About

Biography

François Bouchet is an Associate Professor (Maître de conférences) in Computer Science at Sorbonne Université (Paris, France) and a researcher at LIP6, where he has been a member of the MOCAH team since 2013 and its co-head since 2024. His research addresses artificial intelligence for education, spanning learning analytics, educational data mining, intelligent tutoring systems, MOOCs, emotion analysis, and conversational agents. In recent years his work has focused increasingly on algorithmic fairness and explainability for predictive student models.

He completed his PhD in 2010 at Université Paris-Sud 11, working at LIMSI-CNRS under the supervision of Jean-Paul Sansonnet on a natural-language processing chain for assisting conversational agents. From 2011 to 2013 he was a postdoctoral fellow in Roger Azevedo’s SMART Laboratory at McGill University (Montréal, Canada), where he was lead designer of MetaTutor, an agent-based intelligent tutoring system fostering self-regulated learning.

Research interests

• AI fairness and explainability (xAI) in education
• Learning analytics and educational data mining
• MOOCs and intelligent tutoring systems
• Emotion analysis and self-regulated learning
• Conversational agents and cognitive architectures

Selected service

• Editorial board member, Journal of Educational Data Mining (JEDM)
• Editorial board member, ACM Transactions on Interactive Intelligent Systems (TiiS)
• Co-organizer, EDM 2021 (online from Paris, 400+ attendees)
• Programme committee member for LAK, EDM, AIED, EC-TEL, ITS, CSEDU, EIAH, and others
• Head of the LIP6 scientific publication support committee (since 2022)

Identifiers

ORCID 0000-0001-9436-1250 · IdHAL fbouchet · IdRef 15126709X · Google Scholar