Baichang Zhong
Papers
16
Total Citations
696
H-Index
11
About
Baichang Zhong is a prominent education technology researcher whose work sits at the intersection of robotics education, STEM learning, and artificial intelligence pedagogy. Based primarily at the K-12 level, Zhong has made substantial contributions to understanding how robotics can serve as a vehicle for teaching mathematics, computational thinking, and problem-solving skills. His pair of systematic reviews published in 2018 — examining educational robotics in mathematics education and the teaching of robotics content knowledge in K-12 settings — have together accumulated over 340 citations, establishing him as a leading synthesizer of this emerging field. Zhong's empirical work is equally impressive, exploring innovative pedagogical approaches such as pair learning, reverse engineering pedagogy, and scaffold-supported troubleshooting to enhance student outcomes in robotics contexts. His development of IRobotQ3D, a 3D online simulation platform for K-12 robotics instruction, demonstrates a commitment to translating research into practical tools. More recently, Zhong has extended his expertise into AI education, conducting systematic reviews of game-based learning approaches in this domain. Across his body of work, Zhong has meaningfully advanced educators' understanding of how hands-on, technology-rich learning environments can develop critical thinking and collaborative skills in young learners.
Research Focus
Key Achievements
Top Papers
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- 2A systematic review on teaching and learning robotics content knowledge in K-12167 citations · 2018
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