TY - JOUR
T1 - Creative personal identity in the age of generative AI
T2 - A social-cognitive pathway of AI literacy, self-efficacy, and mindset
AU - Li, Hanhui
AU - Zhang, Yurui
AU - Chen, Mingwen
AU - Zhao, Tao
AU - Jou, Min
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2026/2
Y1 - 2026/2
N2 - With the rapid integration of generative artificial intelligence (AI) into higher education, its influence on students' creative development has drawn growing attention. However, little research has systematically examined how AI literacy (AIL) shapes university students’ creative personal identity (CPI). To address this gap, this study developed a moderated mediation model grounded in identity theory and social cognitive theory, positioning AIL as the predictor, creative self-efficacy (CSE) as the mediator, and creative mindset as the moderator. Using a cross-sectional design, the study employed structural equation modeling and multi-group analysis. The results show that AIL significantly and positively predicts CPI, with CSE partially mediating this relationship. Moreover, fixed and growth mindsets exerted distinct moderating effects across the model's pathways. Multi-group analysis further revealed that among students with more than two years of exposure to generative AI, the impact of AIL on CPI was stronger, whereas the influence of CSE on CPI was weaker. From both cognitive and psychological perspectives, this study clarifies the mechanisms through which AIL shapes students’ creative identity and highlights how differences in AI usage experience alter these pathways. The findings provide a theoretical foundation for understanding creative identity construction in the digital era and offer actionable insights for designing curricula and teaching practices that foster creativity in university education.
AB - With the rapid integration of generative artificial intelligence (AI) into higher education, its influence on students' creative development has drawn growing attention. However, little research has systematically examined how AI literacy (AIL) shapes university students’ creative personal identity (CPI). To address this gap, this study developed a moderated mediation model grounded in identity theory and social cognitive theory, positioning AIL as the predictor, creative self-efficacy (CSE) as the mediator, and creative mindset as the moderator. Using a cross-sectional design, the study employed structural equation modeling and multi-group analysis. The results show that AIL significantly and positively predicts CPI, with CSE partially mediating this relationship. Moreover, fixed and growth mindsets exerted distinct moderating effects across the model's pathways. Multi-group analysis further revealed that among students with more than two years of exposure to generative AI, the impact of AIL on CPI was stronger, whereas the influence of CSE on CPI was weaker. From both cognitive and psychological perspectives, this study clarifies the mechanisms through which AIL shapes students’ creative identity and highlights how differences in AI usage experience alter these pathways. The findings provide a theoretical foundation for understanding creative identity construction in the digital era and offer actionable insights for designing curricula and teaching practices that foster creativity in university education.
KW - AI literacy
KW - Creative mindsets
KW - Creative personal identity
KW - Creative self-efficacy
KW - Generative artificial intelligence
UR - https://www.scopus.com/pages/publications/105020377644
UR - https://www.scopus.com/pages/publications/105020377644#tab=citedBy
U2 - 10.1016/j.chb.2025.108838
DO - 10.1016/j.chb.2025.108838
M3 - Article
AN - SCOPUS:105020377644
SN - 0747-5632
VL - 175
JO - Computers in Human Behavior
JF - Computers in Human Behavior
M1 - 108838
ER -