Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 2

The DOI matches its Crossref record; the references it cites are not checked yet.

Suno AI: Opportunities and Challenges of AI-Generated Music and Lyrics in Secondary Music Education

Choi, Wan Chong, Chang, Chi In, Choi, Hong Fai·2025·Proceedings of the 2025 8th Artificial Intelligence and Cloud Computing Conference
DOI 10.1145/3789982.3790019
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/3789982.3790019

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

The citation lists haven’t been fetched yet

Cited by 2

Research works printed but not linked: 27

  1. 10.20944/preprints202501.1420.v1 · doi:10.20944/preprints202501.1420.v1
  2. 10.20944/preprints202504.2136.v1 · DOI
  3. W. C. Choi, J. Peng, I. C. Choi, H. Lei, L. C. Lam, and C. I. Chang, ‘Improving Young Learners with Copilot: The Influence of Large Language Models (LLMs) on Cognitive Load and Self-Efficacy in K-12 Programming Education’, in Proceedings of the 2025 International Conference on Artificial Intelligence and Education (ICAIE), Suzhou, China, 2025.
  4. 10.1109/ICIET66371.2025.11046263 · DOI
  5. W. C. Choi and C. I. Chang, ‘A Survey of Techniques, Key Components, Strategies, Challenges, and Student Perspectives on Prompt Engineering for Large Language Models (LLMs) in Education’, 2025, Preprints.org.
  6. 10.1145/3704289.3704301 · DOI
  7. 10.3390/info16080656 · DOI
  8. Suno, Inc., ‘Suno AI Music’. Accessed: Sept. 06, 2025. [Online]. Available: https://suno.com/
  9. 10.1007/s00521-024-10555-x · DOI
  10. B. D. Lund, T. H. Lee, N. R. Mannuru, and N. Arutla, ‘AI and academic integrity: Exploring student perceptions and implications for higher education’, Journal of Academic Ethics, pp. 1–21, 2025.
  11. M. Daley, ‘Music Education and Artificial Intelligence: A Conversational Editorial’, Action, Criticism, and Theory for Music Education, 2025.
  12. S. K. Whitfield, ‘Research Shorts: Generative AI in school music education’. Music Mark, Feb. 14, 2025. Accessed: Sept. 06, 2025. [Online]. Available: https://www.musicmark.org.uk/news/research-shorts-generative-ai-in-school-music-education/
  13. 10.1007/s44163-025-00475-7 · DOI
  14. 10.20944/preprints202508.0497.v1 · DOI
  15. C. I. Chang and W. C. Choi, ‘Exploring Challenges and Opportunities in Artificial Intelligence (AI) Literacy and Educational AI Development: A Qualitative Study of Teachers and Researchers’ Perspectives’, 2025.
  16. W. C. Choi and C. I. Chang, ‘What is Study Mode in GPT-5: Ways to Use AI-based Chatbot (ChatGPT) as Learning Tutors in Education’, Preprints, Aug. 2025.
  17. W. C. Choi and C. I. Chang, ‘WebSim: Benefits and Challenges of Designing Teacher-Authored Serious Games for Mathematics Learning in an AI World’, 2025, TechAxiv.
  18. L. Cheng, ‘The impact of generative AI on school music education: Challenges and recommendations’, Arts Education Policy Review, pp. 1–8, 2025.
  19. L. Väkevä and H. Partti, ‘Generative AI as a Collaborator in Music Education: An Action-Network Theoretical Approach to Fostering Musical Creativities’, Action, Criticism, and Theory for Music Education, vol. 24, no. 3, pp. 16–52, 2025.
  20. J. TREẞ, ‘Tracking Down the Musical Habitus of the Machine’, Action, Criticism, and Theory for Music Education, 2025.
  21. 10.1145/3719384.3719439 · DOI · Paper page
  22. B. L. Sturm, M. Iglesias, O. Ben-Tal, M. Miron, and E. Gómez, ‘Artificial intelligence and music: open questions of copyright law and engineering praxis’, in Arts, MDPI, 2019, p. 115.
  23. 10.69732/ITFV6200 · doi:10.69732/itfv6200
  24. R. Jiang, ‘Breaking the Boundaries: Philosophical Encounters with Artificial Intelligence in Music Education’, Action, Criticism, and Theory for Music Education, vol. 24, no. 3, pp. 53–78, 2025.
  25. SunoAI, ‘Suno AI v3.5: A Comprehensive Guide’. SunoAI. Accessed: Sept. 07, 2025. [Online]. Available: https://sunnoai.com/v3-5/
  26. SunoAI, ‘Suno AI Brand NEW 4.5+ UPDATE: Everything You Need To Know!’ SunoAI. Accessed: Sept. 07, 2025. [Online]. Available: https://sunnoai.com/v4.5-plus/
  27. B. G. Glaser and A. L. Strauss, ‘Grounded theory’, Strategien qualitativer Forschung. Bern: Huber, vol. 4, 1998.

Metadata

Authors
Choi, W. C., Chang, C. I., & Choi, H. F.
Venue
Proceedings of the 2025 8th Artificial Intelligence and Cloud Computing Conference
Publisher
ACM
Published
2025-12-20
Pages
281-292
DOI
10.1145/3789982.3790019
Cited by
2

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Suno AI: Opportunities and Challenges of AI-Generated Music and Lyrics in Secondary Music Education. https://app.cochat.ai/papers/10.1145/3789982.3790019
The paper
Choi, W. C., Chang, C. I., & Choi, H. F. (2025). Suno AI: Opportunities and Challenges of AI-Generated Music and Lyrics in Secondary Music Education. Proceedings of the 2025 8th Artificial Intelligence and Cloud Computing Conference. https://doi.org/10.1145/3789982.3790019

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.