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"In Tyranny of the Textbook, a retired educational director, gives a fascinating look behind-the-scenes of how K-12 textbooks are developed, written, adopted, and sold. Readers will come to understand why all the reform efforts have failed. Most importantly, the author clearly spells out how the system can change so that reforms and standards have a shot at finally being effective"--
You are an idiot. Don't get defensive! It's not your fault. For decades your teachers, authority figures and textbooks have been lying to you. You do not have five senses. Your tongue doesn't have neatly segregated taste-bud zones. You don't know what the pyramids really looked like. You're even pooping wrong - Jesus, you're a wreck! But it's going to be okay. Because we're here to help. Packed with more sexy facts than the Encyclopedia Pornographica, the Cracked De-Textbook will teach you about the true stars of history, why you picture everything from Velociraptors to Ancient Rome incorrectly, and finally, at long last - how to pop a proper squat. This book was built from the ground up to systematically seek out, dismantle and destroy the many untruths that years of misguided education have left festering inside of you, and leave you a smarter person...whether you like it or not. The De-Textbook is a merciless, brutal learning machine. It can't be bargained with. It can't be reasoned with. It doesn't feel pity, or remorse, or fear. And it absolutely will not stop, ever, until you are informed.
The bestselling author of Encyclopedia an Ordinary Life returns with a literary experience that is unprecedented, unforgettable, and explosively human. Ten years after her beloved, groundbreaking Encyclopedia of an Ordinary Life, #1 New York Times bestselling author Amy Krouse Rosenthal delivers a book full of her distinct blend of nonlinear narrative, wistful reflections, and insightful wit. It is a mighty, life-affirming work that sheds light on all the ordinary and extraordinary ways we are connected. Like she did with Encyclopedia of an Ordinary Life, Amy Krouse Rosenthal ingeniously adapts a standard format—a textbook, this time—to explore life’s lessons and experiences into a funny, wise, and poignant work of art. Not exactly a memoir, not just a collection of observations, Textbook Amy Krouse Rosenthal is a beautiful exploration into the many ways we are connected on this planet and speaks to the awe, bewilderment, and poignancy of being alive. “…a groundbreaking new twist on the traditional literary experience… Textbook is a delightful collection of interesting scenarios that directly point to life lessons. Rosenthal manages to spotlight grand moments and everyday moments with equal curiosity, proving that it can be both a privilege — and petrifying — to peek into one’s humanity.”—Associated Press “Rosenthal is a marvel… a talented storyteller with an experimental flair for formatting… This engaging, playful, and clever glimpse into one woman’s life offers lots of photographs, graphic illustrations, and diagrams, resulting in a book that will make readers smile as their notions of story delivery expand.” —Booklist
Textbooks are symbols of centuries-old education. They're often outdated as soon as they hit students' desks. Acting "by the textbook" implies compliance and a lack of creativity. It's time to ditch those textbooks--and those textbook assumptions about learning In Ditch That Textbook, teacher and blogger Matt Miller encourages educators to throw out meaningless, pedestrian teaching and learning practices. He empowers them to evolve and improve on old, standard, teaching methods. Ditch That Textbook is a support system, toolbox, and manifesto to help educators free their teaching and revolutionize their classrooms.
Machine generated contents note: Preface Part I 1. No More Pencils, No More Books?2. Writing Instruction in the Twenty-First Century Part II 3. Psychology and the Rationalist4. The Romantic Tradition5. Romantic versus Rationalist Reform6. Theorizing Media--by the Book Part III 7. A Textbook Case8. From Translatio Studiorum to "Intelligences Thinking in Unison"9. The Lecture as Postmodern PerformanceConclusionNotesBibliography Index
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago
Describes a method of teaching history in which students act as historians, researching documents and primary sources; provides accounts of how this curriculum worked in actual classrooms; and includes sample handouts, and excerpts from student writings.
Provides an updated and expanded revision of one of the bestselling textbooks on UNIX Contains eight new chapters, including four new chapters on UNIX systems programming, and one chapter each on Python scripting, ZFS, UNIX system administration, and virtualization using native containers and VirtualBox. Covers all important aspects of the UNIX operating system from a user’s point of view, as well as from a programmer’s and system administrator’s viewpoint Introduces Unix system programming with a highly developed pedagogy and tutorial technique Completely describes with examples the basic and advance features of Bourne and C shell scripting languages Includes in-chapter exercise solutions, weblinks, and errata on the author’s website: www.github.com/bobk48/unixthetextbook3
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three categories: Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. Advanced topics and applications: Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors.