Hansol Lee

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About

Hansol Lee is a leading researcher at the intersection of educational technology and second language acquisition, with a primary focus on robot-assisted language learning (RALL) and the pedagogical integration of social robots. His most influential work, “The effects of robot-assisted language learning: A meta-analysis” (2021), has garnered 81 citations and provides a comprehensive, data-driven synthesis of how robots can enhance language outcomes, establishing foundational benchmarks for the field. In his complementary study, “Social robots for English language teaching” (2021), Lee demystifies the practical applications of humanoid and non-humanoid robots in classroom settings, offering teachers actionable insights into this emerging technology. His research consistently demonstrates that social robots can increase learner engagement, reduce anxiety, and provide consistent, low-stakes interaction opportunities—particularly valuable for English language learners. By bridging robotics, human-computer interaction, and applied linguistics, Lee has helped define a new subfield of technology-mediated language teaching. His work is essential reading for educators and researchers exploring how embodied AI can transform language education, and his meta-analytic contributions continue to shape both experimental design and pedagogical practice worldwide.