WU Xue-qing

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About

Dr. Wu Xue-qing is a leading voice in technology-enhanced language education, whose research centers on the intersection of artificial intelligence, robotics, and second-language acquisition. Her most impactful work, a 2024 meta-analysis on robot-assisted language learning (RALL), synthesizes decades of fragmented findings to reveal how humanoid and non-humanoid robots can systematically boost English-as-a-foreign-language (EFL) learners’ speaking, listening, and vocabulary skills. Grounded in Activity Theory, this study—already accumulating 26 citations—provides a robust theoretical framework for understanding how learners, robots, and tasks interact within authentic classroom contexts. Dr. Wu’s contributions extend beyond meta-analysis; she has pioneered experimental designs that measure RALL’s long-term effects on learner motivation and communicative competence. Her work is widely cited by educational technologists and curriculum designers seeking evidence-based strategies for integrating robotics into language classrooms. By bridging engineering, pedagogy, and linguistics, Dr. Wu has established herself as a critical thinker in the future of personalized, interactive language learning. Her research not only validates the promise of RALL but also charts a practical roadmap for its implementation in under-resourced EFL settings worldwide.