Bayesian Networks In Educational Assessment

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Bayesian Networks in Educational Assessment

Author : Russell G. Almond
Publisher : Springer
ISBN 13 : 1493921258
Total Pages : 678 pages
Book Rating : 4.4/5 (939 download)

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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 and published by Springer. This book was released on 2015-03-10 with total page 678 pages. 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.

Bayesian Networks in Educational Assessment

Author : Russell G. Almond
Publisher : Springer
ISBN 13 : 9781493921263
Total Pages : 662 pages
Book Rating : 4.9/5 (212 download)

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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 and published by Springer. This book was released on 2015-03-11 with total page 662 pages. 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

Author :
Publisher :
ISBN 13 :
Total Pages : 70 pages
Book Rating : 4.3/5 (21 download)

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Book Synopsis Bayes Nets in Educational Assessment by :

Download or read book Bayes Nets in Educational Assessment written by and published by . This book was released on 2000 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Risk Assessment and Decision Analysis with Bayesian Networks

Author : Norman Fenton
Publisher : CRC Press
ISBN 13 : 1351978977
Total Pages : 661 pages
Book Rating : 4.3/5 (519 download)

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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 and published by CRC Press. This book was released on 2018-09-03 with total page 661 pages. 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.

Bayesian Networks

Author : Olivier Pourret
Publisher : John Wiley & Sons
ISBN 13 : 9780470994542
Total Pages : 446 pages
Book Rating : 4.9/5 (945 download)

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Book Synopsis Bayesian Networks by : Olivier Pourret

Download or read book Bayesian Networks written by Olivier Pourret and published by John Wiley & Sons. This book was released on 2008-04-30 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing, natural sciences and engineering. Designed to help analysts, engineers, scientists and professionals taking part in complex decision processes to successfully implement Bayesian networks, this book equips readers with proven methods to generate, calibrate, evaluate and validate Bayesian networks. The book: Provides the tools to overcome common practical challenges such as the treatment of missing input data, interaction with experts and decision makers, determination of the optimal granularity and size of the model. Highlights the strengths of Bayesian networks whilst also presenting a discussion of their limitations. Compares Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees. Describes, for ease of comparison, the main features of the major Bayesian network software packages: Netica, Hugin, Elvira and Discoverer, from the point of view of the user. Offers a historical perspective on the subject and analyses future directions for research. Written by leading experts with practical experience of applying Bayesian networks in finance, banking, medicine, robotics, civil engineering, geology, geography, genetics, forensic science, ecology, and industry, the book has much to offer both practitioners and researchers involved in statistical analysis or modelling in any of these fields.

Knowing What Students Know

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309293227
Total Pages : 383 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Knowing What Students Know by : National Research Council

Download or read book Knowing What Students Know written by National Research Council and published by National Academies Press. This book was released on 2001-10-27 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education is a hot topic. From the stage of presidential debates to tonight's dinner table, it is an issue that most Americans are deeply concerned about. While there are many strategies for improving the educational process, we need a way to find out what works and what doesn't work as well. Educational assessment seeks to determine just how well students are learning and is an integral part of our quest for improved education. The nation is pinning greater expectations on educational assessment than ever before. We look to these assessment tools when documenting whether students and institutions are truly meeting education goals. But we must stop and ask a crucial question: What kind of assessment is most effective? At a time when traditional testing is subject to increasing criticism, research suggests that new, exciting approaches to assessment may be on the horizon. Advances in the sciences of how people learn and how to measure such learning offer the hope of developing new kinds of assessments-assessments that help students succeed in school by making as clear as possible the nature of their accomplishments and the progress of their learning. Knowing What Students Know essentially explains how expanding knowledge in the scientific fields of human learning and educational measurement can form the foundations of an improved approach to assessment. These advances suggest ways that the targets of assessment-what students know and how well they know it-as well as the methods used to make inferences about student learning can be made more valid and instructionally useful. Principles for designing and using these new kinds of assessments are presented, and examples are used to illustrate the principles. Implications for policy, practice, and research are also explored. With the promise of a productive research-based approach to assessment of student learning, Knowing What Students Know will be important to education administrators, assessment designers, teachers and teacher educators, and education advocates.

Innovative Assessment for the 21st Century

Author : Valerie J. Shute
Publisher : Springer Science & Business Media
ISBN 13 : 1441965300
Total Pages : 260 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Innovative Assessment for the 21st Century by : Valerie J. Shute

Download or read book Innovative Assessment for the 21st Century written by Valerie J. Shute and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s rapidly changing and information-rich world, students are not acquiring adequate knowledge and skills to prepare them for careers in mathematics, science, and technology with the traditional approach to assessment and instruction. New competencies (e.g., information communication and technology skills) are needed to deal successfully with the deluge of data. In order to accomplish this, new "educationally valuable" skills must be acknowledged and assessed. Toward this end, the skills we value and support for a society producing knowledge workers, not simply service workers, must be identified, together with methods for their measurement. Innovative Assessment for the 21st Century explores the faces of future assessment—and ask hard questions, such as: What would an assessment that captures all of the above attributes look like? Should it be standardized? What is the role of the professional teacher?

Addressing Inequities in Modern Educational Assessment

Author : Jorge Sainz
Publisher : Springer Nature
ISBN 13 : 3031458028
Total Pages : 214 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Addressing Inequities in Modern Educational Assessment by : Jorge Sainz

Download or read book Addressing Inequities in Modern Educational Assessment written by Jorge Sainz and published by Springer Nature. This book was released on 2023-11-14 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book focuses on the central and up-to-date issues that represent some of the most relevant challenges and limitations of International Learning Assessments (ILSAs). It specifically sheds light on the general effects of the discontinuation of face-to-face education on students at diverse academic levels during the COVID-19 pandemic. Through the lens of the most relevant experts of the field, it highlights the asymmetric effects on students based on family income, education level, or employment, imposing a heavy toll on those with less resources. It raises issues regarding the impact on the mental health of students and education professionals due to school closures. Modern education is shifting its focus from just scores to detailed, qualitative feedback. Such comprehensive insights help students identify both strengths and growth areas, making assessments more constructive. This book is aimed for researchers in the field of educational assessments, graduate and postgraduate students, policy makers, and anyone interested in making informed decisions regarding ILSAs. COVID-19 brought immense educational challenges, it also presented an unprecedented opportunity: to reassess and reform existing systems, steering towards assessments that are both fair and empowering.

Bayesian Networks

Author : Marco Scutari
Publisher : CRC Press
ISBN 13 : 1482225581
Total Pages : 243 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Bayesian Networks by : Marco Scutari

Download or read book Bayesian Networks written by Marco Scutari and published by CRC Press. This book was released on 2014-06-20 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the Foundations of Bayesian Networks—Core Properties and Definitions Explained Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the simplest notions and gradually increase in complexity. The authors also distinguish the probabilistic models from their estimation with data sets. The first three chapters explain the whole process of Bayesian network modeling, from structure learning to parameter learning to inference. These chapters cover discrete Bayesian, Gaussian Bayesian, and hybrid networks, including arbitrary random variables. The book then gives a concise but rigorous treatment of the fundamentals of Bayesian networks and offers an introduction to causal Bayesian networks. It also presents an overview of R and other software packages appropriate for Bayesian networks. The final chapter evaluates two real-world examples: a landmark causal protein signaling network paper and graphical modeling approaches for predicting the composition of different body parts. Suitable for graduate students and non-statisticians, this text provides an introductory overview of Bayesian networks. It gives readers a clear, practical understanding of the general approach and steps involved.

Bayesian Psychometric Modeling

Author : Roy Levy
Publisher : CRC Press
ISBN 13 : 131535697X
Total Pages : 434 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Bayesian Psychometric Modeling by : Roy Levy

Download or read book Bayesian Psychometric Modeling written by Roy Levy and published by CRC Press. This book was released on 2017-07-28 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics. Adopting a Bayesian approach can aid in unifying seemingly disparate—and sometimes conflicting—ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking. The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.

Learning Bayesian Networks

Author : Richard E. Neapolitan
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Learning Bayesian Networks by : Richard E. Neapolitan

Download or read book Learning Bayesian Networks written by Richard E. Neapolitan and published by Prentice Hall. This book was released on 2004 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning r Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. For expert systems developers and decision theorists.

Innovations in Bayesian Networks

Author : Dawn E. Holmes
Publisher : Springer Science & Business Media
ISBN 13 : 3540850651
Total Pages : 324 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Innovations in Bayesian Networks by : Dawn E. Holmes

Download or read book Innovations in Bayesian Networks written by Dawn E. Holmes and published by Springer Science & Business Media. This book was released on 2008-10-02 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research.

Intelligent Tutoring Systems

Author : Beverly Woolf
Publisher : Springer
ISBN 13 : 3540691324
Total Pages : 852 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Intelligent Tutoring Systems by : Beverly Woolf

Download or read book Intelligent Tutoring Systems written by Beverly Woolf and published by Springer. This book was released on 2008-06-29 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Tutoring Systems, ITS 2008, held in Montreal, Canada, in June 2008. The 63 revised full papers and 61 poster papers presented together with abstracts of 5 keynote talks were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on emotion and affect, tutor evaluation, student modeling, machine learning, authoring tools , tutor feedback and intervention, data mining, e-learning and Web-based ITS, natural language techniques and dialogue, narrative tutors and games, semantic Web and ontology, cognitive models, and collaboration.

Sociocognitive Foundations of Educational Measurement

Author : Robert J. Mislevy
Publisher : Routledge
ISBN 13 : 1317976517
Total Pages : 525 pages
Book Rating : 4.3/5 (179 download)

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Book Synopsis Sociocognitive Foundations of Educational Measurement by : Robert J. Mislevy

Download or read book Sociocognitive Foundations of Educational Measurement written by Robert J. Mislevy and published by Routledge. This book was released on 2018-04-09 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several key developments challenge the field of educational measurement today: demands for tests at larger scales with higher stakes, an improved understanding of how people develop capabilities, and new technologies for interactive digital assessments. Sociocognitive Foundations of Educational Measurement integrates new developments in educational measurement and educational psychology in order to provide researchers, testing professionals, and students with an innovative sociocognitive perspective on assessment. This comprehensive volume begins with a broad explanation of the sociocognitive perspective and the foundations of assessment, then provides a series of focused applications to major topics such as assessment arguments, validity, fairness, interactive assessment, and a conception of "measurement" in educational assessment. Classical test theory, item response theory, categorical models, mixture models, cognitive diagnosis models, and Bayesian networks are explored from the resulting perspective. Ideal for specialists in these areas, graduate students, developers, and scholars in both educational measurement and fields that contribute to a sociocognitive perspective, this book consolidates nearly a decade of research into a fresh perspective on educational measurement.

Introduction to Bayesian Networks

Author : Finn V. Jensen
Publisher : Springer
ISBN 13 : 9780387915029
Total Pages : 178 pages
Book Rating : 4.9/5 (15 download)

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Book Synopsis Introduction to Bayesian Networks by : Finn V. Jensen

Download or read book Introduction to Bayesian Networks written by Finn V. Jensen and published by Springer. This book was released on 1997-08-15 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disk contains: Tool for building Bayesian networks -- Library of examples -- Library of proposed solutions to some exercises.

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

Author : United States. Office of Educational Research and Improvement
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (725 download)

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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 and published by . This book was released on 2001* with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

User Modeling

Author : Anthony Jameson
Publisher : Springer
ISBN 13 :
Total Pages : 498 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis User Modeling by : Anthony Jameson

Download or read book User Modeling written by Anthony Jameson and published by Springer. This book was released on 1997-07-08 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: User modeling researchers look for ways of enabling interactive software systems to adapt to their users-by constructing, maintaining, and exploiting user models, which are representations of properties of individual users. User modeling has been found to enhance the effectiveness and/or usability of software systems in a wide variety of situations. Techniques for user modeling have been developed and evaluated by researchers in a number of fields, including artificial intelligence, education, psychology, linguistics, human-computer interaction, and information science. The biennial series of International Conferences on User Modeling provides a forum in which academic and industrial researchers from all of these fields can exchange their complementary insights on user modeling issues. The published proceedings of these conferences represent a major source of information about developments in this area.