Use shared metacognition as the routine practice for educators and learners to critically evaluate AI-generated outputs¶
Strategy · All strategies
Evidence · no claims cited
Description¶
As an implementable activity, the article recommends that educators and learners collectively monitor and manage their thinking when encountering AI-generated outputs. Shared metacognition "offers a responsible pathway for educators and learners to engage critically with AI-generated outputs," so that technology "strengthens rather than supplants collaborative inquiry." In practice this means treating AI outputs as objects of collective, skeptical scrutiny within the community rather than as authoritative answers.
Design Implications¶
Context¶
Requirements¶
- A functioning community of inquiry in which metacognition can be shared collectively
Constraints¶
- The article presents this as an argued pathway, not an evaluated procedure
Target Learners¶
- higher education students
- educators
Target Learning Goals¶
- critical evaluation of AI-generated outputs
- collaborative reflection
Affordances¶
Related Strategies¶
- 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
- Support learners to evaluate AI outputs by verifying sources, reporting errors, and overriding recommendations
- Engage students in active learning assignments using generative AI with structured reflection and critique of AI outputs
- I Used To Think Now I Think
- Build metacognitive reflection opportunities into AI-integrated instruction to prevent cognitive overload
Examples¶
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Key Sources¶
- Stenbom, S., & Garrison, D. R. (2026). Artificial Intelligence and Communities of Inquiry: Reimagining Educational Experiences. The International Review of Research in Open and Distributed Learning, 27(2), 114–131. https://doi.org/10.19173/irrodl.v27i2.9314
Page metadata
| Field | Value |
|---|---|
type |
strategy |
id |
shared-metacognition-practice-for-ai-outputs |
title |
Use shared metacognition as the routine practice for educators and learners to critically evaluate AI-generated outputs |
description |
As an implementable activity, the article recommends that educators and learners collectively monitor and manage their thinking when encountering AI-generated outputs. |
status |
review |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — stenbom-2026 |
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