Require students to justify how they used AI output: what they accepted, rejected, revised, or verified, and why¶

Strategy · All strategies
Evidence · no claims cited

Description¶

This implementable teacher move comes from the guide's critical-thinking section: "Require students to justify how they used output from AI: What did they accept, reject, revise, or verify, and why?" It operationalizes the principle that AI output should serve as an object to critique, compare, or verify, and depends on students first having enough background knowledge to evaluate AI-generated content.

Design Implications¶

Context¶

Requirements¶

• Students must have enough background knowledge on a topic and understand how to evaluate AI-generated content before using AI

Constraints¶

Target Learners¶

• K-12 students using AI tools in class

Target Learning Goals¶

• Critical evaluation of AI outputs and accountable use of AI in coursework

Related Strategies¶

• Build in stop-and-reflect moments asking students what thinking they are doing versus what thinking the AI is doing
• Engage students in active learning assignments using generative AI with structured reflection and critique of AI outputs
• Support learners to evaluate AI outputs by verifying sources, reporting errors, and overriding recommendations
• Use shared metacognition as the routine practice for educators and learners to critically evaluate AI-generated outputs

Examples¶

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Key Sources¶

• Digital Promise. (2025). Everyone's talking about AI, but what does the research say about how it should be used for learning? https://digitalpromise.org