The two volumes of The Oxford Handbook of Music Education offer a comprehensive overview of the many facets of musical experience, behavior and development in relation to the diverse variety of educational contexts in which they occur. In these volumes, an international list of contributors update and redefine the discipline through fresh and innovative principles and approaches to music learning and teaching.
The MENC Handbook of Research on Music Learning, Volume 1: Strategies brings together the best and most current research on methods for music learning, focusing squarely on the professions empirical and conceptual knowledge of how students gain competence in music at various ages and in different contexts. The collection of chapters, written by the foremost figures active in the field, takes a broad theoretical perspective on current, critical areas of research, including music development, music listening and reading, motivation and self-regulated learning in music, music perception, and movement. The books companion volume, Applications, builds an extensive and solid position of practice upon the frameworks and research presented here. Throughout both volumes in this essential set, focus is placed on the musical knowledge and musical skills needed to perform, create, understand, reflect on, enjoy, value, and respond to music. A key point of emphasis rests on the relationship between music learning and finding meaning in music, and as music technology plays an increasingly important role in learning today, chapters move beyond exclusively formal classroom instruction into other forms of systematic learning and informal instruction. Either individually or paired with its companion Volume 2: Applications, this indispensable overview of this growing area of inquiry will appeal to students and scholars in Music Education, as well as front-line music educators in the classroom.
Whether social, cultural, or individual, the act of imagination always derives from a pre-existing context. For example, we can conjure an alien's scream from previously heard wildlife recordings or mentally rehearse a piece of music while waiting for a train. This process is no less true for the role of imagination in sonic events and artifacts. Many existing works on sonic imagination tend to discuss musical imagination through terms like compositional creativity or performance technique. In this two-volume Handbook, contributors shift the focus of imagination away from the visual by addressing the topic of sonic imagination and expanding the field beyond musical compositional creativity and performance technique into other aural arenas where the imagination holds similar power. Topics covered include auditory imagery and the neurology of sonic imagination; aural hallucination and illusion; use of metaphor in the recording studio; the projection of acoustic imagination in architectural design; and the design of sound artifacts for cinema and computer games.
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily
The two-volume Oxford Handbook of Music Performance provides a resource that musicians, scholars and educators will use as the most important and authoritative overview of work within the areas of music psychology and performance science. The 80 experts from 13 countries who prepared the 53 chapters in this handbook are leaders in the fields of music psychology, performance science, musicology, psychology, education and music education. Chapters in the Handbook provide a broad coverage of the area with considerable expansion of the topics that are normally covered in a resource of this type. Designed around eight distinct sections - Development and Learning, Proficiencies, Performance Practices, Psychology, Enhancements, Health & Wellbeing, Science, and Innovations - the range and scope of The Oxford Handbook of Music Performance is much wider than other publications through the inclusion of chapters from related disciplines such as performance science (e.g., optimizing performance, mental techniques, talent development in non-music areas), and education (e.g., human development, motivation, learning and teaching styles) as well as the attention given to emerging critical issues in the field (e.g., wellbeing, technology, gender, diversity, inclusion, identity, resilience and buoyancy, diseases, and physical and mental disabilities). Within each chapter, authors have selected what they consider to be the most important scientific and artistic material relevant to their topic. They begin their chapters by surveying theoretical views on each topic and then, in the final part of the chapter, highlight practical implications of the literature that performers will be able to apply within their daily musical lives.
Improvisation informs a vast array of human activity, from creative practices in art, dance, music, and literature to everyday conversation and the relationships to natural and built environments that surround and sustain us. The two volumes of the Oxford Handbook of Critical Improvisation Studies gather scholarship on improvisation from an immense range of perspectives, with contributions from more than sixty scholars working in architecture, anthropology, art history, computer science, cognitive science, cultural studies, dance, economics, education, ethnomusicology, film, gender studies, history, linguistics, literary theory, musicology, neuroscience, new media, organizational science, performance studies, philosophy, popular music studies, psychology, science and technology studies, sociology, and sound art, among others.
Research in developmental psychology--which examines the history, origins, and causes of behavior and age-related changes in behavior--seeks to construct a complex, multi-level characterization of behavior as it unfolds in time across a range of time scales, from the milliseconds of reaction time to the days and weeks of childhood, the decades of the human lifespan, and even beyond, to multiple generations. Behavior, in this view, is embedded within what is essentially a dynamic system of relations extending deep within individuals. Thorough and engaging, this handbook explores the impact of this research on what is now known about psychological development, from birth to biological maturity, and it highlights the extent to which the most cutting-edge developmental science reflects a new kind of intellectual synthesis: one that reveals how cultural, social, cognitive, neural, and molecular processes work together to yield human behavior and changes in human behavior. With insightful contributions from more than 50 of the world's leading developmental scientists, these two volumes will serve as an influential and informed text for students and as an authoritative desk reference for years to come.
The Handbook of Artificial Intelligence, Volume II focuses on the improvements in artificial intelligence (AI) and its increasing applications, including programming languages, intelligent CAI systems, and the employment of AI in medicine, science, and education. The book first elaborates on programming languages for AI research and applications-oriented AI research. Discussions cover scientific applications, teiresias, applications in chemistry, dependencies and assumptions, AI programming-language features, and LISP. The manuscript then examines applications-oriented AI research in medicine and education, including ICAI systems design, intelligent CAI systems, medical systems, and other applications of AI to education. The manuscript explores automatic programming, as well as the methods of program specification, basic approaches, and automatic programming systems. The book is a valuable source of data for computer science experts and researchers interested in conducting further research in artificial intelligence.
