Max Robotics — Global Service Robot Directory + US Certification

About

Michael Tscholl is a leading researcher at the intersection of embodied cognition, human-robot interaction, and computational thinking in early childhood education. His work fundamentally explores how young children learn through physical interaction with technology, particularly social robots. Tscholl’s most cited study (2021, 48 citations) demonstrates how a humanoid robot’s embodiment—its sensors and movements—engages children in play and learning, advancing the design of educational technologies grounded in embodied cognition theory. He has also pioneered methods for measuring collaborative engagement in child-robot interactions (2020, 13 citations), developing novel data analytic approaches that capture the nuanced dynamics of young learners’ teamwork. More recently, Tscholl has turned to computational thinking, investigating how unplugged activities and task designs can enhance problem-solving skills in upper elementary students (2025). His work bridges theoretical insights with practical design implications, offering educators and technologists evidence-based strategies for integrating robotics and computational thinking into classrooms. With a growing citation impact, Tscholl’s research continues to shape how we understand and support children’s cognitive development through interactive technologies.