Gwo Dong Chen
Papers
3
Total Citations
290
H-Index
2
About
Gwo Dong Chen is a pioneering researcher in educational technology, with a primary focus on human-robot interaction and augmented reality (AR) for learning. His most influential work, "Exploring the Possibility of Using Humanoid Robots as Instructional Tools for Teaching a Second Language in Primary School" (2010), has garnered 286 citations, establishing him as a key figure in robot-assisted language education. Chen’s research demonstrates how humanoid robots can serve as engaging, interactive partners for young learners, enhancing motivation and language acquisition in classroom settings. He further advanced situated learning by proposing a scenario-triggered AR environment, where augmented reality flashcards and robotic partners create immersive, task-based learning playgrounds. Chen also investigated the comparative effects of virtual characters versus physical robots in mixed reality, revealing that robotic collaboration often generates stronger student motivation and deeper engagement. His work bridges robotics, AR, and pedagogy, offering practical frameworks for integrating technology into primary education. Chen’s contributions have significant implications for designing interactive, student-centered learning environments that leverage emerging technologies to improve educational outcomes.
Research Focus
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Top Papers
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