Learn how to shift from teaching science content to teaching a more hands-on, inquiry-based approach, as required by the new Next Generation Science Standards. This practical book provides a clear, research verified framework for building lessons that teach scientific process and practice abilities, such as gathering and making sense of data, constructing explanations, designing experiments, and communicating information. Creating Scientists features reproducible, immediately deployable tools and handouts that you can use in the classroom to assess your students’ learning within the domains for the NGSS or any standards framework with focus on the integration of science practice with content. This book is an invaluable resource for educators seeking to build a "community of practice," where students discover ideas through well-taught, hands-on, authentic science experiences that foster an innate love for learning how the world works.

An account that analyzes the dynamic reasoning processes implicated in a fundamental problem of creativity in science: how does genuine novelty emerge from existing representations? How do novel scientific concepts arise? In Creating Scientific Concepts, Nancy Nersessian seeks to answer this central but virtually unasked question in the problem of conceptual change. She argues that the popular image of novel concepts and profound insight bursting forth in a blinding flash of inspiration is mistaken. Instead, novel concepts are shown to arise out of the interplay of three factors: an attempt to solve specific problems; the use of conceptual, analytical, and material resources provided by the cognitive-social-cultural context of the problem; and dynamic processes of reasoning that extend ordinary cognition. Focusing on the third factor, Nersessian draws on cognitive science research and historical accounts of scientific practices to show how scientific and ordinary cognition lie on a continuum, and how problem-solving practices in one illuminate practices in the other. Her investigations of scientific practices show conceptual change as deriving from the use of analogies, imagistic representations, and thought experiments, integrated with experimental investigations and mathematical analyses. She presents a view of constructed models as hybrid objects, serving as intermediaries between targets and analogical sources in bootstrapping processes. Extending these results, she argues that these complex cognitive operations and structures are not mere aids to discovery, but that together they constitute a powerful form of reasoning—model-based reasoning—that generates novelty. This new approach to mental modeling and analogy, together with Nersessian's cognitive-historical approach, make Creating Scientific Concepts equally valuable to cognitive science and philosophy of science.

This is the first book-length introductory study of the concept of a created scientific controversy, providing a comprehensive and wide-ranging analysis for students of philosophy of science, environmental and health sciences, and social and natural sciences.

"Speaking About Science : A Manual for Creating Clear Presentations is essential reading for anyone who presents data at meetings and conferences. Based on the curriculum that authors have developed for their public speaking courses, the book provides the practical tools all speakers need to create clear and compelling presentations for any audience."--BOOK JACKET.

A collection of best practices for creating slide presentations. It changes your approach, process and expectations for developing visual aides. It makes the difference between a good presentation and a great one.

The hallmark text for nursing faculty seeking to promote the transformative teaching of caring science, this book reflects the paramount scholarship of caring science educators. The volume intertwines visionary thinking with blueprints, living exemplars, and dynamic directions for the application of fundamental principles. It features emancipatory teaching/learning scholarship, and student/teacher, relation/evaluation models for adoption into education and practice regimens. Divided into five units, the text addresses the history of the caring curriculum revolution and its reemergence as a powerful presence within nursing. Unit II introduces intellectual and strategic blueprints for caring-based education, including action-oriented approaches for faculty-student relations, teaching/learning skills, emancipatory pedagogical practices, critical-reflective-creative approaches to evolving human consciousness, and power relation dynamics. The third unit addresses curriculum structure and design, the evolution of a caring-based college of nursing, the philosophy of caring-human science, caring in advanced practice education, caring as a pedagogical approach to nursing education, and teaching-learning professional caring based on Watson's theory of human caring. Unit IV explores an alternative approach to evaluation. The final unit explores the future of the caring science curriculum as a way of emancipating the human spirit, with caritas nursing as a transformative model. Key Features: Expands upon the premiere resource for maximizing caring science in education, research, and practice (Bevis and Watson's Toward a Caring Curriculum: A New Pedagogy for Nursing, 1989) Provides a broad application of caring science for graduate educators, students, and nursing leaders Features case studies from two leading U.S. and Canadian universities Distills the expertise of world-renowned scholars Includes reflexive exercises to maximize student engagement

“The Knowledge Machine is the most stunningly illuminating book of the last several decades regarding the all-important scientific enterprise.” —Rebecca Newberger Goldstein, author of Plato at the Googleplex A paradigm-shifting work, The Knowledge Machine revolutionizes our understanding of the origins and structure of science. • Why is science so powerful? • Why did it take so long—two thousand years after the invention of philosophy and mathematics—for the human race to start using science to learn the secrets of the universe? In a groundbreaking work that blends science, philosophy, and history, leading philosopher of science Michael Strevens answers these challenging questions, showing how science came about only once thinkers stumbled upon the astonishing idea that scientific breakthroughs could be accomplished by breaking the rules of logical argument. Like such classic works as Karl Popper’s The Logic of Scientific Discovery and Thomas Kuhn’s The Structure of Scientific Revolutions, The Knowledge Machine grapples with the meaning and origins of science, using a plethora of vivid historical examples to demonstrate that scientists willfully ignore religion, theoretical beauty, and even philosophy to embrace a constricted code of argument whose very narrowness channels unprecedented energy into empirical observation and experimentation. Strevens calls this scientific code the iron rule of explanation, and reveals the way in which the rule, precisely because it is unreasonably close-minded, overcomes individual prejudices to lead humanity inexorably toward the secrets of nature. “With a mixture of philosophical and historical argument, and written in an engrossing style” (Alan Ryan), The Knowledge Machine provides captivating portraits of some of the greatest luminaries in science’s history, including Isaac Newton, the chief architect of modern science and its foundational theories of motion and gravitation; William Whewell, perhaps the greatest philosopher-scientist of the early nineteenth century; and Murray Gell-Mann, discoverer of the quark. Today, Strevens argues, in the face of threats from a changing climate and global pandemics, the idiosyncratic but highly effective scientific knowledge machine must be protected from politicians, commercial interests, and even scientists themselves who seek to open it up, to make it less narrow and more rational—and thus to undermine its devotedly empirical search for truth. Rich with illuminating and often delightfully quirky illustrations, The Knowledge Machine, written in a winningly accessible style that belies the import of its revisionist and groundbreaking concepts, radically reframes much of what we thought we knew about the origins of the modern world.