Automated Evaluation of Text and Discourse With Coh-Metrix

Mcnamara, Danielle S.; Graesser, Arthur C.; Mccarthy, Philip M.; Cai, Zhiqiang

ISBN 10: 0521137292 / ISBN 13: 9780521137294

Published by Cambridge University Press, 2014

About this Item

Seller Inventory # 19979285-n

Bibliographic Details

• Title: Automated Evaluation of Text and Discourse With Coh-Metrix
• Publisher: Cambridge University Press
• Publication Date: 2014
• Language: English
• ISBN 10: 0521137292
• ISBN 13: 9780521137294
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Section I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Section II shifts to the practical arena, describing how to use Coh-Metrix and how to analyze, interpret, and describe results. Coh-Metrix opens the door to a new paradigm of research that coordinates studies of language, corpus analysis, computational linguistics, education, and cognitive science. This tool empowers anyone with an interest in text to pursue a wide array of previously unanswerable research questions.

About the Authors

Danielle S. McNamara is a professor in the Psychology Department and Senior Scientist in the Learning Sciences Institute at Arizona State University.

Arthur C. Graesser is a professor in the Department of Psychology and the Institute for Intelligent Systems at the University of Memphis and is a Senior Research Fellow in the Department of Education at the University of Oxford.

Philip McCarthy is an Assistant Professor at the University of Memphis and a member of the Institute for Intelligent Systems.

Zhiqiang Cai is a research assistant professor in the Institute for Intelligent Systems at the University of Memphis.