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Touloumakos, Anna K.; Vlachou, Evangelia; Papadatou-Pastou, Marietta – Mind, Brain, and Education, 2023
The term learning styles (LS) describes the notion that individuals have a preferred modality of learning (i.e., vision, audition, or kinesthesis) and that matching instruction to this modality results in optimal learning. During the last decades, LS has received extensive criticism, yet they remain a virtual truism within education. One of the…
Descriptors: Cognitive Style, Learning Modalities, Adults, Sign Language
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Roark, Casey L.; Lescht, Erica; Hampton Wray, Amanda; Chandrasekaran, Bharath – Developmental Psychology, 2023
Categories are fundamental to everyday life and the ability to learn new categories is relevant across the lifespan. Categories are ubiquitous across modalities, supporting complex processes such as object recognition and speech perception. Prior work has proposed that different categories may engage learning systems with unique developmental…
Descriptors: Children, Preadolescents, Adults, Learning Modalities
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Williams, Tannis MacBeth; Aiken, Leona S. – Developmental Psychology, 1977
Development of the relation between skills of visual and auditory pattern classification was studied at the second grade, sixth grade, and adult age levels using visual and auditory representations of the same abstract information. Results showed evidence of common processing of pattern class structure for the modalities, patterns, prototypes, and…
Descriptors: Adults, Age Differences, Auditory Perception, Classification
Lindeman, Mary L. – 1981
A study was conducted to determine the degree of relationship between eye movement patterns and cognitive mapping as determined by the Cognitive Style Mapping Instrument (CSMI). It was hypothesized that a high correlation exists between a predominance of visual and auditory eye movement patterns and the visual and auditory cognitive mapping styles…
Descriptors: Adults, Auditory Perception, Cognitive Processes, Cognitive Style
Posner, Michael I. – 1985
A general framework is outlined for describing the relationship of cognition to brain systems. The model provides for empirical investigations at many levels--computational, chronometric, spatial imaging, and cellular--and argues for the logical interrelationship of these areas of investigation. It is applied to selective visual-spatial attention…
Descriptors: Adults, Attention, Brain, Cognitive Processes