Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 7 |
Descriptor
Reading Comprehension | 7 |
Natural Language Processing | 6 |
Individual Differences | 4 |
Accuracy | 3 |
Educational Technology | 3 |
Essays | 3 |
High School Students | 3 |
Reading Tests | 3 |
Scoring | 3 |
Statistical Analysis | 3 |
Adults | 2 |
More ▼ |
Source
Grantee Submission | 2 |
Discourse Processes: A… | 1 |
Journal of Educational Data… | 1 |
Journal of Learning Analytics | 1 |
Journal of Research in Reading | 1 |
Reading and Writing: An… | 1 |
Author
Publication Type
Reports - Research | 7 |
Journal Articles | 6 |
Speeches/Meeting Papers | 1 |
Education Level
High Schools | 3 |
Secondary Education | 3 |
Audience
Location
Arizona | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Gates MacGinitie Reading Tests | 3 |
Dale Chall Readability Formula | 1 |
Flesch Kincaid Grade Level… | 1 |
Flesch Reading Ease Formula | 1 |
What Works Clearinghouse Rating
Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai – Journal of Research in Reading, 2019
Background: Advances in natural language processing (NLP) and computational linguistics have facilitated major improvements on traditional readability formulas that aim at predicting the overall difficulty of a text. Recent studies have identified several types of linguistic features that are theoretically motivated and predictive of human…
Descriptors: Natural Language Processing, Readability, Reading Comprehension, Reading Rate
Kim, Minkyung; Crossley, Scott A.; Skalicky, Stephen – Reading and Writing: An Interdisciplinary Journal, 2018
This study examines whether lexical features and textual properties along with individual differences on the part of readers influence word processing times during second language (L2) reading comprehension. Forty-eight Spanish-speaking adolescent and adult learners of English read nine English passages in a self-paced word-by-word reading…
Descriptors: Individual Differences, Second Language Learning, Reading Comprehension, Reading Processes
Kopp, Kristopher J.; Johnson, Amy M.; Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2017
An NLP algorithm was developed to assess question quality to inform feedback on questions generated by students within iSTART (an intelligent tutoring system that teaches reading strategies). A corpus of 4575 questions was coded using a four-level taxonomy. NLP indices were calculated for each question and machine learning was used to predict…
Descriptors: Reading Comprehension, Reading Instruction, Intelligent Tutoring Systems, Reading Strategies
Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai; McNamara, Danielle S.; Kyle, Kristopher – Discourse Processes: A multidisciplinary journal, 2017
Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e.,…
Descriptors: Reading Processes, Reading Comprehension, Readability, Adults
Crossley, Scott A.; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Journal of Educational Data Mining, 2016
This study investigates a novel approach to automatically assessing essay quality that combines natural language processing approaches that assess text features with approaches that assess individual differences in writers such as demographic information, standardized test scores, and survey results. The results demonstrate that combining text…
Descriptors: Essays, Scoring, Writing Evaluation, Natural Language Processing
Snow, Erica L.; Allen, Laura K.; Jacovina, Matthew E.; Crossley, Scott A.; Perret, Cecile A.; McNamara, Danielle S. – Journal of Learning Analytics, 2015
Writing researchers have suggested that students who are perceived as strong writers (i.e., those who generate texts rated as high quality) demonstrate flexibility in their writing style. While anecdotally this has been a commonly held belief among researchers and educators, there is little empirical research to support this claim. This study…
Descriptors: Writing (Composition), Writing Strategies, Hypothesis Testing, Essays
Snow, Erica L.; Allen, Laura K.; Jacovina, Matthew E.; Crossley, Scott A.; Perret, Cecile A.; McNamara, Danielle S. – Grantee Submission, 2015
Writing researchers have suggested that students who are perceived as strong writers (i.e., those who generate texts rated as high quality) demonstrate flexibility in their writing style. While anecdotally this has been a commonly held belief among researchers and educators, there is little empirical research to support this claim. This study…
Descriptors: Writing (Composition), Writing Strategies, Hypothesis Testing, Essays