Network Science, A Decade Later--the result of NSF-funded research that looked at the experiences of a set of science projects which use the Internet--offers an understanding of how the Internet can be used effectively by science teachers and students to support inquiry-based teaching and learning. The book emphasizes theoretical and critical perspectives and is intended to raise questions about the goals of education and the ways that technology helps reach those goals and ways that it cannot. The theoretical perspective of inquiry-based teaching and learning in which the book is grounded is consistent with the current discipline-based curriculum standards and frameworks. The chapters in Part I, "State of the Art," describe the history and current practice of network science. Those in Part II, "Looking Deeply," extend the inquiry into network science by examining discourse and data in depth, using both empirical data and theoretical perspectives. In Part III, "Looking Forward," the authors step back from the issues of network science to take a broader view, focusing on the question: How should the Internet be used--and not used--to support student learning? The book concludes with a reminder that technology will not replace teachers. Rather, the power of new technologies to give students both an overwhelming access to resources--experts, peers, teachers, texts, images, and data--and the opportunity to pursue questions of their own design, increases the need for highly skilled teachers and forward-looking administrators. This is a book for them, and for all educators, policymakers, students involved in science and technology education. For more information about the authors, an archived discussions space, a few chapters that can be downloaded as PDF files, and ordering information, visit teaparty.terc.edu/book/

A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing. The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover: Origins Graphs Regular Networks Random Networks Small-World Networks Scale-Free Networks Emergence Epidemics Synchrony Influence Networks Vulnerability Net Gain Biology This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.

"Aligns to Common Core state standards"--Cover.

The Art of Teaching Science emphasizes a humanistic, experiential, and constructivist approach to teaching and learning, and integrates a wide variety of pedagogical tools. Becoming a science teacher is a creative process, and this innovative textbook encourages students to construct ideas about science teaching through their interactions with peers, mentors, and instructors, and through hands-on, minds-on activities designed to foster a collaborative, thoughtful learning environment. This second edition retains key features such as inquiry-based activities and case studies throughout, while simultaneously adding new material on the impact of standardized testing on inquiry-based science, and explicit links to science teaching standards. Also included are expanded resources like a comprehensive website, a streamlined format and updated content, making the experiential tools in the book even more useful for both pre- and in-service science teachers. Special Features: Each chapter is organized into two sections: one that focuses on content and theme; and one that contains a variety of strategies for extending chapter concepts outside the classroom Case studies open each chapter to highlight real-world scenarios and to connect theory to teaching practice Contains 33 Inquiry Activities that provide opportunities to explore the dimensions of science teaching and increase professional expertise Problems and Extensions, On the Web Resources and Readings guide students to further critical investigation of important concepts and topics. An extensive companion website includes even more student and instructor resources, such as interviews with practicing science teachers, articles from the literature, chapter PowerPoint slides, syllabus helpers, additional case studies, activities, and more. Visit http://www.routledge.com/textbooks/9780415965286 to access this additional material.

ARIST, published annually since 1966, is a landmark publication within the information science community. It surveys the landscape of information science and technology, providing an analytical, authoritative, and accessible overview of recent trends and significant developments. The range of topics varies considerably, reflecting the dynamism of the discipline and the diversity of theoretical and applied perspectives. While ARIST continues to cover key topics associated with "classical" information science (e.g., bibliometrics, information retrieval), editor Blaise Cronin is selectively expanding its footprint in an effort to connect information science more tightly with cognate academic and professional communities.

This invaluable book captures the proceedings of a workshop that brought together a group of distinguished scientists from a variety of disciplines to discuss how networking influences decision making. The individual lectures interconnect psychological testing, the modeling of neuron networks and brain dynamics to the transport of information within and between complex networks. Of particular importance was the introduction of a new principle that governs how complex networks talk to one another — the Principle of Complexity Management (PCM). PCM establishes that the transfer of information from a stimulating complex network to a responding complex network is determined by how the complexity indices of the two networks are related. The response runs the gamut from being independent of the perturbation to being completely dominated by it, depending on the complexity mismatch.