Articulates a method for integrating the individual disciplines that compose the cognitive sciences so that unified interdisciplinary theories are possible.

How to Build a Theory in Cognitive Science specifies the characteristics of fruitful interdisciplinary theories in cognitive science and shows how they differ from the successful theories in the individual disciplines composing the cognitive sciences. It articulates a method for integrating the various disciplines successfully so that unified, truly interdisciplinary theories are possible. This book makes three contributions of utmost importance. First, it provides a long overdue, systematic examination of the field of cognitive science itself. Second, it provides a template for linking domains without loss of autonomy. This philosophical treatment of integration serves as a blueprint for future endeavors. Third, the book provides a solid theoretical foundation that will prevent future missteps and enhance collaboration.

An authoritative, up-to-date survey of the state of the art in cognitive science, written for non-specialists.

Education is a hot topic. From the stage of presidential debates to tonight's dinner table, it is an issue that most Americans are deeply concerned about. While there are many strategies for improving the educational process, we need a way to find out what works and what doesn't work as well. Educational assessment seeks to determine just how well students are learning and is an integral part of our quest for improved education. The nation is pinning greater expectations on educational assessment than ever before. We look to these assessment tools when documenting whether students and institutions are truly meeting education goals. But we must stop and ask a crucial question: What kind of assessment is most effective? At a time when traditional testing is subject to increasing criticism, research suggests that new, exciting approaches to assessment may be on the horizon. Advances in the sciences of how people learn and how to measure such learning offer the hope of developing new kinds of assessments-assessments that help students succeed in school by making as clear as possible the nature of their accomplishments and the progress of their learning. Knowing What Students Know essentially explains how expanding knowledge in the scientific fields of human learning and educational measurement can form the foundations of an improved approach to assessment. These advances suggest ways that the targets of assessment-what students know and how well they know it-as well as the methods used to make inferences about student learning can be made more valid and instructionally useful. Principles for designing and using these new kinds of assessments are presented, and examples are used to illustrate the principles. Implications for policy, practice, and research are also explored. With the promise of a productive research-based approach to assessment of student learning, Knowing What Students Know will be important to education administrators, assessment designers, teachers and teacher educators, and education advocates.

The rise of cognitive neuroscience is the most important scientific and intellectual development of the last thirty years. Findings pour forth, and major initiatives for brain research continue. The social sciences have responded to this development slowly--for good reasons. The implications of particular controversial findings, such as the discovery of mirror neurons, have been ambiguous, controversial within neuroscience itself, and difficult to integrate with conventional social science. Yet many of these findings, such as those of experimental neuro-economics, pose very direct challenges to standard social science. At the same time, however, the known facts of social science, for example about linguistic and moral diversity, pose a significant challenge to standard neuroscience approaches, which tend to focus on "universal" aspects of human and animal cognition. A serious encounter between cognitive neuroscience and social science is likely to be challenging, and transformative, for both parties. Although a literature has developed on proposals to integrate neuroscience and social science, these proposals go in divergent directions. None of them has a developed conception of social life. This book surveys these issues, introduces the basic alternative conceptions both of the mental world and the social world, and show how, with sufficient modification, they can be fit together in plausible ways. The book is not a "new theory " of anything, but rather an exploration of the critical issues that relate to the social aspects of cognition which expands the topic from the social neuroscience of immediate interpersonal interaction to the whole range of places where social variation interacts with the cognitive. The focus is on the conceptual problems produced by any attempt to take these issues seriously, and also on the new resources and considerations relevant to doing so. But it is also on the need for a revision of social theoretical concepts in order to utilize these resources. The book points to some conclusions, especially about how the process of what was known as socialization needs to be understood in cognitive science friendly terms. But there is no attempt to resolve the underlying issues within cognitive science, which will doubtless persist.

"This is a book for artists, but it is also for curators, art school faculty, landscape architects, gallerists, archivists, post-disciplinary multi-hyphenates, museum program staff, and anyone who wants to know about the ways art and congnitive science come together to engage an audience."--Cover

How to Build a Theory in Cognitive Science specifies the characteristics of fruitful interdisciplinary theories in cognitive science and shows how they differ from the successful theories in the individual disciplines composing the cognitive sciences. It articulates a method for integrating the various disciplines successfully so that unified, truly interdisciplinary theories are possible. This book makes three contributions of utmost importance. First, it provides a long-overdue, systematic examination of the field of cognitive science itself. Second, it provides a template for linking domains without loss of autonomy. This philosophical treatment of integration serves as a blueprint for future endeavors. Third, the book provides a solid theoretical foundation that will prevent future missteps and enhance collaboration.