Yuying Gu

Papers

Total Citations

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About

Yuying Gu is a researcher at the intersection of artificial intelligence and education, with a primary focus on leveraging deep learning to enhance pedagogical practices. Her most cited work, "Online Teaching Gestures Recognition Model Based on Deep Learning" (2020, 9 citations), introduces a novel framework that applies deep learning techniques to automatically recognize and analyze teachers' gestures in online classrooms. This contribution is significant because it provides a data-driven method to quantify how nonverbal communication—specifically hand gestures—can improve teaching effectiveness and student engagement. By bridging computer vision with educational research, Gu offers educators and instructional designers a tool to refine their delivery in digital learning environments. Her work addresses a critical gap in understanding the role of body language in remote education, a topic that has become increasingly relevant with the rise of online learning platforms. Gu’s research demonstrates a commitment to making teaching more interactive and evidence-based, and her findings have implications for both AI model development and practical classroom applications. As a scholar, she continues to explore how intelligent systems can support human-centered learning, positioning her as a thoughtful contributor to the growing field of AI in education.