YESSAD Amel

Assistant professor (Maîtresse de conférences), LIP6, Sorbonne Université (Paris, France)

Research domain

I am an Associate Professor in Computer Science at Sorbonne Université and conduct my research within the LIP6 (MOCAH team). My research focuses on Technology enhanced learning environments and AI for Education, which is one of the research areas within Human-Centered Computing. I am interested, on the one hand, in modeling learners’ knowledge and its dynamics using probabilistic models to diagnose their knowledge states or predict their behaviors (success/failure, dropout, etc.), and, on the other hand, in leveraging these models to learn feedback policies or recommend adapted learning activities. The central aim of my research is to enhance the effectiveness and relevance of artificial intelligence models by integrating explicit knowledge provided by human experts (researchers in educational sciences, cognitive scientists, teachers, etc.).

Research topics

Reinforcement Learning & Education (RL4ED), sequential decision-making under uncertainty; probabilistic modeling of learners’ knowledge (Knowledge Tracing); modeling the dynamics of learner interactions in open learning environments ; Knowledge modeling and reasoning with knowledge graphs (e.g., ontologies)

Research publications

My publications are available on my LIP6 webpage.

Teaching

Ongoing research projects