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About

Zeng-Wei Hong is a pioneering researcher in educational robotics and technology-enhanced language learning, whose work has profoundly shaped how humanoid robots are integrated into classroom instruction. With a career spanning over a decade, Hong has consistently explored the intersection of robotics, pedagogy, and student motivation, producing influential findings that have guided educators and technologists alike. His most celebrated contribution, a 2014 study on robot-based learning systems in elementary education (172 citations), provided much-needed empirical evidence confirming that educational robots meaningfully boost student motivation — addressing a critical gap in the literature at the time. Building on this, his 2016 work on authoring robot-assisted instructional materials for EFL classrooms (90 citations) demonstrated practical frameworks for deploying anthropomorphized robots to improve both learning performance and engagement in language acquisition contexts. Hong's early 2011 proposal of IDML tools enabling teachers to wield humanoid robots as interactive teaching assistants laid important groundwork for the field. His more recent research continues advancing this agenda, exploring robot-tutoring for English pronunciation among adult EFL learners and developing modular multi-robot systems for language classrooms. Collectively, his work has earned nearly 300 citations, establishing him as a key voice in educational technology research.