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Automated Essay Scoring (A Cross-disciplinary Perspective)

List Price: $72.99
SKU:
9781138964211
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  • Product Details

    Author:
    Mark D. Shermis, Jill C. Burstein
    Format:
    Paperback
    Pages:
    256
    Publisher:
    Taylor & Francis (January 20, 2016)
    Language:
    English
    ISBN-13:
    9781138964211
    Weight:
    16oz
    Dimensions:
    6" x 9"
    File:
    TAYLORFRANCIS-TayFran_260710050308415-20260710.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $72.99
    Case Pack:
    1
    As low as:
    $69.34
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Pub Discount:
    30
    Imprint:
    Routledge
    Audience:
    Professional and scholarly
    Country of Origin:
    United States
  • Overview

    This new volume is the first to focus entirely on automated essay scoring and evaluation. It is intended to provide a comprehensive overview of the evolution and state-of-the-art of automated essay scoring and evaluation technology across several disciplines, including education, testing and measurement, cognitive science, computer science, and computational linguistics.

    The development of this technology has led to many questions and concerns. Automated Essay Scoring attempts to address some of these questions including:
    *How can automated scoring and evaluation supplement classroom instruction?
    *How does the technology actually work?
    *Can it improve students' writing?
    *How reliable is the technology?
    *How can these computing methods be used to develop evaluation tools?
    *What are the state-of the-art essay evaluation technologies and automated scoring systems?

    Divided into four parts, the first part reviews the teaching of writing and how computers can contribute to it. Part II analyzes actual automated essay scorers including e-raterTM, Intellimetric, and the Intelligent Essay Assessor. The third part analyzes related psychometric issues, and the final part reviews innovations in the field.

    This book is ideal for researchers and advanced students interested in automated essay scoring from the fields of testing and measurement, education, cognitive science, language, and computational linguistics.