Jingxyan Hu

Papers

Total Citations

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About

Dr. Jingxyan Hu is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on human-computer interaction and pedagogical analytics. Her most influential work, "Online Teaching Gestures Recognition Model Based on Deep Learning" (2020, 9 citations), pioneers the application of deep learning to decode non-verbal communication in virtual classrooms. By developing a robust gesture recognition model, Dr. Hu has provided educators and AI systems with a powerful tool to analyze how teachers’ physical expressions enhance student engagement and learning outcomes. This contribution is particularly vital in the era of remote education, where traditional visual cues are often lost. Her research not only advances computer vision techniques but also offers actionable insights for designing more responsive, human-centric educational technologies. Dr. Hu’s work bridges the gap between computational modeling and real-world teaching practice, establishing her as a key figure in the growing field of AI-enhanced pedagogy. Her findings continue to inform the development of intelligent tutoring systems and interactive learning environments, making her a valuable resource for students and researchers exploring the future of digital education.