Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Concept Formation | 2 |
| Creative Thinking | 2 |
| Creativity | 2 |
| Predictor Variables | 2 |
| Artificial Intelligence | 1 |
| Association Measures | 1 |
| Attitudes | 1 |
| Beliefs | 1 |
| Divergent Thinking | 1 |
| Man Machine Systems | 1 |
| Models | 1 |
| More ▼ | |
Source
| Journal of Creative Behavior | 2 |
Author
| Connelly, Mary Shane | 1 |
| David H. Cropley | 1 |
| Decker, Brian P. | 1 |
| Kelsey Medeiros | 1 |
| Mumford, Michael D. | 1 |
| Osburn, Holly K. | 1 |
| Rebecca L. Marrone | 1 |
| Roni Reiter-Palmon | 1 |
| Scott, Gina Marie | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkKelsey Medeiros; David H. Cropley; Rebecca L. Marrone; Roni Reiter-Palmon – Journal of Creative Behavior, 2025
Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from "AI is creative" and towards a more balanced model of Human-AI co-creativity. Nevertheless, even this…
Descriptors: Man Machine Systems, Creativity, Artificial Intelligence, Models
Peer reviewedMumford, Michael D.; Decker, Brian P.; Connelly, Mary Shane; Osburn, Holly K.; Scott, Gina Marie – Journal of Creative Behavior, 2002
Undergraduates (n=195) were asked to work on three creative problem-solving tasks. Beliefs consistent with the nature of the task were found to be those most likely to be related to performance. Belief measures were found to be reasonably powerful predictors of the production of original, high-quality solutions. (Contains references.) (CR)
Descriptors: Attitudes, Beliefs, Concept Formation, Creative Thinking
