Research on Artificial Intelligence Technology Trust of University Teachers

Abstract

With the deep integration of artificial intelligence (AI) technology in education, university faculty’s trust in AI directly influences their adoption willingness and teaching effectiveness. This study employs a questionnaire survey method to collect 200 samples, systematically examining the current state of AI trust among university teachers through the framework of Technology Trust Theory. Descriptive statistical analysis reveals that teachers’ overall trust in AI technology remains moderate. T-test analysis identifies gender based differences in technical trust, while one-way ANOVA furthe demonstrates variations across age, educational background, academic rank, discipline, institution type, and teaching experience. Notably, teachers’ educational qualifications and institutional types significantly impact their AI trust levels.