Support learners to evaluate AI outputs by verifying sources, reporting errors, and overriding recommendations¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

Under Encourage Evaluation of Emerging Technologies, the framework recommends providing "opportunities to verify sources and cross-check information as well as opportunities for users to report errors or bias in generated outputs." Learners should reflect on the accuracy and potential bias of outputs, and "learners and educators to confirm, override, adapt, and modify outputs or recommendations as needed for the intended purpose and audience."

Design Implications¶

Context¶

Requirements¶

• Tools must allow users to report errors or bias and to confirm, override, adapt, or modify outputs

Constraints¶

Target Learners¶

• Learners and educators using AI-enabled tools

Target Learning Goals¶

• Critical thinking and critical evaluation of emerging technologies

Affordances¶

• Skill Building Emerging Tech Durable Skills

Claims¶

• Design students report low trust in GenAI outputs and systematically modify and verify them, with inaccuracy the main deterrent [+W]

Related Strategies¶

• Engage students in active learning assignments using generative AI with structured reflection and critique of AI outputs
• Require students to justify how they used AI output: what they accepted, rejected, revised, or verified, and why
• Build in stop-and-reflect moments asking students what thinking they are doing versus what thinking the AI is doing
• Use shared metacognition as the routine practice for educators and learners to critically evaluate AI-generated outputs
• Design curricula giving students opportunities to critically engage with AI and AI-generated content through validation, interpretation, and revision tasks

Examples¶

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Key Sources¶

• Pattenhouse, M., Noakes, S., Mills, K., Shell, A., & Vollavanh, A. (2025, November). Framework for Powerful Learning with Emerging Technology. Digital Promise. https://doi.org/10.51388/20.500.12265/275