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Pengchong Zhang; Shi Zhang – Language Learning & Technology, 2025
Multimodal input can significantly support second language (L2) vocabulary learning and comprehension. However, very little research has examined how L2 learners, especially young learners, allocate attention when exposed to such input and whether learning from multimodal input can be explained by attention allocation. This study therefore…
Descriptors: Attention, Eye Movements, Vocabulary Development, Reading Comprehension
Peng Peng; Wei Wang; Marissa J. Filderman; Wenxiu Zhang; Lifeng Lin – Review of Educational Research, 2024
Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly…
Descriptors: Reading Comprehension, Reading Strategies, Reading Difficulties, Reading Instruction
Jack Dempsey; Kiel Christianson; Julie A. Van Dyke – Reading and Writing: An Interdisciplinary Journal, 2025
Typical print formatting provides no information regarding the linguistic features of a text, although texts vary considerably with respect to grammatical complexity and readability. Complex texts may be particularly challenging for individuals with weak language knowledge, such as English language learners. This paper investigates the usefulness…
Descriptors: Reading Comprehension, Mandarin Chinese, Korean, Native Language
Frederick J. Poole; Matthew D. Coss; Jody Clarke-Midura – Language Learning & Technology, 2025
This study explored the use of stealth assessments within a digital game to assess second language (L2) Chinese learners' reading comprehension. Log data tracking learners' in-game behaviors from a game designed for Chinese dual language immersion classrooms (Poole et al., 2022) were used to construct Bayesian Belief Networks to model reading…
Descriptors: Second Language Instruction, Second Language Learning, Reading Comprehension, Game Based Learning
Wagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
Forthmann, Boris; Förster, Natalie; Souvignier, Elmar – Journal of Intelligence, 2022
Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…
Descriptors: Learning Processes, Progress Monitoring, Robustness (Statistics), Bayesian Statistics
Kara, Yusuf; Kamata, Akihito; Potgieter, Cornelis; Nese, Joseph F. T. – Educational and Psychological Measurement, 2020
Oral reading fluency (ORF), used by teachers and school districts across the country to screen and progress monitor at-risk readers, has been documented as a good indicator of reading comprehension and overall reading competence. In traditional ORF administration, students are given one minute to read a grade-level passage, after which the…
Descriptors: Oral Reading, Reading Fluency, Reading Rate, Accuracy
Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics
Cutter, Michael G.; Martin, Andrea E.; Sturt, Patrick – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
We investigated whether readers use the low-level cue of proper noun capitalization in the parafovea to infer syntactic category, and whether this results in an early update of the representation of a sentence's syntactic structure. Participants read sentences containing either a subject relative or object relative clause, in which the relative…
Descriptors: Nouns, Phrase Structure, Syntax, Eye Movements
Uwimpuhwe, Germaine; Singh, Akansha; Higgins, Steve; Coux, Mickael; Xiao, ZhiMin; Shkedy, Ziv; Kasim, Adetayo – Journal of Experimental Education, 2022
Educational stakeholders are keen to know the magnitude and importance of different interventions. However, the way evidence is communicated to support understanding of the effectiveness of an intervention is controversial. Typically studies in education have used the standardised mean difference as a measure of the impact of interventions. This…
Descriptors: Program Effectiveness, Intervention, Multivariate Analysis, Bayesian Statistics
Chung-Fat-Yim, Ashley; Peterson, Jordan B.; Mar, Raymond A. – Reading and Writing: An Interdisciplinary Journal, 2017
Previous studies on discourse have employed a self-paced sentence-by-sentence paradigm to present text and record reading times. However, presenting discourse this way does not mirror real-world reading conditions; for example, this paradigm prevents regressions to earlier portions of the text. The purpose of the present study is to investigate…
Descriptors: Individualized Instruction, Pacing, Sentences, Story Reading
Clemens, Nathan H.; Simmons, Deborah; Simmons, Leslie E.; Wang, Huan; Kwok, Oi-man – Journal of Psychoeducational Assessment, 2017
This study sought to better understand the prevalence of concurrent and specific difficulties in reading fluency and vocabulary among adolescents with low reading comprehension. Latent class analysis (LCA) was used to identify a sample of 180 students in sixth through eighth grades with reading comprehension difficulties. A subsequent LCA…
Descriptors: Reading Difficulties, Reading Fluency, Vocabulary, Reading Comprehension
Scammacca, Nancy K.; Roberts, Greg; Vaughn, Sharon; Stuebing, Karla K. – Journal of Learning Disabilities, 2015
This meta-analysis synthesizes the literature on interventions for struggling readers in Grades 4 through 12 published between 1980 and 2011. It updates Scammacca et al.'s analysis of studies published between 1980 and 2004. The combined corpus of 82 study-wise effect sizes was meta-analyzed to determine (a) the overall effectiveness of reading…
Descriptors: Meta Analysis, Intervention, Reading Difficulties, Elementary Secondary Education
Stevens, John R.; Taylor, Alan M. – Journal of Educational and Behavioral Statistics, 2009
Meta-analysis is a frequent tool among education and behavioral researchers to combine results from multiple experiments to arrive at a clear understanding of some effect of interest. One of the traditional assumptions in a meta-analysis is the independence of the effect sizes from the studies under consideration. This article presents a…
Descriptors: Meta Analysis, Vertical Organization, Effect Size, Computation
Hansen, Eric G.; Mislevy, Robert J.; Steinberg, Linda S. – ETS Research Report Series, 2008
Accommodations play a key role in enabling individuals with disabilities to participate in the National Assessment of Educational Progress (NAEP) and other large-scale assessments. However, it can be difficult to know how accommodations affect the validity of results, thus making it difficult to determine which accommodations should be allowed.…
Descriptors: National Competency Tests, Disabilities, Reading Instruction, Mathematics Instruction
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