Abstract
Artificial intelligence education is an important way to cultivate artificial intelligence talents, which is of great significance to social development. Based on the UTAUT model, we introduce Personal Innovation and Perceived Risk variables to explore the influencing factors of principals' willingness to adopt artificial intelligence education. The results show that: at present, the principals have a high willingness to adopt artificial intelligence education, but the actual development rate is low. Personal Innovation, Facilitating Conditions, Effort Expectancy, Performance Expectancy and Social Influence significantly positively affect the Adoption Intention of principals in artificial intelligence education, and Perceived Risk significantly negatively affect the Adoption Intention of principals. Finally, we put forward corresponding suggestions according to the conclusions, in order to optimize the promotion and implementation effect of artificial intelligence education.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
