"Joe Feldman shows us how we can use grading to help students become the leaders of their own learning and lift the veil on how to succeed. . . . This must-have book will help teachers learn to implement improved, equity-focused grading for impact." —Zaretta Hammond, Author of Culturally Responsive Teaching & The Brain Crack open the grading conversation Here at last—and none too soon—is a resource that delivers the research base, tools, and courage to tackle one of the most challenging and emotionally charged conversations in today’s schools: our inconsistent grading practices and the ways they can inadvertently perpetuate the achievement and opportunity gaps among our students. With Grading for Equity, Joe Feldman cuts to the core of the conversation, revealing how grading practices that are accurate, bias-resistant, and motivational will improve learning, minimize grade inflation, reduce failure rates, and become a lever for creating stronger teacher-student relationships and more caring classrooms. Essential reading for schoolwide and individual book study or for student advocates, Grading for Equity provides A critical historical backdrop, describing how our inherited system of grading was originally set up as a sorting mechanism to provide or deny opportunity, control students, and endorse a "fixed mindset" about students’ academic potential—practices that are still in place a century later A summary of the research on motivation and equitable teaching and learning, establishing a rock-solid foundation and a "true north" orientation toward equitable grading practices Specific grading practices that are more equitable, along with teacher examples, strategies to solve common hiccups and concerns, and evidence of effectiveness Reflection tools for facilitating individual or group engagement and understanding As Joe writes, "Grading practices are a mirror not just for students, but for us as their teachers." Each one of us should start by asking, "What do my grading practices say about who I am and what I believe?" Then, let’s make the choice to do things differently . . . with Grading for Equity as a dog-eared reference.

This re-focused third edition of McGerveys Introduction to Modern Physics is one of the most comprehensive up-to-date textbooks and references sources on quantum mechanics available. This revision fills the gapbetween the mainly descriptive treatments of quantum mechanics, usually found in traditional modern physics texts, and the non-intuitive approaches that treat the subject as a series of mathematical theorems. McGervey achieves this goal with a thoughtfulanalysis of a number of experiments, supplementing these with fully worked examples, and by investigating paradoxes rather than relying on the analysis of a series of dry mathematical theorems. Software, provided with the text, is available for IBM-PC compatible computers with VGA graphics. The software is the basis for the homework problems, many of which have not been used in any form in other books at this level. The text is exceptionally current, a fact reflected in the significant amount of materialbased on articles published in recent years in The American Journal of Physics, The Physical Review, and Science. In all, McGervey provides a lively discussion that will motivate interest and understanding of the subject at the senior undergraduate level.* A re-focused third edition of McGervey's Introduction to Modern Physics* Analyzes a number of different experiments, supplementing these with numerical examples including fully worked problems* Includes software that is the basis for homework problems, many of which have not been seen in any other form in other books at this level* Investigates paradoxes rather than relying on the analysis of a series of dry mathematical theorems

In the late forties, Mathematical Programming became a scientific discipline in its own right. Since then it has experienced a tremendous growth. Beginning with economic and military applications, it is now among the most important fields of applied mathematics with extensive use in engineering, natural sciences, economics, and biological sciences. The lively activity in this area is demonstrated by the fact that as early as 1949 the first "Symposium on Mathe matical Programming" took place in Chicago. Since then mathematical programmers from all over the world have gath ered at the intfrnational symposia of the Mathematical Programming Society roughly every three years to present their recent research, to exchange ideas with their colleagues and to learn about the latest developments in their own and related fields. In 1982, the XI. International Symposium on Mathematical Programming was held at the University of Bonn, W. Germany, from August 23 to 27. It was organized by the Institut fUr Okonometrie und Operations Re search of the University of Bonn in collaboration with the Sonderforschungs bereich 21 of the Deutsche Forschungsgemeinschaft. This volume constitutes part of the outgrowth of this symposium and docu ments its scientific activities. Part I of the book contains information about the symposium, welcoming addresses, lists of committees and sponsors and a brief review about the Ful kerson Prize and the Dantzig Prize which were awarded during the opening ceremony.

Vols. for 1911-13 contain the Proceedings of the Helminothological Society of Washington, ISSN 0018-0120, 1st-15th meeting.

Winner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied

This book constitutes the thoroughly refereed post-proceedings of the 23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010, held in Houston, TX, USA, in October 2010. The 18 revised full papers presented were carefully reviewed and selected from 47 submissions. The scope of the workshop spans foundational results and practical experience, and targets all classes of parallel platforms including concurrent, multithreaded, multicore, accelerated, multiprocessor, and cluster systems