project

[Carnot TSN 2019] eXplainable AnalytIcs for EDUcation

The XAI-EDU project aims to use Artificial Intelligence (AI) techniques to produce Learning Analytics (LA) that will support learners and teachers in changing their practices based on in particular on a dimension that is currently little exploited: the influence of social interactions. To address this issue, we propose a mixed numerical and symbolic approach (based on business knowledge) to make decision-making tools explainable and actionable.

[ANR 2018-2021] Pluralisme de l'information en ligne (PIL)

The goal of this project is to analyze and evaluate the socio-economic effects of digital transformations on information quality and pluralism (QPI) in the media universe.