Automated Essay Scoring - A Cross-disciplinary Perspective (Hardcover)

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.

General

Imprint:	Routledge Member of the Taylor and Francis Group
Country of origin:	United States
Release date:	December 2002
First published:	2003
Editors:	Mark D. Shermis • Jill C. Burstein
Dimensions:	229 x 152 x 19mm (L x W x T)
Format:	Hardcover
Pages:	254
ISBN-13:	978-0-8058-3973-9
Categories:	Books > Language & Literature > Language teaching & learning (other than ELT) > Specific skills > Writing skills Books > Social sciences > Education > Organization & management of education > Examinations & assessment Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	0-8058-3973-9
Barcode:	9780805839739

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