Jeong Hye Han

Cheongju National University of Education

Papers

Total Citations

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About

Jeong Hye Han is a pioneering researcher in educational robotics, with a primary focus on robot-assisted language learning and human-robot interaction in classroom settings. Her most influential work centers on the development and deployment of the teaching assistant robot, ROBOSEM, which she introduced in her highly cited 2011 study (54 citations). Han's major contribution lies in demonstrating how robots can effectively reduce the "affective filter"—the psychological barrier that hinders language acquisition—by providing a non-judgmental, patient, and engaging interaction partner for students. Her research provides practical frameworks for integrating robots into English education, addressing both pedagogical benefits and real-world diffusion challenges. Beyond this landmark study, Han has explored how sustained human-robot interaction can maintain student engagement over time, offering critical insights for designing long-term educational interventions. Her work has shaped the field of robot-assisted learning, influencing subsequent studies on social robots in language classrooms. With her research bridging engineering, education, and cognitive science, Han remains a key figure in advancing the practical adoption of educational robots, making her contributions essential reading for researchers interested in technology-enhanced language learning.