Liyan Song
Papers
2
Total Citations
9
H-Index
2
About
Liyan Song is an emerging education researcher whose work sits at the intersection of robotics education, computational thinking, and equity in STEM learning. Song's scholarship focuses on designing and implementing robotics programs that not only build students' technical and computational skills but also actively work to engage underrepresented populations in STEM experiences. Their most-cited work, "Developing a Robotics Program to Support Students' Computational Thinking: a Design-based Study" (2023, 6 citations), demonstrates a rigorous design-based approach to understanding how robotics instruction can meaningfully develop computational thinking competencies in learners. Complementing this, Song's 2024 publication on navigating ethical challenges in robotics education (3 citations) breaks important ground by candidly examining the real-world complexities educators face, including uneven participant engagement and interpersonal dynamics, when working with underrepresented student groups. This ethical transparency reflects a researcher deeply committed to both methodological honesty and social justice in education. While Song's citation record is still developing, their design-based and equity-centered framework positions them as a thoughtful contributor to the growing field of K-12 robotics and STEM education research.
Research Focus
Key Achievements
Top Papers
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- 2