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Anqi Dou; Wei Xu; Ruijia Liu – International Journal of Information and Communication Technology Education, 2025
Artificial intelligence (AI)-based chatbots like ChatGPT represent a promising technological advancement that has the potential to revolutionize the field of education. Therefore, it is imperative to continue exploring and developing such AI-based tools to improve the learning outcomes of students. This study conducted a bibliometric review of…
Descriptors: Foreign Countries, Literature Reviews, Bibliometrics, Artificial Intelligence
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Yu-Hung Chiang; Chien-Shan Huang; Ling-Shan Hung; Tien-Chi Huang – Innovations in Education and Teaching International, 2025
The rapid integration of generative artificial intelligence (AI) in higher education has prompted a growing interest in its pedagogical implications. However, there is limited empirical research examining how these tools influence student engagement in complex and practice-oriented courses, particularly in enterprise resource planning (ERP)…
Descriptors: Artificial Intelligence, Undergraduate Students, Technology Uses in Education, Learner Engagement
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Muna Slehat; Aseel Ajlouni; Ayman Harb; Ziad Alrawadieh; Nermin A. Khasawneh – Journal of Social Studies Education Research, 2025
In an era where technology is reshaping education, generative artificial intelligence (GenAI) has emerged as a powerful tool for transforming educational practices across disciplines. Tourism Management, as an applied field requiring a blend of conceptual, interpersonal, and technical competencies, can greatly benefit from the integration of GenAI…
Descriptors: Undergraduate Students, Technology Uses in Education, Artificial Intelligence, Affordances
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Jin Chen; Zhuoyan Wang; Xinyu Zhou – Higher Education Studies, 2025
With the growing integration of artificial intelligence (AI) tools into academic writing, especially in second language (L2) contexts, there is a pressing need to understand how disciplinary background and AI-mediated environments shape students' writing strategies. Grounded in Activity Theory, this study investigates the academic writing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Academic Language, Writing (Composition)
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Yasuyo Sawaki; Yutaka Ishii; Hiroaki Yamada; Takenobu Tokunaga – Language Testing, 2025
This study examined the consistency between instructor ratings of learner-generated summaries and those estimated by a large language model (LLM) on summary content checklist items designed for undergraduate second language (L2) writing instruction in Japan. The effects of the LLM prompt design on the consistency between the two were also explored…
Descriptors: Interrater Reliability, Writing Teachers, College Faculty, Artificial Intelligence
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Julio Antonio Álvarez Martínez; Juan Fernando Gómez; Claudio Díaz Larenas; Abad Ernesto Parada Trujillo; Lizeth Marelly Álvarez Salas; Fabio Alberto Vargas Agudelo – Journal of Educators Online, 2025
In the 21st century, Artificial Intelligence (AI) has become an important element of human experience. Its application in English-language education should enhance students' linguistic abilities. However, there is a scarcity of research on the anxiety and demotivation in them that occurs from incorporating AI in teaching and learning English on…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Electronic Learning
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Suliman Zakaria Suliman Abdalla; Amal Khalfan Rashid AlSalti – Educational Process: International Journal, 2025
Background/purpose: This study examines the behavioral factors influencing the adoption of AI-powered generative technologies in higher education and their impact on students' cognitive engagement--a crucial element of sustainable, inclusive, and high-quality learning, as envisioned by UNESCO's Sustainable Development Goal 4 (SDG4). The study…
Descriptors: Artificial Intelligence, Cognitive Development, College Students, Computer Uses in Education
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Semih Ucar; Salih Gulen – Journal of Education in Science, Environment and Health, 2025
The importance of artificial intelligence in daily life is increasing every day. This situation is inevitably reflected in educational environments. However, using artificial intelligence also causes anxiety. This study aims to determine the anxiety levels of preschool preservice teachers regarding artificial intelligence and examine them using…
Descriptors: Artificial Intelligence, Anxiety, Preschool Teachers, Preservice Teachers
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Franklin S. Allaire; Katherine Perrotta – Journal of Research in Education, 2025
As artificial intelligence (AI) becomes increasingly integrated into academic spaces, questions about authorship, authenticity, and peer review are becoming more urgent. This exploratory study investigates the implications of AI-generated conference proposals by submitting a single, AI-authored proposal to 20 local, state, national, and…
Descriptors: Educational Research, Conferences (Gatherings), Artificial Intelligence, Technology Uses in Education
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Xue Ran; Zhigang Li; Yalin Yang – SAGE Open, 2025
Against the backdrop of the deep integration of chatbots into education, this study, based on Self-Determination Theory (SDT) and the UTAUT model, constructed a model of factors influencing college students' self-directed learning ability in programming. Through a review of existing literature, six key determinants were identified: learning…
Descriptors: Programming, College Students, Independent Study, Artificial Intelligence
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Vasiliki Paltsoglou; Kostas Zafiropoulos – Open Education Studies, 2025
The usage of artificial intelligence (AI) in education is quickly growing, with chatbots gaining popularity as potential tools for supporting teaching and learning. This study looks into the elements that influence teachers' willingness to use chatbots in their teaching techniques. Drawing on the Unified Theory of Acceptance and Use of Technology,…
Descriptors: Foreign Countries, Elementary School Teachers, Artificial Intelligence, Natural Language Processing
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Fiachra Long – Studies in Philosophy and Education, 2025
Conversation of a particular sort holds the key to learning. I argue here that peer to peer conversation promotes two features that are essential to progressive learning, namely 'contestation' and 'communication.' Traditional learning is principally concerned with whether students have reached a standard of knowledge and skill prescribed by some…
Descriptors: Artificial Intelligence, Natural Language Processing, Intelligent Tutoring Systems, Peer Relationship
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Aditi Jhaveri – Journal of the Scholarship of Teaching and Learning, 2025
This essay examines the potential impact of paid-for or premium language models, where some students may be able to afford advanced models generating superior outputs while others could face inequities due to financial constraints. It explores how this dynamic can exacerbate the digital divide, challenge traditional as well as more recent…
Descriptors: Natural Language Processing, Artificial Intelligence, Technology Uses in Education, Equal Education
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Yunze Liu; Hasan Tinmaz – Higher Education Quarterly, 2025
This study focuses on the interpretation and implementation of artificial intelligence policies in higher education for mainland China, Hong Kong and Macau. The researchers applied a conceptual comparative review of regulatory frameworks and institutional discretion by utilising Policy Implementation Theory and Multi-Level Governance. From the…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, Educational Policy
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Pamela Marie Patrick; Sun Yee Yip; Chynna Campbell – Higher Education Quarterly, 2025
Since 2022, Artificial Intelligence has taken the education field by storm, resulting in a proliferation of research on AI's benefits, challenges, and pitfalls. A particular area of concern and uncertainty centers around AI and its impact on higher-order thinking skills. This qualitative systematic review comprising 31 articles aims to gather and…
Descriptors: Artificial Intelligence, Thinking Skills, College Students, College Faculty
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