Does AI ‐assisted creation of polyphonic music increase academic motivation? The DeepBach graphical model and its use in music education
Bibliographic Data
| ID | 21499790 |
|---|---|
| Authors | Na Yuan (0009-0001-2542-7305, School of Music and Dance Harbin University Harbin China, corresponding author) |
| Year | 2024 |
| Volume | 40 |
| Issue | 4 |
| Pages | 1365-1372 |
| Publication date | 2024-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Computer Assisted Learning (JOURNAL) |
| Journal identifiers | ISSN: 0266-4909 • E-ISSN: 1365-2729 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/jcal.12957 |
| OpenAlex | W4392001916 |
| Language | EN |
| Citations received | 5 |
| References cited | 34 |
Mathematics education · Multimedia · Music education · Pedagogy · Polyphony · Computer Science · Diverse Music Education Insights · Music Technology and Sound Studies · Neuroscience and Music Perception · Psychology
Differentiated Empowerment and Boundary Effects of AI-Assisted Music Learning
Utilizing AI and machine learning in vocal training programs
Music teachers’ perspectives on artificial intelligence tools
The Role of Technophilia, Positive Experience and Flow in Enhancing Learning Efficiency in AI ‐Based Music Education
AI ‐Powered Auditory Training and Its Role in Strengthening Musical Memory
Artificial Intelligence in Education
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
Artificial intelligence in education
Artificial intelligence in the creative industries
Personalized education and Artificial Intelligence in the United States, China, and India
A Postdigital Future for Music Education
Music in the Human Experience
| Citations per year | 5 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |