Innovativeness and Optimism as Predictors of Generative AI Acceptance Among Pre-service Elementary School Teachers

Abstrak / Deskripsi Singkat

This study investigates Generative Artificial Intelligence (Gen AI) acceptance among Generation Z pre-service elementary school teachers by extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model with innovativeness and optimism as additional psychological predictors. As Gen AI becomes increasingly embedded in educational practice, understanding how future elementary school teachers perceive and accept this technology is critical for informing teacher preparation and digital transformation initiatives. Using a quantitative, cross-sectional survey design, data were collected from 563 pre-service teachers across four universities in Indonesia through an online questionnaire. Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS was used for data analysis.