Handbook of automated scoring theory into practice

著者

    • Yan, Duanli
    • Rupp, André A
    • Foltz, Peter W

書誌事項

Handbook of automated scoring theory into practice

edited by Duanli Yan, André A Rupp, Peter W Foltz

（Statistics in the social and behavioral sciences series）

Fla CRC Press, Taylor & Francis Group, c2020

  • : hardback

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

"Automated scoring engines [...] require a careful balancing of the contributions of technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The present handbook is evidence that the theories, methodologies, and underlying technology that surround automated scoring have reached maturity, and that there is a growing acceptance of these technologies among experts and the public." From the Foreword by Alina von Davier, ACTNext Senior Vice President Handbook of Automated Scoring: Theory into Practice provides a scientifically grounded overview of the key research efforts required to move automated scoring systems into operational practice. It examines the field of automated scoring from the viewpoint of related scientific fields serving as its foundation, the latest developments of computational methodologies utilized in automated scoring, and several large-scale real-world applications of automated scoring for complex learning and assessment systems. The book is organized into three parts that cover (1) theoretical foundations, (2) operational methodologies, and (3) practical illustrations, each with a commentary. In addition, the handbook includes an introduction and synthesis chapter as well as a cross-chapter glossary.

目次

Contents Foreword..................................................................................................................xi 1 The Past, Present, and Future of Automated Scoring..............................1 Peter W. Foltz, Duanli Yan, and Andre A. Rupp Part I: Theoretical Foundations 2 Cognitive Foundations of Automated Scoring........................................ 13 Malcolm I. Bauer and Diego Zapata-Rivera 3 Assessment Design with Automated Scoring in Mind.........................29 Kristen DiCerbo, Emily Lai, and Matthew Ventura 4 Human Scoring with Automated Scoring in Mind................................49 Edward W. Wolfe 5 Natural Language Processing for Writing and Speaking..................... 69 Aoife Cahill and Keelan Evanini 6 Multimodal Analytics for Automated Assessment................................93 Sidney K. D'Mello 7 International Applications of Automated Essay Scoring.................... 113 Mark D. Shermis 8 Public Perception and Communication around Automated Essay Scoring................................................................................................ 133 Scott W. Wood 9 An Evidentiary-Reasoning Perspective on Automated Scoring: Commentary on Part I................................................................................ 151 Robert J. Mislevy Part II: Operational Methodologies 10 Operational Human Scoring at Scale...................................................... 171 Kathryn L. Ricker-Pedley, Susan Hines, and Carolyn Connelly 11 System Architecture Design for Scoring and Delivery....................... 195 Sue Lottridge and Nick Hoefer 12 Design and Implementation for Automated Scoring Systems........................................................................................... 217 Christina Schneider and Michelle Boyer 13 Quality Control for Automated Scoring in Large-Scale Assessment.................................................................................................... 241 Dan Shaw, Brad Bolender, and Rick Meisner 14 A Seamless Integration of Human and Automated Scoring..............263 Kyle Habermehl, Aditya Nagarajan, and Scott Dooley 15 Deep Learning Networks for Automated Scoring Applications.......283 Saad M. Khan and Yuchi Huang 16 Validation of Automated Scoring Systems............................................ 297 Duanli Yan and Brent Bridgeman 17 Operational Considerations for Automated Scoring Systems: Commentary on Part II............................................................................... 319 David M. Williamson Part III: Practical Illustrations 18 Expanding Automated Writing Evaluation............................................ 329 Jill Burstein, Brian Riordan, and Daniel McCaffrey 19 Automated Writing Process Analysis.....................................................347 Paul Deane and Mo Zhang 20 Automated Scoring of Extended Spontaneous Speech.......................365 Klaus Zechner and Anastassia Loukina 21 Conversation-Based Learning and Assessment Environments.........383 Arthur C. Graesser, Xiangen Hu, Vasile Rus, and Zhiqiang Cai 22 Automated Scoring in Intelligent Tutoring Systems...........................403 Robert J. Mislevy, Duanli Yan, Janice Gobert, and Michael Sao Pedro 23 Scoring of Streaming Data in Game-Based Assessments...................423 Russell G. Almond 24 Automated Scoring in Medical Licensing..............................................445 Melissa J. Margolis and Brian E. Clauser 25 At the Birth of the Future: Commentary on Part III............................. 469 John T. Behrens 26 Theory into Practice: Reflections on the Handbook............................. 475 Andre A. Rupp, Peter W. Foltz, and Duanli Yan Glossary................................................................................................................489 References............................................................................................................ 501 Index......................................................................................................................553

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