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About
Ziqing Peng is a rising scholar at the intersection of human-robot interaction, educational technology, and computational social science. Their research focuses on understanding how the public perceives and emotionally engages with emerging technologies, particularly educational robots, by analyzing large-scale online discourse. In their most-cited work, "Discovering public attitudes and emotions toward educational robots through online reviews: a comparative analysis of Weibo and Twitter" (2024), Peng pioneered a cross-cultural, data-driven approach to mine public sentiment from social media platforms. By comparing Chinese (Weibo) and Western (Twitter) audiences, they revealed nuanced cultural differences in how people express hopes and concerns about robots in classrooms—offering actionable insights for designers, educators, and policymakers. This work has already garnered early citations, signaling its growing influence in the field. Peng’s methodological contributions—combining natural language processing with sentiment analysis—provide a scalable framework for studying public opinion on AI-driven education. As a researcher bridging technology and society, Peng is helping to shape a more human-centered understanding of how robots can be integrated into learning environments worldwide.
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