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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
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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
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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
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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
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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
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Paul T. Sowden; Frances Warren; Marnie Seymour; Clare Martin; Anna Kauer; Ellen Spencer; Sandra Mansfield; Judy Waite – Journal of Creative Behavior, 2025
While creativity has traditionally been linked to arts education, the importance of developing the ability to think creatively across the school curriculum has grown in prominence (James et al. 2019), reflected by its inclusion in OECD PISA 2022 for the first time (OECD, 2024). Creativity enables learners to thrive in a rapidly evolving workplace,…
Descriptors: Creativity, Teaching Methods, Creative Thinking, Metacognition
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Leslie Rutkowski; David Rutkowski – Journal of Creative Behavior, 2025
The Programme for International Student Assessment (PISA) introduced creative thinking as an innovative domain in 2022. This paper examines the unique methodological issues in international assessments and the implications of measuring creative thinking within PISA's framework, including stratified sampling, rotated form designs, and a distinct…
Descriptors: Creativity, Creative Thinking, Measurement, Sampling