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Human-AI Cognition & Performance / Learning Science and Adaptive Education

SUB-0039

Metacognitive Support

Definition

Metacognitive Support examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance in AI-supported settings.

Why this matters

Metacognitive Support may materially affect human capability, independence, confidence, safety and productivity. Poorly designed assistance can create hidden costs even where short-term output appears to improve.

Research questions

Can AI improve learners' ability to judge what they know and choose effective strategies?

Hypotheses

Prediction prompts and error reflection will improve calibration more than generic study advice.

Proposed methods

randomised classroom pilots; mastery-learning analysis; item-response modelling; learning analytics; interviews; longitudinal follow-up; pre-registered analysis; active comparison; subgroup and accessibility analysis; delayed retention or longitudinal follow-up; adverse-effect capture; reproducibility testing; participant debrief

Stakeholders and beneficiaries

learners; teachers; schools; families; curriculum authorities; education departments; edtech providers; researchers; Metacognitive Support domain specialists; affected user advisory panel