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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
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
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
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
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
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
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
Ning Zou; Qing Gong; Xiaolin Li; Zihan Zhao; Chunlei Chai – Creativity Research Journal, 2024
This study investigates the design method of integrating design resources and design materials with an explanation of the foundations of cultural psychology. It focuses on the integration of design resources and design materials in product creative design. This article outlines the design process of integrating design resources and design…
Descriptors: Design, Cultural Influences, Psychological Characteristics, Creativity
Ahnaf Chowdhury Niloy; Salma Akter; Nayeema Sultana; Jakia Sultana; Sayed Imran Ur Rahman – Journal of Computer Assisted Learning, 2024
Background: The increasing prevalence of Artificial Intelligence (AI) language models, exemplified by ChatGPT, has sparked inquiries into their influence on creative writing skills in educational contexts. This study aims to quantitatively investigate whether ChatGPT's use negatively affects university students' creative writing abilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Writing Ability
Download full textMaría-Isabel de Vicente-Yagüe-Jara; Olivia López-Martínez; Verónica Navarro-Navarro; Francisco Cuéllar-Santiago – Comunicar: Media Education Research Journal, 2023
The main objective of the research is to study the creative potential of Artificial Intelligence (AI) for writing skills in an educational context. The research aims to provide evidence on the use of AI and contribute to its integration in the classroom as a support for the teaching-learning process. Two types of research designs were established:…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Creativity
Chiru, Costin-Gabriel; Rebedea, Traian – Creativity Research Journal, 2017
This article proposes a new fully automated method for identifying creativity that is manifested in a divergent task. The task is represented by chat conversations in small groups, each group having to debate on the same topics, with the purpose of better understanding the discussed concepts. The chat conversations were created by undergraduate…
Descriptors: Creativity, Heuristics, Creative Thinking, Undergraduate Students
Fiebrink, Rebecca – ACM Transactions on Computing Education, 2019
This article aims to lay a foundation for the research and practice of machine learning education for creative practitioners. It begins by arguing that it is important to teach machine learning to creative practitioners and to conduct research about this teaching, drawing on related work in creative machine learning, creative computing education,…
Descriptors: Artificial Intelligence, Man Machine Systems, Population Groups, Creativity
Okita, Sandra – Teachers College Record, 2015
Many technological artifacts (e.g., humanoid robots, computer agents) consist of biologically inspired features of human-like appearance and behaviors that elicit a social response. The strong social components of technology permit people to share information and ideas with these artifacts. As robots cross the boundaries between humans and…
Descriptors: Robotics, Creativity, Problem Solving, Technology Uses in Education
Druin, Allison – New Directions for Youth Development, 2010
The technological complexity and richness of a child's environment today is far beyond what any adults today experienced when they were growing up. For example, no adult today knows what it is like to be a four-year-old using his or her first iPhone app or Webkinz account. Therefore, we seek ways to understand what children need in today's new…
Descriptors: Foreign Countries, Educational Technology, Children, Adults
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