#20 Modeling creativity for learning: from computational approaches to educational futures? with Chloé Mercier

In this episode, we explore creativity not as a mysterious gift, but as a process that can be studied, modeled, and nurtured. At the crossroads of computer science, cognitive science, and the learning sciences, our guest, Chloé Mercier, examines creativity as a situated and iterative learning process shaped by reflection and feedback. Using computational approaches, we discuss how creative work can be analyzed without reducing its educational richness. These models help us understand how learners generate ideas from prior knowledge and environmental stimuli, revise their work, and gradually develop creative strategies. Looking ahead, the conversation turns to writing education and the goal of fostering creativity alongside metacognitive awareness, not automating production. We also reflect on digital humanities and STEAM education, asking whether bridging the sciences and humanities could support more inclusive pathways and help address persistent social and gender inequalities.