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About

Hyungjong Noh is a pioneering researcher at the intersection of artificial intelligence, spoken dialogue systems, and language education technology. His work has been instrumental in establishing Robot-Assisted Language Learning (RALL) as a credible and empirically grounded field, arriving at a time when the discipline was still in its formative stages. Noh's most influential contribution, "On the Effectiveness of Robot-Assisted Language Learning" (2011), has accumulated 175 citations and remains a foundational reference for educators and technologists exploring how intelligent robots can facilitate meaningful foreign language acquisition. Alongside this landmark study, his earlier investigations into the cognitive and affective dimensions of RALL demonstrate a holistic approach to understanding how learners emotionally and intellectually engage with robotic tutors. Beyond robotics, Noh has advanced the development of spoken dialogue systems for oral English tutoring, addressing systemic shortcomings in traditional language instruction through innovative computer-assisted methodologies. His work emerging from POSTECH further underscores his commitment to building technologically sophisticated, dialogue-based educational tools. Collectively, his research has shaped how the global academic community conceptualizes intelligent, interactive systems as transformative forces in language learning environments.