Longitudinal Learning Progress

Definition

Longitudinal Learning Progress 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

Longitudinal Learning Progress 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

How can progress be measured meaningfully across changing content, contexts and supports?

Hypotheses

Growth models combining mastery, independence and transfer will represent progress better than raw accuracy.

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