Xiaofan Liu
Papers
3
Total Citations
51
H-Index
2
About
Xiaofan Liu is a leading researcher in STEM education, with a particular focus on robotics education as a vehicle for interdisciplinary learning and gender equity. Her work systematically addresses how teaching models and social dynamics shape student outcomes. In her highly cited 2022 paper, she proposed a comprehensive taxonomy of teaching models in STEM education, using robotics as a central example—a foundational contribution that has garnered 40 citations and is widely used to guide curriculum design. Liu’s research also targets the persistent gender gap in STEM: her 2022 study on pair learning demonstrated that collaborative, social learning environments can significantly improve girls’ performance in robotics, offering evidence-based strategies for inclusive classrooms. Most recently, her 2024 investigation into dynamic grouping explores how flexible team assignments can enhance both collaborative skills and learning achievement. With a growing citation impact, Liu’s work is shaping how educators structure robotics education to foster equity, engagement, and deeper learning. Her contributions are essential reading for researchers and practitioners seeking to make STEM education more effective and accessible for all students.
Research Focus
Key Achievements
Top Papers
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