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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
Tianjiao Wang; Xiaona Xia – SAGE Open, 2023
The study of learning behaviors with multi features is of great significance for interactive cooperation. The data prediction and decision are to realize the comprehensive analysis and value mining. In this study, hierarchical learning behavior based on feature cluster is proposed. Based on the massive data in interactive learning environment, the…
Descriptors: Cluster Grouping, Mathematical Models, Artificial Intelligence, Learning Analytics
Lehong Shi – ProQuest LLC, 2023
Artificial intelligence (AI), utilizing machine learning techniques to 'learn' from data, as humans learn from experiences, has the promise to perform various cognitive tasks, such as learning, thinking, problem-solving, and decision-making, which usually demands human cognition. In recent decades, the remarkable advancements in AI have led to its…
Descriptors: Artificial Intelligence, Educational Technology, Teaching Methods, Teacher Role
Pierrette Renee Dagg – ProQuest LLC, 2023
Software powered by artificial intelligence (AI) is used widely in the United States in education as a tool for teaching, administration, student assessment, and other purposes. Curriculum delivery, tutoring, support for students with disabilities and resource allocations are some of the applications of the technology. The normative, ideological,…
Descriptors: Artificial Intelligence, Ethics, Philosophy, Technology Uses in Education
Download full textEmmanuel Dumbuya – Online Submission, 2025
Artificial Intelligence (AI) is revolutionizing industries, yet its integration into education remains underutilized. This paper advocates for embedding AI tools in curriculum design to personalize learning experiences, address diverse student needs, and equip learners with future-ready skills. By leveraging AI's capabilities, educators can create…
Descriptors: Artificial Intelligence, Curriculum Design, Individualized Instruction, Technology Uses in Education
Peer reviewedIshrat Ahmed; Paul Alvarado; Siddharth Jain; Tracy Arner; Elizabeth Reilley; Danielle S. McNamara – Grantee Submission, 2025
The rapid evolution of artificial intelligence (AI) has created an unprecedented opportunity for innovation across industries, but its complexity often presents a steep learning curve for many (Roberts & Candi, 2024; Gunner, 2025). This highlights the need for user-friendly tools that bridge the gap between AI's potential and its practical…
Descriptors: State Universities, Artificial Intelligence, Usability, Innovation
Figen Egin; Aytug Onan; Hatice Yildiz Durak – European Journal of Education, 2025
This study examines pre-service teachers' understanding of technology integration and the role of AI tools in shaping this perspective. Open-ended responses, analysed using topic modelling, reveal the main themes in pre-service teachers' views and compare them with topics generated by AI tools like ChatGPT, Gemini, and Bing AI. Key themes in…
Descriptors: Educational Technology, Preservice Teachers, Artificial Intelligence, Teacher Attitudes
Jamal Eddine Rafiq; Abdelwahed Namir; Abdelali Zakrani; Mohammed Amraouy; Abdellah Bennane – Journal of Educators Online, 2025
This study examines the evolution of educational practices in the digital era and the integration of information technologies in teaching. Through an automated search in six digital libraries, we identified 99 relevant studies spanning the period from 1990 to 2021. We draw on a systematic mapping approach to classify these studies for better…
Descriptors: Educational Development, Educational Practices, Information Technology, Artificial Intelligence
Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
Thiti Jantakun; Kitsadaporn Jantakun; Thada Jantakoon – Higher Education Studies, 2025
This study conducts a bibliometric analysis of artificial intelligence (AI) in STEM education research from 2020 to 2024. The study uses citation analysis to examine publication trends, country contributions, top authors, cited journals, and influential articles in this field. Data was collected from the Dimensions database using the keywords…
Descriptors: Artificial Intelligence, Technology Uses in Education, STEM Education, Trend Analysis
Yudong Cai; Qiyue Deng; Ting Lv; Wan Zhang; Yi Zhou – Science & Education, 2025
The advent of GPT (generative pre-trained transformer) technologies, such as OpenAI's ChatGPT, Microsoft's New Bing, and Google's Bard, has recently sparked lively discussions in various industries. However, it is still unclear what impact the advent of GPT will have on the academic sectors. In light of this, we have undertaken a summary and…
Descriptors: Computer Software, Synchronous Communication, Artificial Intelligence, Influence of Technology
Amelia Katirai – Autism: The International Journal of Research and Practice, 2025
The use of emotion recognition technologies in the workplace is expanding. These technologies claim to provide insights into internal emotional states based on external cues like facial expressions. Despite interconnections between autism and the development of emotion recognition technologies as reported in prior research, little attention has…
Descriptors: Autism Spectrum Disorders, Psychological Patterns, Technology, Work Environment
Gulnara Z. Karimova; Yevgeniya D. Kim; Amir Shirkhanbeik – Education and Information Technologies, 2025
This exploratory study investigates the convergence of marketing communications and AI-powered technology in higher education, adopting a perspective on student interactions with generative AI tools. Through a comprehensive content analysis of learners' responses, we employed a blend of manual scrutiny, Python-generated Word Cloud, and Latent…
Descriptors: Artificial Intelligence, Marketing, Student Attitudes, Higher Education
Jeffrey A. Greene; Helen Crompton – TechTrends: Linking Research and Practice to Improve Learning, 2025
The increasing ubiquity of digital technologies in the twenty-first century has led to calls for education reform focused on digital literacy, but what exactly does this term mean? The concept of digital literacy has evolved much since its evolution from media and new literacies scholarship, resulting in a myriad of definitions. Previous attempts…
Descriptors: Digital Literacy, Definitions, Educational Policy, Instructional Design
Mary Kalantzis; Bill Cope – Reading Research Quarterly, 2025
The latest mutation of Artificial Intelligence, Generative AI, is more than anything a technology of writing. It is a machine that can write. In a world-historical frame, the significance of this cannot be understated. This is a technology in which the unnatural language of code tangles with the natural language of everyday life. Its form of…
Descriptors: Artificial Intelligence, Natural Language Processing, Literacy Education, Technology Uses in Education
