Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 5 |
Descriptor
Creative Thinking | 7 |
Models | 7 |
Predictor Variables | 7 |
Cognitive Processes | 4 |
Creativity | 3 |
Foreign Countries | 3 |
Grade 9 | 2 |
Personality | 2 |
Academic Achievement | 1 |
Admission Criteria | 1 |
Adults | 1 |
More ▼ |
Source
College and University | 1 |
Education and Information… | 1 |
International Education… | 1 |
International Journal of… | 1 |
Journal of Creative Behavior | 1 |
New Directions for Child… | 1 |
SAGE Open | 1 |
Author
Publication Type
Journal Articles | 7 |
Reports - Research | 5 |
Information Analyses | 2 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
Grade 9 | 2 |
Junior High Schools | 2 |
Elementary Education | 1 |
Grade 8 | 1 |
High Schools | 1 |
Higher Education | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Göktepe Yildiz, Sevda; Göktepe Körpeoglu, Seda – Education and Information Technologies, 2023
Traditionally, students' various educational characteristics are evaluated according to the grades they get or the results of their answers to the scales. There are some limitations in making an evaluation based on the results. The fuzzy logic approach, which tries to eliminate these limitations, has recently been used in the field of education.…
Descriptors: Foreign Countries, Students, Student Attitudes, Problem Solving
Elkilany, Elsayed Abdelwahed; Yousef, Wael – SAGE Open, 2021
While a consensus has emerged on the importance of creativity in graphic design and multimedia field, little systematic research has attempted to understand its facilitators or inhibitors in the graphic and multimedia education across colleges and universities. The current investigation surveys a sample of experts as well as professors teaching…
Descriptors: Graphic Arts, Design, Creativity, Multimedia Materials
Fü rst, Guillaume; Ghisletta, Paolo; Lubart, Todd – Journal of Creative Behavior, 2016
The present work proposes an integrative model of creativity that includes personality traits and cognitive processes. This model hypothesizes that three high-order personality factors predict two main process factors, which in turn predict intensity and achievement of creative activities. The personality factors are: "Plasticity" (high…
Descriptors: Personality, Creativity, Personality Traits, Cognitive Processes
Tsitsipis, Georgios; Stamovlasis, Dimitrios; Papageorgiou, George – International Journal of Science and Mathematics Education, 2012
In this study, the effect of 3 cognitive variables such as logical thinking, field dependence/field independence, and convergent/divergent thinking on some specific students' answers related to the particulate nature of matter was investigated by means of probabilistic models. Besides recording and tabulating the students' responses, a combination…
Descriptors: Cognitive Style, Logical Thinking, Creative Thinking, Misconceptions
Sriwongchai, Arunee; Jantharajit, Nirat; Chookhampaeng, Sumalee – International Education Studies, 2015
The study purposes were: 1) To study current states and problems of relevant secondary students in developing mathematics learning management model for improving creative thinking, 2) To evaluate the effectiveness of model about: a) efficiency of learning process, b) comparisons of pretest and posttest on creative thinking and achievement of…
Descriptors: Foreign Countries, Creative Thinking, Secondary School Students, Control Groups

Russ, Sandra W. – New Directions for Child Development, 1996
Reviews the major literature on creative processes in children that should be predictive of adult creativity, focusing on affective processes and children's play. Describes Russ's (1993) model of affect and creativity, and cognitive processes, personality processes, and affective processes important in creativity. Discusses theories of play,…
Descriptors: Adults, Affective Behavior, Children, Cognitive Development

Domer, D. E.; Johnson, A. E., Jr. – College and University, 1982
A statistical analysis of the predictive potential of academic and nonacademic student characteristics in an architecture school provides a model for other institutions to make their admissions processes and programs for retention more effective. The study was of 10 freshman architecture classes at the University of Kansas. (MSE)
Descriptors: Academic Achievement, Admission Criteria, Architectural Education, Cognitive Processes