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
Product
- Manufacturing
- Demonstration
- Sustainability
- Energy Efficiency
- Product development
- AI-GenAI /Data/Robotics
- Testing the product/application
- Prototype development / MVP (Product Minimum Viable)
Hendar Mawan, PhD Eng.
R&D Director - Trustworthy edge AI & Data Governance at RIoT Secure AB
Stockholm, Sweden