Human-AI Cognition & Performance / Learning Science and Adaptive Education
SUB-0040Feedback Timing
Definition
Feedback Timing 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
Feedback Timing 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
When should feedback be immediate, delayed or withheld to maximise learning?
Hypotheses
Immediate feedback will best correct misconceptions, while delayed feedback will better support retention for already-mastered material.
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; teachers; instructional coaches