Daniela Di Canio
Papers
1
Total Citations
8
H-Index
1
About
Daniela Di Canio is a leading researcher at the intersection of educational robotics and embodied cognition, with a primary focus on how physical human-robot interaction can enhance learning. Her most cited work, "Embodied Geometric Reasoning with a Robot: The Impact of Robot Gestures on Student Reasoning about Geometrical Conjectures" (2022, 8 citations), represents a seminal contribution to the field. In this study, Di Canio demonstrates how a NAO robot's non-verbal gestures—grounded in embodied cognition theory—significantly influence students' geometric reasoning processes. This research bridges robotics and education by showing that a robot's physical embodiment and gestural communication can scaffold higher-order thinking, moving beyond traditional screen-based learning. Her work has been recognized for its innovative methodology and practical implications for designing more effective educational technologies. Di Canio's contributions are particularly impactful for researchers and students interested in human-robot interaction, cognitive science, and STEM education, offering a compelling vision of how robots can serve as dynamic, physically present tutors that leverage non-verbal cues to deepen conceptual understanding.
Research Focus
Key Achievements
Top Papers
- 1