Grounded theory analysis of professor interviews identifies five functional domains of graduate students' generative AI literacy¶

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? Selective coding of 15 main categories from professor interviews yielded five higher-order functional domains: cognitive foundation, operational skills, higher-order thinking, metacognitive reflection, and ethical responsibility. → Zhi Y 2026

Evidence¶

Zhi Y 2026¶

Zhi Y, Yang W and Huang K (2026) Modeling and measuring graduate students' generative AI literacy: a study based on Marzano's taxonomy. Front. Psychol. 17:1883978. https://doi.org/10.3389/fpsyg.2026.1883978

q2 · i? · qualitative · r2

Qualitative grounded theory study interviewing 14 professors from Double First-Class universities. Selective coding of 15 main categories, derived from 96 initial concepts condensed from 329 raw labels, produced the five functional domains; the authors state the formation was "entirely driven by the logical relationships among the categories".

"five higher-order aggregations were identified, corresponding to the five functional domains: cognitive foundation, operational skills, higher-order thinking, metacognitive reflection, and ethical responsibility."

Discussion¶

Related Claims¶

• The five-dimension structure and scale were validated with 308 graduate students, showing acceptable reliability and validity — related
• Coding achieved satisfactory inter-coder reliability and the model reached theoretical saturation — related
• Marzano's taxonomy chosen over Bloom's because it accommodates three knowledge types and positions metacognition and ethics — related
• The theoretical framework categorised SRL into four main categories (Metacognition, Low Cognition, High Cognition, Other) and eight subcategories — related