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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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Andic, Branko; Cvjeticanin, Stanko; Maricic, Mirjana; Steševic, Danijela – Journal of Biological Education, 2021
Although very rare, the existing research on the biological education of blind people indicates that teaching content is not fully in line with the sensory perception of that content by the blind. The aim of this study is to analyse the morphological details which the blind can register in multisensory plant research and to harmonise the…
Descriptors: Biology, Blindness, Plants (Botany), Visual Impairments
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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
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Berger, Carole; Donnadieu, Sophie – Journal of Experimental Child Psychology, 2006
This research explores the way in which young children (5 years of age) and adults use perceptual and conceptual cues for categorizing objects processed by vision or by audition. Three experiments were carried out using forced-choice categorization tasks that allowed responses based on taxonomic relations (e.g., vehicles) or on schema category…
Descriptors: Young Children, Adults, Perception, Concept Formation
Riege, Walter H.; Williams, M. Virtrue – 1980
The impact of age effects on nonverbal memory for auditory or tactual patterns has been largely neglected in research studies. The effects of age on nonverbal memory were investigated by comparing subjects (N=120), divided by age decades into six groups (N=20), through tests using visual, auditory, and tactual items which were resistant to verbal…
Descriptors: Adults, Age Differences, Cognitive Processes, Learning Modalities
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Stensrud, Robert; Stensrud, Kay – Perceptual and Motor Skills, 1983
The learning-style preferences of 95 public school teachers were assessed through the Barbe and Swassing Checklist of Observable Modality Strength Characteristics. For their own learning and teaching, teachers preferred the visual modality and least preferred the kinesthetic, suggesting that children may be aided or handicapped by teacher's…
Descriptors: Adults, Check Lists, Cognitive Style, Elementary Secondary Education
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