Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments. Part I develops Bayes nets' foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking ...
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Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational assessments. Part I develops Bayes nets' foundations in assessment, statistics, and graph theory, and works through the real-time updating algorithm. Part II addresses parametric forms for use with assessment, model-checking techniques, and estimation with the EM algorithm and Markov chain Monte Carlo (MCMC). A unique feature is the volume's grounding in Evidence-Centered Design (ECD) framework for assessment design. This "design forward" approach enables designers to take full advantage of Bayes nets' modularity and ability to model complex evidentiary relationships that arise from performance in interactive, technology-rich assessments such as simulations. Part III describes ECD,situates Bayes nets as an integral component of a principled design process, and illustrates the ideas with an in-depth look at the BioMass project: An interactive, standards-based, web-delivered demonstration assessment of science inquiry in genetics. This book is both a resource for professionals interested in assessment and advanced students. Its clear exposition, worked-through numerical examples, and demonstrations from real and didactic applications provide invaluable illustrations of how to use Bayes nets in educational assessment. Exercises follow each chapter, and the online companion site provides a glossary, data sets and problem setups, and links to computational resources.
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Add this copy of Bayesian Networks in Educational Assessment to cart. $87.00, fair condition, Sold by HaroldsBooks rated 5.0 out of 5 stars, ships from Corydon, IA, UNITED STATES, published 2015 by Springer.
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Acceptable/No Jacket. 9781493921249 Ex-Library Ex-library with the usual features. Front hinge has a small crack at upper edge. The interior is clean and tight. Cover shows light wear and has a tiny tear at lower edge of spine. 666 pages.
Add this copy of Bayesian Networks in Educational Assessment to cart. $140.50, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2015 by Springer-Verlag New York Inc..
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New. Print on demand Contains: Illustrations, black & white, Illustrations, color. Statistics for Social and Behavioral Sciences . XXXIII, 662 p. 155 illus., 87 illus. in color. Intended for professional and scholarly audience.
Add this copy of Bayesian Networks in Educational Assessment (Statistics to cart. $154.22, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2015 by Springer.
Add this copy of Bayesian Networks in Educational Assessment (Statistics to cart. $202.84, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2015 by Springer.
