Knowledge Retention

Definition

Knowledge Retention 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

Knowledge Retention 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

Which AI-supported practices produce durable retention rather than short-term performance?

Hypotheses

Retrieval practice with delayed AI feedback will outperform immediate explanatory assistance.

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; Knowledge Retention domain specialists; affected user advisory panel