Wenjie Zeng

Papers

Total Citations

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About

Wenjie Zeng is a leading researcher in educational technology and human-robot interaction, with a particular focus on the integration of artificial intelligence in learning environments. His most cited work, "An integrated model for predicting pupils’ acceptance of artificially intelligent robots as teachers" (2023, 35 citations), represents a significant contribution to understanding how young learners perceive and adopt AI-driven educational tools. By developing a comprehensive predictive model, Zeng has provided educators and technologists with crucial insights into the factors that influence students' willingness to engage with robot teachers—such as perceived usefulness, ease of use, and social influence. This research bridges the gap between theoretical acceptance models and practical classroom implementation, offering a framework that can guide the design of more effective and student-friendly AI tutors. Zeng's work is particularly notable for its focus on primary school pupils, an often-overlooked demographic in technology acceptance studies. His findings have implications for the future of personalized learning, helping to shape how AI can be deployed to support rather than replace human educators. With growing interest in AI-assisted education, Zeng's research continues to inform both academic discourse and real-world educational policy.