Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 7 |
Descriptor
Linguistics | 7 |
Natural Language Processing | 4 |
Correlation | 3 |
Essays | 3 |
Predictor Variables | 3 |
Scores | 3 |
Comparative Analysis | 2 |
Computer Mediated… | 2 |
Factor Analysis | 2 |
High School Students | 2 |
Intelligent Tutoring Systems | 2 |
More ▼ |
Source
Grantee Submission | 3 |
Written Communication | 2 |
Applied Psycholinguistics | 1 |
Creativity Research Journal | 1 |
Author
Publication Type
Reports - Research | 7 |
Journal Articles | 5 |
Speeches/Meeting Papers | 2 |
Tests/Questionnaires | 1 |
Education Level
High Schools | 3 |
Higher Education | 3 |
Postsecondary Education | 2 |
Grade 11 | 1 |
Grade 9 | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Gates MacGinitie Reading Tests | 2 |
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Crossley, Scott A.; Muldner, Kasia; McNamara, Danielle S. – Written Communication, 2016
Idea generation is an important component of most major theories of writing. However, few studies have linked idea generation in writing samples to assessments of writing quality or examined links between linguistic features in a text and idea generation. This study uses human ratings of idea generation, such as "idea fluency, idea…
Descriptors: College Freshmen, Freshman Composition, Essays, Concept Formation
Skalicky, Stephen; Crossley, Scott A.; McNamara, Danielle S.; Muldner, Kasia – Creativity Research Journal, 2017
Creativity is commonly assessed using divergent thinking tasks, which measure the fluency, flexibility, originality, and elaboration of participant output on a variety of different tasks. This study assesses the degree to which creativity can be identified based on linguistic features of participants' language while completing collaborative…
Descriptors: Creativity, Creative Thinking, Problem Solving, Linguistics
Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2015
This study builds upon previous work aimed at developing a student model of reading comprehension ability within the intelligent tutoring system, iSTART. Currently, the system evaluates students' self-explanation performance using a local, sentence-level algorithm and does not adapt content based on reading ability. The current study leverages…
Descriptors: Reading Comprehension, Reading Skills, Natural Language Processing, Intelligent Tutoring Systems
Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2014
In the current study, we utilize natural language processing techniques to examine relations between the linguistic properties of students' self-explanations and their reading comprehension skills. Linguistic features of students' aggregated self-explanations were analyzed using the Linguistic Inquiry and Word Count (LIWC) software. Results…
Descriptors: Natural Language Processing, Reading Comprehension, Linguistics, Predictor Variables
Guo, Liang; Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2013
This study explores whether linguistic features can predict second language writing proficiency in the Test of English as a Foreign Language (TOEFL iBT) integrated and independent writing tasks and, if so, whether there are differences and similarities in the two sets of predictive linguistic features. Linguistic features related to lexical…
Descriptors: English (Second Language), Linguistics, Second Language Learning, Writing Skills
Duran, Nicholas D.; Hall, Charles; McCarthy, Philip M.; McNamara, Danielle S. – Applied Psycholinguistics, 2010
The words people use and the way they use them can reveal a great deal about their mental states when they attempt to deceive. The challenge for researchers is how to reliably distinguish the linguistic features that characterize these hidden states. In this study, we use a natural language processing tool called Coh-Metrix to evaluate deceptive…
Descriptors: Computer Mediated Communication, Linguistics, Information Technology, Deception
Crossley, Scott A.; Weston, Jennifer L.; McLain Sullivan, Susan T.; McNamara, Danielle S. – Written Communication, 2011
In this study, a corpus of essays stratified by level (9th grade, 11th grade, and college freshman) are analyzed computationally to discriminate differences between the linguistic features produced in essays by adolescents and young adults. The automated tool Coh-Metrix is used to examine to what degree essays written at various grade levels can…
Descriptors: Writing (Composition), Sentence Structure, Nouns, Linguistics