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Akçakaya, Hatice; Jayakody, Dona M. P.; Dogan, Murat – Contemporary School Psychology, 2023
Short-term memory (STM) and working memory (WM) capacity, which are at the centre of information processing, are significant predictors of learning in both children with typical hearing (TH) and hearing loss. We compared the performance of long-term cochlear implant (CI) users with their typical hearing (TH) peers on verbal short-term memory…
Descriptors: Meta Analysis, Short Term Memory, Predictor Variables, Assistive Technology
Layes, Smail; Bouakkaz, Torkia – British Journal of Special Education, 2022
The present study explored whether phonological awareness (PA), morphological awareness (MA) and visual attention (VA) independently predict word and pseudoword reading accuracy in native Arabic-speaking children from grades 4 and 5. A total of 141 participants took part in the study, and were divided into two groups of readers with (n = 30) and…
Descriptors: Reading Processes, Semitic Languages, Syllables, Accuracy
Paz-Baruch, Nurit; Leikin, M.; Leikin, R. – Gifted and Talented International, 2022
Mathematical giftedness (MG) is an intriguing phenomenon, the nature of which has yet to be sufficiently explored. This study goes a step further in understanding how MG is related to expertise in mathematics (EM) and general giftedness (G). Cognitive testing was conducted among 197 high school students with different levels of G and of EM. Based…
Descriptors: Gifted, Mathematical Aptitude, Expertise, Factor Analysis
Vugs, Brigitte; Hendriks, Marc; Cuperus, Juliane; Knoors, Harry; Verhoeven, Ludo – Journal of Speech, Language, and Hearing Research, 2017
Purpose: This longitudinal study examined differences in the development of working memory (WM) between children with specific language impairment (SLI) and typically developing (TD) children. Further, it explored to what extent language at ages 7-8 years could be predicted by measures of language and/or WM at ages 4-5 years. Method: Thirty…
Descriptors: Longitudinal Studies, Short Term Memory, Children, Language Impairments
Kover, Sara T.; McCary, Lindsay M.; Ingram, Alexandra M.; Hatton, Deborah D.; Roberts, Jane E. – American Journal on Intellectual and Developmental Disabilities, 2015
Fragile X syndrome (FXS) is associated with significant language and communication delays, as well as problems with attention. This study investigated early language abilities in infants and toddlers with FXS (n = 13) and considered visual attention as a predictor of those skills. We found that language abilities increased over the study period of…
Descriptors: Genetic Disorders, Infants, Toddlers, Language Acquisition
Al Dahhan, Noor Z.; Kirby, John R.; Brien, Donald C.; Munoz, Douglas P. – Journal of Learning Disabilities, 2017
Naming speed (NS) refers to how quickly and accurately participants name a set of familiar stimuli (e.g., letters). NS is an established predictor of reading ability, but controversy remains over why it is related to reading. We used three techniques (stimulus manipulations to emphasize phonological and/or visual aspects, decomposition of NS times…
Descriptors: Dyslexia, Comparative Analysis, Eye Movements, Visual Stimuli
Tye-Murray, Nancy; Hale, Sandra; Spehar, Brent; Myerson, Joel; Sommers, Mitchell S. – Journal of Speech, Language, and Hearing Research, 2014
Purpose: The study addressed three research questions: Does lipreading improve between the ages of 7 and 14 years? Does hearing loss affect the development of lipreading? How do individual differences in lipreading relate to other abilities? Method: Forty children with normal hearing (NH) and 24 with hearing loss (HL) were tested using 4…
Descriptors: Hearing Impairments, Deafness, Comparative Analysis, Children
Do First Graders Make Efficient Use of External Number Representations? The Case of the Twenty-Frame
Obersteiner, Andreas; Reiss, Kristina; Ufer, Stefan; Luwel, Koen; Verschaffel, Lieven – Cognition and Instruction, 2014
External number representations are commonly used throughout the first years of instruction. The twenty-frame is a grid that contains two rows of 10 dots each, and within each row, dots are organized in two groups of five. The assumption is that children can make use of these structures for enumerating the dots, rather than relying on one-by-one…
Descriptors: Grade 1, Elementary School Students, Numbers, Number Concepts
Fair, Joseph; Flom, Ross; Jones, Jacob; Martin, Justin – Child Development, 2012
Six-month-olds reliably discriminate different monkey and human faces whereas 9-month-olds only discriminate different human faces. It is often falsely assumed that perceptual narrowing reflects a permanent change in perceptual abilities. In 3 experiments, ninety-six 12-month-olds' discrimination of unfamiliar monkey faces was examined. Following…
Descriptors: Primatology, Infants, Human Body, Experiments
Scerif, Gaia; Longhi, Elena; Cole, Victoria; Karmiloff-Smith, Annette; Cornish, Kim – Journal of Child Psychology and Psychiatry, 2012
Background: Fragile X syndrome (FXS) is an early diagnosed monogenic disorder, associated with a striking pattern of cognitive/attentional difficulties and a high risk of poor behavioural outcomes. FXS therefore represents an ideal model disorder to study prospectively the impact of early attention deficits on behaviour. Methods: Thirty-seven boys…
Descriptors: Visual Stimuli, Children, Males, Genetic Disorders
Beidas, Hanin; Khateb, Asaid; Breznitz, Zvia – Reading and Writing: An Interdisciplinary Journal, 2013
The question of which cognitive impairments are primarily associated with dyslexia has been a source of continuous debate. This study examined the cognitive profile of Hebrew-speaking compensated adult dyslexics and investigated whether their cognitive abilities accounted for a unique variance in their reading performance. Sixty-nine young adults…
Descriptors: Dyslexia, Profiles, Semitic Languages, Cognitive Ability
Oliver, Kimberly – ProQuest LLC, 2013
Autism spectrum disorders (ASDs) affect 1 in every 88 U.S. children. ASDs have been described as neurological and developmental disorders impacting visual, motor, and visual-motor integration (VMI) abilities that affect academic achievement (CDC, 2010). Forty-five participants (22 ASD and 23 Typically Developing [TD]) 8 to 14 years old completed…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Comparative Analysis
Kaufmann, Liane; Zieren, Nikola; Zotter, Sibylle; Karall, Daniela; Scholl-Burgi, Sabine; Haberlandt, Edda; Fimm, Bruno – Developmental Medicine & Child Neurology, 2010
Aim: The objective of this study was to investigate which attentional components are of predictive utility in differentiating children with attention-deficit-hyperactivity disorder, combined type (ADHD-C) from their peers without ADHD. Methods: Thirty-four children participated in the study: 17 males with ADHD-C (mean age 10y 4mo, SD 1y 9mo) and…
Descriptors: Reaction Time, Predictive Validity, Componential Analysis, Attention Deficit Hyperactivity Disorder
Alderson, R. Matt; Rapport, Mark D.; Hudec, Kristen L.; Sarver, Dustin E.; Kofler, Michael J. – Journal of Abnormal Child Psychology, 2010
The current study examined competing predictions of the working memory and behavioral inhibition models of ADHD. Behavioral inhibition was measured using a conventional stop-signal task, and central executive, phonological, and visuospatial working memory components (Baddeley 2007) were assessed in 14 children with ADHD and 13 typically developing…
Descriptors: Attention Deficit Hyperactivity Disorder, Inhibition, Short Term Memory, Predictor Variables
Hanson, Karen L.; Medina, Krista Lisdahl; Padula, Claudia B.; Tapert, Susan F.; Brown, Sandra A. – Journal of Child & Adolescent Substance Abuse, 2011
Because of ongoing neuromaturation, youth with chronic alcohol/substance use disorders (AUD/SUD) are at risk for cognitive decrements during young adulthood. We prospectively examined cognition over 10 years based on AUD/SUD history. Youth (N = 51) with no AUD/SUD history (n = 14), persisting AUD/SUD (n = 18), or remitted AUD/SUD (n = 19) were…
Descriptors: Visual Learning, Verbal Learning, Drug Use, Drinking
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