Matisse Poupard
Matisse Poupard
PhD in Cognitive Sciences
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matisse.poupard@inria.fr
I am a cognitive science researcher interested in how humans learn! I am currently a postdoctoral researcher and teaching fellow at the Flowers AI & Cognitive Science Lab (Inria Bordeaux), where I combine research and teaching.
My work explores how cognitive effort and perceived difficulty shape learning, at the intersection of cognitive load theory and curiosity-driven learning models.
I’m also interested in the role of digital technologies as both learning tools and learning microscopes: from immersive environments (VR/AR) that help us better understand learners’ engagement, motivation, and performance, to new ways of measuring learning, such as body movement and learners’ exploration of their learning environment
News
New Published Paper
Thrilled to share that our new paper has just been published in Educational Psychology Review
In this work, we propose the IMCLM-XR, a theoretical framework that bridges Cognitive Load Theory and the Learning Progress Hypothesis to explain how Virtual Reality (VR) and Augmented Reality (AR) shape learners' curiosity and learning outcomes.
The core idea is that motivation in XR learning isn't just about novelty or immersion but is deeply rooted in cognitive load management. When instructional design reduces extraneous cognitive load (the kind that wastes cognitive resources), learners gain the cognitive space to perceive progress and feel autonomous. That, in turn, fuels intrinsic motivation and curiosity-driven engagement.
Link to the paper: https://rdcu.be/fnvwN
New Blog Post - "The Pleasure of Getting Better: Is Learning a Basic Need?"
Is learning a basic need? Drawing on the Learning Progress Hypothesis and Self-Determination Theory, this post explores the links between intrinsic motivation, perceived learning progress, and well-being, illustrated by some projects from the Flowers AI & CogSci Lab.
Paper award !!! 🏅
The paper "A systematic review of immersive technologies for education: Learning performance, cognitive load and intrinsic motivation", published in British Journal of Educational Technology, is among the top 10 most-cited papers published by the journal in 2024
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