WORLD-RECOGNIZED TECHNOLOGICALLY EFFICIENT METHODS TO IMPROVE THE EFFECTIVENESS OF MUSIC LESSONS
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| Format: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901862933856256 |
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| author | Rajabova, Mehriniso |
| author_facet | Rajabova, Mehriniso |
| contents | <table> <tbody> <tr> <td> <p><em>This article explores the role of Artificial Intelligence and Intellectual Audio Analysis (AI-Driven Assessment) methods in enhancing the effectiveness of music education. It analyzes the capabilities of platforms such as SmartMusic, Yousician, and Solfeg.io to perform real-time performance analysis and visualize student errors</em><em> </em></p> </td> </tr> </tbody> </table> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18323865 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | WORLD-RECOGNIZED TECHNOLOGICALLY EFFICIENT METHODS TO IMPROVE THE EFFECTIVENESS OF MUSIC LESSONS Rajabova, Mehriniso <table> <tbody> <tr> <td> <p><em>This article explores the role of Artificial Intelligence and Intellectual Audio Analysis (AI-Driven Assessment) methods in enhancing the effectiveness of music education. It analyzes the capabilities of platforms such as SmartMusic, Yousician, and Solfeg.io to perform real-time performance analysis and visualize student errors</em><em> </em></p> </td> </tr> </tbody> </table> |
| title | WORLD-RECOGNIZED TECHNOLOGICALLY EFFICIENT METHODS TO IMPROVE THE EFFECTIVENESS OF MUSIC LESSONS |
| url | https://doi.org/10.5281/zenodo.18323865 |