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Frank, Bernard M.; Davis, J. Kent – Journal of Educational Psychology, 1982
The effect of field independence-dependence match or mismatch within the context of a communication task was examined. Results showed field-independent matched dyads performed better than field-dependent matched dyads, with the mismatched conditions' performance falling between the matched ones. (Author/GK)
Descriptors: Aptitude Treatment Interaction, Cognitive Style, Higher Education, Student Teacher Relationship
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Holland, Richard P. – Journal of Special Education, 1982
Procedures for identifying learning styles are described and possible cultural influences on learning styles are noted. Practical guidelines for instructional placement are suggested. (Author/DB)
Descriptors: Cognitive Style, Cultural Influences, Disabilities, Elementary Secondary Education
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Tennyson, Robert D. – American Educational Research Journal, 1981
Findings from two experiments showed that students can effectively manage their learning needs in a computer-assisted instructional (CAI) system when provided continuous, updated advisement information about their achievement (diagnosis) and instructional needs (prescription) in relation to the objective. (Author/DWH)
Descriptors: Cognitive Style, Computer Assisted Instruction, Independent Study, Learning
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McLeod, Douglas B.; Briggs, John T. – Journal for Research in Mathematics Education, 1980
The interaction of two aptitude variables, field independence and general reasoning, with treatments that differed in sequence of instruction, was investigated using either an inductive or deductive appraoch to the learning of properties of equivalence relations. Significant interactions were found. (Author/MK)
Descriptors: Cognitive Style, College Mathematics, Deduction, Educational Research
Langdon, Danny G. – Instructional Innovator, 1981
Encourages teachers and trainers to investigate instructional design alternatives in order to find approaches that fit varied student learning needs and constraints. The Instructional Design Library, a series of 40 guides to different types of designs, is recommended as one avenue for exploring a systematic approach to instruction. (MER)
Descriptors: Cognitive Style, Instructional Design, Material Development, Systems Approach
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Spiro, Rand J.; Anderson, Richard C. – American Educational Research Journal, 1981
Ausubel asserts that his work is impugned in various ways in Anderson, Spiro, and Anderson. This paper argues that a more careful reading of the original paper obviates most of Ausubel's concerns. (Author/GK)
Descriptors: Advance Organizers, Cognitive Processes, Cognitive Style, Learning Theories
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Lusk, Edward J.; Wright, Haviland – Perceptual and Motor Skills, 1981
The Group Embedded Figures Test was administered to 416 randomly selected college students in science, liberal arts, business, or mathematics classes. No sex differences in performance or improvement were found when differences in curriculum were taken into account. (SJL)
Descriptors: Adults, Cognitive Style, College Students, Correlation
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Lotwick, G. H.; And Others – Perceptual and Motor Skills, 1981
Subjects, all full-time British polytechnic students studying engineering, science and education (91 males, 27 females), took the modified rod-and-frame test. Higher scores, indicating greater field dependence among females than males, were obtained, but correlations were much lower for Series Three than for Series One and Two. (Author/SJL)
Descriptors: Cognitive Style, College Students, Postsecondary Education, Sex Differences
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Linn, Marcia C.; Kyllonen, Patrick – Journal of Educational Psychology, 1981
The relationship between cognitive restructuring and perception of the upright (tests of which may be used to measure field dependence-independence [FDI]) was investigated. Data analysis of 34 tests administered to high school seniors, including 12 measures of FDI, resulted in five dimensions, including two associated with FDI. (Author/AEF)
Descriptors: Cognitive Style, Cognitive Tests, High School Seniors, High Schools
Dunn, Rita – Principal, 1981
Discusses the environmental, sociological, physical, and psychological elements of learning styles as well as how to put learning styles to work in the instructional program. (WD)
Descriptors: Cognitive Development, Cognitive Style, Environmental Influences, Physical Characteristics
Alvino, James – Principal, 1981
Programs for the gifted typically offer an increased workload or linear acceleration of subject matter. Gifted children really need a qualitatively different curriculum that considers their preferred learning styles. This article discusses relevant research findings and suggests ways of incorporating them into a gifted program. (WD)
Descriptors: Cognitive Style, Curriculum Development, Differences, Elementary Secondary Education
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Kobelski, Pamela; Reichel, Mary – Journal of Academic Librarianship, 1981
Discusses the necessity for conceptual frameworks as organizers of the content of bibliographic instruction, argues that such frameworks provide a necessary basis for generalizable and meaningful learning, and reviews seven conceptual frameworks for use in bibliographic instruction. Twenty-one references are listed. (RAA)
Descriptors: Bibliographies, Cognitive Style, Concept Formation, Concept Teaching
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Dunn, Rita; Dunn, Kenneth – NASSP Bulletin, 1979
Readers are invited to test their abilities first in diagnosing the learning difficulties of a high school senior and then in prescribing the right kind of instructional program for him or her. (Author/MLF)
Descriptors: Cognitive Style, Diagnostic Teaching, Individualized Instruction, Learning Problems
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Mitchell, Christine; Ault, Ruth L. – Child Development, 1979
In terms of Kagan's theory of the problem-solving process, this study explores the relationship between reflection-impulsivity, hypothesis generation and testing, and evaluation of the quality of one's own solutions among children approximately 8 to 12 years old. (JMB)
Descriptors: Children, Cognitive Processes, Cognitive Style, Conceptual Tempo
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Goebel, Barbara L.; Harris, Elizabeth L. – Perceptual and Motor Skills, 1980
Results of this study of three age groups (5-7, 9-10, and 14-15 years) indicate that there are both individual and developmental differences in cognitive strategy use and that use of strategy is predictable across age levels by personality factors. (Author/SJL)
Descriptors: Adolescents, Age Differences, Children, Cognitive Style
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