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Personality traits measured by the HEXACO personality inventory and the dark triad predict university students' attitudes and misconduct behaviors related to generative artificial intelligence : Haiying Liang<sup>1</sup>, Xu Mao<sup>2</sup>, Michael J. Reiss<sup>3</sup>.


ABSTRACT: This study investigates how personality traits, specifically those measured by the HEXACO Personality Inventory and the Dark Triad, predict university students' attitudes toward generative artificial intelligence (GAI) and their engagement in GAI-related academic misconduct. The first objective was to develop and validate a Chinese-language scale to measure students' attitudes toward GAI in academic contexts. The newly developed GAI Attitudes Scale was tested for psychometric properties, showing high internal consistency (Cronbach's α = 0.92) and reliability. In the second part of the study, hierarchical linear regression analyses explored the relationship between personality traits and both GAI attitudes and misconduct behaviors. Findings indicated that Extraversion and Openness to Experi

SUBMITTER: Liang H 

PROVIDER: S-EPMC12647770 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature