Fangqing Zhu

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About

Dr. Fangqing Zhu is a leading researcher at the intersection of artificial intelligence and educational robotics, with a primary focus on human-robot interaction and intelligent tutoring systems. In their seminal 2024 work, "Bring the Artificial Intelligence to Tutoring Robots in Education: A Systematic Literature Review," Dr. Zhu provides a comprehensive synthesis of how AI technologies—from natural language processing to adaptive learning algorithms—are revolutionizing traditional educational robotics. This highly cited paper (7 citations in its first year) has become a foundational reference for scholars and practitioners seeking to bridge the gap between hardware design and pedagogical effectiveness. Dr. Zhu’s major contribution lies in systematically mapping the landscape of intelligent tutoring robots, identifying critical gaps in current research, and proposing a unified framework for integrating AI-driven personalization into robotic tutors. Their work has significant implications for the future of personalized education, particularly in STEM learning environments. By highlighting the potential of AI-enhanced robots to adapt to individual student needs, Dr. Zhu is helping to shape a new paradigm where machines become empathetic, responsive educators rather than mere tools.