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

SUB-0034

Personalised 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