Structure GenAI use guidelines as a scaffold progressing from what GenAI is, through affordances, to consequences and collective responsibilities¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article recommends that institutional GenAI guidelines be broader than academic-integrity rules and be layered to match students' mental models. Guidelines should progress "from awareness of what GenAI is and how it works, through its educational affordances and productivity implications, to its long-term consequences and the collective responsibilities it entails." This scaffolded design meets students at their current understanding while expanding it toward integrated, consequence-aware thinking.

Design Implications¶

Context¶

Requirements¶

• Guidelines must address not only permitted use but why responsible use matters at technical, educational, ethical, and societal levels

Constraints¶

• The article notes current guidelines focusing narrowly on plagiarism, disclosure, and permitted use align with only one dimension of student conceptions

Target Learners¶

• undergraduate students across mental model clusters

Target Learning Goals¶

• responsible and ethical GenAI use; integrated consequence-aware reasoning about GenAI

Affordances¶

• Genai Mental Model Taxonomy Five Categories

Related Strategies¶

• Institutional governance should establish practical conditions supporting AI literacy, learner agency, and critical evaluation rather than relying on prohibition and detection
• Foster communities of practice for AI governance instead of rigid top-down policies
• Cultivate learners' critical AI literacy and integrity-focused group practices for GenAI-supported group work
• Align AI guidelines with broader institutional policies while addressing discipline-specific learning objectives and workforce demands

Examples¶

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Key Sources¶

• Amrita Ganguly, Sai Sharanya Garika, Aditya Johri. (2026). Uncovering Students' Mental Models of Generative Artificial Intelligence. https://www.google.com/search?q=%22Uncovering+Students%27+Mental+Models+of+Generative+Artificial+Intelligence%22