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Showing 1 to 15 of 23 results Save | Export
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Caroline F. Rowland; Amy Bidgood; Gary Jones; Andrew Jessop; Paula Stinson; Julian M. Pine; Samantha Durrant; Michelle S. Peter – Language Learning, 2025
A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…
Descriptors: Vocabulary Development, Comparative Analysis, Computational Linguistics, Language Skills
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Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
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Yanagisawa, Akifumi; Webb, Stuart – Studies in Second Language Acquisition, 2022
The present meta-analysis aimed to improve on Involvement Load Hypothesis (ILH) by incorporating it into a broader framework that predicts incidental vocabulary learning. Studies testing the ILH were systematically collected and 42 studies meeting our inclusion criteria were analyzed. The model-selection approach was used to determine the optimal…
Descriptors: Cognitive Ability, Vocabulary Development, Meta Analysis, Linguistic Theory
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Zou, Di; Xie, Haoran; Rao, Yanghui; Wong, Tak-Lam; Wang, Fu Lee; Wu, Qingyuan – International Journal of Distance Education Technologies, 2017
The world has encountered and witnessed the great popularity of various emerging e-learning resources such as massive open online courses (MOOCs), textbooks and videos with the development of the big data era. It is critical to understand the characteristics of users to assist them to find desired and relevant learning resources in such a large…
Descriptors: Comparative Analysis, Vocabulary Development, Predictor Variables, Prior Learning
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Janciauskas, Marius; Chang, Franklin – Cognitive Science, 2018
Language learning requires linguistic input, but several studies have found that knowledge of second language (L2) rules does not seem to improve with more language exposure (e.g., Johnson & Newport, 1989). One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we…
Descriptors: Linguistic Input, Second Language Learning, Age Differences, Syntax
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Ober, David R.; Beekman, John A. – Journal of Education and Training Studies, 2016
Cumulative vocabulary models for infants and toddlers were developed from models of learning that predict trajectories associated with low, average, and high vocabulary growth rates (14 to 46 months). It was hypothesized that models derived from rates of learning mirror the type of exchanges provided to infants and toddlers by parents and…
Descriptors: Vocabulary Development, Toddlers, Infants, Parents
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Tibi, Sana; Kirby, John R. – Scientific Studies of Reading, 2018
Wolf and Bowers (1999) described a model in which phonological awareness (PA) and naming speed (NS) make independent contributions to reading ability. We tested this model in a sample of 201 Grade 3 Arabic-speaking children in Dubai, United Arab Emirates. Measures of general cognitive ability, vocabulary, PA, NS, word reading, and reading…
Descriptors: Phonological Awareness, Vocabulary Development, Models, Semitic Languages
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Sailor, Kevin M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Several recent studies have explored the applicability of the preferential attachment principle to account for vocabulary growth. According to this principle, network growth can be described by a process in which existing nodes recruit new nodes with a probability that is an increasing function of their connectivity within the existing network.…
Descriptors: Vocabulary Development, Age, Language Acquisition, Semantics
Riestenberg, Katherine J. – ProQuest LLC, 2017
Second language (L2) learners of tone languages do not perceive and produce the different tones of the target language with equal ease. The most common explanation for these asymmetries is that acoustically salient tones are the easiest to learn. An alternative explanation is that tones are easiest to learn when they are highly frequent in the…
Descriptors: Second Language Learning, Intonation, Linguistic Input, Acoustics
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Steacy, Laura M.; Kearns, Devin M.; Gilbert, Jennifer K.; Compton, Donald L.; Cho, Eunsoo; Lindstrom, Esther R.; Collins, Alyson A. – Journal of Educational Psychology, 2017
Models of irregular word reading that take into account both child- and word-level predictors have not been evaluated in typically developing children and children with reading difficulty (RD). The purpose of the present study was to model individual differences in irregular word reading ability among 5th grade children (N = 170), oversampled for…
Descriptors: Individual Differences, Word Recognition, Word Frequency, Predictor Variables
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Cervetti, Gina N.; Hiebert, Elfrieda H.; Pearson, P. David; McClung, Nicola A. – Journal of Literacy Research, 2015
This study examines, within the domain of science, the characteristics of words that predict word knowledge and word learning. The authors identified a set of word characteristics--length, part of speech, polysemy, frequency, morphological frequency, domain specificity, and concreteness--that, based on earlier research, were prime candidates to…
Descriptors: Word Recognition, Science Instruction, Knowledge Level, Learning Processes
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Tellings, Agnes; Coppens, Karien; Gelissen, John; Schreuder, Rob – Applied Psycholinguistics, 2013
Often, the classification of words does not go beyond "difficult" (i.e., infrequent, late-learned, nonimageable, etc.) or "easy" (i.e., frequent, early-learned, imageable, etc.) words. In the present study, we used a latent cluster analysis to divide 703 Dutch words with scores for eight word properties into seven clusters of words. Each cluster…
Descriptors: Vocabulary Development, Multivariate Analysis, Elementary School Students, Grade 2
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Björn, Piia M.; Kakkuri, Irma; Leppänen, Paavo H. T. – Early Child Development and Care, 2014
This study investigated the potential interrelationship between parental (maternal) and expert assessments of the expressive and receptive language skills of 12- to 18-month-old children. The language activities of 27 children were monitored by their mothers (MCDI scale: Lyytinen, 2000. "Varhaisen kommunikaation ja kielen kehityksen…
Descriptors: Foreign Countries, Toddlers, Expressive Language, Receptive Language
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Zucker, Tricia A.; Solari, Emily J.; Landry, Susan H.; Swank, Paul R. – Early Education and Development, 2013
Research Findings: Multitiered instructional frameworks are becoming a recommended approach for enhancing prevention and intervention efforts targeting early literacy and language skills. However, few studies to date have studied the feasibility of tiered oral language interventions before kindergarten; therefore, this pilot study explored the…
Descriptors: Intervention, Prevention, Oral Language, Vocabulary Development
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Lervag, Arne; Aukrust, Vibeke Grover – Journal of Child Psychology and Psychiatry, 2010
Background: This study examines the role of decoding and vocabulary skills as longitudinal predictors of reading comprehension in young first (L1) and second (L2) language learners. Methods: Two-group latent growth models were used to assess differences in growth and predictions of growth between the 198 L1 and 90 L2 language learners. Results: L1…
Descriptors: Reading Comprehension, Vocabulary Skills, Vocabulary Development, Second Language Learning
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