Papers
4
Total Citations
153
H-Index
3
About
Weiqi Xu is a leading researcher at the intersection of educational technology, robotics, and STEM learning. Their work centers on understanding how robots—both physical and virtual—can transform how students think, collaborate, and solve problems. Xu’s landmark 2024 multilevel meta-analysis, with 132 citations, provides the most comprehensive evidence to date that educational robotics significantly enhances STEM outcomes, establishing a critical empirical foundation for the field. They have also pioneered research on scaffolded, computer-supported robot-assisted collaborative programming in higher education, demonstrating how structured guidance can boost teamwork and coding skills. Xu’s systematic review of learner-robot relationships offers a novel framework for classifying how students interact with robots—as tools, peers, or mentors. Most recently, their work on virtual robot programming environments has revealed the micro-level developmental links between computational thinking and spatial thinking, opening new pathways for curriculum design. With a growing body of highly cited work and a clear trajectory from meta-analysis to micro-cognition, Weiqi Xu is shaping the future of how robotics can cultivate the thinkers of tomorrow.
Research Focus
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Top Papers
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