ArticleFrontiers in psychology2025
Exploring pre-service music teachers' acceptance of generative artificial intelligence: a PLS-SEM-ANN approach.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI-driven psychological and cognitive decision processes in professional practice: a systematic review using music teachers as an instrumental case.Frontiers in psychology · 2026Pooled it
- Selecting AI-enabled music learning technologies in higher education using AHP and TOPSIS.Scientific reports · 2026Article
- Configurational effects of personal innovativeness, self-efficacy, and perceived risk on AI adoption in media students.Scientific reports · 2026Article
- Instrumental music teachers' perceptions and acceptance of Al integration in teaching: a mixed-methods study based on the UTAUT2 model.Frontiers in psychology · 2026Article
- The effects of responsiveness, perceived warmth, and anthropomorphism on university students' use of conversational AI for learning support: a chain mediation analysis based on S-O-R framework.Frontiers in psychology · 2026Article
- Modeling music student teachers' behavioral intention of using artificial intelligence in China.Frontiers in psychology · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
Introduction: Based on the extended Unified Theory of Acceptance and Use of Technology Model 2 (UTAUT2), explores the intention to accept Generative Artificial Intelligence (Generative AI) technology in teaching and its influencing factors among pre-service music teachers in higher education. Method: Quantitative research. Results: The results indicate that Perceived Risk, Social Influence, and Habit significantly influence Behavioral Intention, while Behavioral Intention and Perceived Risk are key predictors of actual use behavior. Sensitivity analysis further confirms the central role of Behavioral Intention and the inhibitory effect of Perceived Risk. Discussion: The findings provide theoretical and practical guidance for promoting the application of generative AI in music education.
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Registered trials
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