Jiahong Su

University of Hong Kong

Papers

14

Total Citations

1,034

H-Index

13

About

Jiahong Su is a prominent education researcher whose work sits at the intersection of artificial intelligence, early childhood education, and STEM learning. Based primarily in Hong Kong, Su has established herself as a leading voice in understanding how AI tools, robotics, and computational thinking curricula can be meaningfully integrated into education for young children aged three to eight. Her highly cited scoping review on AI in early childhood education (296 citations) and her foundational work on AI literacy curriculum design (227 citations) have become essential references for researchers and educators worldwide navigating this rapidly evolving field. Su's research is particularly notable for its attention to equity — examining how gender and socioeconomic status shape children's access to and engagement with robotics — and for extending AI literacy conversations into contexts often overlooked, including minority communities and preschool settings in Hong Kong. Her intervention studies demonstrate measurable gains in children's computational thinking, sequencing, and self-regulation skills, offering practical evidence for curriculum developers. With over 900 cumulative citations across her most influential works, Su's scholarship is shaping how the next generation of children is prepared for an AI-driven world.

Research Focus

Key Achievements

13
H-Index
14
Papers
1,034
Total Citations
74
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence in early childhood education: A scoping review
296 citations · 2022
📈 Most Prolific Year: 2022 (6 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Hong Kong

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago