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.
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Will future music teachers accept generative AI?
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301 valid questionnaires were analysed.
A total of 301 valid questionnaires were collected.
Pilot reliability Cronbach’s alpha was 0.91.
Cronbach's alpha value of 0.91, demonstrating that the questionnaire is reliable.
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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