Gabriela Błażejowska

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About

Gabriela Błażejowska is a rising scholar at the intersection of human-robot interaction and educational technology, with a focused interest in how affective computing can enhance robot-assisted learning. Her most-cited work, "A Study on the Role of Affective Feedback in Robot-Assisted Learning" (2023), has garnered 13 citations and addresses a critical gap: while intelligent tutoring systems have long leveraged emotional feedback to boost learning efficiency, its application in physical robot tutors—particularly for teaching computer programming—remains underexplored. Błażejowska’s research demonstrates that integrating affective feedback into robotic platforms can significantly improve student engagement and knowledge retention, offering a blueprint for more empathetic and effective educational robots. Her contributions are especially timely as educators seek scalable, adaptive tools for STEM instruction. By bridging insights from affective computing and robotics, Błażejowska is helping to shape a future where robots are not just instructors but responsive learning companions. Her work holds promise for transforming how novices approach complex subjects like programming, making her a notable voice in the growing field of socially assistive robotics.