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Mark A. Runco; Burak Turkman; Selcuk Acar; Ahmed M. Abdulla Alabbasi – Journal of Creative Behavior, 2025
Research suggests that generative AI (GAI) responds to divergent thinking (DT) prompts with multiple ideas, some of which seem to be original. The present investigation administered 55 DT tasks to three GAI services (Bard, GPT 3.5, and GPT 4.0). Instead of examining individual responses, an Idea Density algorithm was used to assess the output.…
Descriptors: Artificial Intelligence, Creative Thinking, Models, Differences
Paola Iannello; Alice Cancer; Leor Zmigrod; Alessandro Antonietti; Carola Salvi – Journal of Creative Behavior, 2025
In today's digital milieu, characterized by pervasive media exposure, the intricate interplay between individual differences and cognitive processes has garnered significant scholarly interest. A notable facet of this interrelation pertains to the nexus between cognitive flexibility and individuals' engagement with online information. Recognized…
Descriptors: Creative Thinking, Cognitive Processes, Logical Thinking, Models
Sternberg, Robert J.; Karami, Sareh – Journal of Creative Behavior, 2022
This article presents an 8P theoretical framework for understanding creativity and theories of creativity. The 8Ps are purpose, press, person, problem, process, product, propulsion, and public. The article opens by distinguishing between a theory and a model, on the one hand, and a theoretical framework, on the other. It then considers briefly…
Descriptors: Creativity, Theories, Models
Patten, Tena; Stephens, Simon – Journal of Creative Behavior, 2023
Expanding our understanding of the lived experience of individuals who use their creativity to realize entrepreneurial opportunity is the primary aim of this paper. Interpretative Phenomenological Analysis is used, based on two interviews of one-hour duration, with eight participants. The key contribution of this research is the recognition of the…
Descriptors: Entrepreneurship, Creativity, Creative Activities, Models
Jie Ma; Wenyuan Wei – Journal of Creative Behavior, 2023
Curiosity has long been extolled as a seed for employee creativity. This causality is plausible when considering curiosity as a stable trait. However, curiosity can also oscillate as a transitory state, thus complicating the causal sequence between such state curiosity and creativity. To clarify the causal ordering and achieve a refined…
Descriptors: Personality Traits, Creativity, Employees, Reinforcement
Leonidas A. Zampetakis – Journal of Creative Behavior, 2024
In the last decade, research on the connection between curiosity and creativity has surged revealing a positive correlation. However, these findings are primarily based on cross-sectional studies, which do not establish the direction of the relationship between creativity and curiosity. Is curiosity the driving force behind creativity, or does…
Descriptors: Creativity, Personality Traits, Structural Equation Models, Foreign Countries
Robert J. Sternberg – Journal of Creative Behavior, 2025
This article presents the PTSI (Person x Task x Situation Interaction) theory of creativity. The theory deals with the creative person, the deployment of creativity in tasks, the ecological context in which this deployment takes place, and the types of creative products that result. The theory draws upon a wide range of previous work. The article…
Descriptors: Creativity, Theories, Models, Personality
Selcuk Acar; Emel Cevik; Emily Fesli; Rumeysa Nalan Bozkurt; James C. Kaufman – Journal of Creative Behavior, 2024
Domain-specificity is a topic of debate within the field of creativity. To shed light on this issue, we conducted a meta-analysis of cross-domain correlations based on the Kaufman Domains of Creativity Scale (K-DOCS). To evaluate the model fit of one general factor versus two factors that encompass the primary K-DOCS subscales (Scholarly,…
Descriptors: Creativity, Science Education, Meta Analysis, Structural Equation Models
Benjamin Goecke; Paul V. DiStefano; Wolfgang Aschauer; Kurt Haim; Roger Beaty; Boris Forthmann – Journal of Creative Behavior, 2024
Automated scoring is a current hot topic in creativity research. However, most research has focused on the English language and popular verbal creative thinking tasks, such as the alternate uses task. Therefore, in this study, we present a large language model approach for automated scoring of a scientific creative thinking task that assesses…
Descriptors: Creativity, Creative Thinking, Scoring, Automation
Ross, Wendy; Vallée-Tourangeau, Frédéric – Journal of Creative Behavior, 2021
Qualitative research on creativity often highlights the role of accidents in creative process, but there is little research that takes these as its main topic. Perhaps because a model that relies on accidents undermines the meaningfulness of creativity; perhaps because the phenomenon itself is too complex to underwrite an entire research program.…
Descriptors: Creativity, Accidents, Models, Research
Selcuk Acar; Peter Organisciak; Denis Dumas – Journal of Creative Behavior, 2025
In this three-study investigation, we applied various approaches to score drawings created in response to both Form A and Form B of the Torrance Tests of Creative Thinking-Figural (broadly TTCT-F) as well as the Multi-Trial Creative Ideation task (MTCI). We focused on TTCT-F in Study 1, and utilizing a random forest classifier, we achieved 79% and…
Descriptors: Scoring, Computer Assisted Testing, Models, Correlation
Glaveanu, Vlad Petre; Kaufman, James C. – Journal of Creative Behavior, 2020
In this paper, we organize past and present theories and models of creativity by using a new conceptual framework--the creativity matrix--with the aim of highlighting the dimensions of creativity we know a lot about and those we tend to either ignore or find difficult to study. This matrix is formed by bringing together a developmental model of…
Descriptors: Creativity, Models, Research
Gustafsson, Erik – Journal of Creative Behavior, 2023
More and more research is showing how different environments can lead to greater or lower creative skills. The purpose of this concept paper is to introduce a novel application of the optimal-level of arousal model that could address inconsistencies present in the literature. After introducing possible definitions of creativity, I discuss the…
Descriptors: Creative Thinking, Creativity, Gender Differences, Models
Zhang, Gang; Li, Huihui; Yan, Shimei – Journal of Creative Behavior, 2021
This study provides insight into the role of expertise in the process of team creativity. Existing process models, that is, the random variation model and the creative synthesis model, either fail to treat team as an independent creative entity or neglect the differentiation in the voice of individual members in team creative process. In contrast,…
Descriptors: Expertise, Teamwork, Creativity, Models
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

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