Human-AI Cognition & Performance / Learning Science and Adaptive Education
SUB-0034Personalised Learning Pathways
Definition
Personalised Learning Pathways 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
Personalised Learning Pathways 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
Do learner-specific sequences improve mastery and motivation compared with fixed curricula?
Hypotheses
Pathways based on prerequisite mastery and learning behaviour will improve retention more than preference-based personalisation.
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; instructional designers; assessment researchers