Yiwei Bao
Papers
2
Total Citations
13
H-Index
2
About
Yiwei Bao is a rising scholar in K-12 robotics education, whose work illuminates how young learners conceptualize technology. Her primary research focuses on students' perceptions of robots, employing innovative draw-a-picture methodologies to capture authentic, child-centered perspectives. In her landmark 2023 study, "Robot illustrated: Exploring elementary students’ perceptions of robots via the draw-a-robot test," Bao analyzed drawings from 1,069 Chinese elementary students—a substantial sample that has already garnered 8 citations. This work, alongside her earlier 2022 study with 100 sixth graders (5 citations), established a pioneering coding framework with 42 subcategories to systematically decode children's visual representations of robots. By shifting the lens from adult-designed curricula to student-driven imagery, Bao provides educators with critical insights into how stereotypes, media influences, and cultural contexts shape early robotics understanding. Her methodological innovation—adapting the classic draw-a-scientist test for robotics—offers a replicable tool for international researchers. As robotics education expands globally, Bao’s foundational work on learner perceptions serves as an essential compass for designing more inclusive and effective K-12 STEM interventions.
Research Focus
Key Achievements
Top Papers
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