Julie Mauclair
Papers
1
Total Citations
2
H-Index
1
About
Julie Mauclair’s research sits at the intersection of human-robot interaction, educational technology, and computer science pedagogy. Her most cited work, “De l'usage de Nao (robot humanoïde) dans l'apprentissage de l'informatique” (2011), provides a pioneering analysis of how the Nao humanoid robot can be integrated into project-based learning for undergraduate computer science students. By observing third-year licence students over an entire teaching unit, Mauclair demonstrated how tangible, interactive robots can bridge abstract programming concepts with hands-on experience, fostering deeper engagement and collaborative problem-solving. Though her citation count is modest, her contribution is notable for its early exploration of social robots in higher education—a field that has since grown exponentially. Mauclair’s work offers a foundational case study for educators and researchers designing curricula that leverage embodied AI to teach computational thinking. Her insights remain relevant as robotics becomes more accessible in classrooms, highlighting the pedagogical value of humanoid platforms like Nao in making computer science more intuitive and motivating for learners.
Research Focus
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Top Papers
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