Ziqi Yang
Papers
1
Total Citations
4
H-Index
1
About
Ziqi Yang is an emerging researcher at the intersection of educational psychology, human-robot interaction, and learning sciences. Their most notable work explores how observational learning from robot peers can enhance student outcomes in classroom settings, drawing on productive failure (PF) theory to investigate how witnessing a robot's failures during problem-solving may actually facilitate deeper knowledge acquisition in students. This innovative approach bridges social learning theory with cutting-edge robotics, offering fresh insights into how artificial agents can be strategically deployed as pedagogical tools. By examining the emotional, cognitive, and skill-based dimensions of failure-based learning, Yang's research addresses critical questions about when and how struggle — even when observed rather than directly experienced — can become a productive force in education. Though early in their publishing trajectory, their 2025 paper has already garnered attention within the learning sciences community, signaling growing interest in robot-mediated instruction. Yang's work holds significant implications for the design of technology-enhanced classrooms and opens promising new directions for researchers interested in the role of social robots in supporting student motivation, resilience, and conceptual understanding.
Research Focus
Key Achievements
Top Papers
- 1