technology-acceptance
Will future music teachers accept generative AI?
Open access · cc by · source: Europe PMC
Among 301 pre-service music teachers, perceived risk, social influence, and habit shaped intention to use generative AI; intention and perceived risk predicted actual use.
Key findings
Perceived Risk, Social Influence, and Habit significantly influenced Behavioral Intention; Behavioral Intention and Perceived Risk predicted actual use. Pilot Cronbach’s alpha was 0.91; sample met power target of 301.
Methodology
Extended UTAUT2 with Perceived Compatibility and Perceived Risk, surveyed pre-service music teachers, and analysed drivers of Behavioral Intention and Actual Usage with PLS-SEM plus ANN.
Limitations
Cross-sectional self-report in one national training context cannot prove classroom outcomes or causal effects of training interventions.
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