Gara Tahir

Papers

Total Citations

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About

Dr. Gara Tahir is a pioneering researcher at the intersection of second language acquisition (L2) and human-robot interaction. Her work centers on designing and evaluating robot-led conversation practice, with a focus on integrating human spoken and non-verbal interaction strategies to enhance L2 learning. Her most-cited paper, "Learner and teacher perspectives on robot-led L2 conversation practice" (2022, 11 citations), offers groundbreaking recommendations for developing more natural and effective robotic tutors. By synthesizing insights from semi-structured interviews with both learners and teachers, Tahir bridges the gap between pedagogical theory and technological design, providing actionable frameworks for creating empathetic, responsive AI in language education. Her research not only advances the field of educational robotics but also addresses critical challenges in language learning, such as learner anxiety and lack of authentic practice opportunities. With a growing citation impact, Tahir is recognized for her interdisciplinary approach, combining linguistics, cognitive science, and engineering. Her work has been featured in key venues on language teaching and robotics, positioning her as a leading voice in the future of AI-assisted education.