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Zemach, Moran; Vakil, Eli; Lifshitz, Hefziba – Journal of Applied Research in Intellectual Disabilities, 2023
Background: Life expectancy is on rise and the intriguing question is: When does cognitive decline occur among adults with intellectual disability, compared to adults with typical development? This cross-sectional study examined cognitive performance of crystallised/fluid intelligence, working and long-term memory of adults with intellectual…
Descriptors: Adults, Intellectual Disability, Intelligence Tests, Verbal Learning
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Barutchu, Ayla; Fifer, Joanne M.; Shivdasani, Mohit N.; Crewther, Sheila G.; Paolini, Antonio G. – Child Development, 2020
This study assessed the developmental profile of unisensory and multisensory processes, and their contribution to children's intellectual abilities (8- and 11-year olds, N = 38, compared to adults, N = 19) using a simple audiovisual detection task and three incidental associative learning tasks with different sensory signals: visual-verbal with…
Descriptors: Multisensory Learning, Associative Learning, Intelligence Quotient, Cognitive Ability
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Cheryl Jialing Ho; Elisabeth Duursma; Jane S. Herbert – Infant and Child Development, 2023
This study examined verbal and non-verbal features of mother-infant shared book reading in Australia during the first year of life and explored the relationship between these features and infant cognition. Mother-infant dyads were observed in this cross-sectional study reading an unfamiliar book in a laboratory setting when infants were aged 6…
Descriptors: Foreign Countries, Infants, Mothers, Books
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Demetriou, Eleni A.; Pepper, Karen L.; Park, Shin Ho; Pellicano, Liz; Song, Yun Ju C.; Naismith, Sharon L.; Hickie, Ian B.; Thomas, Emma E.; Guastella, Adam J. – Autism: The International Journal of Research and Practice, 2021
Sex differences in autism may in part be understood by an atypical sex profile of executive function and non-executive function. In this study, we compared females and males with autism against non-autistic individuals on neuropsychological and self-report measures to examine whether any sex differences in executive function and non-executive…
Descriptors: Autism, Pervasive Developmental Disorders, Gender Differences, Executive Function
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Zhou, Ni; Wong, Hai Ming; McGrath, Colman – Journal of Applied Research in Intellectual Disabilities, 2019
Background: A visual-verbal integration model (VVIM) was used to train parents and their children with intellectual and developmental disabilities (IDD) to dispense a pea-sized amount of fluoridated toothpaste, aiming to balance the occurrence of dental caries and fluorosis. Method: Participants were 370 pairs of IDD preschool children and their…
Descriptors: Intellectual Disability, Intervention, Dental Health, Preschool Children
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Bielak, Allison A. M.; Anstey, Kaarin J. – Developmental Psychology, 2019
Intraindividual variability (IIV) in cognitive speed, or moment-to-moment changes in ability, is a developmental phenomenon indicative of neurological integrity that increases gradually across adulthood. Past research has shown that IIV negatively covaries with cognitive performance, in which higher IIV at one occasion is associated with poorer…
Descriptors: Cognitive Processes, Individual Differences, Cognitive Ability, Adult Development
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van Goch, Merel M.; McQueen, James M.; Verhoeven, Ludo – Scientific Studies of Reading, 2014
How do children use phonological knowledge about spoken language in acquiring literacy? Phonological precursors of literacy include phonological awareness, speech decoding skill, and lexical specificity (i.e., the richness of phonological representations in the mental lexicon). An intervention study investigated whether early literacy skills can…
Descriptors: Verbal Learning, Language Acquisition, Literacy Education, Lexicology
Marschark, Marc, Ed.; Knoors, Harry, Ed. – Oxford University Press, 2020
In recent years, the intersection of cognitive psychology, developmental psychology, and neuroscience with regard to deaf individuals has received increasing attention from a variety of academic and educational audiences. Both research and pedagogy have addressed questions about whether deaf children learn in the same ways that hearing children…
Descriptors: Deafness, Hearing Impairments, Learning Processes, Cognitive Ability
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Mesa, Vilma; Suh, Heejoo; Blake, Tyler; Whittemore, Timothy – PRIMUS, 2012
We present an analysis of several characteristics of examples in 10 college algebra textbooks used in community colleges or 4-year institutions. We analyzed the examples along four dimensions: cognitive demand, the responses expected, the use of representations, and the strategies available for verifying the correctness of the solutions. We found…
Descriptors: Algebra, Textbooks, Problem Solving, Graphing Calculators
Choi, Jean; Sardar, Shaila – Canadian Journal for the Scholarship of Teaching and Learning, 2011
Although specific cognitive abilities, cognitive style, and learning preferences are assumed to be inter-related, the empirical evidence supporting this assumption is mixed. Cognitive style refers to how individuals represent information, and learning preference refers to how individuals prefer the presentation of information (Mayer & Massa,…
Descriptors: Foreign Countries, College Students, Cognitive Ability, Cognitive Style
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DuPaul, George J.; Weyandt, Lisa L.; Rossi, Joseph S.; Vilardo, Brigid A.; O'Dell, Sean M.; Carson, Kristen M.; Verdi, Genevieve; Swentosky, Anthony – Journal of Attention Disorders, 2012
Objective: To evaluate stimulant medication on symptoms and functioning for college students with ADHD using double-blind, placebo-controlled, crossover design. Method: Participants included 24 college students with ADHD and 26 college students without psychopathology. Lisdexamfetamine dimesylate (LDX) was examined for ADHD participants over five…
Descriptors: College Students, Stimulants, Attention Deficit Disorders, Psychopathology
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Kolloffel, Bas – Computers & Education, 2012
A student might find a certain representational format (e.g., diagram, text) more attractive than other formats for learning. Computer technology offers opportunities to adjust the formats used in learning environments to the preferences of individual learners. The question addressed in the current study was: does the match between a student's…
Descriptors: Cognitive Style, Visual Learning, Verbal Learning, Visualization
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Douglas, Jacinta M. – Journal of Speech, Language, and Hearing Research, 2010
Purpose: This study was designed to explore the behavioral nature of pragmatic impairment following severe traumatic brain injury (TBI) and to evaluate the contribution of executive skills to the experience of pragmatic difficulties after TBI. Method: Participants were grouped into 43 TBI dyads (TBI adults and close relatives) and 43 control…
Descriptors: Head Injuries, Verbal Learning, Brain, Language Processing
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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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Hagen, John William – Young Children, 1971
Descriptors: Age Differences, Attention, Cognitive Ability, Mediation Theory
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