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Mehmet Aydeniz – International Journal of Technology in Education and Science, 2025
The rapid integration of generative artificial intelligence (GenAI) tools into higher education has prompted both enthusiasm and concern among faculty members. While AI tools such as ChatGPT, Claude, and Scite.ai offer significant pedagogical benefits--including enhanced efficiency, personalized learning, and automated instructional support--they…
Descriptors: Artificial Intelligence, College Faculty, Teacher Attitudes, Technology Uses in Education
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Kaitlin A. Lucas; Alberto Lioy – Journal of Interactive Media in Education, 2025
Rich metaphors abound within the growing AI literacy research landscape, and there is no better place to look for them than within the rapidly proliferating number of AI literacy frameworks. Conceptual metaphors and AI literacy frameworks, which outline the skills, competencies, and dispositions needed to engage critically with AI, complement each…
Descriptors: Artificial Intelligence, Technological Literacy, Figurative Language, Higher Education
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Chaewon Lee; Lan Luo; Shelbi L. Kuhlmann; Robert D. Plumley; Abigail T. Panter; Matthew L. Bernacki; Jeffrey A. Greene; Kathleen M. Gates – Journal of Learning Analytics, 2025
The increasing use of learning management systems (LMSs) generates vast amounts of clickstream data, opening new avenues for predicting learner performance. Traditionally, LMS predictive analytics have relied on either supervised machine learning or Markov models to classify learners based on predicted learning outcomes. Machine learning excels at…
Descriptors: Electronic Learning, Prediction, Data Analysis, Artificial Intelligence
Kristin Bailey Wilson; Kristen Gay; Dylan Barth; Colette Chelf; Cristi Ford; Emma Zone – Online Learning Consortium, 2025
The role of generative Artificial Intelligence (AI) in education has been the topic of scholarly and public debate, and research shows that institutional support for student use of AI remains a challenge. Given the rapid growth and adoption of AI, it is crucial to understand how students in higher education both perceive and use these new…
Descriptors: Learner Engagement, Artificial Intelligence, College Students, Student Attitudes
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Eliseo Vilalta-Perdomo, Editor; Alessandra Scroccaro, Editor; David Ernesto Salinas-Navarro, Editor; Rosario Michel-Villarreal, Editor – Emerald Publishing Limited, 2025
Written by teachers for educators and researchers, this is the first handbook to present a series of insights that teachers may use to conceive, design, execute, and develop active learning experiences for authentic assessment that will enrich students' learning experiences. Active Learning considers a series of educational methods where students…
Descriptors: Active Learning, Performance Based Assessment, Transformative Learning, Cooperative Learning
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Liangyong Xue; Norliza Ghazali; Jazihan Mahat – International Journal of Technology in Education, 2025
The rapid integration of Artificial Intelligence (AI) in education has led to a surge in research on teachers' adoption of these technologies. However, there is a noticeable lack of comprehensive reviews synthesizing the current state of research on this topic. This study addresses this gap by systematically reviewing 33 studies published since…
Descriptors: Artificial Intelligence, Adoption (Ideas), Teacher Attitudes, Technology Uses in Education
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Chinnaphat Junruang; Issara Kanjug – Educational Process: International Journal, 2025
Background/purpose: In response to the increasing need to foster future-ready competencies, this study investigates the relationship between computational thinking (CT) and creative thinking (CrT) in early childhood. Traditional early education often overlooks the integration of these higher-order cognitive skills. This research aims to examine…
Descriptors: Foreign Countries, Preschool Children, Kindergarten, Artificial Intelligence
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Andrew Rockliffe – Design and Technology Education, 2025
Design and Technology (D&T) in the UK is approaching a crisis point, with declining enrolment, staffing shortages and increasing marginalisation in the curriculum. However, this paper argues that D&T is not a problem to be solved. Rather, it is a solution to be scaled. Positioned at the intersection of material practice, iteration and…
Descriptors: Design, Technology, Foreign Countries, Creativity
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Paula Andrea Estrada Palencia; Karen Patricia Agudelo Arteaga; Elvira Patricia Flórez Nisperuza – Educational Process: International Journal, 2025
Background/purpose: This article presents partial results of a document review that constitutes a key input for the doctoral thesis in Didactics of Science entitled "Model of teacher professional development for the inclusive teaching of chemistry in the academic middle school, mediated by artificial intelligence", developed at the…
Descriptors: Chemistry, Science Teachers, Secondary School Teachers, Artificial Intelligence
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Sacip Toker; Mahir Akgun – Innovations in Education and Teaching International, 2025
This study examines whether assessments focused on higher-order cognitive skills can help reduce AI-driven plagiarism in educational settings. A total of 123 participants completed three tasks of increasing complexity, aligned with Bloom's taxonomy, across four groups: control, e-textbook, Google, and ChatGPT. Results from repeated-measures ANOVA…
Descriptors: Artificial Intelligence, Plagiarism, Intervention, Difficulty Level
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Spencer J. Smith – Philosophical Studies in Education, 2025
This paper explores educators' use of generative artificial intelligence (AI) for their work. While educators might be more worried about their students farming out some of the tasks they are given to AI, there is an argument that educators ought to also be concerned about the damage done when they offload seemingly administrative or…
Descriptors: Artificial Intelligence, Educational Philosophy, Teacher Response, Technology Uses in Education
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Erik Voss – Language Testing, 2025
An increasing number of language testing companies are developing and deploying deep learning-based automated essay scoring systems (AES) to replace traditional approaches that rely on handcrafted feature extraction. However, there is hesitation to accept neural network approaches to automated essay scoring because the features are automatically…
Descriptors: Artificial Intelligence, Automation, Scoring, English (Second Language)
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Tai Ming Wut; Elaine Ah-heung Chan; Helen Shun-mun Wong; Jason K. Y. Chan – Education & Training, 2025
Purpose: Artificial intelligence (AI) has been used in the workplace for years. There are compulsory or elective AI courses in some universities for students to enroll in. With the wide adoption of AI in many industries now, employers also expect students to make good use of AI to enhance their work productivity and efficiency. Hence, the purpose…
Descriptors: Artificial Intelligence, Computer Literacy, Employment Potential, College Students
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Oliver Woollett – Curriculum Journal, 2025
Debate exists about the role and value of teaching spelling in the middle years of schooling. The increasing use of assistive technology in schools, has prompted questions about the time devoted to teaching spelling. Yet spelling and writing continue to be the means through which students are assessed as they move through school. In their study of…
Descriptors: Spelling Instruction, Curriculum Development, Computer Uses in Education, Artificial Intelligence
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Ruth A. Ortega-Dela Cruz; Ramiro Z. Dela Cruz – Journal of Teaching and Learning, 2025
The rapid advancement of artificial intelligence (AI) has generated significant interest within the educational sector, particularly in information technology (IT) education. This study explored the current challenges, opportunities, and future directions of AI in IT education in the Philippines, a nation working to enhance its educational system…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Educational Technology
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