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This exciting new book advances current practice-based and theoretical knowledge around how youth defines and engages with consumerism to provoke a larger conversation within science and environmental education. It is also geared towards unveiling those literacy praxes that can assist youth to adopt more ethically-oriented consumerist habits. More specifically, this book studies how youth’s participation in the global consumer market intersects with media technologies, new literacies, as well as science and the environment from sociocultural perspectives. In addition, it considers how school science has mediated youth participation in hyper-consumerism, from food and technology to shelter ...
This volume, a follow up to Reimagining Science Education in the Anthropocene (2021), continues a transdisciplinary conversation around reconceptualizing science education in the era of the Anthropocene. Drawing educators from many walks of life and areas of practice together in a creative work that helps reorient science education toward the problems and peculiarities associated with this contemporary geologic time. This work continues the mission of transforming the ways communities inherit science and technology education: its knowledges, practices, policies, and ways-of-living-with-Nature. Our understanding of the Anthropocene is necessarily open and pluralistic, as different beings on our planet experience this time of crisis in different ways. This second volume continues to nurture productive relationships between science education and fields such as science studies, environmental studies, philosophy, the natural sciences, Indigenous studies, and critical theory in order to provoke a science education that actively seeks to remake our shared ecological and social spaces in the coming decades and centuries. This is an open access book.
This encyclopedia for Amish genealogists is certainly the most definitive, comprehensive, and scholarly work on Amish genealogy that has ever been attempted. It is easy to understand why it required years of meticulous record-keeping to cover so many families (144 different surnames up to 1850). Covers all known Amish in the first settlements in America and shows their lineage for several generations. (955pp. index. hardcover. Pequea Bruderschaft Library, revised edition 2007.)
Introduction to Phenomenology is an outstanding and comprehensive guide to phenomenology. Dermot Moran lucidly examines the contributions of phenomenology's nine seminal thinkers: Brentano, Husserl, Heidegger, Gadamer, Arendt, Levinas, Sartre, Merleau-Ponty and Derrida. Written in a clear and engaging style, Introduction to Phenomenology charts the course of the phenomenological movement from its origins in Husserl to its transformation by Derrida. It describes the thought of Heidegger and Sartre, phenomonology's most famous thinkers, and introduces and assesses the distinctive use of phenomonology by some of its lesser known exponents, such as Levinas, Arendt and Gadamer. Throughout the book, the enormous influence of phenomenology on the course of twentieth-century philosophy is thoroughly explored. This is an indispensible introduction for all unfamiliar with this much talked about but little understood school of thought. Technical terms are explained throughout and jargon is avoided. Introduction to Phenomenology will be of interest to all students seeking a reliable introduction to a key movement in European thought.
This textbook is intended to introduce advanced undergraduate and early-career graduate students to the field of numerical analysis. This field pertains to the design, analysis, and implementation of algorithms for the approximate solution of mathematical problems that arise in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those taught in courses in calculus, linear algebra or differential equations.Topics covered include computer arithmetic, error analysis, solution of systems of linear equations, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, and partial differential equations. For each problem considered, the presentation includes the derivation of solution techniques, analysis of their efficiency, accuracy and robustness, and details of their implementation, illustrated through the Python programming language.This text is suitable for a year-long sequence in numerical analysis, and can also be used for a one-semester course in numerical linear algebra.