Human-AI Cognition & Performance / Learning Science and Adaptive Education
SUB-0039Metacognitive 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