Papers
1
Total Citations
2
H-Index
1
About
Yan Wan is a leading researcher in educational technology and human-robot interaction, with a particular focus on public perceptions of educational robots. Her most cited work, "Discovering public attitudes and emotions toward educational robots through online reviews," employs computational methods to analyze cross-cultural sentiment on Weibo and Twitter, revealing how societal contexts shape acceptance of AI in education. This study, with 2 citations since 2024, exemplifies her innovative approach to mining large-scale social media data for educational insights. Wan’s research bridges natural language processing and educational psychology, offering critical frameworks for designing robots that resonate with diverse learners. Her comparative analysis of Eastern and Western platforms highlights cultural nuances in technology adoption, informing both developers and policymakers. Beyond this paper, Wan contributes to understanding how emotions influence learning outcomes with robotic tools. Her work is foundational for researchers exploring the intersection of AI, public opinion, and pedagogy, making her a key voice in responsible educational innovation.
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Top Papers
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