teachers to large-scale studies that produce generalizable understandings about learning from text. This volume--a result of the editor's and contributors' work with the National Reading Research Center--will be of interest to all researchers, graduate students, practicing teachers, and teachers in training who are interested in understanding the issues that are central to improving students' learning from text.
Download or read book The First 20 Hours written by Josh Kaufman and published by Penguin. This book was released on 2013-06-13 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forget the 10,000 hour rule— what if it’s possible to learn the basics of any new skill in 20 hours or less? Take a moment to consider how many things you want to learn to do. What’s on your list? What’s holding you back from getting started? Are you worried about the time and effort it takes to acquire new skills—time you don’t have and effort you can’t spare? Research suggests it takes 10,000 hours to develop a new skill. In this nonstop world when will you ever find that much time and energy? To make matters worse, the early hours of practicing something new are always the most frustrating. That’s why it’s difficult to learn how to speak a new language, play an instrument, hit a golf ball, or shoot great photos. It’s so much easier to watch TV or surf the web . . . In The First 20 Hours, Josh Kaufman offers a systematic approach to rapid skill acquisition— how to learn any new skill as quickly as possible. His method shows you how to deconstruct complex skills, maximize productive practice, and remove common learning barriers. By completing just 20 hours of focused, deliberate practice you’ll go from knowing absolutely nothing to performing noticeably well. Kaufman personally field-tested the methods in this book. You’ll have a front row seat as he develops a personal yoga practice, writes his own web-based computer programs, teaches himself to touch type on a nonstandard keyboard, explores the oldest and most complex board game in history, picks up the ukulele, and learns how to windsurf. Here are a few of the simple techniques he teaches: Define your target performance level: Figure out what your desired level of skill looks like, what you’re trying to achieve, and what you’ll be able to do when you’re done. The more specific, the better. Deconstruct the skill: Most of the things we think of as skills are actually bundles of smaller subskills. If you break down the subcomponents, it’s easier to figure out which ones are most important and practice those first. Eliminate barriers to practice: Removing common distractions and unnecessary effort makes it much easier to sit down and focus on deliberate practice. Create fast feedback loops: Getting accurate, real-time information about how well you’re performing during practice makes it much easier to improve. Whether you want to paint a portrait, launch a start-up, fly an airplane, or juggle flaming chainsaws, The First 20 Hours will help you pick up the basics of any skill in record time . . . and have more fun along the way.
Download or read book Supervised Machine Learning for Text Analysis in R written by Emil Hvitfeldt and published by CRC Press. This book was released on 2021-10-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.
Download or read book Learning to Learn written by Ruth Deakin Crick and published by Routledge. This book was released on 2014-04-28 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning to Learn provides a much needed overview and international guide to the field of learning to learn from a multidisciplinary lifelong and lifewide perspective. A wealth of research has been flourishing on this key educational goal in recent years. Internationally, it is considered to be one of the key competencies needed to compete in the global economy, but also a crucial factor for individual and social well-being. This book draws on leading international contributors to provide a cutting-edge overview of current thinking on learning to learn research, policy, and implementation in both formal and informal learning environments. But what learning to learn is exactly, and what its constituting elements are, are much debated issues. These seem to be the crucial questions if assessment and development of this 'malleable side of intelligence' are to be accomplished. The approach of this volume is to consider a broad conception of learning to learn, not confined to only study strategies or metacognition, yet acknowledging the importance of such elements. The book sets out to answer five main questions: What is learning to learn? What are its functions and how do we assess it? What does it promise to the individual and society at large? How is it conceived in national curricula internationally? How can it be developed in a variety of contexts? The text is organized into two parts: the first addresses the core question of the nature of learning to learn from a theoretical and policy viewpoint, and the second presents recent research carried out in several educational systems, with special attention to assessment and curriculum. It gives an account of pedagogical practices of learning to learn and its role in individual empowerment from childhood to adulthood. Contributors also highlight the potential use of learning to learn as an organizing concept for lifelong learning, school improvement, and teacher training along with potential conflicts with existing incentive practices and policies. This book is a vital starting point and guide for any advanced student or researcher looking to understand this important area of research.
Download or read book Text based Learning and Reasoning written by Charles A. Perfetti and published by Routledge. This book was released on 2012-12-06 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: History is both an academic discipline and a school subject. As a discipline, it fosters a systematic way of discovering and evaluating the events of the past. As a school subject, American history is a staple of middle grades and high school curricula in the United States. In higher education, it is part of the liberal arts education tradition. Its role in school learning provides a context for our approach to history as a topic of learning. In reading history, students engage in cognitive processes of learning, text processing, and reasoning. This volume touches on each of these cognitive problems -- centered on an in-depth study of college students' text learning and extended to broader issues of text understanding, the cognitive structures that enable learning of history, and reasoning about historical problems. Slated to occupy a distinctive place in the literature on human cognition, this volume combines at least three key features in a unique examination of the course of learning and reasoning in one academic domain -- history. The authors draw theory and analysis of text understanding from cognitive science; and focus on multiple "natural" texts of extended length rather than laboratory texts as well as multiple and extended realistic learning situations. The research demonstrates that history stories can be described by causal-temporal event models and that these models capture the learning achieved by students. This text establishes that history learning includes learning a story, but does not assume that story learning is all there is in history. It shows a growth in students' reasoning about the story and a linkage -- developed over time and with study -- between learning and reasoning. It then illustrates that students can be exceedingly malleable in their opinions about controversial questions -- and generally quite influenced by the texts they read. And it presents patterns of learning and reasoning within and between individuals as well as within the group of students as a whole. By examining students' ability to use historical documents, this volume goes beyond story learning into the problem of document-based reasoning. The authors show not just that history is a story from the learner's point of view, but also that students can develop a certain expertise in the use of documents in reasoning.
Download or read book Make It Stick written by Peter C. Brown and published by Harvard University Press. This book was released on 2014-04-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: To most of us, learning something "the hard way" implies wasted time and effort. Good teaching, we believe, should be creatively tailored to the different learning styles of students and should use strategies that make learning easier. Make It Stick turns fashionable ideas like these on their head. Drawing on recent discoveries in cognitive psychology and other disciplines, the authors offer concrete techniques for becoming more productive learners. Memory plays a central role in our ability to carry out complex cognitive tasks, such as applying knowledge to problems never before encountered and drawing inferences from facts already known. New insights into how memory is encoded, consolidated, and later retrieved have led to a better understanding of how we learn. Grappling with the impediments that make learning challenging leads both to more complex mastery and better retention of what was learned. Many common study habits and practice routines turn out to be counterproductive. Underlining and highlighting, rereading, cramming, and single-minded repetition of new skills create the illusion of mastery, but gains fade quickly. More complex and durable learning come from self-testing, introducing certain difficulties in practice, waiting to re-study new material until a little forgetting has set in, and interleaving the practice of one skill or topic with another. Speaking most urgently to students, teachers, trainers, and athletes, Make It Stick will appeal to all those interested in the challenge of lifelong learning and self-improvement.
Download or read book Machine Learning for Text written by Charu C. Aggarwal and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories: 1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant focus is placed on topics like transformers, pre-trained language models, knowledge graphs, and question answering.
Download or read book Learning to write and Writing to learn in an Additional Language written by Rosa Manchón and published by John Benjamins Publishing. This book was released on 2011 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridges the gap between the fields of second language acquisition (SLA) and second and foreign language (L2) writing. This title intends to advance our understanding of written language learning by collecting theoretical meta-reflections and empirical studies that shed light on two crucial dimensions of the theory and research in the field
Download or read book Teaching Through Text written by Michael C. McKenna and published by Allyn & Bacon. This book was released on 2005 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rave Reviews for the Fourth Edition of "Teaching Through Text": "The major strengths of this text are its elegant conceptual frame (first the global lesson planning frameworks and then the before-during-after reading strategies) and its conscious use of connections to technology." "Sharon Walpole, University of Delaware" "Due to the extra care the authors took to make "Teaching Through Text" a 'real-life example' of a reader-friendly textbook, the text itself becomes a more accessible, and therefore more rewarding text from which to learn about content area literacy instruction." "Laura Jones, Nazareth College of Rochester" "It is an easy text to read and use. Summaries are brief and provide a nice closure to the chapters. Content information is easily located and dissected for class discussion and presentation." "Isaac Willis Larison, Xavier University" About the Fourth Edition: Bringing all the research up-to-date, this Fourth Edition of "Teaching Through Text" provides a broad range of techniques to enhance students' literacy development and learning across the curriculum. Authored by two of the most respected literacy researchers, this text focuses on describing, illustrating, and applying both teacher-directed and student-centered strategies for content area literacy in middle and secondary grades. What's New on the Fourth Edition? Additional instructional techniques are presented, aligned with the Report of the National Reading Panel The treatment of diversity is more prominent and has been expanded to include the topic of culturally responsive teaching A detailed section on content area read-alouds has been added New, research-based ideas for motivating students to read are presented The topic of reciprocal teaching has been given major status Other Allyn & Bacon Titles by Michael McKenna and Richard Robinson: "Issues and Trends in Literacy Education: 3/e" (c) 2004 ISBN: 0205361102 "Readings in Reading Instruction: Its History, Theory, and Development: 1/e" (c) 2005 ISBN: 0205410588 by Richard Robinson
Download or read book How People Learn written by National Research Council and published by National Academies Press. This book was released on 2000-08-11 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.
Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Writing to Learn written by William Zinsser and published by Harper Collins. This book was released on 2013-04-30 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an essential book for everyone who wants to write clearly about any subject and use writing as a means of learning.
Download or read book Polyglot How I Learn Languages written by Kat— Lomb and published by Lulu.com. This book was released on 2008-01-01 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: KAT LOMB (1909-2003) was one of the great polyglots of the 20th century. A translator and one of the first simultaneous interpreters in the world, Lomb worked in 16 languages for state and business concerns in her native Hungary. She achieved further fame by writing books on languages, interpreting, and polyglots. Polyglot: How I Learn Languages, first published in 1970, is a collection of anecdotes and reflections on language learning. Because Dr. Lomb learned her languages as an adult, after getting a PhD in chemistry, the methods she used will be of particular interest to adult learners who want to master a foreign language.
