Yueh Min Huang

Papers

Total Citations

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About

Yueh Min Huang is a leading researcher in educational technology, artificial intelligence, and human–robot interaction, with a particular focus on enhancing language learning through innovative, technology-driven methods. His most-cited work, “Authoring Robot-Assisted Instructional Materials for Improving Learning Performance and Motivation in EFL Classrooms” (2016, 90 citations), demonstrates his pioneering contributions to integrating anthropomorphized robots into English as a Foreign Language (EFL) education. Huang’s research shows how robots can facilitate verbal and nonverbal communication in classrooms, significantly boosting student motivation and learning outcomes. Beyond this landmark study, his broader body of work has advanced the design of intelligent tutoring systems and adaptive learning environments, earning him recognition as a key figure in the intersection of robotics and pedagogy. With a sustained impact reflected in his citation record, Huang’s research continues to shape how educators and technologists develop interactive, learner-centered tools. His achievements highlight a career dedicated to bridging cutting-edge technology with practical educational challenges, making him an influential voice for students and researchers exploring the future of AI-assisted instruction.