An Empirical Study on the Impact of AIGC on Labor Literacy: Construction and Validation of a SEMIGC, Labor Literacy, Structural Equation Modeling, Perceived Usefulness

This empirical study investigates the use of AI-Generated Content (AIGC) in labor literacy courses by analyzing relevant student data. It further examines students' labor literacy levels after completing these courses. By employing the Partial Least Squares Structural Equation Modeling (PLS-SEM) tool, this study establishes a structural equation model between students' perceived usefulness of AIGC and their labor literacy. The findings confirm a positive correlation between AIGC’s practice, perceived usefulness, critical cognition and students’ labor literacy, providing empirical support for the application of AIGC in enhancing labor literacy.