Application of artificial intelligence to assessment

"The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerize...

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Bibliographic Details
Other Authors Jiao, Hong, 1968- (Editor), Lissitz, Robert W. (Editor)
Format Electronic eBook
LanguageEnglish
Published Bingley, U.K : Emerald Publishing Limited : Information Age Publishing, inc., [2020]
SeriesMARCES book series.
Subjects
Educational tests and measurements > Data processing.
Artificial intelligence > Educational applications.
Examinations > Design and construction.
Computer adaptive testing.
Education > Testing & Measurement.
Educational equipment and technology, computer-aided learning (CAL)
Education: examinations and assessment.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781806605712
DOI10.1108/9781641139533
Physical Description1 online resource (218 pages) : illustrations

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Table of Contents:
  • Augmented intelligence and the future of item development / Mark J. Gierl, Hollis Lai, and Donna Matovinovic
  • Reconceptualizing items : from clones and automatic item generation to task model families / Richard Luecht and Matthew Burke
  • Artificial intelligence for scoring oral reading Fluency / Jared Bernstein, Jian Cheng, Jennifer Balogh, and Ryan Downey
  • Natural language processing and the literacy Challenge / Jill Burstein
  • Practical considerations for using AI models in automated scoring of writing / Peter W. Foltz
  • Item pool design and assembly : the state of the art / Jeffrey M. Patton and Ray Y. Yan
  • Automated test assembly : case studies in classical test theory and item response theory / Siang Chee Chuah, Donovan Hare, Luz Bay, and Thomas Proctor
  • Multistage testing in practice / Duanli Yan
  • An intelligent CAT that can deal with disengaged test taking / Steven L. Wise
  • Differences in the amount of adaptation exhibited by various computerized adaptive testing designs / Mark D. Reckase, Unhee Ju, and Sewon Kim
  • Automatic item generation with machine learning techniques : a pathway to intelligent assessments / Jaehwa Choi.

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