AI-Powered Auditory Training and Its Role in Strengthening Musical Memory: A Systematic Review in Higher Music Education
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| Title: | AI-Powered Auditory Training and Its Role in Strengthening Musical Memory: A Systematic Review in Higher Music Education |
|---|---|
| Language: | English |
| Authors: | Lin He, Zhao-ling Chen (ORCID |
| Source: | European Journal of Education. 2026 61(2). |
| Availability: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 12 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Information Analyses |
| Descriptors: | Artificial Intelligence, Music Education, Technology Integration, Technology Uses in Education, Memory, Auditory Training, Program Effectiveness |
| DOI: | 10.1111/ejed.70569 |
| ISSN: | 0141-8211 1465-3435 |
| Abstract: | Integrating artificial intelligence (AI) into music education has emerged as a transformative development, particularly in auditory training. This systematic review investigates the effectiveness of AI-powered auditory training tools in enhancing musical memory, specifically short-term, working, and long-term memory among university-level music students. In accordance with the PRISMA guidelines, eight peer-reviewed empirical studies published between 2017 and 2025 were selected using predefined inclusion and exclusion criteria. Findings indicate that AI-powered auditory training tools significantly improve learners' pitch discrimination, rhythmic accuracy, melodic recall, and auditory retention compared to conventional teaching approaches. These improvements were largely due to the tools' ability to deliver adaptive, engaging, and personalised learning experiences grounded in cognitive learning theories, such as spaced repetition, retrieval practice and multisensory integration. This review contributes to the growing literature advocating data-driven, learner-centred approaches to music pedagogy in the digital age. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1507056 |
| Database: | ERIC |
| Abstract: | Integrating artificial intelligence (AI) into music education has emerged as a transformative development, particularly in auditory training. This systematic review investigates the effectiveness of AI-powered auditory training tools in enhancing musical memory, specifically short-term, working, and long-term memory among university-level music students. In accordance with the PRISMA guidelines, eight peer-reviewed empirical studies published between 2017 and 2025 were selected using predefined inclusion and exclusion criteria. Findings indicate that AI-powered auditory training tools significantly improve learners' pitch discrimination, rhythmic accuracy, melodic recall, and auditory retention compared to conventional teaching approaches. These improvements were largely due to the tools' ability to deliver adaptive, engaging, and personalised learning experiences grounded in cognitive learning theories, such as spaced repetition, retrieval practice and multisensory integration. This review contributes to the growing literature advocating data-driven, learner-centred approaches to music pedagogy in the digital age. |
|---|---|
| ISSN: | 0141-8211 1465-3435 |
| DOI: | 10.1111/ejed.70569 |
