Project cooperationUpdated on 6 March 2026
CogMath: Closed-Loop Co-Personalized Math Tutor Integrating Executive Functions
Strategy and Partnerships Lead at DevelopWay
Yerevan, Armenia
About
CogMath - Project Overview
CogMath is a closed-loop, cognition-aware math tutoring system for Grades 3–5 that co-personalizes (a) math subskills and (b) executive functions (EF)—working memory, inhibitory control, and cognitive flexibility—in real time during normal learning, without extra hardware.
What makes it different is the closed-loop “co-personalization” cycle: as a learner practices math, the system infers momentary cognitive bottlenecks from sensor-free interaction telemetry (e.g., latency, error patterns, strategy switches) and can insert short, curriculum-aligned EF micro-interventions that are predicted to unblock the next math step.
CogMath is designed as a teacher-coachable system: a teacher dashboard explains why a cognitive support was triggered, so educators can interpret, coach, or override decisions—supporting human-in-the-loop instruction.
To be deployable in EU contexts, CogMath also builds privacy-preserving learning at scale using federated learning + differential privacy, keeping telemetry local while still enabling model improvement across sites.
Approach & Methods (Brief)
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Sensor-free cognitive diagnostics embedded in math tasks
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AI adaptive engine combining rule-based logic and machine-learning models
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Contextual bandits to learn individual causal effects of EF micro-interventions
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Teacher dashboards explaining AI decisions and supporting human oversight
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Federated learning + differential privacy for EU-ready deployment
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Classroom pilots in Finland and Armenia with rigorous evaluation
Work Plan Overview (WPs)
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WP1 – Project Management, Governance, Risk, Coordination
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WP2 – Education & Curriculum Mapping
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WP3 – Cognitive Science Framework, Measurement & Validation
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WP4 – AI/ML Personalisation (interpretable + privacy-preserving deployment)
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WP5 – Platform & Mobile Implementation, Gamification, Integration
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WP6 – HCI/UX, Teacher Dashboard, Explainability UX
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WP7 – Pilots & Evaluation (multi-country plan)
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WP8 – Exploitation, Dissemination, Policy Translation
Key deliverables include validated cognitive diagnostics, AI personalization engine, secure multi-platform system, pilot evaluation reports, FAIR datasets, policy briefs, and exploitation roadmap.
Partners Sought during this Brokerage Opportunity
We are seeking additional consortium partners or advisers, especially:
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AI ethics & child-safety experts (Responsible AI, fairness, explainability)
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GDPR & data-protection specialists (DPIA, federated analytics, compliance)
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HCI / UX / Serious Games partners (child-centred design, teacher dashboards)
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Policy & education-systems advisers (scaling, curriculum alignment, equity)
Target EU Calls / Funding Context
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EIC Pathfinder (Open / Challenge)
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HORIZON-CL2-2027-01-TRANSFO-05 / -06
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HORIZON-CL2-2026-01-TRANSFO-05
Topic
- AI-GenAI /Data/Robotics
Type
- Consortium seeks Partner
- Partner seeks Consortium
Organisation
Similar opportunities
Project cooperation
Robertas Damaševičius
Professor at Vytautas Magnus University
Kaunas, Lithuania
Project cooperation
Robertas Damaševičius
Professor at Vytautas Magnus University
Kaunas, Lithuania
Expertise
Robertas Damaševičius
Professor at Vytautas Magnus University
Kaunas, Lithuania