Papers
3
Total Citations
450
H-Index
3
About
Shiyan Jiang is an educational researcher whose work centers on computational thinking (CT), elementary education, and robotics-based learning environments. Her most influential contribution lies in bridging computational thinking between everyday reasoning and formal programming contexts, recognizing that CT is not confined to coding alone but extends to how students approach problems in daily life. Her highly cited 2017 paper, which has garnered over 400 citations, pioneered assessment frameworks for evaluating elementary students' computational thinking across both everyday and robotics programming contexts — a significant methodological advance in the field. Building on this foundation, Jiang developed humanoid robotics curricula paired with computerized assessment instruments, providing educators with practical, research-backed tools for CT integration in K-12 classrooms. Her 2018 work further examined how young learners interpret and navigate multiple representations within robotics programming environments, deepening understanding of how students make sense of complex visual and symbolic information. Collectively, Jiang's research has meaningfully shaped how educators and researchers conceptualize, teach, and measure computational thinking at the elementary level, making her a notable voice in STEM education scholarship.
Research Focus
Key Achievements
Top Papers
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