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Direct linkFlorent Vinchon; Todd Lubart; Sabrina Bartolotta; Valentin Gironnay; Marion Botella; Samira Bourgeois-Bougrine; Jean-Marie Burkhardt; Nathalie Bonnardel; Giovanni Emanuele Corazza; Vlad Glaveanu; Michael Hanchett Hanson; Zorana Ivcevic; Maciej Karwowski; James C. Kaufman; Takeshi Okada; Roni Reiter-Palmon; Andrea Gaggioli – Journal of Creative Behavior, 2023
With the advent of artificial intelligence (AI), the field of creativity faces new opportunities and challenges. This manifesto explores several scenarios of human--machine collaboration on creative tasks and proposes "fundamental laws of generative AI" to reinforce the responsible and ethical use of AI in the creativity field. Four…
Descriptors: Artificial Intelligence, Creativity, Man Machine Systems, Ethics
Rodrigo Ferreira – Learning, Media and Technology, 2025
As educators have begun to investigate new ways to promote student productivity and creativity by 'co-creating' with generative AI (GenAI), scholars have simultaneously warned against attributing creativity to GenAI given potential risks that anthropomorphizing AI could result in undermining the value of human creativity or in encouraging current…
Descriptors: Artificial Intelligence, Technology Uses in Education, Climate, Creativity
Download full textZifeng Liu; Wanli Xing; Chenglu Li; Fan Zhang; Hai Li; Victor Minces – Journal of Learning Analytics, 2025
Creativity is a vital skill in science, technology, engineering, and mathematics (STEM)-related education, fostering innovation and problem-solving. Traditionally, creativity assessments relied on human evaluations, such as the consensual assessment technique (CAT), which are resource-intensive, time-consuming, and often subjective. Recent…
Descriptors: Creativity, Elementary School Students, Artificial Intelligence, Man Machine Systems
Sudipta Karmakar; Papiya Upadhyay – Shanlax International Journal of Education, 2025
This study explores the connection between Artificial Intelligence (AI) and human creativity by examining perceptions, experiences, and reflections on AI-generated creative content. It examines the extent to which AI enhances or diminishes creativity and abilities across various domains. The study employed a qualitative research methodology that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creativity, Productivity
Francisco Tigre Moura; Chiara Castrucci; Clare Hindley – Journal of Creative Behavior, 2023
This paper presents a study analyzing the perception of artistic products created by or with the support of artificial intelligence (AI). The research builds on previous studies revealing that the output of artificial creativity processes can indeed rival human-made products, satisfy consumer expectations, and derive enjoyment. However, in…
Descriptors: Creativity, Artificial Intelligence, Art, Automation
Letty Rising – Montessori Life: A Publication of the American Montessori Society, 2024
In the ever-evolving landscape of education, you have most likely experienced a significant expansion in your teaching responsibilities. Your role may have stretched to encompass being proficient in various technology platforms, nurturing the social and emotional learning of your students, and adjusting to amplified documentation requirements.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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
Park, Ye Sul – Studies in Art Education: A Journal of Issues and Research in Art Education, 2023
Since the advent of the postdigital era, technologies have been dramatically transforming human lives, shifting the ways humans communicate, learn, and create. This article aims to envision how entanglements with nonhuman intelligences can unsettle and reshape pedagogical approaches in the field of art education. I argue for the need to…
Descriptors: Creativity, Artificial Intelligence, Art Education, Man Machine Systems
Yu Ji; Mingxuan Zhong; Siyan Lyu; Tingting Li; Shijing Niu; Zehui Zhan – Education and Information Technologies, 2025
The emergence of generative artificial intelligence (GAI) has significantly transformed learning patterns and innovative approaches. Human-machine (generative artificial intelligence) co-creation will become the norm, necessitating that learners possess the requisite AI literacy (AIL) to adapt to this shift. The mechanisms by which individual AIL…
Descriptors: Artificial Intelligence, Digital Literacy, Innovation, Psychological Needs
William Orwig; Emma R. Edenbaum; Joshua D. Greene; Daniel L. Schacter – Journal of Creative Behavior, 2024
Recent developments in computerized scoring via semantic distance have provided automated assessments of verbal creativity. Here, we extend past work, applying computational linguistic approaches to characterize salient features of creative text. We hypothesize that, in addition to semantic diversity, the degree to which a story includes…
Descriptors: Computer Assisted Testing, Scoring, Creativity, Computational Linguistics
Gal Sasson Lazovsky; Tuval Raz; Yoed N. Kenett – Journal of Creative Behavior, 2025
As artificial intelligence and natural language processing methods rapidly develop, communication plays a pivotal role in every-day interactions. In this theoretical paper, we explore the overlap and commonalities between question-asking and prompt engineering. While seemingly distinct, these processes share a common foundation in essential skills…
Descriptors: Creativity, Questioning Techniques, Inquiry, Artificial Intelligence
Punya Mishra; Danah Henriksen – TechTrends: Linking Research and Practice to Improve Learning, 2024
In this article, we explore the intersection of creativity, education, and technology, with a focus on the impact of Generative AI (GenAI). We delve into the transformative potential of GenAI in redefining educational and creative processes and challenging our existing notions of learning and creativity. Through a conversation with renowned…
Descriptors: Creativity, Education, Technology, Artificial Intelligence
Kelsey Hammond; Chelsey Barber – Phi Delta Kappan, 2024
A mastery-based learning model has limited value in secondary English classrooms, particularly as it relates to writing instruction. Kelsey Hammond and Chelsey Barber argue against the focus on standardized benchmarks that are tied to mastery-based models in favor of an approach to writing that is explorative, personal, and imaginative. The rise…
Descriptors: Mastery Learning, Secondary Education, Writing Instruction, Artificial Intelligence
Liu, Mengrong; Pang, Weiguo; Guo, Jiajun; Zhang, Yiwen – Education and Information Technologies, 2022
Creativity is essential for the sustainable development of both individuals and organizations. The constant permeation of technology into everyday life is expected to facilitate the cultivation of creativity. To date, no consistent answer has been reached regarding the effect of technology on creativity. This study conducted a three-level…
Descriptors: Meta Analysis, Educational Technology, Multimedia Materials, Creativity
Min Tang; Sebastian Hofreiter; Christian H. Werner; Aleksandra Zielinska; Maciej Karwowski – Journal of Creative Behavior, 2025
Recent research suggests that working with generative artificial intelligence (AI), such as ChatGPT, can produce more creative outcomes than humans alone. However, does AI retain its creative edge when humans have access to alternative information sources, such as another human or the internet. We explored this question in a between-group…
Descriptors: Creative Thinking, Man Machine Systems, Interaction, Internet
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