Impact of AI Education System Innovation on the usage Willingness of Higher Education Students

The purpose of this study is to investigate how students in higher education view the innovation of artificial intelligence (AI) education systems and to identify the factors that influence their willingness to use them through empirical analysis. Students' perceptions of AI education system innovation, their intention to utilize it, and its influencing mechanisms are all examined in this study, which is theoretically grounded in the Technology Acceptance Model (TAM). The research has shown that enhancing the technical design and user experience of AI education systems can significantly increase students' propensity to utilize them, offering empirical support for the innovative implementation of AI in higher education. The study enhances the existing literature and offers recommendations for the practical implementation of AI technology in higher education, thereby advancing educational informatization and improving teaching quality.