Fuquan Huang

Papers

Total Citations

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About

Fuquan Huang is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on human-robot interaction and technology acceptance in learning environments. His most cited work, "An integrated model for predicting pupils’ acceptance of artificially intelligent robots as teachers" (2023), has garnered 35 citations and represents a significant contribution to understanding how young learners perceive and adopt AI-driven educational tools. By synthesizing established technology acceptance theories with novel factors specific to child-robot interaction, Huang developed a predictive framework that helps educators and technologists design more effective, student-centered AI teaching assistants. This research not only advances theoretical models in educational technology but also provides practical insights for deploying robots in classrooms. Huang’s work is particularly notable for its focus on primary school pupils—a demographic often overlooked in studies of AI adoption—and for bridging the gap between technical development and pedagogical application. His findings have implications for curriculum design, teacher training, and the ethical deployment of AI in education, positioning him as a key voice in the ongoing dialogue about the future of learning in an increasingly automated world.