Ebook Automated Evaluation of Text and Discourse with Coh-Metrix, by Danielle S. McNamara, Arthur C. Graesser, Philip M. McCarthy, Zhiqiang Cai
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Automated Evaluation of Text and Discourse with Coh-Metrix, by Danielle S. McNamara, Arthur C. Graesser, Philip M. McCarthy, Zhiqiang Cai
Ebook Automated Evaluation of Text and Discourse with Coh-Metrix, by Danielle S. McNamara, Arthur C. Graesser, Philip M. McCarthy, Zhiqiang Cai
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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.
- Sales Rank: #1190219 in Books
- Published on: 2014-03-31
- Released on: 2014-03-31
- Original language: English
- Number of items: 1
- Dimensions: 8.98" h x .79" w x 5.98" l, 1.00 pounds
- Binding: Paperback
- 289 pages
About the Author
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.
Most helpful customer reviews
1 of 1 people found the following review helpful.
It is great
By Tai Wang
It is great. And just right on time. This helps me a lot to look into it. I love it.
0 of 0 people found the following review helpful.
Great Test, Excellent Book, and Superb Service
By bookworm
I think Coh-Metrix is an absolutely excellent way to measure text difficulty and, while it has its limits--like any test-- it goes way beyond any standard methods of determining which texts are difficult and which ones are not. This book offers a clear explanation of the test's origins and methodology.
0 of 1 people found the following review helpful.
Five Stars
By YEH Chinyaun
usefull
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