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Pitts, Joseph I. – 2002
This report describes a reliability and validity study on a learning styles instrument that was developed based on the Dunn, Dunn, & Price model. That model included 104 Likert five-point scale items for investigating 24 scales grouped into five categories considered likely to affect learning. The Learning Style Preference Inventory (LSPI)…
Descriptors: Cognitive Style, Elementary Secondary Education, Global Approach, Test Reliability
Ackerman, Phillip L.; Kyllonen, Patrick C.; Roberts, Richard D. – 1999
In preparation for a conference on learning and individual differences, the invited authors prepared chapters, which were distributed in draft form. Presentations were followed by discussions, which were recorded, and then edited for this volume, so that the discussion transcript follows each paper. The chapters in part 1, General Background and…
Descriptors: Cognitive Style, Individual Differences, Learning, Memory
Azevedo, Ross E.; Akdere, Mesut – Online Submission, 2006
This study is an inquiry into the use of the Kolb Learning Styles Inventory (KLSI) as a training tool rather than as strictly a diagnostic tool. The idea is to assess whether it is possible to alter the perception of learners on the divergence of learning styles through an appropriate conditioning process. Using an experimental design this study…
Descriptors: Research Design, Human Resources, Cognitive Style, Measures (Individuals)
Pinheiro, Sandro O. – 2001
International students' perceptions of and preferences for the teaching-learning process in a U.S. university was assessed. Nine participants representing three regions of the world (Asia, Africa, and Latin America) were interviewed individually and asked to reflect on their teaching-learning experiences in Ph.D. courses. They were also asked to…
Descriptors: Cognitive Style, Foreign Students, Graduate Students, Higher Education
Leith, Karen Pezza – 1997
Courses, curriculum, and classrooms can be designed to affirm students in their adulthood, empowering them to draw on their experiences, interests, and self-motivation to learn. Starting at the introductory level and continuing through specialty courses and electives, critical thinking, learning contracts, self-directed learning, and sharing…
Descriptors: Adult Students, Cognitive Style, College Students, Critical Thinking
Hwang, Dae-Yeop; Henson, Robin K. – 2002
The Learning Style Inventory (LSI; Kolb, 1976; 1985 ) is a commonly used measure of learning styles based on Kolbs Experiential Learning Model. The psychometric soundness of LSI scores has been critiqued historically. This study reviewed the literature on the LSI and evaluated the psychometric properties of Kolbs original and revised versions of…
Descriptors: Cognitive Style, Meta Analysis, Psychometrics, Reliability
Wood, Gail – 2000
This guide provides a survey to help readers discover their own learning styles, and then covers all the elements of study and test preparation. The guide is designed to be used 20 minutes each day so that the reader can learn to get the most out of studying. The chapters are: (1) "Getting Started"; (2) "Discovering How You Learn"; (3) "Looking…
Descriptors: Cognitive Style, Elementary Secondary Education, Study Habits, Study Skills
Peer reviewedHaller, Otto; Edgington, Eugene S. – Perceptual and Motor Skills, 1982
Rod-and-frame test data of undergraduates were subjected to pattern analysis, which showed that most tilt toward the spatial position of the frame, while some utilize two frame cues, i.e., the nearest to vertical side and corner of the frame. Other interpretations of performance were not supported by results. (Author/RD)
Descriptors: Cognitive Measurement, Cognitive Style, Higher Education, Scoring
Peer reviewedHaller, Otto; Edgington, Eugene S. – Educational and Psychological Measurement, 1983
A general method for identifying the separate components of the Rod-and-Frame Test consists of correlating theoretical patterns of scores with obtained test scores of single subjects. The correlation test calculates probability values from the test data. In this way, fit can be determined between theoretical pattern and test scores. (Author/BW)
Descriptors: Cognitive Style, Correlation, Goodness of Fit, Hypothesis Testing
Peer reviewedDeitch, Howard L.; Jones, Judith A. – Journal of Clinical Psychology, 1983
Investigated possible relationships between stages of ego development and several different facets of personal constructs in 60 subjects who represented a broad range of ego functioning. Results showed a statistically significant relationship between ego level and frequency of use of three content categories. (Author/JAC)
Descriptors: Adults, Cognitive Processes, Cognitive Style, Emotional Adjustment
Peer reviewedRiding, R. J.; Boardman, D. J. – Educational Review, 1983
Preference for field dependence independence and verbal imagery was assessed in 96 14-year-olds. Their map reading performance was measured in terms of map-aerial photograph correlation, symbol translation, and view identification. The results suggest that map reading performance depends on the learning style, sex of the pupil, and the type of…
Descriptors: Adolescents, Cognitive Style, Map Skills, Secondary Education
Peer reviewedSchmeck, Ronald R.; Lockhart, Dan – Educational Leadership, 1983
A learning environment stimulating enough for extraverted students may be too stimulating for introverted students (and for the teacher). (Author)
Descriptors: Cognitive Style, Educational Environment, Elementary Secondary Education, Student Characteristics
Peer reviewedGauthier, Yvon; Benoit, E. Paul – Education, 1982
The importance of an educational approach to the mentally retarded is that it forces professionals to perceive the mentally retarded as those who develop slowly, but could advance more rapidly if everything were appropriate in their environment. (Author/BRR)
Descriptors: Cognitive Style, Educational Environment, Holistic Approach, Individual Characteristics
Peer reviewedSuter, Steve; Loughry-Machado, Glenna – Journal of Experimental Child Psychology, 1981
Skin temperature biofeedback performance was studied in 38 6- to 10-year-old children and 38 of their parents across two sessions of audio biofeedback segments in which participants alternately attempted hand-warming and hand-cooling. Children were superior to adults in controlling skin temperature in the presence of biofeedback. (Author/DB)
Descriptors: Adults, Age Differences, Children, Cognitive Development
Peer reviewedHuang, Ming-Shiunn – Journal of Psychology, 1981
Pettigrew's Category Width Scale was administered to 150 first-year psychology students in a study designed to relate a cognitive style dimension, category width, to individual preferences in information processing strategies. (Author/CM)
Descriptors: Classification, Cognitive Processes, Cognitive Style, College Students


