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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
Hui Yang – International Review of Research in Open and Distributed Learning, 2025
This study explored the impact of digital technologies on the development of musical skills among music students. A learning experiment was conducted with 66 students between the ages of 18 and 21 from China, France, Italy, and Spain. The study used the methods of a survey and online discussions. Participants verified that the present advancement…
Descriptors: Foreign Countries, Young Adults, Music Education, Music
Christine Ladwig; Dana Schwieger; Reshmi Mitra – Information Systems Education Journal, 2025
The rapid rise of AI use is creating some very serious legal and ethical issues such as bias, discrimination, inequity, privacy violations, and--as creators everywhere fear--theft of protected intellectual property. Because AI platforms "learn" by scraping training materials available online or what is provided to them through their…
Descriptors: Copyrights, Plagiarism, Intellectual Property, Computer Software
Melissa Warr; Marie K. Heath – Journal of Teacher Education, 2025
In this article, we explore the concept of a "hidden curriculum" within generative AI, specifically Large Language Models (LLMs), and its intersection with the hidden curriculum in education. We highlight how AI, trained on biased human data, can perpetuate societal inequities and discriminatory practices despite appearing objective. We…
Descriptors: Hidden Curriculum, Artificial Intelligence, Computer Software, Technology Integration

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