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Wei Zhang; Mingxuan Cai; Hong Joo Lee; Richard Evans; Chengyan Zhu; Chenghan Ming – Education and Information Technologies, 2024
Artificial Intelligence (AI) is transforming healthcare and shows considerable promise for the delivery of medical education. This systematic review provides a comprehensive analysis of the global situation, effects, and challenges associated with applying AI at the different stages of medical education. This review followed the PRISMA guidelines,…
Descriptors: Artificial Intelligence, Medical Education, Content Analysis, Teaching Methods
Sarah K. Burriss; Kevin Leander – Reading Research Quarterly, 2024
Literacy has become inextricably bound with machine processes, especially in the age of ubiquitous, consequential artificial intelligence (AI). Despite a relatively long history of AI involvement in our everyday reading and writing practices, the public availability of generative AI tools has set off a wave of heated debate--and concern--about…
Descriptors: Ethics, Artificial Intelligence, Literacy, Computer Software
Mohammad Al-Bawaleez; Jehad Abed R. Turkey – Educational Process: International Journal, 2025
Background/purpose: The qualitative study discusses applications of artificial intelligence (AI) in Jordanian schools for the gifted. This research accounts for how AI is thought to influence teaching procedures, learning outcomes, and the development of the gifted education profession. Materials/methods: A qualitative design was utilized, and…
Descriptors: Foreign Countries, Artificial Intelligence, Gifted Education, Talent Development
Robert F. Siegle; Scotty D. Craig – Journal of Computer Assisted Learning, 2024
Background: The voices virtual on-screen characters use has been shown to impact learning and perception outcomes. Recent replication research on these voices showed that synthetic voices were not a detriment if produced by a high-quality engine with clear articulation. The current manuscript examines previous accent research that utilized now…
Descriptors: Acoustics, Artificial Intelligence, Electronic Learning, Quality Assurance
Ran Jiang – Action, Criticism, and Theory for Music Education, 2025
Artificial Intelligence (AI) technology is reshaping the ways humans study and work across various disciplines. In the field of music, AI technology shows its possibility to empower individuals at diverse levels of musical knowledge in music creation, from novices to experts. In this article, I explore philosophical questions within both AI…
Descriptors: Educational Philosophy, Music Education, Artificial Intelligence, Computer Software
Grace Enriquez; Victoria Gill; Gerald Campano; Tracey T. Flores; Stephanie Jones; Kevin M. Leander; Lucinda McKnight; Detra Price-Dennis – English Teaching: Practice and Critique, 2024
Purpose: The purpose of this paper is to provide a transcript of a dialogue among literacy educators and researchers on the impact of generative artificial intelligence (AI) in the field. In the spring of 2023, a lively conversation emerged on the National Council of Research on Language and Literacy (NCRLL)'s listserv. Stephanie initiated the…
Descriptors: Artificial Intelligence, Literacy, Teachers, Personal Narratives
Kaiyue Jia; Teresa H. M. Leung; Ngai Yan Irene Cheung; Yixun Li; Junnan Yu – ACM Transactions on Computing Education, 2025
The increasing prevalence of AI in everyday life has intensified the emphasis on teaching AI literacy to children. However, there is no consensus on the specific knowledge and skills that constitute children's AI literacy, resulting in varied AI learning materials for young people. We systematically searched for educational practices for…
Descriptors: Computer Science Education, Digital Literacy, Artificial Intelligence, Children
Julia Jochim; Vera Kristina Lenz-Kesekamp – Information and Learning Sciences, 2025
Purpose: Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.…
Descriptors: Artificial Intelligence, Student Needs, Higher Education, Technology Uses in Education
Elisabeth Bauer; Samuel Greiff; Arthur C. Graesser; Katharina Scheiter; Michael Sailer – Educational Psychology Review, 2025
Artificial intelligence (AI) holds significant potential for enhancing student learning. This reflection critically examines the promises and limitations of AI for cognitive learning processes and outcomes, drawing on empirical evidence and theoretical insights from research on AI-enhanced education and digital learning technologies. We critically…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Learning Processes
Punya Mishra; Danah Henriksen; Lauren J. Woo; Nicole Oster – TechTrends: Linking Research and Practice to Improve Learning, 2025
The emergence of generative artificial intelligence (GenAI) has reignited long-standing debates about technology's role in education. While GenAI potentially offers personalized learning, adaptive tutoring, and automated support, it also raises concerns about algorithmic bias, de-skilling educators, and diminishing human connection. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational History, Influence of Technology
Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2024
Artificial Intelligence (AI) has been around for nearly a century, yet in recent years the rapid advancement and public access to AI applications and algorithms have led to increased attention to the role of AI in higher education. An equally important but overlooked topic is the study of AI teaching and learning in higher education. We wish to…
Descriptors: Artificial Intelligence, Technological Advancement, Higher Education, Influence of Technology
Lorraine Bennett; Ali Abusalem – Athens Journal of Education, 2024
Still rebounding from the impact of the global pandemic, the higher education sector is being challenged even further by the next wave of Artificial Intelligence (AI) technologies. These technologies have the power to generate in a matter of seconds, quality text, images, music and coding responses to questions or prompts entered into an online…
Descriptors: Artificial Intelligence, Influence of Technology, Information Technology, Higher Education
Rita Mathew; Jill E. Stefaniak – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper provides an overview of a needs assessment study conducted in higher education to address the impact of generative AI, specifically ChatGPT, on faculty development and instructional strategies. The study acknowledges the disruptive effect of AI on academia and the varying responses from faculty members. It emphasizes the importance of…
Descriptors: Needs Assessment, Artificial Intelligence, Information Technology, Consciousness Raising
Mariusz Kruk; Agnieszka Kaluzna – European Journal of Education, 2025
The integration of artificial intelligence (AI) in L2 teaching and learning is poised to revolutionise educational practices by enhancing both instructional methods and language development for L2 learners. This study employed a mixed-methods design to comprehensively examine the impact of AI tools, machine translation systems, and traditional…
Descriptors: Artificial Intelligence, Translation, Language Skills, Emotional Experience
Making AI Generative for Higher Education: Adoption and Challenges among Instructors and Researchers
Claire Baytas; Dylan Ruediger – ITHAKA S+R, 2025
In fall 2023, Ithaka S+R launched a collective research project with the objective of studying generative AI's impact on teaching, learning, and research at the postsecondary level. Through a collaboration with 19 universities from across the US and Canada, the "Making AI Generative for Higher Education" project has provided an…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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