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Dore, Rebecca A.; Hassinger-Das, Brenna; Brezack, Natalie; Valladares, Tara L.; Paller, Alexis; Vu, Lien; Golinkoff, Roberta Michnick; Hirsh-Pasek, Kathy – Grantee Submission, 2018
One potential advantage of e-books is that unlike traditional books, preschoolers can read independent of an adult by using the audio narration feature. However, little research has investigated whether children comprehend a story's content after using an e-book with audio narration. The current study compares preschoolers' comprehension of an…
Descriptors: Parent Participation, Reading Aloud to Others, Parent Child Relationship, Electronic Publishing
Fuchs, Douglas; Hendricks, Emma; Walsh, Meagan E.; Fuchs, Lynn S.; Gilbert, Jennifer K.; Zhang Tracy, Wen; Patton, Samuel, III.; Davis, Nicole; Kim, Wooliya; Elleman, Amy M.; Peng, Peng – Grantee Submission, 2018
We conducted a 14-week experimental study of 2 versions of a relatively comprehensive RC intervention that involved 50 classroom teachers, 15 tutors, and 120 children drawn in equal proportions from grades 3 and 5 in 13 schools in a large urban school district. Students were randomly assigned in equal numbers to the 2 tutoring conditions and a…
Descriptors: Reading Comprehension, Multidimensional Scaling, Reputation, Reading Programs
Talwar, Amani; Tighe, Elizabeth L.; Greenberg, Daphne – Grantee Submission, 2018
This study explored the background knowledge (BK) and reading comprehension (RC) relationship for struggling adult readers. Using confirmatory factor analyses, a single-factor BK model exhibited better fit than a two-factor model separating academic knowledge and general information, which indicates that BK represents a unidimensional construct…
Descriptors: Knowledge Level, Reading Comprehension, Factor Analysis, Structural Equation Models
McCarthy, Kathryn S.; Guerrero, Tricia A.; Kent, Kevin M.; Allen, Laura K.; McNamara, Danielle S.; Chao, Szu-Fu; Steinberg, Jonathan; O'Reilly, Tenaha; Sabatini, John – Grantee Submission, 2018
Background knowledge is a strong predictor of reading comprehension; yet little is known about how different types of background knowledge affect comprehension. The study investigated the impacts of both domain and topic-specific background knowledge on students' ability to comprehend and learn from science texts. High school students (n = 3650)…
Descriptors: Knowledge Level, Reading Comprehension, High School Students, Pretests Posttests
Johnson, Evelyn S.; Moylan, Laura A.; Crawford, Angela; Zheng, Yuzhu – Grantee Submission, 2018
In this study, we developed a Reading for Meaning special education teacher observation rubric that details the elements of evidence-based comprehension instruction and tested its psychometric properties using many-faceted Rasch measurement (MFRM). Video observations of classroom instruction from 10 special education teachers across three states…
Descriptors: Scoring Rubrics, Reading Comprehension, Special Education Teachers, Test Construction
Bock, Allison M.; Cartwright, Kelly B.; McKnight, Patrick E.; Patterson, Allyson B.; Shriver, Amber G.; Leaf, Britney M.; Mohtasham, Mandana K.; Vennergrund, Katherine C.; Pasnak, Robert – Grantee Submission, 2018
Detecting a pattern within a sequence of ordered units, defined as patterning, is a cognitive ability that is important in learning mathematics and influential in learning to read. The present study was designed to examine relations between first-grade children's executive functions, patterning, and reading abilities, and to examine whether these…
Descriptors: Elementary School Students, Grade 1, Pattern Recognition, Reading Ability
Grimm, Ryan P.; Solari, Emily J.; McIntyre, Nancy S.; Denton, Carolyn A. – Grantee Submission, 2018
This study identified distinct, homogeneous latent profiles of at-risk (n = 141) and not at-risk (n = 149) first grade readers. Separate latent profile analyses were conducted with each subgroup using measures of phonological awareness, decoding, linguistic comprehension, and oral reading fluency. This study also examined which measures best…
Descriptors: Elementary School Students, At Risk Students, Grade 1, Reading Skills
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Likens, Aaron D.; McCarthy, Kathryn S.; Allen, Laura K.; McNamara, Danielle D. – Grantee Submission, 2018
Self-explanations are commonly used to assess on-line reading comprehension processes. However, traditional methods of analysis ignore important temporal variations in these explanations. This study investigated how dynamical systems theory could be used to reveal linguistic patterns that are predictive of self-explanation quality. High school…
Descriptors: Reading Comprehension, High School Students, Content Area Reading, Sciences
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McCarthy, Kathryn S.; Likens, Aaron D.; Kopp, Kristopher K.; Perret, Cecile A.; Watanabe, Micah; McNamara, Danielle S. – Grantee Submission, 2018
The current study explored relations between non-cognitive traits (Grit, Learning Orientation, Performance Orientation), reading skill, and performance across three experiments conducted in the context of two intelligent tutoring systems, iSTART and Writing Pal. Results showed that learning outcomes (comprehension score, holistic essay score) were…
Descriptors: Persistence, Individual Characteristics, Reading Skills, Performance
McIntyre, Nancy S.; Oswald, Tasha M.; Solari, Emily J.; Zajic, Matthew C.; Lerro, Lindsay E.; Hughes, Claire; Devine, Rory T.; Mundy, Peter C. – Grantee Submission, 2018
Background: Many individuals with autism spectrum disorders (ASD) exhibit social cognitive impairments in the development of theory of mind (ToM), or the ability to attribute mental states to oneself and others. ToM has been shown to relate to reading comprehension for children and adolescents with typical development (TD) and with ASD. This study…
Descriptors: Social Cognition, Reading Comprehension, Children, Adolescents
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Vaughn, Sharon; Martinez, Leticia R.; Williams, Kelly J.; Miciak, Jeremy; Fall, Anna-Maria; Roberts, Greg – Grantee Submission, 2018
This study examined the effects of Reading Intervention for Adolescents, a 2-year extensive reading intervention targeting current and former English learners identified as struggling readers based on their performance on the state accountability assessment. Students who enrolled at three participating urban high schools were randomly assigned to…
Descriptors: Intervention, Reading Programs, Adolescents, Reading Difficulties
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Chen, Su; Lippert, Anne; Shi, Genghu; Fang, Ying; Graesser, Arthur C. – Grantee Submission, 2018
This paper describes a novel automated disengagement tracing system (DTS) that detects mind wandering in students using AutoTutor, an Intelligent Tutoring System (ITS) with conversational agents. DTS is based on an unsupervised learning method and thus does not rely on any self-reports of disengagement. We analyzed the reading time and response…
Descriptors: Learner Engagement, Intelligent Tutoring Systems, Reading Comprehension, Adult Literacy
Shi, Genghu; Lippert, Anne M.; Shubeck, Keith; Fang, Ying; Chen, Su; Pavlik, Philip, Jr.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2018
Reading comprehension is often assessed by having students read passages and administering a test that assesses their understanding of the text. Shorter assessments may fail to give a full picture of comprehension ability while more thorough ones can be time consuming and costly. This study used data from a conversational intelligent tutoring…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Adults, Accuracy
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Fang, Ying; Shubeck, Keith; Lippert, Anne; Chen, Qinyu; Shi, Genghu; Feng, Shi; Gatewood, Jessica; Chen, Su; Cai, Zhiqiang; Pavlik, Philip; Frijters, Jan; Greenberg, Daphne; Graesser, Arthur – Grantee Submission, 2018
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. To do this, researchers must identify the learning patterns exhibited by those interacting with the system. In the present work, we use clustering analysis to capture learning patterns in over…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Adult Literacy
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Shi, Genghu; Hampton, Andrew J.; Chen, Su; Fang, Ying; Graesser, Arthur C. – Grantee Submission, 2018
We developed a version of AutoTutor that helps struggling adult learners improve their comprehension strategies through conversational agents. We hypothesized that the accuracy and time to answer questions during the conversation could be diagnostic of their mastery of different reading comprehension components: words, textbase, situation model,…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Reading Difficulties
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