Zhenhua Wu

Shanghai Normal University

Papers

1

Total Citations

8

H-Index

1

About

Zhenhua Wu is an emerging researcher working at the intersection of early childhood education, computational thinking, and robotics-based learning. Wu's work focuses on innovative pedagogical approaches that make coding and programming accessible and meaningful for young learners, particularly by embedding computational concepts within real-world contexts. A standout contribution is Wu's 2024 study on a robotics curriculum that creatively integrates tangible programming with road safety education for young children — a novel interdisciplinary framework that bridges digital literacy with practical life skills. This research, which has already garnered 8 citations since its publication, reflects a growing recognition within the educational technology community of the value of hands-on, embodied learning experiences in early coding education. By designing curricula where children learn to code through physical, tangible interfaces rather than abstract screen-based tools, Wu's work lowers barriers to entry and makes computational thinking more intuitive for pre-primary and primary-aged students. Wu's research contributes meaningfully to conversations around STEM education reform, child-centered learning design, and the integration of safety awareness into technology curricula — positioning this scholarship as both practically relevant and academically forward-thinking.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Learning to code and coding to learn: A robotics curriculum integrating tangible programming and road safety education for young children
8 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Shanghai Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago