Influence of Artificial Intelligence Emotional Trust on Academic Anxiety among College Students: A Moderated Chain Mediation Model

Objective - This study aims to determine the influence of artificial intelligence emotional trust (AIET) on the academic anxiety of college students. Methods - A questionnaire was used to survey a sample of 419 college students. Results - Results show that (1) AIET is significantly negatively correlated with negative low arousal and academic anxiety ( r =-0.45, -0.38, P <0.001) but positively correlated with time efficacy ( r =0.46, P <0.001). Moreover, negative low arousal is significantly negatively correlated with time efficacy ( r =-0.51, P <0.001) but significantly positively correlated with academic anxiety ( r =0.44, P <0.001). In addition, a significant negative correlation exists between time efficacy and academic anxiety ( r =-0.67, P <0.001). (2) Negative low arousal and sense of time efficacy are chain mediators in the effect of AIET on academic anxiety. (3) In the chain mediation, nonreactivity plays a moderating role in the relationship between time efficacy and academic anxiety. Conclusion - This research reveals the psychological factors that can lead to academic anxiety among college students. This research is beneficial to college educators to understand the formation of unhealthy learning behaviors among college students and has reference significance to college students to help them avoid serious mental health problems.