Koslowski boldly criticizes many of the currently classic studies and musters a compelling set of arguments, backed by an exhaustive set of experiments carried out during the last decade.

The Limits of Scientific Reasoning was first published in 1984. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions. The study of human judgment and its limitations is essential to an understanding of the processes involved in the acquisition of scientific knowledge. With that end in mind, David Faust has made the first comprehensive attempt to apply recent research on human judgment to the practice of science. Drawing upon the findings of cognitive psychology, Faust maintains that human judgment is far more limited than we have tended to believe and that all individuals - scientists included—have a surprisingly restricted capacity to interpret complex information. Faust's thesis implies that scientists do not perform reasoning tasks, such as theory evaluation, as well as we assume they do, and that there are many judgments the scientist is expected to perform but cannot because of restrictions in cognitive capacity. "This is a very well-written, timely, and important book. It documents and clarifies, in a very scholarly fashion, what sociologists and psychologists of science have been flirting with for several decades—namely, inherent limitations of scientific judgment," –Michael Mahoney, Pennsylvania State University David Faust is director of psychology at Rhode Island Hospital and a faculty member of the Brown University Medical School. He is co-author of Teaching Moral Reasoning: Theory and Practice.

The volume is based on the papers that were presented at the Interna tional Conference Model-Based Reasoning in Scientific Discovery (MBR'98), held at the Collegio Ghislieri, University of Pavia, Pavia, Italy, in December 1998. The papers explore how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. The study of diagnostic, visual, spatial, analogical, and temporal rea soning has demonstrated that there are many ways of performing intelligent and creative reasoning that cannot be described with the help only of tradi tional notions of reasoning such as classical logic. Traditional accounts of scientific reasoning have restricted the notion of reasoning primarily to de ductive and inductive arguments. Understanding the contribution of model ing practices to discovery and conceptual change in science requires ex panding scientific reasoning to include complex forms of creative reasoning that are not always successful and can lead to incorrect solutions. The study of these heuristic ways of reasoning is situated at the crossroads of philoso phy, artificial intelligence, cognitive psychology, and logic; that is, at the heart of cognitive science. There are several key ingredients common to the various forms of model based reasoning to be considered in this book. The models are intended as in terpretations of target physical systems, processes, phenomena, or situations. The models are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain.

Competence in scientific reasoning is one of the most valued outcomes of secondary and higher education. However, there is a need for a deeper understanding of and further research into the roles of domain-general and domain-specific knowledge in such reasoning. This book explores the functions and limitations of domain-general conceptions of reasoning and argumentation, the substantial differences that exist between the disciplines, and the role of domain-specific knowledge and epistemologies. Featuring chapters and commentaries by widely cited experts in the learning sciences, educational psychology, science education, history education, and cognitive science, Scientific Reasoning and Argumentation presents new perspectives on a decades-long debate about the role of domain-specific knowledge and its contribution to the development of more general reasoning abilities.

A systematic critique of the notion that natural science is the sovereign domain of truth, Critique of Scientific Reason uses an extensive and detailed investigation of physics—and in particular of Einstein's theory of relativity—to argue that the positivistic notion of rationality is not only wrongheaded but false. Kurt Hübner contends that positivism ignores both the historical dimension of science and the basic structures common to scientific theory, myth, and so-called subjective symbolic systems. Moreover, Hübner argues, positivism has led in our time to a widespread disillusionment with science and technology.

Teach your students how to think like scientists. This book shows you practical ways to incorporate science thinking in your classroom using simple "Thinking Tasks" that you can insert into any lesson. What is science thinking and how can you possibly teach and assess it? How is science thinking incorporated into the Next Generation Science Standards (NGSS) and how can it be weaved into your curriculum? This book answers these questions. This practical book provides a clear, research-verified framework for helping students develop scientific thinking as required by the NGSS. Your students will not be memorizing content but will become engaged in the real work scientists do, using critical thinking patterns such as: Recognizing patterns, Inventing new hypotheses based on observations, Separating causes from correlations, Determining relevant variables and isolating them, Testing hypotheses, and Thinking about their own thinking and the relative value of evidence. The book includes a variety of sample classroom activities and rubrics, as well as frameworks for creating your own tools. Designed for the busy teacher, this book also shows you quick and simple ways to add deep science thinking to existing lessons.

This book examines the learning and development process of students’ scientific thinking skills. Universities should prepare students to be able to make judgements in their working lives based on scientific evidence. However, an understanding of how these thinking skills can be developed is limited. This book introduces a new broad theory of scientific thinking for higher education; in doing so, redefining higher-order thinking abilities as scientific thinking skills. This includes critical thinking and understanding the basics of science, epistemic maturity, research and evidence-based reasoning skills and contextual understanding. The editors and contributors discuss how this concept can be redefined, as well as the challenges educators and students may face when attempting to teach and learn these skills. This edited collection will be of interest to students and scholars of student scientific skills and higher-order thinking abilities.