This book defines what rubrics are, and how to construct and use them. It provides an introduction for those starting out to integrate rubrics in their teaching.

    Numerous examples throughout the book show students what should and should not be done when writing reviews.- Emphasizes critical analysis of reports of empirical research in academic journals--making it ideal as a supplement for research methods courses. This book makes it possible for students to work independently on a critical literature review as a term project.- Nine model literature reviews at the end of the book provide the stimulus for homework assignments and classroom discussions.- The activities at the end of each chapter keep students moving toward their goal of writing a polished, professional review of academic literature.- Most examples include material from recently published research. Includes nine model literature reviews for discussion and evaluation.Table of ContentsChapters1 Writing Reviews of Academic Literature: An Overview2 Considerations in Writing Reviews for Specific Purposes3 Selecting a Topic and Identifying Literature for Review4 General Guidelines for Analyzing Literature5 Analyzing Quantitative Research Literature6 Analyzing Qualitative Research Literature7 Building Tables to Summarize Literature8 Synthesizing Literature Prior to Writing a Review9 Guidelines for Writing a First Draft10 Guidelines for Developing a Coherent Essay11 Guidelines on Style, Mechanics, and Language Usage12 Incorporating Feedback and Refining the First Draft13 Preparing a Reference List14 Comprehensive Self-Editing Checklist for Refining the Final DraftModel Literature Reviews for Discussion and EvaluationReview A: Cyberbullying Among College StudentsJournal of School ViolenceReview B: Waterpipe Smoking Among College Students in the United StatesJournal of American College HealthReview C: The Effect of Student Discussion Frequency on Mathematics AchievementThe Journal of Experimental EducationReview D: Behaviors in Couples With a History of InfidelityJournal of Family PsychologyReview E: The Prevalence of Stalking Among College StudentsJournal of American College HealthReview F: School Social Workers' Experiences With Youth Suicidal BehaviorChildren & SchoolsReview G: Demographic and Academic Trends in Drinking Patterns and Alcohol-Related ProblemsJournal of Alcohol and Drug EducationReview H: Overnight Stays and Children's Relationships With Resident and Nonresident Parents After DivorceJournal of Family IssuesReview I: Language Brokering: An Integrative Review of the LiteratureHispanic Journal of Behavioral SciencesProfessor Reviews"Students have found Writing "Literature reviews one of the most helpful books.... Even students not in the course have gone to the bookstore looking for this book."-- Kathleen N. Bondy, University of Central Arkansas"Lucid, readable, and concise. Excellent detailed table of contents. Good full-length examples of literature reviews."-- Paul K. Dezendorf, East Carolina University"Excellent. A concise, 'task analytic' presentation of the complex steps necessary in writing literature reviews."-- Tom Cooke, Sonoma State University"Readable, concise, clear overview of the subject. My students rave about it. One said, 'I will keep this book for my whole master's [in nursing] program.'"-- Madge M. D

    Instead, today's schools promote the false "gods" of economic utility, consumerism, or ethnic separatism and resentment. What alternative strategies can we use to instill our children with a sense of global citizenship, healthy intellectual skepticism, respect of America's traditions, and appreciation of its diversity? In answering this question, The End of Education restores meaning and common sense to the arena in which they are most urgently needed."Informal and clear...Postman's ideas about education are appealingly fresh."--New York Times Book Review

    It will enable making a design for almost any kind of building, or any part of the built environment. ‘Patterns,’ the units of this language, are answers to design problems: how high should a window sill be?; how many stories should a building have?; how much space in a neighborhood should be devoted to grass and trees?More than 250 of the patterns in this language are outlined, each consisting of a problem statement, a discussion of the problem with an illustration, and a solution. As the authors say in their introduction, many of the patterns are archetypal, so deeply rooted in the nature of things that it seems likely that they will be a part of human nature and human action as much in five hundred years as they are today.A Pattern Language is related to Alexander’s other works in the Center for Environmental Structure series: The Timeless Way of Building (introductory volume) and The Oregon Experiment.

    For the first time, medical knowledge took on a precision that had formerly belonged only to mathematics. The body became something that could be mapped. Disease became subject to new rules of classification. And doctors begin to describe phenomena that for centuries had remained below the threshold of the visible and expressible.In The Birth of the Clinic the philosopher and intellectual historian who may be the true heir to Nietzsche charts this dramatic transformation of medical knowledge. As in his classic Madness and Civilization, Michel Foucault shows how much what we think of as pure science owes to social and cultural attitudes — in this case, to the climate of the French Revolution. Brilliant, provocative, and omnivorously learned, his book sheds new light on the origins of our current notions of health and sickness, life and death.

    This seemingly small phenomenon symbolizes a significant social change that Robert Putnam has identified in this brilliant volume, which The Economist hailed as "a prodigious achievement."Drawing on vast new data that reveal Americans' changing behavior, Putnam shows how we have become increasingly disconnected from one another and how social structures--whether they be PTA, church, or political parties--have disintegrated. Until the publication of this groundbreaking work, no one had so deftly diagnosed the harm that these broken bonds have wreaked on our physical and civic health, nor had anyone exalted their fundamental power in creating a society that is happy, healthy, and safe.Like defining works from the past, such as The Lonely Crowd and The Affluent Society, and like the works of C. Wright Mills and Betty Friedan, Putnam's Bowling Alone has identified a central crisis at the heart of our society and suggests what we can do.

    Cooper details many of these meta functions to explain his central thesis: programmers need to seriously re-evaluate the many user-hostile concepts deeply embedded within the software development process. Rather than provide users with a straightforward set of options, programmers often pile on the bells and whistles and ignore or de-prioritise lingering bugs. For the average user, increased functionality is a great burden, adding to the recurrent chorus that plays: "computers are hard, mysterious, unwieldy things." (An average user, Cooper asserts, who doesn't think that way or who has memorised all the esoteric commands and now lords it over others, has simply been desensitised by too many years of badly designed software.) Cooper's writing style is often overblown, with a pantheon of cutesy terminology (i.e. "dancing bearware") and insider back-patting. (When presenting software to Bill Gates, he reports that Gates replied: "How did you do that?" to which he writes: "I love stumping Bill!") More seriously, he is also unable to see beyond software development's importance--a sin he accuses programmers of throughout the book. Even with that in mind, the central questions Cooper asks are too important to ignore: Are we making users happier? Are we improving the process by which they get work done? Are we making their work hours more effective? Cooper looks to programmers, business managers and what he calls "interaction designers" to question current assumptions and mindsets. Plainly, he asserts that the goal of computer usage should be "not to make anyone feel stupid." Our distance from that goal reinforces the need to rethink entrenched priorities in software planning. -- Jennifer Buckendorff, Amazon.com

     They say you shouldn't ask your mom whether your business is a good idea, because she loves you and will lie to you. This is technically true, but it misses the point. You shouldn't ask anyone if your business is a good idea. It's a bad question and everyone will lie to you at least a little . As a matter of fact, it's not their responsibility to tell you the truth. It's your responsibility to find it and it's worth doing right .Talking to customers is one of the foundational skills of both Customer Development and Lean Startup. We all know we're supposed to do it, but nobody seems willing to admit that it's easy to screw up and hard to do right. This book is going to show you how customer conversations go wrong and how you can do better.

    While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns—or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

    Through their adventures, Ripley discovers startling truths about how attitudes, parenting, and rigorous teaching have revolutionized these countries’ education results.In The Smartest Kids in the World, Ripley’s astonishing new insights reveal that top-performing countries have achieved greatness only in the past several decades; that the kids who live there are learning to think for themselves, partly through failing early and often; and that persistence, hard work, and resilience matter more to our children’s life chances than self-esteem or sports.Ripley’s investigative work seamlessly weaves narrative and research, providing in-depth analysis and gripping details that will keep you turning the pages. Written in a clear and engaging style, The Smartest Kids in the World will enliven public as well as dinner table debates over what makes for brighter and better students.

    Why is it that they can remember the smallest details from their favorite television program, yet miss the most obvious questions on their history test?Cognitive scientist Dan Willingham has focused his acclaimed research on the biological and cognitive basis of learning and has a deep understanding of the daily challenges faced by classroom teachers. this book will help teachers improve their practice by explaining how they and their students think and learn—revealing the importance of story, emotion, memory, context, and routine in building knowledge and creating lasting learning experiences.In this breakthrough book, Willingham has distilled his knowledge of cognitive science into a set of nine principles that are easy to understand and have clear applications for the classroom. Some of examples of his surprising findings are:“Learning styles” don't exist The processes by which different children think and learn are more similar than different.Intelligence is malleable Intelligence contributes to school performance and children do differ, but intelligence can be increased through sustained hard work.You cannot develop “thinking skills” in the absence of facts We encourage students to think critically, not just memorize facts. However thinking skills depend on factual knowledge for their operation.Why Don't Students Like School is a basic primer for every teacher who wants to know how their brains and their students’ brains work and how that knowledge can help them hone their teaching skills.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought.Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.”Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

    This book will teach you how to structure and run effective customer interviews, find candidates, and turn learnings into action.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com