We constantly hear cries from politicians for teachers to have high expectations. But what this means in practical terms is never spelled out. Simply deciding that as a teacher you will expect all your students to achieve more than other classes you have taught in the same school, is not going to translate automatically into enhanced achievement for students.

Becoming a High Expectation Teacher is a book that every education student, training or practising teacher, should read. It details the...

Using Political Ideas is a unique blend of political philosophy, political theory and history of political thought. It combines a critique of the major ideologies of recent and contemporary society with an analysis of the ideas that form the very stuff of political debate.

The hope for intimacy lies deep within us all. That moment of feeling uniquely understood, the antidote to isolation, is what gives us value, validation and self-belief. But as Ziyad Marar shows in this fascinating and engaging study, intimacy is a tricky business.

The prevalence of social media, for example, is a sign of our desire for human connection, yet is a symptom of how little we truly achieve it. Often confused with love, intimacy is in many ways more important. Marar's investigation...

Third edition of Chukyu kara manabu nihongo: Temabetsu, a book geared towards teaching through themes. The focus of this type of methodology is to present a universal subject that appeals to students' interests. Together with the teacher, the students discuss and express their opinions on the subject. The book provides the elements needed to prepare a speech, such as a text of 500 - 900 words, vocabulary, specific expressions, etc. This book is aimed at intermediate level students. The book h...

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition.

In particular, there ar...

Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise tha...

Best practices for picking up the pieces when projects fail There are plenty of books available offering best practices that help you keep your projects on track, but offer guidance on what to do when the worst has already happened. Some studies show that more than half of all large-scale project fail either fail completely, or at least miss targeted budget and scheduling goals. These failures cost organizations time, money, and labor.

Project Recovery offers wise guidance and real-world best...

Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer science majors. With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics.

It covers abstraction, algorithms, logic, graph th...

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.

Language is one of our most precious and uniquely human capacities, so it is not surprising that research on its neural substrates has been advancing quite rapidly in recent years. Until now, however, there has not been a single introductory textbook that focuses specifically on this topic. Cognitive Neuroscience of Language fills that gap by providing an up-to-date, wide-ranging, and pedagogically practical survey of the most important developments in the field.

It guides students through al...