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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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Corazza, Giovanni Emanuele; Lubart, Todd – Journal of Intelligence, 2021
This theoretical article proposes a unified framework of analysis for the constructs of intelligence and creativity. General definitions for intelligence and creativity are provided, allowing fair comparisons between the two context-embedded constructs. A novel taxonomy is introduced to classify the contexts in which intelligent and/or creative…
Descriptors: Intelligence, Creativity, Taxonomy, Time
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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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Yang Zhang; Yangping Li; Weiping Hu; Huizhi Bai; Yuanjing Lyu – Journal of Science Education and Technology, 2025
Scientific creativity plays an essential role in science education as an advanced cognitive ability that inspires students to solve scientific problems inventively. The cultivation of scientific creativity relies heavily on effective assessment. Typically, human raters manually score scientific creativity using the Consensual Assessment Technique…
Descriptors: Eye Movements, Artificial Intelligence, Creativity, Scientific Concepts
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Sternberg, Robert J. – Journal of Creative Behavior, 2020
This article describes a "straight-A" model of the creative process. It characterizes the creative process in five overlapping phases, with the variables most affecting those phases characterized as: (1) activators, (2) abilities, (3) amplifiers, (4) appeal to audience, and (5) assessment by audience. The creative process does not…
Descriptors: Intelligence, Creativity, Audiences, Correlation
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Kovalkov, Anastasia; Paaßen, Benjamin; Segal, Avi; Pinkwart, Niels; Gal, Kobi – IEEE Transactions on Learning Technologies, 2021
Promoting creativity is considered an important goal of education, but creativity is notoriously hard to measure. In this article, we make the journey from defining a formal measure of creativity, that is, efficiently computable to applying the measure in a practical domain. The measure is general and relies on core theoretical concepts in…
Descriptors: Creativity, Programming, Measurement Techniques, Models
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Denis Dumas; James C. Kaufman – Educational Psychology Review, 2024
Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…
Descriptors: Decision Making, Creativity, Task Analysis, Psychologists
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Seyedahmad Rahimi; Justice T. Walker; Lin Lin-Lipsmeyer; Jinnie Shin – Creativity Research Journal, 2024
Digital sandbox games such as "Minecraft" can be used to assess and support creativity. Doing so, however, requires an understanding of what is deemed creative in this game context. One approach is to understand how Minecrafters describe creativity in their communities, and how much those descriptions overlap with the established…
Descriptors: Creativity, Video Games, Computer Games, Evaluation Methods
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Astuti Muh. Amin; Fitriyah Karmila; Syamsu Rijal; Noor Hujjatusnaini; Romi Adiansyah – Journal of Education and e-Learning Research, 2025
The present study aimed to evaluate the validity, practicality, and effectiveness of an integrated project-based learning model and 4C scaffolding techniques in addressing students' misconceptions in biology. In this research and development (R&D) study, the learning model was validated by five experts. A limited product trial was conducted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Misconceptions, Student Projects
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Latif, Nurul Ezhawati Abdul; Yusuf, Faizal Mohamed; Tarmezi, Nurazrin Mat; Rosly, Siti Zalika; Zainuddin, Zairul Nurshazana – International Journal of Higher Education, 2019
Critical Thinking is the mental process of analysing or evaluating information. The review of literature reveals that higher education, in particular is now placing an emphasis upon exposing matriculates to the concept of critical thinking and challenging them to develop those skills and dispositions necessary for improving the quality of their…
Descriptors: Critical Thinking, Accounting, Teaching Methods, Professional Education
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Sternberg, Robert J. – Roeper Review, 2017
In this essay, I reply to my five commentators in the October 2017 issue of the "Roeper Review" [see EJ1157141, EJ1157168, EJ1157169, and EJ1157171] to my July 2017 article: "ACCEL: A New Model for Identifying the Gifted". I respond to each in turn. I end with the question I believe most important for those of us interested in…
Descriptors: Foreign Countries, Models, Academically Gifted, Creativity
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Runco, Mark A. – Roeper Review, 2017
This commentary is focused on Robert Sternberg's new Active Concerned Citizenship and Ethical Leadership (ACCEL) model. The new model is well conceived and goes far beyond existing models. It is especially attractive in that the emphasis is on ethics. Now more than ever before there is a clear need for education to support ethical reasoning and…
Descriptors: Leadership, Academically Gifted, Creativity, Models
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Maker, C. June – Gifted Education International, 2021
With problem-solving as the focus and wisdom as the goal, the concept of giftedness is reconceptualized in the 21st century context. The two most prominent constructs in the field of education for the gifted, creativity and intelligence, are integrated into a view of exceptional talent as consisting of the ability and willingness to solve complex…
Descriptors: Problem Solving, Creativity, Intelligence, Talent
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Araz Zirar – Review of Education, 2023
Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Models
Beghetto, Ronald A. – ECNU Review of Education, 2019
Purpose: This article, based on an invited talk, aims to explore the relationship among large-scale assessments, creativity and personalized learning. Design/Approach/Methods: Starting with the working definition of large-scale assessments, creativity, and personalized learning, this article identified the paradox of combining these three…
Descriptors: Measurement, Creativity, Problem Solving, Artificial Intelligence
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