What question did this study set out to answer?

This study aims to create personality profiles at the facet level to explain university students' engagement with artificial intelligence.

How latent personality profiles shape student engagement with artificial intelligence from a facet-level five-factor model analysis

View Full Paper

Ask AI

Bookmark

This study aims to create personality profiles at the facet level to explain university students' engagement with artificial intelligence.
Conducted latent profile analysis on 412 university students using the Big Five personality framework.
Identified three distinct personality profiles: Resilient, Overcontroller, and Undercontroller.
Analyzed the impact of gender and academic discipline on profile membership.
The Resilient profile exhibited the highest cognitive, affective, and behavioral engagement with AI-supported learning.
The Undercontroller profile showed the lowest engagement levels.
Gender significantly influenced profile membership, with females more likely to be in the Resilient profile.

No takes yet. Share an insight, caveat, or question.

Latent profile analysis identifies distinct personality profiles affecting student engagement with AI, highlighting gender impacts.

Xia et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark