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Nese, Joseph F. T.; Alonzo, Julie; Biancarosa, Gina; Kamata, Akihito; Kahn, Joshua – Grantee Submission, 2017
Text complexity has received increased attention due to the CCSS, which call for students to comprehend increasingly more complex texts as they progress through grades. Quantitative text complexity (or readability) indices are based on text attributes (e.g., sentence lengths, and lexical, syntactic, & semantic difficulty), quantified by…
Descriptors: Reading Comprehension, Difficulty Level, Readability, Sentence Structure
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Graesser, Arthur C.; McNamara, Danielle S.; Kulikowich, Jonna M. – Educational Researcher, 2011
Computer analyses of text characteristics are often used by reading teachers, researchers, and policy makers when selecting texts for students. The authors of this article identify components of language, discourse, and cognition that underlie traditional automated metrics of text difficulty and their new Coh-Metrix system. Coh-Metrix analyzes…
Descriptors: Reading Teachers, Language Acquisition, Computers, Researchers