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Ran Jiang – Action, Criticism, and Theory for Music Education, 2025
Artificial Intelligence (AI) technology is reshaping the ways humans study and work across various disciplines. In the field of music, AI technology shows its possibility to empower individuals at diverse levels of musical knowledge in music creation, from novices to experts. In this article, I explore philosophical questions within both AI…
Descriptors: Educational Philosophy, Music Education, Artificial Intelligence, Computer Software
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Nannan Liu; Wenqiang Deng; Ahmad Fauzi Mohd Ayub – Education and Information Technologies, 2025
The rapid growth of technology has penetrated the realm of education, reshaping old teaching philosophies and improving educational approaches. Notably, the influence of Artificial Intelligence (AI) on English learning has become momentous. However, a critical issue is the lack of autonomy in AI-enabled English learning applications, leading to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, English (Second Language)
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Bin Liu; Yuanyuan Liao – Education and Information Technologies, 2025
The rapid advancement of generative AI technologies is increasingly accompanied by their broader application across various sectors, particularly within creative industries. In this study, IBM Watson BEAT software, based on generative AI technology, was tested as an educational tool in the process of teaching music composition theory to flute…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
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Alexander John Karran; Patrick Charland; Joé Trempe-Martineau; Ana Ortiz de Guinea Lopez de Arana; Anne-Marie Lesage; Sylvain Sénécal; Pierre-Majorique Léger – npj Science of Learning, 2025
Recognising a need to investigate the concerns and barriers to the acceptance of artificial intelligence (AI) in education, this study explores the acceptability of different AI applications in education from a multi-stakeholder perspective, including students, teachers, and parents. Acknowledging the transformative potential of AI, it addresses…
Descriptors: Stakeholders, Artificial Intelligence, Technology Uses in Education, Student Attitudes
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Minseong Kim; Jihye Kim; Tami L. Knotts; Nancy D. Albers – Education and Information Technologies, 2025
Integrating generative artificial intelligence (AI) tools like ChatGPT into education has reshaped academic practices, offering students innovative ways to engage with learning tasks. This study examines the cognitive, emotional, and behavioral factors influencing undergraduate students' engagement with ChatGPT, guided by the technology acceptance…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Factor Analysis
Irina Lyublinskaya; Xiaoxue Du – Corwin, 2025
In an era where artificial intelligence (AI) is revolutionizing every facet of life, from how we shop to how we get our news, it's inevitable that AI is changing the way we teach and the way students learn. For students to thrive in this world, they need more than just the ability to use technology; they need to understand how it works, its…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technological Literacy, Technology Integration
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Shahper Richter; Shohil Kishore; Inna Piven; Patrick Dodd; Guy Bate – British Journal of Educational Technology, 2025
This study investigates how anthropomorphic AI chatbot avatars, designed in line with the Stereotype Content Model (SCM) dimensions of warmth and competence, influence university students' perceptions of support for self-directed learning (SDL) activities. We examined student responses to two distinct avatars--one projecting warmth and the other…
Descriptors: Artificial Intelligence, Technology Uses in Education, Postsecondary Education, Computer Simulation
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Longwei Zheng; Anna He; Changyong Qi; Haomin Zhang; Xiaoqing Gu – British Journal of Educational Technology, 2025
In the field of education, the think-aloud protocol is commonly used to encourage learners to articulate their thoughts during the learning process, providing observers with valuable insights into learners' cognitive processes beyond the final learning outcomes. However, the implementation of think-aloud protocols faces challenges such as task…
Descriptors: Protocol Analysis, Learning Experience, Computational Linguistics, Computer Software
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Wanli Xing; Yukyeong Song; Chenglu Li; Zifeng Liu; Wangda Zhu; Hyunju Oh – British Journal of Educational Technology, 2025
This paper reports on a design-based research (DBR) study that aims to devise an artificial intelligence (AI)-powered teachable agent that supports secondary school students' learning-by-teaching practices of mathematics learning content. A long-standing pedagogical practice of learning-by-teaching is powered by a recent advancement of generative…
Descriptors: Artificial Intelligence, Mathematics Instruction, Technology Uses in Education, Middle School Students
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Jing Chen; Nur Azlina Mohamed Mokmin; Qi Shen; Hanjun Su – Education and Information Technologies, 2025
The History of Design course is a foundational component for art and design students; however, many students perceive it as abstract and unengaging, mainly due to its highly conceptual nature and traditional lecture-based teaching methods. To address these challenges, this study investigates the impact of AI-generated virtual instructors and a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Design, Computer Simulation
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Adam Finkel-Gates – Journal of Learning Development in Higher Education, 2025
This study examines the impact of AI, particularly ChatGPT, on academic integrity and assessment practices in higher education. As AI integration grows, concerns about its potential to undermine academic rigour and increase inequalities have surfaced. Through interviews with students and a lecturer, the research explores the benefits and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Evaluation Methods
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Stefanie Beninger; Alex Reppel; Julie Stanton; Forrest Watson – Journal of Marketing Education, 2025
The emergence of generative AI (GenAI) has illustrated that higher education needs to adapt to the technology. Its speed of evolution requires that we adequately prepare students for an ever-changing landscape. Toward achieving that aim, we draw on the concept of interpretive flexibility, where the interpretations, uses, and outcomes of a new…
Descriptors: Business Education, Marketing, Artificial Intelligence, Computer Software
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Yusuf Oc; Chahna Gonsalves; La Toya Quamina – Journal of Marketing Education, 2025
The integration of generative artificial intelligence (AI) tools is a paradigm shift in enhanced learning methodologies and assessment techniques. This study explores the adoption of generative AI tools in higher education assessments by examining the perceptions of 353 students through a survey and 17 in-depth interviews. Anchored in the Unified…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Seyma Yildirim-Erbasli; Okan Bulut; Carrie Demmans Epp; Ying Cui – Educational Technology Research and Development, 2025
Conversational agents have been designed to improve instruction quality and support student learning. In addition to their instructional use, they can be incorporated into assessment--conversation-based assessment (CBA). This study primarily introduces a CBA with selected-response and constructed-response tests as a formative assessment tool for…
Descriptors: Higher Education, Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education
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Kangkang Li; Jiaming Lan; Yongbin Hu – Educational Technology Research and Development, 2025
To investigate the potential of GPT-4.0 feedback to substitute teacher feedback in flipped classrooms, we conducted research that GPT-4.0 and a course teacher provided cognitive, praise, and mitigating feedback weekly via a course discussion platform, respectively. At the end of each topic, 89 third-year university students majoring in Educational…
Descriptors: Comparative Analysis, Artificial Intelligence, Feedback (Response), Questioning Techniques
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