Advances in minimum description length :theory and applications

A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to psychology.The process of inductive inference--to infer general laws and principles from particular instances--is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (M…

An odyssey in learning and perception

"A Bradford book."Collection of articles in perception and action, published from the 1930's to the present.Collection of articles in perception and action, published from the 1930's to the present.OCLC-licensed vendor bibliographic record.

The Development of speech perception: the transition from speech sounds to sp…

This comprehensive collection of current research in the development of speech perception and perceptual learning documents the striking changes that take place both in early childhood and throughout life and speculates about the mechanisms responsible for those changes. The findings reported from this rich and active field address the role of growing linguistic knowledge and experience and dem…

An introduction to computational learning theory

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with th…

Perceptual learning

"A Bradford book."Perceptual learning is the specific and relatively permanent modification of perception and behavior following sensory experience. It encompasses parts of the learning process that are independent from conscious forms of learning and involve structural and/or functional changes in primary sensory cortices. A familiar example is the treatment for a "lazy" or crossed eye. Coveri…

Perspectives on imitation :from neuroscience to social science.

A state-of-the-art view of imitation from leading researchers in neuroscience and brain imaging, animal and developmental psychology, primatology, ethology, philosophy, anthropology, media studies, economics, sociology, education, and law.Leading researchers across a range of disciplines provide a state-of-the-art view of imitation, integrating the latest findings and theories with reviews of s…

New Digital Media and Learning as an Emerging Area and "Worked Examples" as O…

A proposal to move the academic area of digital media and learning toward more coherence. In this report, noted scholar James Paul Gee discusses the evolution of digital media and learning (DMAL) from its infancy as an “academic area” into a more organized field or coherent discipline. Distinguishing among academic areas, fields, disciplinary specializations, and thematic disciplines, Ge…

Quest to Learn: Developing the School for Digital Kids

The design for Quest to Learn, an innovative school in New York City that offers a “game-like” approach to learning. Quest to Learn, an innovative school for grades 6 to 12 in New York City, grew out of the idea that gaming and game design offer a promising new paradigm for curriculum and learning. The designers of Quest to Learn developed an approach to learning that draws from what gam…

Learning at Not-School: A Review of Study, Theory, and Advocacy for Education…

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9780262311984

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Measuring What Matters Most: Choice-Based Assessments for the Digital Age

An argument that choice-based, process-oriented educational assessments are more effective than static assessments of fact retrieval. If a fundamental goal of education is to prepare students to act independently in the world—in other words, to make good choices—an ideal educational assessment would measure how well we are preparing students to do so. Current assessments, however, focus …