Shiying Qiu

Papers

Total Citations

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About

Shiying Qiu is a forward-thinking researcher in educational technology and human-computer interaction, with a particular focus on the integration of artificial intelligence in learning environments. Her most cited work, "An integrated model for predicting pupils’ acceptance of artificially intelligent robots as teachers" (2023), has garnered 35 citations, reflecting its timely relevance in the rapidly evolving field of AI in education. In this study, Qiu developed a comprehensive framework that combines psychological, technological, and pedagogical factors to understand how young learners perceive and embrace AI-powered teaching assistants. Her contribution lies in bridging the gap between theoretical acceptance models and practical classroom implementation, offering educators and policymakers actionable insights for designing AI tools that resonate with students. By examining variables such as trust, perceived usefulness, and social influence, Qiu’s work helps demystify the adoption process of educational robots, paving the way for more effective and child-friendly AI integration. Her research is particularly notable for its interdisciplinary approach, drawing from cognitive science, education, and robotics, and it stands as a key reference for scholars exploring the future of automated pedagogy.