Supplementary file 1_Modeling and measuring graduate students’ generative AI literacy: a study based on Marzano’s taxonomy.docx

Existing research lacks both literacy models specific to graduate students and a unifying theoretical framework to explain each dimension’s functional role and interrelationships, constraining its cultivation and evaluation.</p>Methods<p>Semi-structured interviews with 14 professors were analyzed using grounded theory, with Marzano’s taxonomy of educational objectives serving as the theoretical framework for selective coding.

A corresponding scale was developed and empirically validated with 308 graduate students through exploratory factor analysis, confirmatory factor analysis, and reliability and validity tests.</p>Results<p>Five first-order dimensions and 15 s-order indicators were identified and validated through grounded theory analysis and questionnaire testing, with the scale demonstrating acceptable reliability and validity. Grounded theory analysis revealed that the five dimensions functioned as an interconnected whole.