She argues that the grading system most commonly in use now is unwieldy, imprecise and unnecessarily complex, involving too many rating levels for too many individual assignments and tests, and based on a hairsplitting point structure that obscures the underlying criteria and encourages students to challenge their grades.This new specifications grading paradigm restructures assessments to streamline the grading process and greatly reduce grading time, empower students to choose the level of attainment they want to achieve, reduce antagonism between the evaluator and the evaluated, and increase student receptivity to meaningful feedback, thus facilitating the learning process - all while upholding rigor. In addition, specs grading increases students' motivation to do well by making expectations clear, lowering their stress and giving them agency in determining their course goals. Among the unique characteristics of the schema, all of which simplify faculty decision making, are the elimination of partial credit, the reliance on a one-level grading rubric and the -bundling- of assignments and tests around learning outcomes. Successfully completing more challenging bundles (or modules) earns a student a higher course grade. Specs grading works equally well in small and large class settings and encourages -authentic assessment.- Used consistently over time, it can restore credibility to grades by demonstrating and making transparent to all stakeholders the learning outcomes that students achieve.This book features many examples of courses that faculty have adapted to spec grading and lays out the surprisingly simple transition process. It is intended for all members of higher education who teach, whatever the discipline and regardless of rank, as well as those who oversee, train, and advise those who teach.Specification grading promotes the following values and outcomes. It: 1. Upholds High Academic Standards2. Reflects Student Attainment of Skills and Knowledge 3. Motivates Students to Learn and to Excel4. Fosters Higher-Order Cognitive Development and Creativity5. Discourages Cheating6. Reduces Student Stress7. Makes Students Feel Responsible for Their Grades8. Minimizes Conflict Between Faculty and Students9. Saves Faculty Time and Is Simple to Administer10. Makes Expectations Clear and Simplifies Feedback for Improvement11. Assesses Authentically12. Achieves High Inter-Rater Agreement

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    His rise from rookie math teacher to prominent teacher leader takes a twist when he takes on education reform through his now-blocked eponymous blog, TheJoseVilson.com. He calls for the reclaiming of the education profession while seeking social justice.José Vilson is a middle school math educator for in the Inwood/Washington Heights neighborhood of New York City. He writes for Edutopia, GOOD, and TransformED / Future of Teaching, and his work has appeared in Education Week, CNN.com, Huffington Post, and El Diario / La Prensa.

    Judy Willis responds with an emphatic yes in this informative guide to getting better results in math class. Tapping into abundant research on how the brain works, Willis presents a practical approach for how we can improve academic results by demonstrating certain behaviors and teaching students in a way that minimizes negativity.With a straightforward and accessible style, Willis shares the knowledge and experience she has gained through her dual careers as a math teacher and a neurologist. In addition to learning basic brain anatomy and function, readers will learn how to* Improve deep-seated negative attitudes toward math.* Plan lessons with the goal of achievable challenge in mind.* Reduce mistake anxiety with techniques such as errorless math and estimation.* Teach to different individual learning strengths and skill levels.* Spark motivation.* Relate math to students' personal interests and goals.* Support students in setting short-term and long-term goals.* Convince students that they can change their intelligence.With dozens of strategies teachers can use right now, Learning to Love Math puts the power of research directly into the hands of educators. A Brain Owner's Manual, which dives deeper into the structure and function of the brain, is also included--providing a clear explanation of how memories are formed and how skills are learned. With informed teachers guiding them, students will discover that they can build a better brain . . . and learn to love math!

    Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don't feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.You don't need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.

    A growing body of scholarship suggests potential benefits of these activities, including opportunities for peer-to-peer learning, development of skills useful in the modern workplace, and a more empowered conception of citizenship. Some argue that young people pick up these key skills and competencies on their own by interacting with popular culture; but the problems of unequal access, lack of media transparency, and the breakdown of traditional forms of socialization and professional training suggest a role for policy and pedagogical intervention.This report aims to shift the conversation about the digital divide from questions about access to technology to questions about access to opportunities for involvement in participatory culture and how to provide all young people with the chance to develop the cultural competencies and social skills needed. Fostering these skills, the authors argue, requires a systemic approach to media education; schools, afterschool programs, and parents all have distinctive roles to play.The John D. and Catherine T. MacArthur Foundation Reports on Digital Media and Learning

    But all too often, these numbers are wrong. This book is a lively guide to spotting bad statistics and learning to think critically about these influential numbers. Damned Lies and Statistics is essential reading for everyone who reads or listens to the news, for students, and for anyone who relies on statistical information to understand social problems.Joel Best bases his discussion on a wide assortment of intriguing contemporary issues that have garnered much recent media attention, including abortion, cyberporn, homelessness, the Million Man March, teen suicide, the U.S. census, and much more. Using examples from the New York Times, the Washington Post, and other major newspapers and television programs, he unravels many fascinating examples of the use, misuse, and abuse of statistical information.In this book Best shows us exactly how and why bad statistics emerge, spread, and come to shape policy debates. He recommends specific ways to detect bad statistics, and shows how to think more critically about "stat wars," or disputes over social statistics among various experts. Understanding this book does not require sophisticated mathematical knowledge; Best discusses the most basic and most easily understood forms of statistics, such as percentages, averages, and rates.This accessible book provides an alternative to either naively accepting the statistics we hear or cynically assuming that all numbers are meaningless. It shows how anyone can become a more intelligent, critical, and empowered consumer of the statistics that inundate both the social sciences and our media-saturated lives.

    Authors Ruth Parker and Cathy Humphreys introduce  Making Number Talks Matter: Developing Mathematical Practices and Deepening Understanding, Grades 3-10 , taking the readers into classrooms where their Number Talks routines are taught.Parker and Humphreys apply their 15 minute lessons to inspire and initiate math talks. Through vignettes in the book, you'll meet other teachers learning how to listen closely to students and how to prompt them into figuring out solutions to problems. You will learn how to make on-the-spot decisions, continually advancing and deepening the conversation.  Making Number Talks Matter  includes:Sample Problems: Making Number Talks Matter is filled with a range of Number Talks problems, 10-15 minute warm-up routines that lend themselves to mental math and comparison of strategiesNavigating Rough Spots: Learn how to create a safe environment for tricky, problematic, or challenging student discussions that can arise when talking through problems and sharing ideasResponding to Mistakes: Ways to handle misconceptions and mathematical errors that come up during the course of Number Talk conversations Making Number Talks Matter  is filled with teaching tips for honoring student contributions while still correcting errors, and teaching concepts while nudging independent thinking. Through daily practice and open conversation, you can build a solid foundation for the study of mathematics and make Number Talks Matter.

    The authors review their earlier findings and then synthesize what has been learned since 1990 about college's influences on students' learning. The book also discusses the implications of the findings for research, practice, and public policy. This authoritative and comprehensive analysis of the literature on college-impact is required reading for anyone interested in higher education practice, policy, and promise3/4faculty, administrators, researchers, policy analysts, and decision-makers at every level.

    Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one on nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.

    Together the three authors have thoroughly updated Inside Out with the latest information on technology, a substantial reference section on resources, and loads of new examples.

    This book provides professors and their graduate teaching assistants--those at the front line of interactions with students--with techniques and approaches they can use in class to help at-risk students raise their skills so that they can successfully complete their studies.

    

    Nothing works until Mouse starts thinking mathematically. Wonderful illustrations capture Mouse and her animal friends from whiskers to tails.

    It shows you how to deal with the parent who is bossy, volatile, argumentative, aggressive, or maybe the worst - apathetic. It provides specific phrases to use with parents to help you avoid using "trigger" words which unintentionally make matters worse. It will show you how to deliver bad news to good parents, how to build positive credibility to all types of parents, and how to foster the kind of parent involvement which leads to student success.