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Springer - Learning Spaces: Interdisciplinary Applied Mathematics

30 black & white illustrations, 30 colou

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Description

Explore the mathematical foundations of educational technology with Learning Spaces: Interdisciplinary Applied Mathematics by Springer. This text provides a rigorous look at how learning spaces serve as essential structures for assessing student competence across various topics. By generalizing partially ordered sets and acting as special cases of knowledge spaces, these structures are examined through combinatorial properties and stochastic processes. The book bridges the gap between theoretical mathematics and practical application in the digital age. A real-world application is demonstrated through ALEKS, a web-based, artificially intelligent assessment and learning system used in mathematics and other scholarly fields. This resource is ideal for those studying the intersection of computer science, AI, and mathematics to understand how advanced algorithms drive modern educational tools.

Key Features

Provides a rigorous mathematical foundation for understanding practical systems of educational technology.

Examines learning spaces as generalizations of partially ordered sets and special cases of knowledge spaces.

Investigates mathematical structures from the perspectives of combinatorial properties and stochastic processes.

Offers a practical look at ALEKS, a web-based AI assessment and learning system for mathematics.

Connects advanced mathematical theory to real-world applications in artificial intelligence and scholarly assessment.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 September 2010
Listed Since
05 March 2009

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No barcode data available

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