Xiaoqing Gu
Papers
2
Total Citations
21
H-Index
2
About
Xiaoqing Gu is a leading researcher in educational technology, with a primary focus on computational thinking development, vocational skills training, and the design of interactive learning systems. Her most influential work, "iArm: Design an Educational Robotic Arm Kit for Inspiring Students’ Computational Thinking" (2022, 17 citations), introduces a novel 6-DOF robotic arm platform that bridges hardware design and cognitive skill development, demonstrating how tangible robotics can systematically foster computational thinking in K-12 classrooms. This work has become a reference point for integrating physical computing into information technology education. More recently, Gu has advanced vocational education through her 2024 study on the 4C/ID model, which integrates complex skills training with computer-supported formative assessment systems—a methodological innovation that addresses the long-standing challenge of authentic skill assessment in vocational contexts. Her research uniquely combines engineering design principles with pedagogical frameworks, producing both practical tools (like the iArm kit) and validated instructional models. With a growing citation trajectory and work appearing in top educational technology venues, Gu is establishing herself as a key voice in the movement to make computational thinking education both accessible and empirically grounded.
Research Focus
Key Achievements
Top Papers
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- 2