Hongyu Gao

Capital Normal University

Papers

2

Total Citations

128

H-Index

2

About

Hongyu Gao is a leading voice in early childhood education, specializing in the integration of computational thinking (CT) and programmable robotics into developmental learning. Her research fundamentally explores how young children acquire foundational cognitive skills through technology, with a particular focus on the interplay between CT, sequencing ability, and self-regulation. Gao’s most impactful work, a 2022 study with 113 citations, provides critical empirical evidence by directly comparing robot programming to traditional block play, demonstrating that robotics can uniquely enhance CT and self-regulation in early learners. This landmark study challenges conventional ECE paradigms and has shaped curriculum design worldwide. Her subsequent 2023 cross-sectional research further solidifies the theoretical underpinnings of her findings, showing that sequencing and self-regulation are not just outcomes but prerequisites for CT development. By bridging computer science and developmental psychology, Gao has established herself as a pivotal figure in redefining how we prepare the youngest students for a digital world, offering clear, evidence-based pathways for integrating technology into early learning environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
128
Total Citations
64
Avg Citations/Paper
🏆 Most Cited Paper
Robot programming versus block play in early childhood education: Effects on computational thinking, sequencing ability, and self‐regulation
113 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Capital Normal University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago