Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Age Differences | 9 |
Cognitive Style | 9 |
Visual Perception | 6 |
College Students | 3 |
Foreign Countries | 3 |
Perception Tests | 3 |
Sex Differences | 3 |
Tactual Perception | 3 |
Adolescents | 2 |
Cognitive Development | 2 |
Cognitive Processes | 2 |
More ▼ |
Source
British Journal of… | 1 |
CORE | 1 |
Computer Assisted Language… | 1 |
Developmental Science | 1 |
Journal of Experimental Child… | 1 |
Author
Publication Type
Reports - Research | 6 |
Journal Articles | 4 |
Speeches/Meeting Papers | 3 |
Reference Materials -… | 1 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Rod and Frame Test | 1 |
What Works Clearinghouse Rating
Ho, Shuen; Kozhevnikov, Maria – British Journal of Educational Psychology, 2023
Background: Previous research on cognitive styles (CSs) has often overlooked their complexity and the effect of the environment on their development. While research supports visual abilities as predictors of domain-specific creativity, there is a lack of studies on the predictive power of CS in relation to creativity beyond abilities. Aims: The…
Descriptors: Cognitive Style, Individual Differences, Environmental Influences, Creativity
Lee, Cynthia; Yeung, Alexander Seeshing; Ip, Tiffany – Computer Assisted Language Learning, 2016
Computer technology provides spaces and locales for language learning. However, learning style preference and demographic variables may affect the effectiveness of technology use for a desired goal. Adapting Reid's pioneering Perceptual Learning Style Preference Questionnaire (PLSPQ), this study investigated the relations of university students'…
Descriptors: Technology Uses in Education, Computer Uses in Education, Cognitive Style, Higher Education
Huyck, Julia Jones; Wright, Beverly A. – Developmental Science, 2011
Adults can improve their performance on many perceptual tasks with training, but when does the response to training become mature? To investigate this question, we trained 11-year-olds, 14-year-olds and adults on a basic auditory task (temporal-interval discrimination) using a multiple-session training regimen known to be effective for adults. The…
Descriptors: Adolescents, Visual Perception, Cognitive Style, Age Differences
Butzow, John W.; Schlenker, Richard M. – 1978
This study was designed to determine the relationship between the Lowenfeldian visual-haptic (perceptual) and the Piagetian concrete-formal (operational reasoning) continua. The study also investigated the relationship between age, sex, academic goal, academic preference, and a person's perceptual aptitude or intellectual reasoning abilities.…
Descriptors: Age Differences, Analysis of Covariance, Cerebral Dominance, Cognitive Processes
Puglisi, J. Thomas; Allegretti, Christine L. – 1981
Although numerous studies have indicated that older persons process visual information more slowly than younger persons, the precise nature of age-associated changes in the processing of visually presented information remains unclear. Older adults (N=18) and college students (N=18) performed a visual search task in which lists of words and…
Descriptors: Age Differences, Cognitive Development, Cognitive Processes, Cognitive Style
Bland, Laurel LeMieux – 1975
The study determined if a significant difference was demonstrated between American Indians and Caucasians on visual perception and recall tasks associated with cognitive function. It was hypothesized that a significant difference existed between scores obtained by Indian children enrolled in reservation schools and that of Caucasian children…
Descriptors: Age Differences, Alaska Natives, American Indian Reservations, American Indians

Morell, Jonathan A. – Journal of Experimental Child Psychology, 1976
This study was designed to examine the effects of age and sex on susceptibility to field dependence training and to determine whether the field dependence phenomenon is a function of cognitive style or of a general inability to make correct judgments because of confusing and inaccurate information. (MS)
Descriptors: Adolescents, Age Differences, Behavioral Science Research, Cognitive Style
Janowitz, Jeffrey M. – 1992
The Swassing-Barbe Modality Index (SBMI) uses visual, auditory, and tactile inputs, but only reconstructed output, to measure children's modality strengths. In this experiment, the SBMI's three input modalities were crossed with two output modalities (spoken and drawn) in addition to the reconstructed standard to result in nine treatment…
Descriptors: Academic Achievement, Achievement Tests, Age Differences, Aural Learning
Lawson, Thomas W. – CORE, 1977
Performance of 162 children, ages five to seven, on concept formation and perception tests indicated that enforced delay in responding minimally affected all reflective subjects and impulsive boys; impulsive girls improved. (Available in microfiche from: Carfax Publishing Company, Haddon House, Dorchester-on-Thames, Oxford 0X9 8JZ, England.) (CP)
Descriptors: Age Differences, Cognitive Development, Cognitive Style, Cognitive Tests