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Ching-Yi Chang; Hui-Chen Lin; Chengjiu Yin; Kai-Hsiang Yang – Educational Technology & Society, 2025
The emergence of Generative AI such as ChatGPT--a cutting-edge pre-trained language model--has garnered unprecedented attention from educational researchers worldwide. Its remarkable performance in knowledge generation and natural language dialogue has sparked global scholarly interest in its implications for education. Research on higher-order…
Descriptors: Artificial Intelligence, Thinking Skills, Skill Development, Reflection
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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
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Sriram Sampath – Higher Education for the Future, 2025
Artificial intelligence (AI) has been put forth as a technological innovation which can change the way in which healthcare will be delivered in the near future. AI developers plan to deploy tools that will aid diagnosis, improve therapy, minimize errors, increase safety, and optimize systems and bring down costs. In addition, a paradigmatic shift…
Descriptors: Artificial Intelligence, Health Services, Technological Advancement, Innovation
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Zuhan Liu; Lili Wang – Education and Information Technologies, 2025
With the continuous development of embodied cognition theory and virtual reality (VR) technology, its application in teaching has been paid more and more attention by researchers. However, there are still few practical studies on the combination of VR technology and embodied learning. Starting from literature research, the paper analyzes the…
Descriptors: Cognitive Processes, Computer Simulation, Human Body, Experiential Learning
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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
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Norah Basheer Alotaibi – Education and Information Technologies, 2025
Information and Communication Technology (ICT) has profoundly impacted social, psychological, and physical well-being, presenting positive and negative effects. This study primarily explores the negative aspects, specifically technostress, and its influence on mobile learning (m-learning) among university students, a crucial area with limited…
Descriptors: Electronic Learning, Academic Achievement, Undergraduate Students, Foreign Countries
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Richard Brown; Elizabeth Sillence; Dawn Branley-Bell – Journal of Educational Technology Systems, 2025
We investigate perceptions of AI among university students and staff, focusing on sociodemographic predictors of use, attitudes and literacy. We follow an explanatory mixed-methods approach: an online survey (269 students and staff) capturing self-reported AI use, attitudes, and literacy, and 24 semi-structured online interviews exploring barriers…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Sankaranarayanan Paleeri; Sneha Parambath – Journal of Educational Technology, 2025
This study explored the perceptions of learners, teachers, and administrators on the role of artificial intelligence (AI) in the higher secondary school education scenario of Kerala. The study was a comprehensive survey, and sample groups included 360 students, 60 teachers, and 5 administrators. Both qualitative methods and quantitative techniques…
Descriptors: Artificial Intelligence, Computer Uses in Education, Student Attitudes, Teacher Attitudes
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Ueli Thomas Studhalter; Priska Jossen; Marco Seeli; Annette Tettenborn – Early Childhood Education Journal, 2025
Engaging in vivid conversations is crucial for the social and cognitive development of young children and for building their understanding of science phenomena. In this regard, educators play a pivotal role in shaping interactions with learners by providing adequate scaffolds to promote sustained shared thinking. Tablet computers are considered to…
Descriptors: Foreign Countries, Preschool Teachers, Kindergarten, Early Childhood Education
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Amr Assad; Mohammed Fyadh; Akhmed Kaleel; Mona Gabr – Discover Education, 2025
This paper used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method for data collection and analysis to explore the impact of Artificial Intelligence (AI) on communication and media studies in Arab countries in terms of its contribution to enhancing the learning capabilities of media students and developing their…
Descriptors: Artificial Intelligence, Technology Uses in Education, Mass Media, Media Literacy
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Mo Wang; Minjuan Wang; Xin Xu; Lanqing Yang; Dunbo Cai; Minghao Yin – IEEE Transactions on Learning Technologies, 2024
This research project investigates the impact of prompt engineering, a key aspect of chat generative pretrained transformer (ChatGPT), on college students' information retrieval in flipped classrooms. In recent years, an increasing number of students have been using AI-based tools, such as ChatGPT rather than traditional research engines to learn…
Descriptors: Artificial Intelligence, Information Technology, Information Retrieval, Flipped Classroom
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Sajjadllah Alhawsawi; Hajeej Alhawsawi; Osman Sadeck – Pedagogies: An International Journal, 2024
The current digital transformation agenda connects beliefs/attitudes to behaviour/practice. Both of these elements are well established and continue to evolve. This paper conceptualizes the effects of digital transformation during the COVID-19 pandemic. It focuses on understanding the effects of causal factors (COVID-19 and digital transformation,…
Descriptors: COVID-19, Pandemics, Teacher Attitudes, Teacher Behavior
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Michael Forsman; Ingrid Forsler; Signe Opermann; Emanuele Bardone; Margus Pedaste – Learning, Media and Technology, 2024
Estonia has since the liberation from the Soviet Union in 1991 successfully branded itself as a digital society and an education nation. This transformation builds on a "sociotechnical imaginary" where the progression of learning and the advancement of future citizens is postulated by a restructuring of the classroom through digital…
Descriptors: Foreign Countries, Technology Uses in Education, Educational Technology, Technological Advancement
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Omid Salmanpour; Omid Tabatabaei; Hadi Salehi; Melor Md Yunus – Asian-Pacific Journal of Second and Foreign Language Education, 2024
This study investigated the effect of using Stoodle software program on Iranian EFL teachers' autonomy, creativity, and work engagement in the light of teaching experience and gender. The participants comprised 60 EFL teachers including 30 male (15 novice and 15 experienced) and 30 female (15 novice and 15 experienced) teachers teaching at five…
Descriptors: Computer Software, Influence of Technology, English (Second Language), Language Teachers
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Jiyou Jia; Tianrui Wang; Yuyue Zhang; Guangdi Wang – Asia Pacific Journal of Education, 2024
In designing an intelligent tutoring system, a core area of the application of AI in education, tips from the system or virtual tutors are crucial in helping students solve difficult questions in disciplines like mathematics. Traditionally, the manual design of general tips by teachers is time-consuming and error-prone. Generative AI, like…
Descriptors: Problem Solving, Artificial Intelligence, Learning Processes, Prompting
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