A bachelor’s degree is now required for entry into a growing number of professions. And some parents begin planning for the expense of sending their kids to college when they’re born. Almost everyone strives to go, but almost no one asks the fundamental question posed by Academically Adrift: are undergraduates really learning anything once they get there?For a large proportion of students, Richard Arum and Josipa Roksa’s answer to that question is a definitive no. Their extensive research draws on survey responses, transcript data, and, for the first time, the state-of-the-art Collegiate Learning Assessment, a standardized test administered to students in their first semester and then again at the end of their second year. According to their analysis of more than 2,300 undergraduates at twenty-four institutions, 45 percent of these students demonstrate no significant improvement in a range of skills—including critical thinking, complex reasoning, and writing—during their first two years of college. As troubling as their findings are, Arum and Roksa argue that for many faculty and administrators they will come as no surprise—instead, they are the expected result of a student body distracted by socializing or working and an institutional culture that puts undergraduate learning close to the bottom of the priority list.Academically Adrift holds sobering lessons for students, faculty, administrators, policy makers, and parents—all of whom are implicated in promoting or at least ignoring contemporary campus culture. Higher education faces crises on a number of fronts, but Arum and Roksa’s report that colleges are failing at their most basic mission will demand the attention of us all.

    The book covers habituation, classical conditioning, instrumental conditioning, stimulus control, aversive control, and their applications to the study of cognition and to the alleviation of behavior problems. Biological constraints on learning are integrated throughout the text, as are applications boxes that relate animal research to human learning and behavior. The book closely reflects the field of research it represents in terms of topics covered, theories discussed, and experimental paradigms described.

    The first chapter outlines the theoretical foundations for IPA. It discusses phenomenology, hermeneutics, and idiography and how they have been taken up by IPA. The next four chapters provide detailed, step by step guidelines to conducting IPA research: study design, data collection and interviewing, data analysis, and writing up. In the next section, the authors give extended worked examples from their own studies in health, sexuality, psychological distress, and identity to illustrate the breadth and depth of IPA research. The final section of the book considers how IPA connects with other contemporary qualitative approaches like discourse and narrative analysis and how it addresses issues to do with validity.

     Using case examples of both good and bad student practice, the handbook takes students through each step of the dissertation process, from their initial research proposal to the final submission. The author uses clear illustrations of what students need to do - or not do - to reach their potential, helping them to avoid the most common pitfalls. This essential handbook covers: Producing focused and relevant research objectives Writing your literature review Citing your sources correctly Clearly explaining your use of research methods Writing up your findings Summarizing your work by linking your conclusions to your initial proposal Understanding marking schemes Aimed primarily at Master's students or students on short postgraduate courses in business, humanities and the social sciences, this book is also key reading for supervisors and undergraduates considering postgraduate study.

    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.

    The revised structure, separating out the introductory and more advanced material will make it easier to use the book on a variety of courses. This new edition now includes chapters on Interaction Design, Universal Access and Rich Interaction, as well as covering the latest developments in ubiquitous computing and Web technologies, making it the ideal text to provide a grounding in HCI theory and practice.

    The book demonstrates what sharply rising standards for literacy have meant to successive generations of Americans and how--as students, workers, parents, and citizens--they have responded to rapid changes in the meaning and methods of literacy learning in their society. Drawing on more than 80 life histories of Americans from all walks of life, the book addresses critical questions facing public education at the start of the twenty-first century.

    Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.

    Not to worry: This book is the one place you can turn to find quick, non-intimidating, excellent design help. In The Non-Designer's Design Book, 2nd Edition, best-selling author Robin Williams turns her attention to the basic principles of good design and typography. All you have to do is follow her clearly explained concepts, and you'll begin producing more sophisticated, professional, and interesting pages immediately. Humor-infused, jargon-free prose interspersed with design exercises, quizzes, illustrations, and dozens of examples make learning a snap—which is just what audiences have come to expect from this best-selling author.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    It is that firsthand knowledge of the concerns of students, the complexities of the disorders, and the real struggles of people with psychological disorders that makes Comer's text, Abnormal Psychology, so compelling. This Sixth Edition's new content and features, coupled with new study and teaching tools, all serve to keep the book's portrait of contemporary abnormal psychology as fresh and insightful as ever.

    Professor Geert Hofstede's 30 years of field research on cultural differences and the software of the mind helps us look at how we think - and how we fail to think - as members of groups. This newly revised and expanded edition is based on the latest data from Professor Hofstede ongoing field research, and provides detailed comparisons of cross-cultural differences among 70 nations. business, family, schools and political organizations. Professor Hofstede explains phenomena such as culture shock, ethnocentrism, stereotyping, differences in language and humor. Most importantly, he discusses the practical implications of the culture differences described in the book and how understanding these cultural differences can enable people from different cultures to work together more productively. parents. Melding powerful intellectual analysis and hard social, cultural, and organizational research, Hofstede gives a sobering picture of a world perilously lacking in self-knowledge - unaware of serious difference between the businesses, organizations, cultures, and nations that populate our planet despite the fact of globalization. But culture shock - whether between an individual and a new country, between organizations, between the sexes, or between opposing diplomats - can be turned to our advantage, Hofstede says-if we understand it. Cultures and Organizations helps to explain the differences in the way leaders and their followers think, offering practical solutions for those in business and politics to help solve conflict between different groups.

    With this hands-on guide, you'll learn how to write effective, idiomatic Python code by leveraging its best and possibly most neglected features. Author Luciano Ramalho takes you through Python's core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.This book covers:Python data model: understand how special methods are the key to the consistent behavior of objectsData structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode ageFunctions as objects: view Python functions as first-class objects, and understand how this affects popular design patternsObject-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritanceControl flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packagesMetaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work"

    It discusses neuroanatomy, cell and molecular mechanisms and signaling through a cognitive approach to behaviour. It features an expanded treatment of the nervous system, neurological and psychiatric diseases and perception.

    Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.