Bayesian Networks in Educational Assessment

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Science & Nature, Mathematics
Cover of the book Bayesian Networks in Educational Assessment by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson ISBN: 9781493921256
Publisher: Springer New York Publication: March 10, 2015
Imprint: Springer Language: English
Author: Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
ISBN: 9781493921256
Publisher: Springer New York
Publication: March 10, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Solar Power Satellites by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Circuit Design for Reliability by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Drug Metabolism and Pharmacokinetics Quick Guide by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Early Mathematics Learning by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Hot Topics in Infection and Immunity in Children VI by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book International Handbook of Peace and Reconciliation by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Public Health Aspects of HIV/AIDS in Low and Middle Income Countries by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Green’s Functions in the Theory of Ordinary Differential Equations by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Random Signals and Processes Primer with MATLAB by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Handbook of Asian Criminology by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Semantic Analysis and Understanding of Human Behavior in Video Streaming by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Reoperative Pelvic Surgery by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Wafer-Level Chip-Scale Packaging by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book Sodium and Water Homeostasis by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
Cover of the book International Handbook of Occupational Therapy Interventions by Russell G. Almond, Robert J. Mislevy, Duanli Yan, Linda S. Steinberg, David M. Williamson
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy