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Exploring the impact of AI-assisted practice applications on music learners’ performance, self-efficacy, and self-regulated learning

AI in Education EditorialUpdated June 2, 20261 min readRead source
Exploring the impact of AI-assisted practice applications on music learners’ performance, self-efficacy, and self-regulated learning
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ORIGINAL RESEARCH article Front. Psychol. , 13 October 2025 Sec. Educational Psychology Volume 16 - 2025 | https://doi.org/10.3389/fpsyg.2025.1675762 Exploring the impact of AI-assisted practice applications on music learners’ performance, self-efficacy, and self-regulated learning J O Jiayi Ou 1 J N João Nogueira 1 C Q Chao Qin 2 * 1. CESEM/NOVA FCSH, Faculty of Social Sciences and Humanities, NOVA University of Lisbon, Lisbon, Portugal 2. School of Education, Yunnan Minzu University, Kunming, China Article metrics View details Abstract Introduction: Despite

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AI has already changed education by making personalized practice platforms standard in many classrooms, reducing teacher time spent on differentiation and rubric creation, enabling 24/7 student support through AI chatbots, expanding access to tutoring for students who lack resources for private instruction, and reshaping academic integrity policies globally.
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Documented negative impacts include increased academic dishonesty through AI-generated submissions, student over-reliance on AI that may weaken writing and critical thinking skills, privacy risks from student data processed by third-party AI vendors, equity gaps when premium AI tools are unavailable in under-resourced schools, and teacher uncertainty causing inconsistent implementation.
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