Amphithéâtre Marguerite de Navarre, Site Marcelin Berthelot
Open to all
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Abstract

From childhood through to the highest levels of research, the acquisition of new mathematical concepts involves a back-and-forth movement between concrete problems and mathematical abstraction. Time and curriculum constraints make it much more difficult at the end of Collège or Lycée to apply the approach deployed in the best international primary school programs, which consists in linking experimental manipulations with mathematical concepts.

To get students excited about mathematics again, and improve their understanding of it, MathAData offers secondary school teachers concrete, fun problems based on AI challenges, on subjects as diverse as image recognition, medical diagnosis, whale song analysis and text author recognition.... Co-developed with teachers and requiring no prior knowledge of AI, the teaching materials lead students to understand and manipulate the mathematical concepts of each chapter of the curriculum. This starts with digital experiments in class, where students develop creative solutions to the challenge, while bringing out the mathematics, and then they deepen their knowledge with exercises.

The conference will describe the proposed pedagogy, provide initial feedback on the tests in progress, with around a hundred teachers trained in the Lille and Paris academies, and discuss the challenges of scaling up.

Stephane Mallat

Stéphane Mallat

Stéphane Mallat holds the  chairin data science at the Collège de France, is a member of the Académie des Sciences and heads a research team at the ENS.

Miguel Toquet

Miguel Touquet

Miguel Touquet is IA-IPR for mathematics in the Lille academy.

Akim Viennet

Akim Viennet

Akim Viennet is the Director of MathAData, the Agir pour l'Éducation and ENS program for the creation of educational and digital mathematical resources based on data challenges.

Speaker(s)

Akim Viennet

Director of MathAData

Miguel Toquet

IA-IPR for mathematics in the Lille academy