Papers
1
Total Citations
2
H-Index
1
About
Dr. Yaqian Xu is a leading researcher at the intersection of human-robot interaction, developmental psychology, and educational technology. Her work focuses on how social robots, powered by artificial intelligence, can support children’s language development during critical early learning stages. Dr. Xu’s landmark meta-analysis, “Meta-analyzing the impacts of social robots for children's language development: Insights from two decades of research from 2003 to 2023,” synthesizes 20 years of empirical studies to provide the first comprehensive, quantitative understanding of robot-assisted language acquisition. This work, already garnering attention in the field, systematically evaluates the effectiveness of robotic interventions, identifying key design features and interaction paradigms that optimize learning outcomes. By bridging robotics and developmental science, Dr. Xu has established a rigorous evidence base that informs both the design of next-generation educational robots and practical classroom applications. Her research is essential reading for anyone interested in how AI-driven technologies can reshape early childhood education, offering clear insights into what works, for whom, and under what conditions. Dr. Xu’s contributions are paving the way for more effective, personalized, and engaging language learning tools for children worldwide.
Research Focus
Key Achievements
Top Papers
- 1