Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Language Acquisition | 2 |
Models | 2 |
Age | 1 |
Comprehension | 1 |
Computers | 1 |
Content Analysis | 1 |
English | 1 |
Form Classes (Languages) | 1 |
French | 1 |
German | 1 |
Intervention | 1 |
More ▼ |
Author
McNamara, Danielle S. | 2 |
Botarleanu, Robert-Mihai | 1 |
Crossley, Scott Andrew | 1 |
Dascalu, Mihai | 1 |
Graesser, Arthur C. | 1 |
Kulikowich, Jonna M. | 1 |
Watanabe, Micah | 1 |
Publication Type
Reports - Descriptive | 2 |
Journal Articles | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Flesch Reading Ease Formula | 2 |
Degrees of Reading Power Test | 1 |
Flesch Kincaid Grade Level… | 1 |
What Works Clearinghouse Rating
Botarleanu, Robert-Mihai; Dascalu, Mihai; Watanabe, Micah; McNamara, Danielle S.; Crossley, Scott Andrew – Grantee Submission, 2021
The ability to objectively quantify the complexity of a text can be a useful indicator of how likely learners of a given level will comprehend it. Before creating more complex models of assessing text difficulty, the basic building block of a text consists of words and, inherently, its overall difficulty is greatly influenced by the complexity of…
Descriptors: Multilingualism, Language Acquisition, Age, Models
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