Exploring Chinese University Educators’ Acceptance and Intention to Use AI Tools: An Application of the UTAUT2 Model

Abstract

Artificial Intelligence (AI) tools are having a significant impact on the field of education, particularly when used by educators. This study aims to explore the acceptance of AI tools among university-level educators. Researchers adapted the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model to the Chinese educational context and surveyed 402 university educators. The findings revealed several predictors related to educators’ behavioral intention to use AI tools in teaching including performance expectancy, effort expectancy (which emerged as the strongest predictor), and hedonic motivation. Additionally, the study showed that the predictors of actual AI tool usage are facilitating conditions, habit (identified as the strongest predictor), and behavioral intention. Notably, the study found that gender, age, and experience did not have a moderating effect. This study contributes to the existing body of evidence on AI tool acceptance among university educators and holds implications for their training and professional development.

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