| Description |
1 online resource (xviii, 561 pages) |
| Series |
Statistics in the social and behavioral sciences series |
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Statistics in the social and behavioral sciences series.
|
| Contents |
Foreword / Alina von Davier -- The past, present, and future of automated scoring for complex tasks / Peter Foltz -- Cognitive foundations of automated scoring / Malcolm Bauer -- Assessment design with automated scoring in mind / Kristen DiCerbo -- Human rating with automated scoring in mind / Ed Wolfe -- Natural language processing for writing and speaking / Aoife Cahill -- Multimodal analytics for automated assessment / Sidney D'Mello -- International applications of automated essay scoring / Mark Shermis -- Public perception and communication around automated essay scoring / Scott Wood -- An evidentiary-reasoning perspective on automated scoring : commentary on section 1 / Bob Mislevy -- Operational human scoring at scale / Katie Pedley -- System architecture design for scoring and delivery / Sue Lottridge -- Design, development, and implementation of automated scoring systems / Christina Schneider -- Quality control for automated scoring in large-scale assessment contexts / Dan Shaw -- A continuous flow system for a seamless integration of automated and human scoring / Kyle Habermehl -- Deep learning networks for automated scoring applications / Saad Khan -- Validation of automated scoring systems / Duanli Yan -- Operational considerations for automated scoring systems : commentary on section 2 / David Williamson -- Expanding automated writing evaluation / Jill Burstein -- Automated writing process analysis / Paul Deane -- Automated scoring of extended spontaneous speech / Klaus Zechner -- Conversation-based learning and assessment environments / Art Graesser -- Automated scoring in intelligent tutoring systems / Bob Mislevy -- Scoring of streaming data in game-based assessment / Russell Almond -- Automated scoring in medical licensing / Melissa Margolis -- At the birth of the future : commentary on Section 3 / John Behrens -- Theory into practice : reflections on the handbook / Andre Rupp |
| Summary |
"Overview of the innovative automated scoring theory, latest development of computational methodologies, real world large-scale applications for automated scoring for complex tasks. Provides a scientifically grounded description of the key research and development efforts that it takes to move automated scoring systems into operational practice"-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Duanli Yan is Director of Data Analysis and Computational Research in the Psychometrics, Statistics, and Data Sciences area at the Educational Testing Service (ETS), and Adjunct Professor at Fordham University and Rutgers University. She is a co-author of Bayesian Networks in Educational Assessment and Computerized Adaptive and Multistage Testing with R, editor for Practical Issues and Solutions for Computerized Multistage Testing, and co-editor for Computerized Multistage Testing: Theory and Applications. Her awards include the 2016 AERA Division D Significant Contribution to Educational Measurement and Research Methodology Award. André A. Rupp is Research Director in the Psychometrics, Statistics, and Data Sciences area at the Educational Testing Service (ETS). He is co-author and co-editor of two award-winning interdisciplinary books titled Diagnostic Measurement: Theory, Methods, and Applications and The Handbook of Cognition and Assessment: Frameworks, Methodologies, and Applications. His synthesis- and framework-oriented research has appeared in a wide variety of prestigious peer-reviewed journals. He currently serves as the lead developer of the ITEMS professional development portal for NCME. Peter W. Foltz is Vice President in Pearson's AI and Products Solutions Organization and Research Professor at the University of Colorado's Institute of Cognitive Science. His work covers machine learning and natural language processing for educational and clinical assessments, discourse processing, reading comprehension and writing skills, 21st-century skills learning, and large-scale data analytics. He has authored more than 150 journal articles, book chapters, and conference papers, as well as multiple patents |
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Description based on online resource; title from digital title page (viewed on April 16, 2020) |
| Subject |
Educational tests and measurements -- Data processing
|
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Grading and marking (Students) -- Data processing
|
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COMPUTERS / Machine Theory
|
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MATHEMATICS / Probability & Statistics / General
|
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Educational tests and measurements -- Data processing
|
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Grading and marking (Students) -- Data processing
|
| Form |
Electronic book
|
| Author |
Yan, Duanli, editor.
|
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Rupp, André A., editor.
|
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Foltz, Peter W., editor.
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| LC no. |
2019046282 |
| ISBN |
9781351264808 |
|
135126480X |
|
9781351264785 |
|
1351264788 |
|
9781351264792 |
|
1351264796 |
|
9781351264778 |
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135126477X |
|
