This volume explores the integration of recent research on everyday, classroom, and professional scientific thinking. It brings together an international group of researchers to present core findings from each context; discuss connections between contexts, and explore structures; technologies, and environments to facilitate the development and practice of scientific thinking. The chapters focus on:
* situations from young children visiting museums,
* middle-school students collaborating in classrooms,
* undergraduates learning about research methods, and
* professional scientists engaged in cutting-edge research.
A diverse set of approaches are represented, including sociocultural description of situated cognition, cognitive enthnography, educational design experiments, laboratory studies, and artificial intelligence. This unique mix of work from the three contexts deepens our understanding of each subfield while at the same time broadening our understanding of how each subfield articulates with broader issues of scientific thinking. To provide a common focus for exploring connections between everyday, instructional, and professional scientific thinking, the book uses a "practical implications" subtheme. In particular, each chapter has direct implications for the design of learning environments to facilitate scientific thinking.

This volume features the complete text of the material presented at the Twenty-Fourth Annual Conference of the Cognitive Science Society. As in previous years, the symposium included an interesting mixture of papers on many topics from researchers with diverse backgrounds and different goals, presenting a multifaceted view of cognitive science. The volume includes all papers, posters, and summaries of symposia presented at this leading conference that brings cognitive scientists together. The 2002 meeting dealt with issues of representing and modeling cognitive processes as they appeal to scholars in all subdisciplines that comprise cognitive science: psychology, computer science, neuroscience, linguistics, and philosophy.

The International Conference on Cognitive Modeling brings together researchers who develop computational models to explain and predict cognitive data. The core theme of the 2004 conference was "Integrating Computational Models," encompassing an integration of diverse data through models of coherent phenomena; integration across modeling approaches; and integration of teaching and modeling. This text presents the proceedings of that conference. The International Conference on Cognitive Modeling 2004 sought to grow the discipline of computational cognitive modeling by providing a sophisticated modeling audience for cutting-edge researchers, in addition to offering a forum for integrating insights across alternative modeling approaches in both basic research and applied settings, and a venue for planning the future growth of the discipline. The meeting included a careful peer-review process of 6-page paper submissions; poster-abstracts to include late-breaking work in the area; prizes for best papers; a doctoral consortium; and competitive modeling symposia that compare and contrast different approaches to the same phenomena.

This volume explores the integration of recent research on everyday, classroom, and professional scientific thinking. It brings together an international group of researchers to present core findings from each context; discuss connections between contexts, and explore structures; technologies, and environments to facilitate the development and practice of scientific thinking. The chapters focus on:
* situations from young children visiting museums,
* middle-school students collaborating in classrooms,
* undergraduates learning about research methods, and
* professional scientists engaged in cutting-edge research.
A diverse set of approaches are represented, including sociocultural description of situated cognition, cognitive enthnography, educational design experiments, laboratory studies, and artificial intelligence. This unique mix of work from the three contexts deepens our understanding of each subfield while at the same time broadening our understanding of how each subfield articulates with broader issues of scientific thinking. To provide a common focus for exploring connections between everyday, instructional, and professional scientific thinking, the book uses a "practical implications" subtheme. In particular, each chapter has direct implications for the design of learning environments to facilitate scientific thinking.

Interdisciplinary Collaboration calls attention to a serious need to study the problems and processes of interdisciplinary inquiry, to reflect on the current state of scientific knowledge regarding interdisciplinary collaboration, and to encourage research that studies interdisciplinary cognition in relation to the ecological contexts in which it occurs. It contains reflections and research on interdisciplinarity found in a number of different contexts by practitioners and scientists from a number of disciplines and several chapters represent attempts by cognitive scientists to look critically at the cognitive science enterprise itself. Representing all of the seven disciplines listed in the official logo of the Cognitive Science Society and its journal--anthropology, artificial intelligence, education, linguistics, neuroscience, philosophy, and psychology--this book is divided into three parts: *Part I sets the stage by providing three broad overviews of literature and theory on interdisciplinary research and education. *Part II examines varied forms of interdisciplinarity in situ rather than the more traditional macrolevel interview or survey approaches to studying group work. *Part III consists of noted cognitive scientists who reflect on their experiences and turn the analytical lenses of their own disciplines to the critical examination of cognitive science itself as a case study in interdisciplinary collaboration. Interdisciplinary Collaboration is intended for scholars at the graduate level and beyond in cognitive science and education.

Interdisciplinary Collaboration calls attention to a serious need to study the problems and processes of interdisciplinary inquiry, to reflect on the current state of scientific knowledge regarding interdisciplinary collaboration, and to encourage research that studies interdisciplinary cognition in relation to the ecological contexts in which it occurs. It contains reflections and research on interdisciplinarity found in a number of different contexts by practitioners and scientists from a number of disciplines and several chapters represent attempts by cognitive scientists to look critically at the cognitive science enterprise itself. Representing all of the seven disciplines listed in the official logo of the Cognitive Science Society and its journal--anthropology, artificial intelligence, education, linguistics, neuroscience, philosophy, and psychology--this book is divided into three parts: *Part I sets the stage by providing three broad overviews of literature and theory on interdisciplinary research and education. *Part II examines varied forms of interdisciplinarity in situ rather than the more traditional macrolevel interview or survey approaches to studying group work. *Part III consists of noted cognitive scientists who reflect on their experiences and turn the analytical lenses of their own disciplines to the critical examination of cognitive science itself as a case study in interdisciplinary collaboration. Interdisciplinary Collaboration is intended for scholars at the graduate level and beyond in cognitive science and education.

The International Conference on Cognitive Modeling brings together researchers who develop computational models to explain and predict cognitive data. The core theme of the 2004 conference was "Integrating Computational Models," encompassing an integration of diverse data through models of coherent phenomena; integration across modeling approaches; and integration of teaching and modeling. This text presents the proceedings of that conference. The International Conference on Cognitive Modeling 2004 sought to grow the discipline of computational cognitive modeling by providing a sophisticated modeling audience for cutting-edge researchers, in addition to offering a forum for integrating insights across alternative modeling approaches in both basic research and applied settings, and a venue for planning the future growth of the discipline. The meeting included a careful peer-review process of 6-page paper submissions; poster-abstracts to include late-breaking work in the area; prizes for best papers; a doctoral consortium; and competitive modeling symposia that compare and contrast different approaches to the same phenomena.