Exploring the mediating role of attitude toward use in GenAI adoption for pre-service music teacher
Insights from the UTAUT2 framework
Bibliographic Data
| ID | 22166177 |
|---|---|
| Authors | Qi Chen (0000-0002-2835-5394, Wuhan Donghu University), Qihuan Chen (Wuhan Donghu University), Li Pan (0009-0006-6596-1277, Shandong Xiehe University), Yannan Liu (0000-0002-9583-079X, Shandong Xiehe University), Xiaojing Sun (0000-0003-4034-8207, Inner Mongolia University), Jiyon Lee (0000-0003-0036-8828, Sehan University) |
| Year | 2026 |
| Volume | 11 |
| Publication date | 2026-04-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Education (JOURNAL) |
| Journal identifiers | ISSN: 2504-284X • E-ISSN: 2504-284X |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/feduc.2026.1793554 |
| OpenAlex | W7151521223 |
| Language | EN |
| References cited | 62 |
Introduction The rapid advancement of Generative AI (GenAI) has transformed educational practices, particularly in music education, offering new tools for enhancing teaching and learning experiences. However, research on its adoption by pre-service music teachers remains limited, particularly in understanding how cognitive and emotional factors influence their acceptance of these tools in real-world teaching contexts. Methods Based on the UTAUT2 framework, this study examines the factors influencing the adoption of GenAI by 848 pre-service music teachers from eight universities in China, focusing on the mediating role of their attitude in the technology acceptance process to enhance its integration into music education. The data were analyzed using Covariance-Based Structural Equation Modeling to test the hypothesized relationships between constructs and evaluate the mediating role of attitude toward use in pre-service music teachers’ adoption of GenAI. Results The hypothesis testing showed that most direct paths were significant, except for the direct effect of price value on behavioral intention. Mediation analysis found that ATU significantly mediated the relationships between predictors and BI. Adding ATU increased the model's explanatory power, with the R 2 for behavioral intention rising from 0.520 to 0.582. Discussion The discussion highlights that attitude toward use plays a crucial role in mediating the adoption of GenAI by pre-service music teachers, emphasizing the importance of both cognitive and emotional factors in technology acceptance. The findings suggest practical implications for educational administrators and GenAI developers to design user-friendly tools, provide supportive resources, and encourage positive attitudes through peer collaboration and hands-on experiences
Cognition · Generative grammar · Mediation · Structural equation modeling · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Explainable Artificial Intelligence (XAI
The technology acceptance model (TAM)
Preparing pre-service teachers to integrate technology in education
Understanding Information Technology Usage
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT)
Educational Technology Adoption
Cutoff criteria for fit indexes in covariance structure analysis
Statistical notes for clinical researchers
The theory of planned behavior
User Acceptance of Information Technology
Consumer Acceptance and Use of Information Technology
Common method biases in behavioral research
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
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How pre-service teachers perceive their 21st-century skills and dispositions
Technology-enhanced creativity in K-12 music education
Understanding university students’ behavioral intention to use Edmodo through the lens of an extended technology acceptance model
Musicians’ ethical concerns about AI
Investigating the role of emotions in pre-service teachers’ acceptance and use of learning management systems
Reimagining pedagogy for the GenAI era
A critical review of GenAI policies in higher education assessment
How Social and Organizational Support Influence Online Teaching Experience in China? Exploring the Mediating Role of Technological Efficacy and Innovation Awareness
Generative AI
Teachers' Continued VR Technology Usage Intention
Developing an Extended Theory of UTAUT 2 Model to Explore Factors Influencing Taiwanese Consumer Adoption of Intelligent Elevators
| Citation velocity | historical |
|---|---|
| Highly cited | No |