Learning Spaces - Interdisciplinary Applied Mathematics (Paperback, 2011 ed.)

Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. The various structures are investigated from the standpoints of combinatorial properties and stochastic processes. Leaning spaces have become the essential structures to be used in assessing students' competence of various topics. A practical example is offered by ALEKS, a Web-based, artificially intelligent assessment and learning system in mathematics and other scholarly fields. At the heart of ALEKS is an artificial intelligence engine that assesses each student individually and continously. The book is of interest to mathematically oriented readers in education, computer science, engineering, and combinatorics at research and graduate levels. Numerous examples and exercises are included, together with an extensive bibliography.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	November 2014
First published:	2011
Authors:	Jean-Claude Falmagne • Jean-Paul Doignon
Dimensions:	235 x 155 x 23mm (L x W x T)
Format:	Paperback
Pages:	417
Edition:	2011 ed.
ISBN-13:	978-3-642-42277-5
Categories:	Books > Social sciences > Education > Teaching of a specific subject Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Computer software packages > Multimedia Books > Social sciences > Education > Educational resources & technology > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-42277-2
Barcode:	9783642422775

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