NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Grantee Submission7
Audience
Location
California1
Laws, Policies, & Programs
What Works Clearinghouse Rating
Does not meet standards1
Showing all 7 results Save | Export
Johns, Brendan T.; Jones, Michael N.; Mewhort, D. J. K. – Grantee Submission, 2019
To account for natural variability in cognitive processing, it is standard practice to optimize a model's parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model's fit to…
Descriptors: Language Processing, Models, Information Sources, Linguistics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Christopher R. Cox; Matthew J. Cooper Borkenhagen; Mark S. Seidenberg – Grantee Submission, 2019
Learning to read English requires learning the complex statistical dependencies between orthography and phonology. Previous research has focused on how these statistics are learned in neural network models provided with as much training as needed. Children, however, are expected to acquire this knowledge in a few years of school with only limited…
Descriptors: Second Language Learning, English (Second Language), Reading Instruction, Orthographic Symbols
Peter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences
Taboada Barber, Ana; Klauda, Susan Lutz; Stapleton, Laura – Grantee Submission, 2020
Previous studies offer mixed evidence regarding whether a unified model of reading comprehension predictors applies to Dual Language Learners (DLLs) and English Speakers (ESs), or whether distinctive models across language groups are empirically supported. The present study adds another dimension to this body of work by examining multiple reading…
Descriptors: Reading Comprehension, Bilingualism, Reading Motivation, Predictor Variables
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Beach, Kristen D.; O'Connor, Rollanda E. – Grantee Submission, 2015
We explored the usefulness of 1st and 2nd grade reading measures and responsiveness criteria collected within a Response-to-Intervention (RtI) framework for predicting Reading Disability (RD) in 3rd grade. We used existing data from 387 linguistically diverse students who had participated in a longitudinal RtI study. Model-based predictors of RD…
Descriptors: Elementary School Students, Emergent Literacy, Reading Fluency, Reading Tests
Crossley, Scott; McNamara, Danielle – Grantee Submission, 2013
This study explores the potential for automated indices related to speech delivery, language use, and topic development to model human judgments of TOEFL speaking proficiency in second language (L2) speech samples. For this study, 244 transcribed TOEFL speech samples taken from 244 L2 learners were analyzed using automated indices taken from…
Descriptors: English (Second Language), Language Proficiency, Language Tests, Speech Communication
Valentino, Rachel A.; Reardon, Sean F. – Grantee Submission, 2015
This paper investigates the differences in academic achievement trajectories from elementary through middle school among English Learner students in four different instructional programs: English Immersion, Transitional Bilingual, Developmental Bilingual, and Dual Immersion programs. Comparing students with the same parental preferences but who…
Descriptors: Elementary School Students, Middle School Students, Academic Achievement, English Language Learners