Web-enabled communication technologies are at the forefront of rapid change in education from the K-12 level through postgraduate education. The ascendancy of online learning environments has opened an array of opportunities and challenges, and has raised a formidable set of implications-in the pedagogical, economic, political, and other realms-that we have only begun to grasp, let alone fully manage.Online and Distance Learning: Concepts, Methodologies, Tools and Applications provides a comprehensive collection of case studies, empirical research, conceptual demonstrations, and best practices on Web-enabled learning technologies. This comprehensive, six-volume collection addresses all prominent aspects of online and distance learning, including information communication technologies applied to education, virtual classrooms, pedagogical systems, Web-based learning communities, library information systems, virtual universities, and numerous other topics. Collecting defining research in over 300 chapters from some 800 contributors representing more than 100 countries, Online and Distance Learning: Concepts, Methodologies, Tools and Applications enables libraries to provide a foundational reference to meet the information needs of researchers, educators, practitioners, administrators, and all other stakeholders in the online and distance learning context.
Since most of the problems arising in science and engineering are nonlinear, they are inherently difficult to solve. Traditional analytical approximations are valid only for weakly nonlinear problems and often fail when used for problems with strong nonlinearity. "Nonlinear Flow Phenomena and Homotopy Analysis: Fluid Flow and Heat Transfer" presents the current theoretical developments of the analytical method of homotopy analysis. This book not only addresses the theoretical framework for the method, but also gives a number of examples of nonlinear problems that have been solved by means of the homotopy analysis method. The particular focus lies on fluid flow problems governed by nonlinear differential equations. This book is intended for researchers in applied mathematics, physics, mechanics and engineering.
Both Kuppalapalle Vajravelu and Robert A. Van Gorder work at the University of Central Florida, USA.
Teaching and Learning Online, 2nd Edition, provides practical advice from academics, researchers, practitioners and designers who are currently engaged in defining, creating and delivering the increasingly important world of online learning. This powerful guide avoids trends in technology, instead focusing on the articulation and development of the learning theories that underpin the use of technology. The book covers:
Theory into practice - emerging models and understanding from academia
The second edition of this bestselling guide addresses key gaps in the available literature including the ethics of eLearning, emerging eLearning cultures, and cutting-edge design issues and pedagogies that will take us into the next decade of eLearning and future Web 3.0+ approaches.
We live in and form part of a system of things of immense diversity and perplexity, which we call Nature; and it is a matter of the deepest interest to all of us that we should form just conceptions of the constitution of that system and of its past history. With relation to this universe, man is, in extent, little more than a mathematical point; in duration but a fleeting shadow; he is a mere reed shaken in the winds of force. But, as Pascal long ago remarked, although a mere reed, he is a thinking reed; and in virtue of that wonderful capacity of thought, he has the power of framing for himself a symbolic conception of the universe, which, although doubtless highly imperfect and inadequate as a picture of the great whole, is yet sufficient to serve him as a chart for the guidance of his practical affairs.
This book provides a compilation of mathematical-computational tools that are used to analyze experimental data. The techniques presented are those that have been most widely and successfully applied to the analysis of physiological systems, and address issues such as randomness, determinism, dimension, and nonlinearity. In addition to bringing together the most useful methods, sufficient mathematical background is provided to enable non-specialists to understand and apply the computational techniques. Thus, the material will be useful to life-science investigators on several levels, from physiologists to bioengineer.Initial chapters present background material on dynamic systems, statistics, and linear system analysis. Each computational technique is demonstrated with examples drawn from physiology, and several chapters present case studies from oculomotor control, neuroscience, cardiology, psychology, and epidemiology. Throughout the text, historical notes give a sense of the development of the field and provide a perspective on how the techniques were developed and where they might lead. The overall approach is based largely on the analysis of trajectories in the state space, with emphasis on time-delay reconstruction of state-space trajectories. The goal of the book is to enable readers to apply these methods to their own research.
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