We design technical boundaries, place them within verified software frameworks, and use system telemetry to refine the architecture around human learning.

Inside SILT Labs

Human capacity is the boundary

AI should know
when to step back.

Protect confidence.

Preserve productive effort.

Keep educators in the loop.

Remember only with purpose.

Learner supportFeedbackEvidenceEducator insightHuman judgment

A learning system should leave the learner more capable, not more dependent.

Read our commitments

The people behind the inquiry

Different disciplines.
One responsibility.

Education, research, engineering, and adolescent development meet around the learner.

Meet our team and advisers

Adaptive learning systems

Esther Bawo Tsotso

Human-centered research

Adebayo Chike O.

AI systems, evaluation & governance

E.U. Eniang

Systems for Integrated Learning Technologies

Human learning should evolve alongside technologywithout losing what makes it human.

SILT studies how technology can strengthen learning, cognitive health, wellbeing, and behavioural health across the lifespan.

Explore our research Explore the evolution of learning

The Death of Socrates · Jacques-Louis David, 1787 · Public domain

The question beneath the technology

How do we ensure human learning evolutionnot just model performance, in an AI-embedded world?

Personal feedback

Support shaped by evidence of understanding.

Human oversight

Teachers remain inside consequential decisions.

Cognitive effort

AI asks, prompts, and pauses before it answers.

Responsible memory

Context with purpose, boundaries, and control.

Health & wellbeing

Cognitive and behavioural health across lifelong learning.

Follow the questions

Research moves through practice

Hypothesis.
Build. Observe. Calibrate.

Questions
Boundaries
Systems
Practice
Refinement