2022-2023 Winner


Learning Science Research
Award Level:
Transform Award

Project Description

Adaptiv’Math is an adaptive platform of 10000 self-correcting exercises for K1-K3. After a profiling test, the AI engine provides unique learning routes for every student. Every digital interaction (gameplay) for students is designed by research. Those unique exercises are based on the latest research about how children acquire number sense, problem solving and proportionality. This curriculum agnostic design is then adjusted to specific curriculum. Evidence based gameplays and graphs behind the AI engine, develop understanding of core concepts in Math even for low performing students. Teachers’ dashboards provide analytics to empower teachers making decisions about pedagogical differentiation in their classroom.

Meet Our Team

Catherine de Vulpillieres

Cofounder, GM, CIO EvidenceB

Mathilde Couraud

Scientific officer, EvidenceB

Margot Roëll

PHD scientific officer, EvidenceB

Meet the finalists for the Building an Adaptive & Competitive Workforce track here. Meet the finalists for all other tracks here.