Victor Girotto

Papers

Total Citations

H-Index

About

Victor Girotto is a researcher whose work sits at the intersection of educational technology, human-robot interaction, and learning sciences. His most recognized contributions focus on the design and deployment of innovative learning systems, particularly **teachable agents** — companions that students instruct as a means of deepening their own understanding. His 2016 study on the effects of physical form and embodied action in a teachable robot for geometry learning (18 citations) demonstrated how a physically present robot, compared to purely virtual agents, can more meaningfully engage students in the learning process, opening important questions about the role of embodiment in educational technology. Complementing this, his work on rTAG — a robot-based teachable agent system deployed in real school environments — shed critical light on the practical facilitators and barriers educators face when integrating such technologies into classrooms (14 citations). Girotto has also contributed methodological tools to the field, including a platform for integrating log and video data to support exploratory analysis and model generation in learning analytics. Together, his research advances our understanding of how intelligent, physically embodied systems can be thoughtfully designed and sustainably implemented to enhance student learning outcomes.