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Embodied Learning in STEM: Investigating Social Robot Engagement and Computational Thinking
DescriptionThis study explores how social robots and augmented reality (AR) can enhance computational thinking in early elementary students through embodied learning. Over four sessions, 6- to 7-year-old children engaged with a tablet-based AR path-finding game and an interactive social robot that offered guidance, encouragement, and feedback. As students navigated problem-solving tasks, researchers tracked performance, proximity to the robot, and engagement levels. Findings revealed that children’s efficiency in solving path-finding tasks improved over time and that physical closeness to the robot correlated with higher robot interaction and task accuracy. Gender differences in engagement patterns diminished by the end of the session, suggesting increased comfort and familiarity with the technology. This research highlights the potential of embodied learning environments, where physical interaction meets digital tools, to support computational thinking in young learners. The study offers promising insights into how socially responsive robots can personalize and enrich STEM education.