Shenghua Zha
Papers
2
Total Citations
17
H-Index
1
About
Shenghua Zha is a researcher dedicated to transforming middle-grade mathematics education through the strategic integration of physical computing and robotics (ePCRs). Her work sits at the critical intersection of computational thinking, coding education, and pedagogical design, addressing a pressing need for evidence-based instructional strategies in PK-12 computer science. Zha’s most impactful study, a mixed-method cluster analysis of ePCR integration in math lesson plans (16 citations), systematically examines how these tangible devices can bridge abstract mathematical concepts with hands-on coding experiences. She further investigates the current state of instructional assessment, revealing a significant gap in research-backed approaches for teaching computational thinking to middle school students. By marrying the physical functionalities of robotics with computational possibilities, Zha’s research provides a roadmap for educators to cultivate problem-solving and digital literacy skills. Her contributions are vital for developing rigorous, engaging curricula that prepare students for a technology-driven world, making her a key voice in the movement to modernize STEM education through thoughtful, research-informed practice.
Research Focus
Key Achievements
Top Papers
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