Transfer of Learning

Definition

Transfer of Learning 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

Transfer of Learning 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 does learning with AI transfer to new tasks and unaided contexts?

Hypotheses

Varied practice and explanation generation will improve transfer more than repeated success on similar items.

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