{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T19:39:23Z","timestamp":1787945963323,"version":"build-2784847793"},"reference-count":46,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T00:00:00Z","timestamp":1760054400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Educ."],"abstract":"<jats:p>This study investigates how Chinese undergraduate music students\u2019 perceptions of AI-generated content (AIGC) are affected by generative artificial intelligence (GAI). To explain students\u2019 acceptance of generative AI, the study integrates the Stimulus\u2013Organism\u2013Response (SOR) framework with the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). A mixed-method approach was employed, involving 600 university students through quantitative surveys and qualitative interviews. The analysis explores students\u2019 responses to the uncanny valley effect, perceived usefulness and ease of use of anthropomorphic features, and intention to adopt the technology. Findings indicate that although the human-like aspects of AIGC cause discomfort, quantitative data show that students find components like voice interaction and emotional expression helpful for learning music. Qualitative evidence further reveals adaptive strategies to mitigate discomfort, including integrating AIGC with peer review. The study concludes that AIGC holds significant potential for enhancing music education but underscores the need to address the uncanny valley effect to foster greater emotional engagement. To better accommodate diverse student needs, future research should investigate potential long-term effects and support the development of customized AIGC tools.<\/jats:p>","DOI":"10.3389\/feduc.2025.1649747","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T05:27:57Z","timestamp":1760074077000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["How anthropomorphic AI features affect music students\u2019 acceptance: a study among Chinese undergraduates"],"prefix":"10.3389","volume":"10","author":[{"given":"Jingyuan","family":"Tan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clinton Chidibere","family":"Anyanwu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaoping","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sri","family":"Suryanti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,10,10]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"014","DOI":"10.53022\/oarjet.2024.7.1.0027","article-title":"Enhancing customer experience through AI-driven language processing in service interactions","volume":"7","author":"Abiagom","year":"2024","journal-title":"Open Access Res. 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