Since then, the ways we process written language have changed dramatically with many concerned about both their own changes and that of children. New research on the reading brain chronicles these changes in the brains of children and adults as they learn to read while immersed in a digitally dominated medium.Drawing deeply on this research, this book comprises a series of letters Wolf writes to us—her beloved readers—to describe her concerns and her hopes about what is happening to the reading brain as it unavoidably changes to adapt to digital mediums. Wolf raises difficult questions, including:Will children learn to incorporate the full range of "deep reading" processes that are at the core of the expert reading brain?Will the mix of a seemingly infinite set of distractions for children’s attention and their quick access to immediate, voluminous information alter their ability to think for themselves?With information at their fingertips, will the next generation learn to build their own storehouse of knowledge, which could impede the ability to make analogies and draw inferences from what they know?Will all these influences, in turn, change the formation in children and the use in adults of "slower" cognitive processes like critical thinking, personal reflection, imagination, and empathy that comprise deep reading and that influence both how we think and how we live our lives?Will the chain of digital influences ultimately influence the use of the critical analytical and empathic capacities necessary for a democratic society?How can we preserve deep reading processes in future iterations of the reading brain?Who are the "good readers" of every epoch?Concerns about attention span, critical reasoning, and over-reliance on technology are never just about children—Wolf herself has found that, though she is a reading expert, her ability to read deeply has been impacted as she has become, inevitably, increasingly dependent on screens.Wolf draws on neuroscience, literature, education, technology, and philosophy and blends historical, literary, and scientific facts with down-to-earth examples and warm anecdotes to illuminate complex ideas that culminate in a proposal for a biliterate reading brain. Provocative and intriguing, Reader, Come Home is a roadmap that provides a cautionary but hopeful perspective on the impact of technology on our brains and our most essential intellectual capacities—and what this could mean for our future.

    Veteran teacher, trainer, professor, consultant, and author Cathy Vatterott distills her years of experience with all kinds of schools into a balanced approach that ensures homework leads to more opportunities for learning and teaching without turning off parents and students. Explore a new paradigm that helps you understand: How to avoid the "homework trap."Why viewing homework as formative feedback is the most powerful way to transform homework policies and practices.How to differentiate homework assignments to your students.Which teacher behaviors and attitudes reinforce good homework practices.How to ensure students complete homework and get adequate time and support.

    And not just for kids who read well. They also work for kids who struggle in reading, who don't respond to abstract concepts. -Tanny McGregorInside, every kid wants to love reading-sometimes they need our help to see it.That's where Tanny McGregor's memorable, sensory-driven lessons come in.The chapters in this book, she writes, are a collection of ideas about how to launch genres, how to introduce your students to the personalities of each, and how to build a curiosity and appreciation for what each genre has to offer. Use the seed ideas suggested in this volume with a genre of your choice and see how it grows!Genre Connections makes learning achievable, accessible, and incremental for all readers-including struggling readers. Tanny's lessons use everyday objects, works of art, music, and her much-loved anchor charts to help readers get acquainted with seven commonly taught genres and to discover what makes them unique.Her launching sequences gradually release responsibility for learning about text types, and they can be adapted for any genre. They help readers weave creative, sensory threads into a tapestry of understanding by taking them from a fun introductory object lesson to an immersive experience.Looking for the perfect partner for Tanny's Comprehension Connections? Or for a new way to bring the inner reader out in any student? Let the ideas in Genre Connections inspire you to help your students get to know genres quickly, confidently, and effectively.

    In defiance of doomsayers, Johnson finds librarians more vital and necessary than ever, as they fuse the tools of the digital age with love for the written word and the enduring values of truth, service to all, and free speech. This Book Is Overdue! is a romp through the ranks of information professionals who organize our messy world and offer old-fashioned human help through the maze.

    So wrong that a chimpanzee choosing answers at random will consistently outguess teachers, journalists, Nobel laureates, and investment bankers.In Factfulness, Professor of International Health and global TED phenomenon Hans Rosling, together with his two long-time collaborators, Anna and Ola, offers a radical new explanation of why this happens. They reveal the ten instincts that distort our perspective—from our tendency to divide the world into two camps (usually some version of us and them) to the way we consume media (where fear rules) to how we perceive progress (believing that most things are getting worse).Our problem is that we don’t know what we don’t know, and even our guesses are informed by unconscious and predictable biases.It turns out that the world, for all its imperfections, is in a much better state than we might think. That doesn’t mean there aren’t real concerns. But when we worry about everything all the time instead of embracing a worldview based on facts, we can lose our ability to focus on the things that threaten us most.Inspiring and revelatory, filled with lively anecdotes and moving stories, Factfulness is an urgent and essential book that will change the way you see the world and empower you to respond to the crises and opportunities of the future.

    In this book—the only one on the market dealing with the specific issues involved in toilet training children with autism—Maria Wheeler offers a detailed roadmap for success, based on over twenty years of experience. Easy-to-read bulleted lists offer over 200 do’s and don’ts, along with more than fifty real-life examples. Learn, among other things, how to:gauge “readiness" overcome fear of the bathroom teach how to use toilet paper, flush and wash up and deal with toileting in unfamiliar environments. A life preserver for parents and reluctant children!Helpful chapters include:The Importance of Toilet Training Determining Readiness Developing a Toileting Routine Dressing for the Occasion Habit Training Teaching Continence Communicating the Need to Use the Toilet When Toilet Training is Successful Toileting in Unfamiliar Environments Nighttime Training Support Strategies Common Problems (and Solutions) Associated with Toilet Training Persons with Autism

    Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts.This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology.Master the fundamentals of star schema design and slow change processingIdentify situations that call for multiple stars or cubesEnsure compatibility across subject areas as your data warehouse growsAccommodate repeating attributes, recursive hierarchies, and poor data qualitySupport conflicting requirements for historic dataHandle variation within a business process and correlation of disparate activitiesBoost performance using derived schemas and aggregatesLearn when it's appropriate to adjust designs for BI and ETL tools

    A step-by-step visual journey through the mathematics of neural networks, and making your own using Python and Tensorflow.

    Led by a SQL Server expert, you’ll learn the concepts behind T-SQL querying and programming, and then apply your knowledge with exercises in each chapter. Once you understand the logic behind T-SQL, you’ll quickly learn how to write effective code—whether you’re a programmer or database administrator.Discover how to:Work with programming practices unique to T-SQLCreate database tables and define data integrityQuery multiple tables using joins and subqueriesSimplify code and improve maintainability with table expressionsImplement insert, update, delete, and merge data modification strategiesTackle advanced techniques such as window functions, pivoting and grouping setsControl data consistency using isolation levels, and mitigate deadlocks and blockingTake T-SQL to the next level with programmable objects

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    A rich design, replete with infographics and special features, guides you quickly from learning to teaching with:Jen's moves and language 9 videos of her teaching in K-8 classrooms 13 conference note-taking forms-one for each reading goal from the hierarchy in her Reading Strategies BookSuggestions for connecting emergent bilingual learners' language goals and reading goals. With Jen's support, you'll discover the true magic of conferring-the joyous, aha moments you'll see in growing readers.

    

    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition's presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman′s original research studies are profiled and accompanied with new examples from Salda�a′s recent qualitative work. The book′s most celebrated chapter, Drawing and Verifying Conclusions, is retained and revised, and the chapter on report writing has been greatly expanded, and is now called Writing About Qualitative Research. Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.

    While the transition to standards-based practices may be challenging, it is essential for effective instruction and assessment. In this practical guide, the author outlines specific steps your team can take to transform grading and reporting schoolwide. Each chapter includes examples of grading dilemmas, vignettes from teachers and administrators, and ideas for bringing parents on board with change.