Cultivating Talents
ZHAO Yuyang1; SANG Biao2
As generative artificial intelligence becomes embedded in higher education, individual differences in college students’ artificial intelligence literacy warrant attention. Using survey data from 1,364 college students, this study employed structural equation modeling to examine associations among life satisfaction, the overall importance attached to career-decision factors, creative growth mindset, and artificial intelligence literacy, while controlling for demographic, educational-stage, institutional, and disciplinary factors. Life satisfaction, the overall importance attached to career decision factors, and creative growth mindset were positively associated with artificial intelligence literacy; the first two were also positively associated with creative growth mindset. Both statistical indirect associations were significant, and the findings remained stable across alternative specifications. The results indicate that artificial intelligence literacy is associated with students’ current subjective evaluation of life, the importance they attach to career decision factors, and beliefs in the malleability of creativity. Because the data are cross-sectional and same-source self-reports, temporal ordering, causal direction, and mediation require further investigation.