Jiaxiang You
Papers
1
Total Citations
4
H-Index
1
About
Jiaxiang You’s research lies at the intersection of educational technology, cognitive science, and human-robot interaction, with a focus on how failure—both one’s own and observed—can be harnessed to deepen learning. In their most-cited work, “Observing a robot peer’s failures facilitates students’ classroom learning” (2025, 4 citations), You extends productive failure (PF) theory into a novel domain: rather than requiring students to struggle directly, they demonstrate that simply watching a robot peer fail at problem-solving can significantly boost students’ knowledge acquisition during subsequent instruction. This insight challenges traditional PF models by suggesting that observational failure may reduce the cognitive and emotional strain of direct struggle while still triggering the productive cognitive processes that lead to deeper understanding. You’s contributions are particularly notable for bridging robotics and classroom pedagogy, offering scalable, low-stress interventions that can be integrated into real-world educational settings. Their work has already garnered attention for its practical implications, pointing toward a future where robots serve not just as tutors but as fallible learning companions. You’s research continues to shape how educators and technologists think about the role of failure in learning.
Research Focus
Key Achievements
Top Papers
- 1