Jang Ho Lee

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About

Jang Ho Lee is a leading voice in the intersection of educational technology and second language acquisition, with a primary focus on robot-assisted language learning (RALL). His most-cited work, a 2021 meta-analysis on the effects of robot-assisted language learning (81 citations), provides a comprehensive synthesis of the field, establishing the pedagogical potential of social robots in the classroom. Lee’s research demonstrates that humanoid robots can significantly enhance English language teaching by fostering learner engagement and reducing affective barriers. His subsequent work on social robots for English language teaching (17 citations) further explores practical applications, offering teachers actionable insights into integrating these technologies. Through his rigorous empirical studies, Lee has helped define RALL as a legitimate subfield of computer-assisted language learning (CALL), bridging robotics and applied linguistics. His contributions are particularly notable for their methodological clarity and their direct relevance to educators seeking innovative, evidence-based tools for language instruction. By quantifying the impact of robot-mediated learning, Lee has positioned himself at the forefront of a transformative movement in language education.