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Title: Guiding the minds of tomorrow : conversational agents to train curiosity and metacognition in young learners Abstract: Curiosity is the drive to explore and learn for sheer joy. It plays a vital role in fostering autonomous and personalized lifelong learning. Yet, its implementation and promotion in today’s classrooms are still widely missing. In this context, this thesis aims to leverage new technologies and theories of curiosity-driven learning in cognitive sciences to design and implement educational tools that foster curiosity-driven learning in children. In particular, the thesis proposes online environments featuring interactions with conversational agents to train curiosity-related skills. The trainings targeted three specific dimensions: I) improving children’s linguistic question-asking skills, II) teaching them to evaluate and monitor their own knowledge effectively (i.e., metacognitive strategies for learning), and II) eshaping the negative views they may have on curiosity. Tested with more than 150 French school-students aged between 9 and 11, the interventions combined were successful in boosting students' metacognitive sensitivity and perception of curiosity. Together with the curiosity trait, these factors facilitated the divergent QA behaviors. The positive results motivate further research to build individualized interventions and to explore their long-term impact on curiosity, especially in the age of generative artificial intelligence. Link to manuscript: https://theses.hal.science/tel-046977... Link to associated publications: https://scholar.google.com/citations?... Jury members: Mrs. ROMERO, Margarida Pr.University of Côte d’Azur, Reviewer Mrs. RUGGERI, Azzurra Pr.MPI Berlin, TU Munich & CEU Vienna, Reviewer Mrs. JIROUT, Jamie PA University of Virginia, Examiner Mrs. ENGEL, Susan Pr.Williams College, Examiner Mr. VIE, Jill-Jênn CR Inria Saclay & École Polytechnique, Examiner Mme SAUZÉON, Hélène PR Inria & University of Bordeaux, Supervisor M. OUDEYER, Pierre-Yves DR Inria Bordeaux, Supervisor