Zineng Zhou

Papers

Total Citations

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About

Dr. Zineng Zhou is a leading researcher at the intersection of educational technology, artificial intelligence, and human-robot interaction. Their work focuses on understanding how students perceive and accept AI-driven tools in learning environments, with a particular emphasis on humanoid robots. Dr. Zhou's most cited study, "Impact of perceived ease of use and perceived usefulness of humanoid robots on students' intention to use" (2025, 18 citations), extends the Technology Acceptance Model (TAM) to explore the psychological and behavioral factors driving student engagement with robotic educational aids. This research provides critical insights into designing more intuitive and effective AI-powered learning tools, bridging the gap between technological capability and user adoption. By examining how perceived ease of use and usefulness influence students' intentions, Dr. Zhou's work has practical implications for educators, developers, and policymakers seeking to integrate robotics into classrooms. With a growing citation record, Dr. Zhou is establishing themselves as a key voice in the evolving dialogue on AI in education, contributing foundational knowledge that will shape future pedagogical innovations and human-robot collaboration in academic settings.