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Nurlaela Nurlaela; Andi Muhammad Irfan; Muhammad Haristo Rahman; Kurnia Prima Putra; Amiruddin Mahmud; Wirawan Setialaksana – Education and Information Technologies, 2025
Integrating advanced technologies like Virtual Reality (VR) and Augmented Reality (AR) in educational settings can significantly enhance learning, especially in vocational education, where practical application is crucial. However, understanding the factors influencing student acceptance of these technologies remains challenging. This study…
Descriptors: Career and Technical Education, Technology Uses in Education, Technology Integration, Artificial Intelligence
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J. Weidlich; D. Gaševic; H. Drachsler; P. Kirschner – Journal of Computer Assisted Learning, 2025
Background: As researchers rush to investigate the potential of AI tools like ChatGPT to enhance learning, well-documented pitfalls threaten the validity of this emerging research. Issues of media comparison research, where the confounding of instructional methods and technological affordances is unrecognised, may render effects uninterpretable.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Barriers
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Leonie Fleck; Dorothee Amelung; Anna Fuchs; Benjamin Mayer; Malvin Escher; Lena Listunova; Jobst-Hendrik Schultz; Andreas Möltner; Clara Schütte; Tim Wittenberg; Isabella Schneider; Sabine C. Herpertz – Advances in Health Sciences Education, 2025
Doctors' interactional competencies play a crucial role in patient satisfaction, well-being, and compliance. Accordingly, it is in medical schools' interest to select candidates with strong interactional abilities. While Multiple Mini Interviews (MMIs) provide a useful context to assess such abilities, the evaluation of candidate performance…
Descriptors: Medical Students, Medical Schools, College Admission, Admission Criteria
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Thoriqi Firdaus; Noura Aulya Damayanti; Rika Nur Hamida; Roukhil Ummu Hani; Najwa Salma Khoirun Nisa – International Online Journal of Primary Education, 2025
Artificial Intelligence (AI) holds significant potential to transform education, particularly in teaching methodologies and task completion. This study aims to identify the factors influencing the perceptions and behaviors of elementary education students in utilizing ChatGPT and Gemini to complete science-related assignments. The research design…
Descriptors: Technology Uses in Education, Science Instruction, Assignments, Preservice Teachers
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Thomas Corbin; Phillip Dawson; Kelli Nicola-Richmond; Helen Partridge – Assessment & Evaluation in Higher Education, 2025
As higher education grapples with ensuring assessment validity in an increasingly AI-populated time, institutions and educators are working to establish appropriate boundaries for AI use. However, little is known about how students and teachers conceptualize and experience these boundaries in practice. This study investigates how students and…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Fairuz Anjum Binte Habib – Education and Information Technologies, 2025
The incorporation of artificial intelligence (AI) into education is becoming more important over time, although faculty viewpoints on this integration are not well recognized. To analyze educators' attitudes towards AI tools in Bangladesh, this research built a modified model that included components from the technology acceptance model (TAM),…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Technology Uses in Education
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Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
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Liz Jackson; Alexander M. Sidorkin; Petar Jandric; Eamon Costello; Jessica A. Heybach; Heather Greenhalgh-Spencer; Kathy Hytten; Lesley Gourlay; Rachel Buchanan; Marek Tesar – Educational Philosophy and Theory, 2025
Today lively debates are unfolding about artificial intelligence (Jackson, 2024; Peters et al., 2024; Sidorkin, 2024). Despite these debates, the topic remains undertheorized (Gourlay, 2024) in relation to various matters pertaining to its use, benefits, risks, and implications. As argued in a recent editorial for this journal (2024), it is…
Descriptors: Artificial Intelligence, Computer Software, Risk, Technology Integration
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Nopparat Klayklueng; Pinanta Chatwattana – International Education Studies, 2025
The architecture of the service platform via AI chatbots is a research tool which was fabricated to specifically promote digital competency through the use of AI chatbots. The architecture of the service platform herein was initiated by the application of artificial intelligence technology integrated with chatbot technology to create the user…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Management Systems
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Russell Franco D'Souza; Krishna Mohan Surapaneni; Sathyanarayanan P.; Annamalai Regupathy; Mary Mathew; Vedprakash Mishra; Ani Grace Kalaimathi; Geethalakshmi Sekkizhar; Rajiv Tandon; Princy Louis Palatty; Vivek Mady – Journal of Academic Ethics, 2025
The integration of artificial intelligence (AI) into healthcare and research introduces sophisticated diagnostic and treatment capabilities but also raises significant ethical challenges from development to deployment and evaluation, requiring comprehensive ethical training and interdisciplinary collaboration to ensure the responsible use of AI…
Descriptors: Artificial Intelligence, Health Services, Medical Services, Ethics
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Yucheng Chu; Peng He; Hang Li; Haoyu Han; Kaiqi Yang; Yu Xue; Tingting Li; Yasemin Copur-Gencturk; Joseph Krajcik; Jiliang Tang – International Educational Data Mining Society, 2025
Short answer assessment is a vital component of science education, allowing evaluation of students' complex three-dimensional understanding. Large language models (LLMs) that possess human-like ability in linguistic tasks are increasingly popular in assisting human graders to reduce their workload. However, LLMs' limitations in domain knowledge…
Descriptors: Artificial Intelligence, Science Education, Technology Uses in Education, Natural Language Processing
Angela Gunder – WICHE Cooperative for Educational Technologies (WCET), 2025
This report reviews leading AI literacy frameworks through the lens of WCET's Policy and Practice Framework. Analyzing 50+ resources and highlighting three key frameworks, it offers actionable insights across the dimensions of AI governance, operations, and pedagogy. Rather than recommending a single model, it advocates for remixing openly…
Descriptors: Artificial Intelligence, Technological Literacy, Governance, Technology Uses in Education
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Tatiana M. Lebedintseva; Andrey V. Nikitin; Anna M. Vasilieva; Olga Yu Dmitrieva; Valery A. Filippov – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2025
The emergence of artificial intelligence and neural networks creates a significant potential for automating an increasing number of business processes of large, small, and medium-sized businesses in various sectors of the economy. The financial sector, education, medicine, retail trade, and transport are the most promising from the point of view…
Descriptors: Artificial Intelligence, Technology Uses in Education, Labor Market, Automation
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Yasemin Darancik; Erdal Kaçar; Aise Sezik – Education and Information Technologies, 2025
The aim of this study is to examine the anxiety levels of prospective German teacher candidates in the face of rapid developments in artificial intelligence applications. Participants (n = 136) from the Department of German Language Teaching were included in the study. The 16-item Artificial Intelligence Anxiety Scale (AIAS) developed by Wang and…
Descriptors: Foreign Countries, Preservice Teachers, Anxiety, Artificial Intelligence
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Xinyue Yu; Yuanqing Hu; Yongbin Hu; Kangkang Li – Education and Information Technologies, 2025
The growing use of generative artificial intelligence (GAI) in academic research has created a need to understand graduate students' intention to adopt this technology. This study extended the technology acceptance model (TAM) to explore the factors that influence graduate students' willingness to use GAI for academic research purposes. We…
Descriptors: Graduate Students, Intention, Artificial Intelligence, Technology Uses in Education
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