Zhandarbek Jalankuzov

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About

Zhandarbek Jalankuzov is a researcher at the forefront of human-robot interaction and educational technology, with a particular focus on social robotics for language learning. His most cited work, “You win, I lose”: Towards adapting robot's teaching strategy (2016), has accumulated 16 citations and represents a paradigm shift in educational robotics. Rather than designing robots as all-knowing tutors, Jalankuzov pioneered the concept of the robot as a peer learner—a fellow student who also struggles with a foreign language. In his studies, children engage in competitive games with this “fallible” robot, which adapts its teaching strategy based on the child's performance. This innovative approach leverages social dynamics and empathy to enhance engagement and learning outcomes. A closely related paper with 8 citations further explores this adaptive teaching strategy. By flipping the traditional tutor-tutee dynamic, Jalankuzov’s work challenges assumptions about authority and expertise in human-robot interaction, offering a more collaborative and psychologically nuanced model for educational robots. His contributions are particularly impactful for designing inclusive, child-friendly AI systems that foster motivation and resilience.