In this book, author Doug Lemov offers the essential tools of the teaching craft so that you can unlock the talent ond skill waiting in your students, no matter how many previous classrooms, schools, or teachers have been unsuccessful.

    While the previous model focused on teacher outcomes, the new version places focus on student outcomes, with strategies teachers can use to help students grasp the information and skills transferred through their instruction. Throughout the book, Marzano details the elements of three overarching categories of teaching, which define what must happen to optimize student learning: students must receive feedback, get meaningful content instruction, and have their basic psychological needs met.BenefitsExplore instructional strategies that correspond to each of the 43 elements of The New Art and Science of Teaching, which have been carefully designed to maximize student engagement and achievement. Gain ten design questions and a general framework that will help determine which classroom strategies you should use to foster student learning. Analyze the behavioral evidence that proves the strategies of an element are helping learners reach their peak academic success. Study the state of the modern standards movement and what changes must be made in K 12 education to ensure high levels of learning for all. Download free reproducible scales specific to the elements in The New Art and Science of Teaching. ContentsChapter 1: Providing and Communicating Clear Learning GoalsChapter 2: Conducting AssessmentChapter 3: Conducting Direct Instruction LessonsChapter 4: Practicing and Deepening LessonsChapter 5: Implementing Knowledge Application LessonsChapter 6: Using Strategies That Appear in All Types of LessonsChapter 7: Using Engagement StrategiesChapter 8: Implementing Rules and ProceduresChapter 9: Building RelationshipsChapter 10: Communicating High ExpectationsChapter 11: Making System Changes"

    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    And most are finding that the answer is “yes.” If they want their students to learn complex new concepts in different disciplines, they often have to help their students become better readers.Building on the experiences gained in her own language arts classroom as well as those of colleagues in different disciplines, Cris Tovani, author of I Read It, but I Don't Get It, takes on the challenge of helping students apply reading comprehension strategies in any subject. In Do I Really Have to Teach Reading?, Cris shows how teachers can expand on their content expertise to provide instruction students need to understand specific technical and narrative texts. The book includes:examples of how teachers can model their reading process for students;ideas for supplementing and enhancing the use of required textbooks;detailed descriptions of specific strategies taught in context;stories from different high school classrooms to show how reading instruction varies according to content;samples of student work, including both struggling readers and college-bound seniors;a variety of “comprehension constructors”: guides designed to help students recognize and capture their thinking in writing while reading;guidance on assessing students;tips for balancing content and reading instruction.Cris's humor, honesty, and willingness to share her own struggles as a teacher make this a unique take on content reading instruction that will be valuable to reading teachers as well as content specialists.

    The Landscape of History provides a searching look at the historian's craft, as well as a strong argument for why a historical consciousness should matter to us today.Gaddis points out that while the historical method is more sophisticated than most historians realize, it doesn't require unintelligible prose to explain. Like cartographers mapping landscapes, historians represent what they can never replicate. In doing so, they combine the techniques of artists, geologists, paleontologists, and evolutionary biologists. Their approaches parallel, in intriguing ways, the new sciences of chaos, complexity, and criticality. They don't much resemble what happens in the social sciences, where the pursuit of independent variables functioning with static systems seems increasingly divorced from the world as we know it. So who's really being scientific and who isn't? This question too is one Gaddis explores, in ways that are certain to spark interdisciplinary controversy.Written in the tradition of Marc Bloch and E.H. Carr, The Landscape of History is at once an engaging introduction to the historical method for beginners, a powerful reaffirmation of it for practitioners, a startling challenge to social scientists, and an effective skewering of post-modernist claims that we can't know anything at all about the past. It will be essential reading for anyone who reads, writes, teaches, or cares about history.

    In fact, it's not even what they do, but how they do it--Katia Roberto and Jessamyn West, in the Preface. This compilation of witty, insightful, and readable writings on the various aspects of alternative librarianship edited by two outspoken library professionals is a sequel to Revolting Librarians, which was published in 1972. The contributors, including Alison Bechdel, Sanford Berman, and Utne Reader librarian Chris Dodge, cover topics that range from library education and librarianship as a profession to the more political and spiritual aspects of librarianship. The contributions include critiques of library and information science programs, firsthand accounts of work experiences, and original fiction, poetry and art. Ten of the original librarians who wrote essays for Revolting Librarians back in 1972 reflect upon what they wrote thirty years ago and the turns that their lives and careers have taken since.

    The text examines the basics of analog image analysis while placing greater emphasis on digitally based systems and analysis techniques. The presentation is discipline neutral, so students in any field of study can gain a clear understanding of these systems and their virtually unlimited applications.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    It Combines Comprehensive Medical Content With Dynamic New Features And Interactive Technology To Better Support Instructors And To Help Prepare Students For The Field. An Interactive Skills DVD Is Also Packaged Free With Each Copy Of The Text.

    You d be up to your neck in normal forms before you even had a chance to wade. When Michael J. Hernandez needed a database design book to teach mere mortals like himself, there were none. So he began a personal quest to learn enough to write one. And he did.Now in its Second Edition, Database Design for Mere Mortals is a miracle for today s generation of database users who don t have the background -- or the time -- to learn database design the hard way. It s also a secret pleasure for working pros who are occasionally still trying to figure out what they were taught.Drawing on 13 years of database teaching experience, Hernandez has organized database design into several key principles that are surprisingly easy to understand and remember. He illuminates those principles using examples that are generic enough to help you with virtually any application.Hernandez s goals are simple. You ll learn how to create a sound database structure as easily as possible. You ll learn how to optimize your structure for efficiency and data integrity. You ll learn how to avoid problems like missing, incorrect, mismatched, or inaccurate data. You ll learn how to relate tables together to make it possible to get whatever answers you need in the future -- even if you haven t thought of the questions yet.If -- as is often the case -- you already have a database, Hernandez explains how to analyze it -- and leverage it. You ll learn how to identify new information requirements, determine new business rules that need to be applied, and apply them.Hernandez starts with an introduction to databases, relational databases, and the idea and objectives of database design. Next, you ll walk through the key elements of the database design process: establishing table structures and relationships, assigning primary keys, setting field specifications, and setting up views. Hernandez s extensive coverage of data integrity includes a full chapter on establishing business rules and using validation tables.Hernandez surveys bad design techniques in a chapter on what not to do -- and finally, helps you identify those rare instances when it makes sense to bend or even break the conventional rules of database design.There s plenty that s new in this edition. Hernandez has gone over his text and illustrations with a fine-tooth comb to improve their already impressive clarity. You ll find updates to reflect new advances in technology, including web database applications. There are expanded and improved discussions of nulls and many-to-many relationships; multivalued fields; primary keys; and SQL data type fields. There s a new Quick Reference database design flowchart. A new glossary. New review questions at the end of every chapter.Finally, it s worth mentioning what this book isn t. It isn t a guide to any specific database platform -- so you can use it whether you re running Access, SQL Server, or Oracle, MySQL or PostgreSQL. And it isn t an SQL guide. (If that s what you need, Michael J. Hernandez has also coauthored the superb SQL Queries for Mere Mortals). But if database design is what you need to learn, this book s worth its weight in gold. Bill CamardaBill Camarda is a consultant, writer, and web/multimedia content developer. His 15 books include Special Edition Using Word 2000 and Upgrading & Fixing Networks for Dummies, Second Edition.

    Fully updated and now in two colour, the text is accessible and well structured with numerous real life examples and student learning aids. The text is also accompanied by a fully comprehensive companion web site.

    Like its bigger, bestselling predecessors, Backpack Literature features the authors' collective poetic voice which brings personal warmth and a human perspective to the discussion of literature, adding to students' interest in the readings.

    A new capstone chapter on personality disorders synthesizes these domains/paradigms. The Fourth Edition adds a new chapter on cognition and the self, new coverage of the Big Five personality traits and of personality in a developmental context, and a new Student Website to enable effective study and review.

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    Incorporating OD ethics and values into each chapter, Donald L. Anderson provides discussion of the real-world application of these theoretical ideas. In-depth case studies that follow major content chapters allow students to immediately apply what they have learned. In today's challenging environment of increased globalization, rapidly changing technologies, economic pressures, and expectations in the contemporary workforce, this book is an essential tool.