Require: process-based assessment through metacognitive rationales for accepting or revising AI suggestions¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The third framework component shifts assessment from final products to process. The authors argue that grading the essay or code is insufficient in the age of GenAI and that 'students should be required to submit a brief rationale explaining why they accepted or revised the AI’s suggestions, thereby evidencing their critical engagement'. A passing grade should require evidence that the student critically evaluated AI suggestions, justified revisions, and verified the final output.

Design Implications¶

Context¶

Requirements¶

• Assessment tasks that elicit a brief metacognitive rationale, because the authors recognize that reviewing every interaction log is not scalable.

Constraints¶

Target Learners¶

• students completing AI-assisted assignments
• medical students

Target Learning Goals¶

• critical evaluation of AI suggestions
• verification of final output
• metacognitive reflection

Related Strategies¶

• Realign: deploy Socratic withholding protocols that delay direct answers for conceptual or diagnostic queries
• Refine: use inherent LLM limitations as organic adversarial examples for critique exercises
• Restrict: preserve AI-free cognitive sanctuaries where unassisted capability is practiced and assessed

Examples¶

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Key Sources¶

• Wang H and Shan W (2026). The safety gap: restoring productive struggle through pedagogically aligned generative AI. Front. Educ. 11:1757622. https://doi.org/10.3389/feduc.2026.1757622