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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
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
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
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
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
Peer reviewedMayer, Richard E.; Massa, Laura J. – Journal of Educational Psychology, 2003
Examines the hypothesis that some people are verbal learners and some people are visual learners. Presented a battery of 14 cognitive measures related to the visualizer-verbalizer dimension to 95 college students and then conducted correlational and factor analyses. Results have implications for how to conceptualize and measure individual…
Descriptors: Cognitive Ability, Cognitive Style, Learning Theories, Multiple Intelligences

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