Sam Leewis

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About

Sam Leewis is a pioneering researcher at the intersection of social robotics and primary education, dedicated to designing empathetic, intelligent machines that support children’s learning and emotional well-being. His work centers on three key areas: human-robot trust, educational intervention during learning disruptions, and the integration of large language models (LLMs) into robotic platforms. Leewis’s most influential study, “A Trustworthy Robot Buddy for Primary School Children” (2022, 19 citations), investigates which robot features foster trust and whether social robots can reduce classroom stress as effectively as traditional methods—a foundational contribution to child-robot interaction design. In response to COVID-19 learning gaps, his exploratory field study on social robots for reducing mathematics hiatuses (2021) demonstrated how robotic tutors can help bridge educational divides when standard methods fall short. Most recently, his 2024 work on enhancing educational dynamics by integrating LLMs with social robots (2 citations) pushes the frontier of personalized, responsive learning companions. Through these contributions, Leewis is shaping a future where robots are not just tools, but trusted partners in children’s growth.