How to spot meaningful vs superficial AI use in dissertations | Question of the Day for #AskTurnitin

Question: When supervising projects and dissertations, what sort of indicators help you distinguish between meaningful AI-supported learning and superficial use of AI-generated outputs?
Yasmine Ezzeddine, Onboarding Consultant at Turnitin and former researcher and lecturer, shares:
"First, I look at the paper trail of the project. Meaningful learning leaves a messy, human footprint. A student who is using AI properly as a sounding board can show me their evolution such as their early mind maps, their draft progression, different versions of the drafts, and how their thesis shifted from week three to week six. Superficial use, on the other hand, usually results in a 'sudden breakthrough.' A perfectly polished, cohesive chapter suddenly appears out of nowhere..."
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