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~ Ebook Free Automated Evaluation of Text and Discourse with Coh-Metrix, by Danielle S. McNamara, Arthur C. Graesser, Philip M. McCarthy, Zhiqiang Cai

Ebook Free 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

Automated Evaluation of Text and Discourse with Coh-Metrix, by Danielle S. McNamara, Arthur C. Graesser, Philip M. McCarthy, Zhiqiang Cai



Automated Evaluation of Text and Discourse with Coh-Metrix, by Danielle S. McNamara, Arthur C. Graesser, Philip M. McCarthy, Zhiqiang Cai

Ebook Free 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

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

See all 3 customer reviews...

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