Xiangquan Yao
Papers
1
Total Citations
2
H-Index
1
About
Xiangquan Yao’s research centers on making mathematics tangible and accessible within non-formal STEM learning environments, with a particular focus on robotics as a pedagogical tool. In their most-cited work, “Building a robot: making mathematics visible in a non-formal STEM learning environment” (2020), Yao demonstrates how hands-on robotics activities can render abstract mathematical concepts—such as geometry, ratios, and spatial reasoning—concrete and engaging for learners outside traditional classrooms. This contribution is significant for bridging the gap between theoretical math and practical application, offering educators a replicable model for fostering STEM interest in settings like museums, after-school programs, and workshops. Although the paper has accrued 2 citations, its impact lies in its innovative approach to curriculum design and its potential to inspire future studies on experiential learning. Yao’s work underscores the power of interdisciplinary teaching, where robotics serves not merely as a technical exercise but as a gateway to deeper mathematical understanding. For students and researchers exploring STEM education, Yao’s research provides a compelling case for reimagining how math can be taught—by building, tinkering, and making it visible.
Research Focus
Key Achievements
Top Papers
- 1