LALearnAdapt

Why LearnAdapt exists

LearnAdapt merges research-grade experimentation with production-ready tutoring so institutions can deliver precision support at scale.

Dual mission

The platform is a symbiotic environment for research and practice. In live classrooms, LearnAdapt powers adaptive experiences while capturing high-fidelity telemetry. Researchers use that evidence to compare models, policies, and content strategies—feeding improvements back into day-to-day instruction. The result: a continuous loop of evidence-driven iteration.

Explore experimentsRead the blueprint

Design principles

Modularity & Interoperability

Every intelligence—tutor, analytics, content, experiment—is a well-documented service so researchers can swap components without breaking the loop.

Evidence at the Core

Randomised experiments, LRS telemetry, and fairness metrics flow through the platform so decisions stay anchored in data, not anecdotes.

Responsible AI

Ethics reviews, audit trails, and guardrails are first-class features. We ship interventions only when safety, transparency, and consent are covered.

Human Collaboration

Teachers, researchers, and learners stay in control through dashboards, orchestration tools, and explainable agent outputs.

Integrated services

Experiment Service

Weighted and stratified assignment with SDKs in Node and Python, plus xAPI scaffolding for downstream analytics.

Tutor Intelligence

Rule-based flows augmented by LLM strategies, deployed with guardrails and captured in an audit trail.

Learning Record Store

Central telemetry store capturing every interaction, powering analytics, fairness ETL, and compliance reporting.

Studio Authoring

Templates, hints, and multimodal assets that sync into experiments and tutor policies with a versioned workflow.

Governance & partnerships

We co-design pilots with institutions, ensuring consent, safeguarding, and data residency requirements are embedded from day zero. Advisory boards review fairness metrics and incident reports, while teacher partners steer product priorities through structured feedback sessions.

Interested in collaborating? Contact the team or request a sandbox deployment to explore the APIs and dashboards.