From computational neuroscience to computational learning science: modeling the brain of the learner and the context of the learning activity

Margarida Romero (1) , Frédéric Alexandre (2) , Lisa Roux (1) , Gérard Giraudon (3) , Thierry Viéville (2, 1)

1 LINE - Laboratoire d'Innovation et Numérique pour l'Education
2 Mnemosyne - Mnemonic Synergy
3 CRISAM - Inria Sophia Antipolis - Méditerranée

We share a new exploratory action known as Artificial Intelligence Devoted to Education (AIDE) launched with the support of Inria (Mnemosyne Team) and Nice INSPÉ from Côte d´Azur University (LINE laboratory) in connection with the Bordeaux NeuroCampus. It positions artificial intelligence in a somewhat original way ... not [only] as a disruptive tool, but as a formalism allowing to model learning human in problem-solving activities.

Mots clés: Educational science; Cognitive science; Computational thinking; Machine learning

Domaines: Education

Margarida Romero, Frédéric Alexandre, Lisa Roux, Gérard Giraudon, Thierry Viéville. From computational neuroscience to computational learning science: modeling the brain of the learner and the context of the learning activity. SophIA-summit 2020, Nov 2020, Sophia-Antipolis / Virtual, France. 2020. ⟨hal-03018617⟩