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Poster communications

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
UNS - Université Nice Sophia Antipolis (... - 2019), UCA - Université Côte d'Azur
2 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : 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.
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Poster communications
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https://hal.inria.fr/hal-03018617
Contributor : Thierry Viéville <>
Submitted on : Monday, November 23, 2020 - 7:49:29 AM
Last modification on : Wednesday, December 30, 2020 - 3:54:02 PM

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  • HAL Id : hal-03018617, version 1

Citation

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⟩

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