Ailing Qiao
Papers
2
Total Citations
11
H-Index
2
About
Ailing Qiao’s research lies at the intersection of educational technology, computational thinking, and spatial reasoning, with a particular focus on how young learners develop these skills through programming environments. Her most-cited work, “The effect of PDCA cycle strategy on pupils’ tangible programming skills and reflective thinking” (2023, 8 citations), demonstrates her interest in structured pedagogical approaches—specifically, how iterative improvement cycles can enhance both technical programming abilities and higher-order reflective thinking in primary school students. In her more recent study, “Unravelling the Computational Thinking and Spatial Thinking Development: An Exploration of a Virtual Robot Programming Environment” (2025, 3 citations), Qiao breaks new ground by examining the micro-level developmental patterns of computational and spatial thinking, addressing a critical gap in understanding how these two cognitive domains interact during robot programming tasks. Her work is notable for its practical implications: by revealing the interconnected growth of CT and ST, she provides educators with evidence-based insights for designing more effective programming curricula. Though early in her career, Qiao’s focused contributions to tangible and virtual programming education are already shaping how researchers and teachers approach the cultivation of foundational thinking skills in digital learning environments.
Research Focus
Key Achievements
Top Papers
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