Author: Diane Lapp
Publisher: Corwin Press
ISBN: 1483320359
Category : Education
Languages : en
Pages : 249
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Book Description
"How many times have you heard ‘a picture is worth a thousand words.’ . . . In this text, Lapp, Wolsey, Wood, and Johnson make a vital connection between reading words and the role of graphics. They demonstrate how teachers and students can blend the two such that great learning occurs in every classroom, every day." —DOUGLAS FISHER Coauthor of Rigorous Reading Imagine you are a fourth grader, reading about our solar system for the first time. Or you’re a high school student, asked to compare survival in Suzanne Collin’s The Hunger Games and Elie Wiesel’s Night. Reading complex texts of any kind is arduous, and now more than ever, students are being asked to do highly advanced thinking, talking, and writing around their reading. If only there were ingenious new power tools that could give students the space to tease apart complex ideas in order to comprehend and to weld their understandings into a new whole. Good news: such tools exist. In the two volumes, Mining Complex Texts, Grades 2-5 and 6-12, a formidable author team shares fresh ways to use the best digital and print graphic organizers in whole-class, small-group, and independent learning. Big believers of the gradual release method, the authors roll out dozens of examples of dynamic lessons and collaborative work across the content areas so that we see the process of using these visual tools to: Help students read, reread, and take notes on a text Promote students’ oral sharing of information and their ideas Elevate organized note-making from complex text(s) Scaffold students’ narrative and informational writing Move students to independent thinking as they learn to create their own organizing and note-taking systems Gone are the days of fill-‘em-in and forget-‘em graphic organizers. With these two volumes, teachers and professional development leaders have a unified vision of how to use these tools to meet the demands of an information-saturated world, one in which students need to be able to sift, sort, synthesize, and apply knowledge with alacrity and skill.
Author: Diane Lapp
Publisher: Corwin Press
ISBN: 1483320367
Category : Education
Languages : en
Pages : 266
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Book Description
"How many times have you heard ‘a picture is worth a thousand words.’ . . . In this text, Lapp, Wolsey, Wood, and Johnson make a vital connection between reading words and the role of graphics. They demonstrate how teachers and students can blend the two such that great learning occurs in every classroom, every day." —DOUGLAS FISHER Coauthor of Rigorous Reading Imagine you are a fourth grader, reading about our solar system for the first time. Or you’re a high school student, asked to compare survival in Suzanne Collin’s The Hunger Games and Elie Wiesel’s Night. Reading complex texts of any kind is arduous, and now more than ever, students are being asked to do highly advanced thinking, talking, and writing around their reading. If only there were ingenious new power tools that could give students the space to tease apart complex ideas in order to comprehend and to weld their understandings into a new whole. Good news: such tools exist. In the two volumes, Mining Complex Texts, Grades 2-5 and 6-12, a formidable author team shares fresh ways to use the best digital and print graphic organizers in whole-class, small-group, and independent learning. Big believers of the gradual release method, the authors roll out dozens of examples of dynamic lessons and collaborative work across the content areas so that we see the process of using these visual tools to: Help students read, reread, and take notes on a text Promote students’ oral sharing of information and their ideas Elevate organized note-making from complex text(s) Scaffold students’ narrative and informational writing Move students to independent thinking as they learn to create their own organizing and note-taking systems Gone are the days of fill-‘em-in and forget-‘em graphic organizers. With these two volumes, teachers and professional development leaders have a unified vision of how to use these tools to meet the demands of an information-saturated world, one in which students need to be able to sift, sort, synthesize, and apply knowledge with alacrity and skill.
Author: Leslie Blauman
Publisher: Corwin Press
ISBN: 1506324983
Category : Education
Languages : en
Pages : 281
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Book Description
Skill-building through potent instruction, day by day In these much-anticipated sequels to The Common Core Companion, Janiel Wagstaff and Leslie Blauman provide a collection of connected lessons and formative writing assessments that bring Monday-to-Friday clarity to the task of integrating reading and writing with ELA standards. In each volume, the 50+ lessons are divided into fi ve, week-long learning sequences addressing key literacygoals. A best-practice glossary, If/Then charts, unit-planning calendars, and other tools round out these essential references, both in book and online. Follow each sequence and week by week, you’ll build the instructional potency to help students achieve a year’s worth of growth as you integrate: Writing Narratives with Identifying Sensory Words in Text Research with Identifying Topic and Details Opinion Writing with Close Reading for Text Evidence Comparing and Contrasting with Publishing Using Digital Tools Informative Writing with Use of Text Features
Author: Douglas Fisher
Publisher: Corwin Press
ISBN: 1071901435
Category : Education
Languages : en
Pages : 305
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Book Description
Renowned educators Douglas Fisher, Nancy Frey, and Diane Lapp saw it was high time classroom teachers had an encyclopedia’s worth of practical, research-based ideas organized into concise modules. You will love the lively tone, the contemporary research findings, and the abundance of activities that help children become skilled readers. This resource goes deep, it goes wide—and yet most brilliantly, it reveals the crucial connections that make for high-impact instruction.
Author: Ted Kwartler
Publisher: John Wiley & Sons
ISBN: 1119282012
Category : Mathematics
Languages : en
Pages : 320
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Book Description
A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. Author Ted Kwartler clearly describes all of the tools needed to perform text mining and shows you how to use them to identify practical business applications to get your creative text mining efforts started right away. With the help of numerous real-world examples and case studies from industries ranging from healthcare to entertainment to telecommunications, he demonstrates how to execute an array of text mining processes and functions, including sentiment scoring, topic modelling, predictive modelling, extracting clickbait from headlines, and more. You’ll learn how to: Identify actionable social media posts to improve customer service Use text mining in HR to identify candidate perceptions of an organisation, match job descriptions with resumes, and more Extract priceless information from virtually all digital and print sources, including the news media, social media sites, PDFs, and even JPEG and GIF image files Make text mining an integral component of marketing in order to identify brand evangelists, impact customer propensity modelling, and much more Most companies’ data mining efforts focus almost exclusively on numerical and categorical data, while text remains a largely untapped resource. Especially in a global marketplace where being first to identify and respond to customer needs and expectations imparts an unbeatable competitive advantage, text represents a source of immense potential value. Unfortunately, there is no reliable, cost-effective technology for extracting analytical insights from the huge and ever-growing volume of text available online and other digital sources, as well as from paper documents—until now.
Author: Julia Silge
Publisher: "O'Reilly Media, Inc."
ISBN: 1491981628
Category : Computers
Languages : en
Pages : 193
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Book Description
Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.
Author: Jake Y. Chen
Publisher: CRC Press
ISBN: 1420086855
Category : Computers
Languages : en
Pages : 736
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Book Description
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin
Author: Sholom M. Weiss
Publisher: Springer Science & Business Media
ISBN: 0387345558
Category : Computers
Languages : en
Pages : 244
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Book Description
Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they? In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi?ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.
Author: Nagiza F. Samatova
Publisher: CRC Press
ISBN: 1439860858
Category : Business & Economics
Languages : en
Pages : 495
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Book Description
Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or cluste
Author: Gary Miner
Publisher: Academic Press
ISBN: 012386979X
Category : Computers
Languages : en
Pages : 1096
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Book Description
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities"--
