Education & Training
Biometric feedback learning that adapts to attention and cognitive load in real time, from classrooms to simulation.
Learning That Listens
Every learner is different. Yet educational content delivers the same pace, the same complexity, the same approach to everyone. When attention wanders, the content marches on.
Our technology enables educational content that genuinely adapts—slowing when comprehension struggles, accelerating when engagement is high, shifting modality when attention drifts.
Applications
Adaptive Learning
Content that adjusts complexity and pacing based on cognitive load indicators. Material that re-engages when attention drifts.
Corporate Training
Maintain engagement throughout mandatory training. Content that ensures comprehension before moving forward.
Medical Simulation
Training scenarios that adapt to trainee stress response and performance. Build competence under pressure progressively.
Flight Simulation
Scenario generation based on pilot stress and performance. Emergency training that builds genuine readiness.
Military Training
Stress inoculation with generated combat scenarios. Build mental resilience with precisely calibrated challenges.
Language Learning
Pacing based on cognitive load and retention indicators. Conversation practice that matches your actual level.
Target Partners
EdTech
- Coursera
- Khan Academy
- Duolingo
- Chegg
- Udemy
Enterprise
- Cornerstone
- Workday Learning
- LinkedIn Learning
- SAP Litmos
Simulation
- CAE
- L3Harris
- FlightSafety
- Boeing Training
Government
- DoD
- DHS
- NASA
- Intelligence agencies
Technical Deep Dive
Cognitive-state estimation blends physiological signals (HRV, pupillometry, blink rate, EEG/SSVEP/alpha-band desynchronization, posture/micro-gestures) into an attention/comprehension latent. The system computes a deviation between current cognitive load and an intended pedagogical band, then conditions the generative model to synthesize new instructional segments (text, audio, visuals, simulations) instead of selecting canned assets. This complies with the application's negative limitation: no pre-chosen, pre-made, or assembled preexisting media fragments.
Adaptation knobs include pacing, modality shifts (visual ↔ auditory ↔ kinesthetic), question frequency, scaffolding depth, and contextualized examples. For simulation-heavy training (aviation/medical/military), we modulate world/physics parameters, scenario complexity, and stressors while keeping response latency below perceptual thresholds (<100 ms) to preserve immersion and credibility.
Multi-learner weighting supports classrooms or cohort training by aggregating individual embeddings with tunable fairness constraints, ensuring the content doesn’t overfit to a single learner’s signals. Longitudinal user records allow continual personalization while enforcing privacy budgets and alignment with educational outcomes (knowledge retention, skill mastery).
Interested in Education & Training?
Let's discuss how Nourova's patent-pending technology can transform your education & training applications.
Discuss Licensing