Unfortunately, change is extraordinarily difficult, and most attempts to initiate and sustain it fail. In It Starts with One, J. Stewart Black and Hal B Gregersen identify the core problem: changing individuals and the "mental maps" inside their heads must happen before you can change the organization. Just as actual maps guide people's footsteps, mental maps guide daily behavior. Successful strategic change for the organization is all about changing individual mental maps and behaviors first, because they are the organization.To change organizations, you must break through your own brain barrier -- and help those around you do the same. One step at a time, It Starts with One shows how to do that: how to create new destinations, and new, more inspiring effective paths to sustainable change. Black and Gregersen systematically identify the brain barriers that stand in your way: failure to see, failure to move, and failure to finish. Drawing on their extensive experience consulting with world-class organizations, they offer integrated tools, strategies, and solutions for overcoming each of these obstacles. This edition offers even more effective tools, more guidance on leading change in globalizing environments, and more insight into changing your own mental maps...liberating yourself to transform your entire organization.Seventy percent of organizations that seek strategic change fail. Organizations can't change because individuals don't change. Individuals don't change because powerful mental maps stand in their way. This book offers a powerful, start-to-finish strategy for helping people redraw their mental maps -- and unleash their power to deliver superior, sustained strategic change. Thoroughly updated with new techniques, case studies, and examples, this book offers even more valuable insights for today's leaders and managers.

    Many of us are also teaching, even when it's not in our job descriptions. Whether it's giving a presentation, writing documentation, or creating a website or blog, we need and want to share our knowledge with other people. But if you've ever fallen asleep over a boring textbook, or fast-forwarded through a tedious e-learning exercise, you know that creating a great learning experience is harder than it seems.In Design For How People Learn, you'll discover how to use the key principles behind learning, memory, and attention to create materials that enable your audience to both gain and retain the knowledge and skills you're sharing. Using accessible visual metaphors and concrete methods and examples, Design For How People Learn will teach you how to leverage the fundamental concepts of instructional design both to improve your own learning and to engage your audience.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

    They are converted to metric units using realistic data to help students grasp what is feasible in engineering practice.

    And yet we have sacrificed conversation for mere connection. Preeminent author and researcher Sherry Turkle has been studying digital culture for over thirty years. Long an enthusiast for its possibilities, here she investigates a troubling consequence: at work, at home, in politics, and in love, we find ways around conversation, tempted by the possibilities of a text or an email in which we don’t have to look, listen, or reveal ourselves. We develop a taste for what mere connection offers. The dinner table falls silent as children compete with phones for their parents’ attention. Friends learn strategies to keep conversations going when only a few people are looking up from their phones. At work, we retreat to our screens although it is conversation at the water cooler that increases not only productivity but commitment to work. Online, we only want to share opinions that our followers will agree with – a politics that shies away from the real conflicts and solutions of the public square. The case for conversation begins with the necessary conversations of solitude and self-reflection. They are endangered: these days, always connected, we see loneliness as a problem that technology should solve. Afraid of being alone, we rely on other people to give us a sense of ourselves, and our capacity for empathy and relationship suffers. We see the costs of the flight from conversation everywhere: conversation is the cornerstone for democracy and in business it is good for the bottom line. In the private sphere, it builds empathy, friendship, love, learning, and productivity. But there is good news: we are resilient. Conversation cures. Based on five years of research and interviews in homes, schools, and the workplace, Turkle argues that we have come to a better understanding of where our technology can and cannot take us and that the time is right to reclaim conversation. The most human—and humanizing—thing that we do. The virtues of person-to-person conversation are timeless, and our most basic technology, talk, responds to our modern challenges. We have everything we need to start, we have each other.

    But how can you be the person who comes up with those ideas? In this revised and expanded edition of his groundbreaking Thinkertoys, creativity expert Michael Michalko reveals life-changing tools that will help you think like a genius. From the linear to the intuitive, this comprehensive handbook details ingenious creative-thinking techniques for approaching problems in unconventional ways. Through fun and thought-provoking exercises, you’ll learn how to create original ideas that will improve your personal life and your business life. Michalko’s techniques show you how to look at the same information as everyone else and see something different.  With hundreds of hints, tricks, tips, tales, and puzzles, Thinkertoys will open your mind to a world of innovative solutions to everyday and not-so-everyday problems.

    The author's conversational writing style presents the politics and science of economic theories to tomorrow's decision-makers.

    This clear, concise look at the basic principles and concepts of genetics uses a human genetics perspective to discuss the methods and experiments upon which genetic principles are based, such as DNA replication.

    Thus it would seem obvious that an understanding of the brain - the organ of learning - would be critical to a teacher's readiness to work with students. Unfortunately, in traditional public, public-charter, private, parochial, and home schools across the country, most teachers lack an understanding of how the brain receives, filters, consolidates, and applies learning for both the short and long term. Neuroteach was therefore written to help solve the problem teachers and school leaders have in knowing how to bring the growing body of educational neuroscience research into the design of their schools, classrooms, and work with each individual student. It is our hope, that Neuroteach will help ensure that one day, every student -regardless of zip code or school type-will learn and develop with the guidance of a teacher who knows the research behind how his or her brain works and learns.

    Courses tailored to fit individual pupils. Textbooks that talk back. This is tomorrow’s education landscape, thanks to the power of big data. These advances go beyond the much-discussed rise of online courses. As the New York Times-bestselling authors of Big Data explain, the truly fascinating changes are actually occurring in how we measure students’ progress and how we can use that data to improve education for everyone, in real time, both on- and offline. Learning with Big Data offers an eye-opening, insight-packed tour through these new trends, for educators, administrators, and readers interested in the latest developments in business and technology.

     into their ideal job   Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration.   Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success.  They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options.   Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers.   Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including:   -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right  The Professor Is In addresses all of these issues, and many more.

    It blends practical and theoretical coverage, while maintaining an appropriate rigor and a clear writing style. Its unifying theme is that security markets are nearly efficient, meaning that most securities are priced appropriately given their risk and return attributes. The text places greater emphasis on asset allocation and offers a much broader and deeper treatment of futures, options, and other derivative security markets than most investment texts. It is also the only graduate Investments text to offer an online homework management system, McGraw-Hill's "Connect Finance."

    About The Author: Henry Gray, F.R.S., Fellow of the royal college of Surgeons: Lecturer on anatomy at St. George?s Hospital Medical School. Table Of Contents: Descriptive and Surgical Anatomy The Articulations Muscles and Fasclae The Blood-vascular system The Lymphatics The Nervous system The Organs of special sense The Organs of Digestion The Organs of voice and respiration The urinary organs The Male Organs of Generation The Female Organs of Generation The Surgical Anatomy of Hernia Surgical Anatomy of the Perinaeum General Anatomy or Histology Embryology

    We’re told that learning is all self-discipline, that we must confine ourselves to designated study areas, turn off the music, and maintain a strict ritual if we want to ace that test, memorize that presentation, or nail that piano recital.   But what if almost everything we were told about learning is wrong? And what if there was a way to achieve more with less effort?   In How We Learn, award-winning science reporter Benedict Carey sifts through decades of education research and landmark studies to uncover the truth about how our brains absorb and retain information. What he discovers is that, from the moment we are born, we are all learning quickly, efficiently, and automatically; but in our zeal to systematize the process we have ignored valuable, naturally enjoyable learning tools like forgetting, sleeping, and daydreaming. Is a dedicated desk in a quiet room really the best way to study? Can altering your routine improve your recall? Are there times when distraction is good? Is repetition necessary? Carey’s search for answers to these questions yields a wealth of strategies that make learning more a part of our everyday lives—and less of a chore.   By road testing many of the counterintuitive techniques described in this book, Carey shows how we can flex the neural muscles that make deep learning possible. Along the way he reveals why teachers should give final exams on the first day of class, why it’s wise to interleave subjects and concepts when learning any new skill, and when it’s smarter to stay up late prepping for that presentation than to rise early for one last cram session. And if this requires some suspension of disbelief, that’s because the research defies what we’ve been told, throughout our lives, about how best to learn.   The brain is not like a muscle, at least not in any straightforward sense. It is something else altogether, sensitive to mood, to timing, to circadian rhythms, as well as to location and environment. It doesn’t take orders well, to put it mildly. If the brain is a learning machine, then it is an eccentric one. In How We Learn, Benedict Carey shows us how to exploit its quirks to our advantage.  Praise for How We Learn“This book is a revelation. I feel as if I’ve owned a brain for fifty-four years and only now discovered the operating manual.”—Mary Roach, bestselling author of Stiff and Gulp“A welcome rejoinder to the faddish notion that learning is all about the hours put in.” —The New York Times Book Review   “A valuable, entertaining tool for educators, students and parents.” —Shelf Awareness   “How We Learn is more than a new approach to learning; it is a guide to making the most out of life. Who wouldn’t be interested in that?” —Scientific American   “I know of no other source that pulls together so much of what we know about the science of memory and couples it with practical, practicable advice.”—Daniel T. Willingham, professor of psychology at the University of Virginia