Hui Shan Chou
Papers
1
Total Citations
19
H-Index
1
About
Hui Shan Chou is an emerging scholar whose research focuses on the intersection of educational technology and human-robot interaction, particularly within higher education settings. Her most notable contribution is a systematic mixed-studies review that rigorously examines the barriers and facilitators of robot-assisted education, synthesizing evidence to guide the integration of social robots into academic environments. This work, published in 2023, has already garnered 19 citations, signaling its timely relevance as institutions explore innovative pedagogical tools. Chou’s analysis identifies critical factors such as technical reliability, student engagement, and educator training, offering a foundational framework for future implementations. Beyond this study, her research interests extend to inclusive design and the ethical implications of automation in learning. As a researcher dedicated to bridging technology and pedagogy, Chou’s work is essential reading for educators, developers, and policymakers seeking to harness robotics for enhanced educational outcomes. Her systematic approach and clear synthesis of complex literature mark her as a thoughtful contributor to this rapidly evolving field.
Research Focus
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Top Papers
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