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Hotaka Maeda; Yikai Lu – Journal of Educational Measurement, 2025
We fine-tuned and compared several encoder-based Transformer large language models (LLM) to predict differential item functioning (DIF) from the item text. We then applied explainable artificial intelligence (XAI) methods to identify specific words associated with the DIF prediction. The data included 42,180 items designed for English language…
Descriptors: Artificial Intelligence, Prediction, Test Bias, Test Items
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German Cuaya-Simbro; Serguei Drago Domínguez Ruíz – International Journal of Assessment Tools in Education, 2025
This study introduces a novel Generative Artificial Intelligence (GAI) platform designed to streamline the peer review process. By analyzing a case study of 10 scientific articles, we demonstrate that GAI effectively evaluates article quality and pinpoints specific areas requiring improvement. Our platform achieves an average similarity of 63.6%…
Descriptors: Peer Evaluation, Artificial Intelligence, Scientific Research, Journal Articles
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Kathryn C. Wymer – International Journal for the Scholarship of Teaching and Learning, 2025
Discussions about generative artificial intelligence (AI) seem to predominate current conversations about higher education. It is urgent for those engaged in the Scholarship of Teaching and Learning to evaluate how generative AI could be used appropriately in course development and evaluation, but it is also important for SoTL practitioners to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Scholarship
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Omid Noroozi; Golnoush Haddadian; Xingshi Gao; Christian Schunn; Maryam Alqassab; Seyyed Kazem Banihashem – International Journal of Educational Technology in Higher Education, 2025
Generative Artificial Intelligence (GenAI) has sparked a global debate on its potential as a feedback source for students, yet research in this area remains limited. This study explores students' use of GenAI during peer feedback provision. Fifty-four graduate students enrolled in a master's course in the food science domain at a Dutch university…
Descriptors: Artificial Intelligence, Feedback (Response), Peer Evaluation, Graduate Students
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Philip M. Newton – Assessment & Evaluation in Higher Education, 2025
There has been considerable speculation about the risk that new generative AI tools like ChatGPT pose to higher education, particularly assessments and cheating. However it is unclear how much risk the UK higher education sector is exposed to. This survey study used a modified list experiment to evaluate that risk. Most students surveyed were…
Descriptors: Foreign Countries, Artificial Intelligence, Cheating, Higher Education
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Julian F. Lohmann; Fynn Junge; Jens Möller; Johanna Fleckenstein; Ruth Trüb; Stefan Keller; Thorben Jansen; Andrea Horbach – International Journal of Artificial Intelligence in Education, 2025
Recent investigations in automated essay scoring research imply that hybrid models, which combine feature engineering and the powerful tools of deep neural networks (DNNs), reach state-of-the-art performance. However, most of these findings are from holistic scoring tasks. In the present study, we use a total of four prompts from two different…
Descriptors: Artificial Intelligence, Natural Language Processing, Essays, Writing Evaluation
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Owen Henkel; Libby Hills; Bill Roberts; Joshua McGrane – International Journal of Artificial Intelligence in Education, 2025
Formative assessment plays a critical role in improving learning outcomes by providing feedback on student mastery. Open-ended questions, which require students to produce multi-word, nontrivial responses, are a popular tool for formative assessment as they provide more specific insights into what students do and do not know. However, grading…
Descriptors: Artificial Intelligence, Grading, Reading Comprehension, Natural Language Processing
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Donggil Song – International Journal of Artificial Intelligence in Education, 2025
Artificial intelligence (AI) applications, including machine learning (ML), have received attention in education, and generative AI-powered chatbots have been adopted in diverse educational settings worldwide. However, the actual use of and perception regarding generative AI chatbots by learners have been under-investigated. To better prepare for…
Descriptors: Trust (Psychology), Undergraduate Students, Artificial Intelligence, Student Attitudes
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Manop Nammanee; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
The accelerating adoption of AI in education highlights the need for an assistant that is explicitly grounded in competency-based learning to develop learners' digital competencies. This study proposes the AI Assistant Framework on Competency-Based Learning for Digital Competency Development (AICoLED) and evaluates its appropriateness through…
Descriptors: Artificial Intelligence, Competency Based Education, Technology Uses in Education, Technological Literacy
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AbdElRahman ElSaid; Yao Shi; Mohamed Wiem Mkaour; Mahmoud Altalouli; Anas Tawfik – Journal of Information Systems Education, 2025
The growing integration of artificial intelligence (AI) into everyday life necessitates a transformation in machine learning (ML) education and development practices, empowering end users with domain knowledge to independently design, train, test, and deploy specialized ML models. However, the technical complexity of ML, particularly in areas such…
Descriptors: Open Source Technology, Artificial Intelligence, Usability, Computer Interfaces
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Zeger-jan Kock; Ulises Salinas-Hernández; Birgit Pepin – Digital Experiences in Mathematics Education, 2025
ChatGPT is a new technological tool with the potential to impact education. Using Vergnaud's notion of "use schemes," we analyzed three interviews with engineering students who discovered ChatGPT and started to develop initial utilization schemes of the tool. Results showed that there were three domains of use of ChatGPT: (a) in…
Descriptors: Engineering Education, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Adenike A. Akinrotimi; Temilola J. Popoola; I. E. Udo – International Journal of Education and Development using Information and Communication Technology, 2025
This paper investigates the impact of Artificial Intelligence (AI) on learning outcomes in Early Childhood Education (ECE) in Nigeria. While AI technologies hold the promise of transforming educational experiences through personalized learning, adaptive assessments, and enhanced engagement, their actual influence on young learners in the Nigerian…
Descriptors: Foreign Countries, Early Childhood Education, Artificial Intelligence, Cognitive Development
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Laura Landon; Nicole Grames; Maggie Gannon; Addison Jarus; Annie Trezza – Journal of Occupational Therapy Education, 2025
The integration of artificial intelligence (AI) in higher education has garnered much attention, prompting educators to thoughtfully examine its implementation within their curricula. This study explores the perceptions of occupational therapy (OT) students regarding the future integration of a novel, course-specific Anatomy AI chatbot: an…
Descriptors: Occupational Therapy, Allied Health Occupations Education, Artificial Intelligence, Computer Uses in Education
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Felix Weber; Hendrik Hubbertz – International Association for Development of the Information Society, 2025
Artificial Intelligence (AI) technologies are increasingly being integrated into educational environments, especially in areas such as student feedback and assessment. Among these applications, automated grading tools have garnered both interest and controversy for their potential to streamline evaluation processes while raising questions about…
Descriptors: Grading, Artificial Intelligence, Automation, Student Evaluation
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Zhanara Malikova; Bayan Ualikhanova – International Association for Development of the Information Society, 2025
In recent years, virtual reality (VR) and artificial intelligence (AI) technologies have been widely adopted across various sectors of society, including education. We conducted a practical study to assess the effectiveness of immersive technologies in higher education institutions. The research was carried out over a period of ten weeks. Students…
Descriptors: Energy, Magnets, Higher Education, Computer Simulation
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