the Effect of Artificial Intelligence Literacy on Artificial Intelligence Anxiety: the Mediating Role of Perceived Cognitive Load

Abstract

The purpose of this research was to Analysis of Artificial Intelligence Literacy on Artificial Intelligence Anxiety by mediating Cognitive Load On. The method of the current research was descriptive-correlation with emphasis on structural equation modelling. The statistical population of the research was all postgraduate students (320) (master's and doctoral) of the Islamic Azad University, Kazerun Branch. Based on the Krejci and Morgan table, 175 people were selected as the statistical sample of the research using simple random sampling. Data was collected using AI Anxiety scale (Wang and Wang, 2022), AI literacy scale (wang 2023) and cognitive load questionnaire (Oktaviyanthi2024). The reliability of the questionnaires was assessed using the Cronbach's Alpha Coefficient, which was equal to .89, .91, and .87 respectively. Data analysis was done with SPSS 24 and SPLS 3 software. The results showed that AI literacy has an effect on cognitive load, cognitive load has an effect on AI anxiety, and the effect of AI literacy on AI anxiety is significant (P<0.01). Also, examining the indirect effect showed that cognitive load plays a mediating role in the relationship between AI literacy and AI anxiety.