Understanding the Influencing Mechanism of GAI Dependence Among College Students: Perspective from I-PACE Model
摘要
With the rapid proliferation of generative artificial intelligence (GAI), its potential adverse effects, such as over-reliance, have increasingly garnered attention. Grounded in the theoretical framework of the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study investigates the relationships among college students’ social self-efficacy, academic anxiety, trust in GAI, and dependence on GAI. Utilizing structural equation modeling, the study analyzed data from 173 valid responses. The findings indicate that social self-efficacy positively predicts GAI trust and GAI dependence; academic anxiety significantly predicts both GAI trust and GAI dependence; and GAI trust positively predicts GAI dependence. This research extends the application of the I-PACE model to the domain of GAI, providing important practical guidance for promoting the healthy use of GAI and preventing over-reliance in educational settings.