Guillaume Bonvin
Papers
1
Total Citations
5
H-Index
1
About
Guillaume Bonvin is an emerging researcher in educational technology and human-robot interaction, with a focus on how learning robots can shape metacognitive development in young students. His most-cited work, "Effects of Introducing a Learning Robot on the Metacognitive Knowledge of Students Aged 8–11" (2023, 5 citations), investigates the impact of robotic agents on children’s ability to reflect on and regulate their own learning processes. This study contributes to a growing body of research at the intersection of artificial intelligence and pedagogy, offering early evidence that social robots can serve as effective tools for fostering self-awareness and strategic thinking in primary education. Though his citation count is modest, Bonvin’s work is notable for its innovative methodology and its focus on a critical developmental stage—late childhood—where metacognitive skills are just beginning to solidify. By bridging robotics and cognitive science, he opens new avenues for designing interactive learning environments that go beyond knowledge transmission to nurture higher-order thinking. As the field of educational robotics expands, Bonvin’s research provides a foundational perspective on how young learners engage with and learn from non-human tutors.
Research Focus
Key Achievements
Top Papers
- 1