9781138578272-1138578274-Handbook of Automated Scoring: Theory into Practice (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Handbook of Automated Scoring: Theory into Practice (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

ISBN-13: 9781138578272
ISBN-10: 1138578274
Edition: 1
Author: Duanli Yan, André A. Rupp, Peter W. Foltz
Publication date: 2020
Publisher: Chapman and Hall/CRC
Format: Hardcover 562 pages
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Book details

ISBN-13: 9781138578272
ISBN-10: 1138578274
Edition: 1
Author: Duanli Yan, André A. Rupp, Peter W. Foltz
Publication date: 2020
Publisher: Chapman and Hall/CRC
Format: Hardcover 562 pages

Summary

Handbook of Automated Scoring: Theory into Practice (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) (ISBN-13: 9781138578272 and ISBN-10: 1138578274), written by authors Duanli Yan, André A. Rupp, Peter W. Foltz, was published by Chapman and Hall/CRC in 2020. With an overall rating of 4.2 stars, it's a notable title among other AI & Machine Learning (Computer Science) books. You can easily purchase or rent Handbook of Automated Scoring: Theory into Practice (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

"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.

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