Faculty and administrators in private institutions in Sichuan completed a four-domain AILit measure: Engaging, Creating, Designing and Managing. CFA supported reliability (alpha 0.86-0.93); SEM linked all domains to innovation at p0.95, TLI>0.94 and RMSEA
Key findings
- Alpha 0.86-0.93; all domains predicted innovation at p
Why this matters globally
Universities can use the framework to design development spanning use, creation, workflow design and governance and assess role-specific gaps.
Thai researcher contribution
Chi Che of Payap University contributes to an AI-literacy model for higher-education management, although participants were in China.
Limitations to consider
Sample size and sampling are absent; one province and private institutions limit generalization; self-rated literacy and innovation may inflate common-method paths; excellent fit is not causal truth; p-values omit practical effect sizes and direction can reverse.