What do the spending cuts and limited resources do to the lives of city residents? In Broke, Jodie Adams Kirshner follows seven Detroiters as they navigate life during and after their city's bankruptcy. Reggie loses his savings trying to make a habitable home for his family. Cindy fights drug use, prostitution, and dumping on her block. Lola commutes two hours a day to her suburban job. For them, financial issues are mired within the larger ramifications of poor urban policies, restorative negligence on the state and federal level and—even before the decision to declare Detroit bankrupt in 2013—the root causes of a city’s fiscal demise.Like Matthew Desmond’s Evicted, Broke looks at what municipal distress means, not just on paper but in practical—and personal—terms. More than 40 percent of Detroit’s 700,000 residents fall below the poverty line. Post-bankruptcy, they struggle with a broken real estate market, school system, and job market—and their lives have not improved.Detroit is emblematic. Kirshner makes a powerful argument that cities—the economic engine of America—are never quite given the aid that they need by either the state or federal government for their residents to survive, not to mention flourish. Success for all America’s citizens depends on equity of opportunity.

    Offering an opportunity to rethink the "norm," this important volume pays particular attention to how race, class, and gender informed their experiences.Revealing the complex dynamics between immigration and Americanization, this engaging volume:Shows how the culture of middle-class whiteness at a public high school in Wisconsin excluded and alienated Hmong American students, and how these students responded. Focuses on the ways the academic and social experience at school, including peer relationships, extracurricular participation, relationships with teachers, and academic achievement influenced identity construction. Makes connections between the experiences of one ethnic group of immigrant youth and the broader issues of race in the United States, showing how schools can better serve immigrant students of color.

    Not what was fashionable, not what political and educational vested interests wanted to champion, but what actually produced the best results in terms of improving learning and educational outcomes. It became an instant bestseller and was described by the TES as revealing education's 'holy grail'.Now in this latest book, John Hattie has joined forces with cognitive psychologist Greg Yates to build on the original data and legacy of the Visible Learning project, showing how it's underlying ideas and the cutting edge of cognitive science can form a powerful and complimentary framework for shaping learning in the classroom and beyond.Visible Learning and the Science of How We Learn explains the major principles and strategies of learning, outlining why it can be so hard sometimes, and yet easy on other occasions. Aimed at teachers and students, it is written in an accessible and engaging style and can be read cover to cover, or used on a chapter-by-chapter basis for essay writing or staff development.The book is structured in three parts - 'learning within classrooms', 'learning foundations', which explains the cognitive building blocks of knowledge acquisition and 'know thyself' which explores, confidence and self-knowledge. It also features extensive interactive appendices containing study guide questions to encourage critical thinking, annotated bibliographic entries with recommendations for further reading, links to relevant websites and YouTube clips. Throughout, the authors draw upon the latest international research into how the learning process works and how to maximise impact on students, covering such topics as:teacher personality;expertise and teacher-student relationships;how knowledge is stored and the impact of cognitive load;thinking fast and thinking slow;the psychology of self-control;the role of conversation at school and at home;invisible gorillas and the IKEA effect;digital native theory;myths and fallacies about how people learn. This fascinating book is aimed at any student, teacher or parent requiring an up-to-date commentary on how research into human learning processes can inform our teaching and what goes on in our schools. It takes a broad sweep through findings stemming mainly from social and cognitive psychology and presents them in a useable format for students and teachers at all levels, from preschool to tertiary training institutes.

    The idea of “the heterosexual” was unprecedented. After all, men and women had been having sex, marrying, building families, and sometimes even falling in love for millennia without having any special name for their emotions or acts. Yet, within half a century, “heterosexual” had become a byword for “normal,” enshrined in law, medicine, psychiatry, and the media as a new gold standard for human experience. With an eclectic scope and fascinating detail, Straight tells the eye-opening story of a complex and often contradictory man-made creation that turns out to be anything but straight or narrow.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.