Music Education With <scp>GenAI</scp> : Exploring the Mediating Roles of Enjoyment Between Smart Service Interactional Experience and Behavioural Intention

ABSTRACT The effectiveness of generative artificial intelligence (GenAI) in supporting music learning has been widely recognised. However, this effectiveness can be realised provided that music students are willing to adopt the technology. As such, this study aims to explore the factors influencing music students' acceptance of GenAI. Using cognitive emotion theory (CET) as a framework, this study investigates how smart service interaction experience (SSIE) affects behavioural intention through enjoyment. Data were collected from 458 music students across various Chinese colleges using three validated scales. Analysis using Smart PLS 4.0 revealed several noteworthy findings: only the SSIE dimensions of ‘efficiency’ and ‘flow’ positively influenced enjoyment, whereas the remaining six dimensions showed no significant effects. Additionally, enjoyment was found to positively influence behavioural intention. Notably, the dimension of ‘seamlessness’ strongly promoted behavioural intention, whereas ‘safety’ unexpectedly had a negative impact. The other six dimensions showed no significant effect. Furthermore, only ‘efficiency’ was found to indirectly and positively influence behavioural intention through enjoyment. The study discusses the potential reasons behind these findings and provides implications for future research.