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Bayesian Networks in Educational Assessment

2015-03-10 Social Science
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Release : 2015-03-10
Genre : Social Science
Kind : eBook
Book Rating : 258/5 ( reviews)

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Book Synopsis Bayesian Networks in Educational Assessment by : Russell G. Almond

Download or read book Bayesian Networks in Educational Assessment written by Russell G. Almond. This book was released on 2015-03-10. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bayes Nets in Educational Assessment

2000 Educational evaluation
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Author :
Release : 2000
Genre : Educational evaluation
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Bayes Nets in Educational Assessment by :

Download or read book Bayes Nets in Educational Assessment written by . This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt:

Bayesian Networks in Educational Assessment

2015-03-11 Social Science
Download Bayesian Networks in Educational Assessment PDF Online Free

Author :
Release : 2015-03-11
Genre : Social Science
Kind : eBook
Book Rating : 263/5 ( reviews)

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Book Synopsis Bayesian Networks in Educational Assessment by : Russell G. Almond

Download or read book Bayesian Networks in Educational Assessment written by Russell G. Almond. This book was released on 2015-03-11. Available in PDF, EPUB and Kindle. Book excerpt: 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.

BAYES NETS IN EDUCATIONAL ASSESSMENT: WHERE DO THE NUMBERS COME FROM? CSE TECHNICAL REPORT... ED443881... U.S. DEPARTMENT OF EDUCATION.

2001*
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Release : 2001*
Genre :
Kind : eBook
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Book Synopsis BAYES NETS IN EDUCATIONAL ASSESSMENT: WHERE DO THE NUMBERS COME FROM? CSE TECHNICAL REPORT... ED443881... U.S. DEPARTMENT OF EDUCATION. by : United States. Office of Educational Research and Improvement

Download or read book BAYES NETS IN EDUCATIONAL ASSESSMENT: WHERE DO THE NUMBERS COME FROM? CSE TECHNICAL REPORT... ED443881... U.S. DEPARTMENT OF EDUCATION. written by United States. Office of Educational Research and Improvement. This book was released on 2001*. Available in PDF, EPUB and Kindle. Book excerpt:

Risk Assessment and Decision Analysis with Bayesian Networks

2018-09-03 Mathematics
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Release : 2018-09-03
Genre : Mathematics
Kind : eBook
Book Rating : 977/5 ( reviews)

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Book Synopsis Risk Assessment and Decision Analysis with Bayesian Networks by : Norman Fenton

Download or read book Risk Assessment and Decision Analysis with Bayesian Networks written by Norman Fenton. This book was released on 2018-09-03. Available in PDF, EPUB and Kindle. Book excerpt: Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more Introduces all necessary mathematics, probability, and statistics as needed Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications A dedicated website contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk software contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.

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