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Assistive Technology and Universal Design for Learning: Toolkits for Inclusive Instruction is an innovative textbook on instructional and assistive technology. Designed for both undergraduate and graduate teaching programs, student readers can expect to gain a thorough understanding of how assistive technology and UDL can be integrated into educational settings. This text delves into data analytics platforms for analyzing student behavior, learning management systems for facilitating communication, and software emphasizing UDL. Students will learn how to create accessible environments and systems while also focusing on multiple means of representation, engagement, and expression to accommodate all learners. With a developmental focus that supports learners across intellectual, sensory, and motor challenges, this text will serve as a valuable guide on how these technologies can be utilized to effectively transform the classroom and revolutionize education. Key Features: * Infuses assistive technology and UDL * Includes a unique chapter on distance education, behavior, and emerging technologies * Has a developmental focus that supports learners across intellectual, sensory, and motor challenges * Toolkits that include resources, strategies, and instructional methods to equip readers to foster an inclusive classroom environment across content areas * Learning Outcomes at the beginning of each chapter to provide clear direction for navigating the content * Chapter summaries that support understanding of key concepts * Chapter activities that support integrating technology within the curriculum * Glossary with definitions of key terminology use
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples. Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.
In a Emergency, shows readers how to make a large range of useful equipment using natural materials. With clear stepbystep instructions, it demonstrates how to create containers, utensils, rope, fishing tools and many other objects essential for living in the wild. Additional features include: a table of contents, glossary, index, color photographs, quizzes, and recommended websites for further exploration.
Through use of practical examples and a plainspoken narrative style that minimises the use of maths, this book demystifies data concepts, sources, and methods for public service professionals interested in understanding economic and social issues at the regional level. By blending elements of a general interest book, a textbook, and a reference book, it equips civic leaders, public administrators, urban planners, nonprofit executives, philanthropists, journalists, and graduate students in various public affairs disciplines to wield social and economic data for the benefit of their communities. While numerous books about quantitative research exist, few focus specifically on the public sector. Running the Numbers, in contrast, explores a wide array of topics of regional importance, including economic output, demographics, business structure, labour markets, and income, among many others. To that end, the book stresses practical applications, minimises the use of maths, and employs extended, chapter-length examples that demonstrate how analytical tools can illuminate the social and economic workings of actual American regions.