Perception of AI tool adoption and training: initial validation using GSEM method

Abstract

Purpose This study develops and validates the “Perception of the Adoption and Training in the Use of Artificial Intelligence Tools in the Profession” instrument, designed to measure Latin American university students' attitudes and perceptions regarding AI training in their professional education across diverse fields.

Design/methodology/approach The instrument was administered to 238 students from various disciplines at a Mexican university. Structural validity and reliability were assessed using a generalized structural equation model (GSEM) with quasi-maximum likelihood (QML) to handle data non-normality and analyze latent construct relationships.

Findings Results show high internal consistency and validity, with strong correlations between items and constructs of “attitude” and “perception of AI training value.” The study found significant relationships between understanding AI tools and the perceived value of AI training, as well as between this perception and attitudes toward incorporating AI in professional training.

Practical implications The instrument helps institutions identify student attitudes and training needs related to AI, enabling tailored curricula and training programs that foster positive AI acceptance, thus preparing students for modern technological challenges.

Originality/value This study offers a validated instrument tailored to the Latin American context, addressing a gap in measuring student perceptions of AI in professional training. It serves as a diagnostic tool for educators and policymakers in designing AI-integrated pedagogical strategies that align with student needs.