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Kelsey 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
Kapoor, Hansika; Khan, Azizuddin – Journal of Creative Behavior, 2020
Given the recent emphasis on exploring valence in creative behavior, this study examines negative creativity via a person-situation interactionist perspective. By manipulating goal valence (uses or misuses) and object valence (positive or negative), four conditions of an adapted Divergent Thinking task were used to predict positive and negative…
Descriptors: Creativity, Interaction, Personality Traits, Responses
Palmiero, Massimiliano; Di Giacomo, Dina; Passafiume, Domenico – Journal of Creative Behavior, 2016
Cognitive reserve relies on the ability to effectively cope with aging and brain damage by using alternate processes to approach tasks when standard approaches are no longer available. In this study, the issue if creativity can predict cognitive reserve has been explored. Forty participants (mean age: 61 years) filled out: the Cognitive Reserve…
Descriptors: Creativity, Correlation, Predictor Variables, Cognitive Processes
Gralewski, Jacek; Karwowski, Maciej – Journal of Creative Behavior, 2013
The aim of this study was to examine whether, and to what extent, teachers are able to recognize the creativity of their students. The study measured the creative abilities, creative attitude, creative activity, as well as intrinsic motivation, intelligence, and school functioning of 589 Polish high school students, while their teachers (N = 178)…
Descriptors: Gender Differences, Creativity, Teacher Attitudes, Student Characteristics
Peer reviewedYamada, Hiroyuki; Tam, Alice Yu-Wen – Journal of Creative Behavior, 1996
Torrance's longitudinal study predicting adult creative achievement was reexamined employing a multiple regression analysis. Application to 211 cases found that 4 predictors explained 49% of the total variance in adult creative achievement. They were creativity test score, childhood future career image, intelligence test score, and the existence…
Descriptors: Adults, Career Choice, Creativity, Creativity Tests

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