Human-AI Cognition & Performance / Mathematical Learning
SUB-0051Mathematical Reasoning
Definition
Mathematical Reasoning 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
Mathematical Reasoning 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
How can AI support explanation, proof and relational thinking rather than answer production?
Hypotheses
Socratic prompts requiring justification will improve reasoning quality more than worked solutions.
Proposed methods
diagnostic assessment; item-level telemetry; worked-example experiments; adaptive-practice trials; interviews; longitudinal progression analysis; 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
students; teachers; families; numeracy specialists; schools; curriculum authorities; employers; edtech providers; mathematics educators; numeracy intervention specialists