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Contents: a plan and a partnership; time for teachers; raising standards; what do we mean by "high standards for all students?"; how can we move all students toward high standards?; a partner -- the U.S. Department of Education; and so, what can I do? Five appendices: the Improving America's Schools Act of 1994 (reauthorization of the Elementary and Secondary Education Act); sample standards; voluntary model standards and standards projects; student work; and national education goals and objectives.
In an age of unprecedented corporate and political control over life inside of educational institutions, this book provides a needed intervention to investigate how the economic and political elite use traditional artifacts in K-16 schools to perpetuate their interests at the expense of minoritized social groups. The contributors provide a comprehensive examination of how textbooks, the most dominant cultural force in which corporations and political leaders impact the schooling curricula, shape students’ thoughts and behavior, perpetuate power in dominant groups, and trivialize social groups who are oppressed on the structural axes of race, class, gender, sexuality, and (dis)ability. Several contributors also generate critical insight in how power shapes the production of textbooks and evaluate whether textbooks still perpetuate dominant Western narratives that normalize and privilege patriotism, militarism, consumerism, White supremacy, heterosexism, rugged individualism, technology, and a positivistic conception of the world. Finally, the book highlights several textbooks that challenge readers to rethink their stereotypical views of the Other, to reflect upon the constitutive forces causing oppression in schools and in the wider society, and to reflect upon how to challenge corporate and political dominance over knowledge production.
Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.
This compact, easy-to-use atlas offers the convenience of smaller scale without sacrificing clarity or detail; instead, identically-scaled maps on a given continent enable readers to compare physical, political, and regional information simply and accurately. In addition, access to a companion Web site provides continuing and complementary information.