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de Vries, Marieke; Verdam, Mathilde G. E.; Prins, Pier J. M.; Schmand, Ben A.; Geurts, Hilde M. – Autism: The International Journal of Research and Practice, 2018
Previously, a total of 121 children with an autism spectrum disorder (ASD) performed an adaptive working memory (WM)-training, an adaptive flexibility-training, or a non-adaptive control (mock)-training. Despite overall improvement, there were minor differences between the adaptive and mock-training conditions. Moreover, dropout was relatively…
Descriptors: Autism, Pervasive Developmental Disorders, Short Term Memory, Training
Langberg, Joshua M.; Molitor, Stephen J.; Oddo, Lauren E.; Eadeh, Hana-May; Dvorsky, Melissa R.; Becker, Stephen P. – Grantee Submission, 2017
Objective: The primary objective of this study was to evaluate the prevalence of multiple types of sleep problems in young adolescents with ADHD. Method: 262 adolescents comprehensively diagnosed with ADHD and their caregivers completed well-validated measures of sleep problems and daytime sleepiness. Participants also completed measures related…
Descriptors: Sleep, Early Adolescents, Attention Deficit Hyperactivity Disorder, Drug Therapy
Kelmanson, Igor A. – Early Child Development and Care, 2017
The study was performed in St. Petersburg in 2015 and comprised 34 children with diagnosed Down's syndrome (DS) aged 9-15 (mean 11) years (17 boys, 17 girls) who attended special schools. Control group was made up of 34 clinically healthy normal intelligence schoolchildren matched for age, sex and geographical distribution. The mothers were…
Descriptors: Sleep, Down Syndrome, Scores, Attention Deficit Hyperactivity Disorder
Zorrilla-Silvestre, Lorena; Presentación-Herrero, María Jesús; Gil-Gómez, Jesús – Electronic Journal of Research in Educational Psychology, 2016
Introduction: This study explored the variables of executive functioning (EF) that permitted the evaluation of EF both at home and at school. The objective was to compare the results of the evaluations of these functions in children aged 5 to 6 years, and see to what extent these variables predicted mathematics performance best. Method: Sixty-six…
Descriptors: Executive Function, Neuropsychology, Ecology, Predictor Variables
Norbury, Courtenay Frazier; Vamvakas, George; Gooch, Debbie; Baird, Gillian; Charman, Tony; Simonoff, Emily; Pickles, Andrew – Journal of Child Psychology and Psychiatry, 2017
Background: Language development has been characterised by significant individual stability from school entry. However, the extent to which trajectories of language growth vary in children with language disorder as a function of co-occurring developmental challenges is a question of theoretical import, with implications for service provision.…
Descriptors: Language Acquisition, Language Skills, Language Impairments, Developmental Disabilities
Geers, Anne E.; Nicholas, Johanna G. – Journal of Speech, Language, and Hearing Research, 2013
Purpose: In this article, the authors sought to determine whether the precise age of implantation (AOI) remains an important predictor of spoken language outcomes in later childhood for those who received a cochlear implant (CI) between 12 and 38 months of age. Relative advantages of receiving a bilateral CI after age 4.5 years, better…
Descriptors: Assistive Technology, Deafness, Language Acquisition, Speech Communication
Pae, Hye K.; Sevcik, Rose A. – International Electronic Journal of Elementary Education, 2011
This study examined the respective contribution of verbal working memory, which was operationalized as immediate digit and sentence recall, to bilingual children's reading fluency and comprehension in the first language (L1) and second language (L2). Fifty children from two international sites took part in this study: One group was English-Korean…
Descriptors: Foreign Countries, Short Term Memory, Verbal Ability, Bilingual Students
Johnson, Genevieve Marie – Educational Technology & Society, 2010
Johnson and Puplampu recently proposed the "ecological techno-subsystem", a refinement to Bronfenbrenner's theoretical organization of environmental influences on child development. The ecological techno-subsystem includes child interaction with both living (e.g., peers) and nonliving (e.g., hardware) elements of communication,…
Descriptors: Socioeconomic Status, Internet, Cognitive Development, Child Development