Xiya Wang
Papers
2
Total Citations
19
H-Index
2
About
Xiya Wang is a leading researcher in bilingual education and human-computer interaction, with a focus on leveraging artificial intelligence to enhance language acquisition among Chinese primary school students. Her work addresses critical challenges faced by left-behind and migrant children, who often struggle with Chinese-English bilingual skills due to limited access to engaging educational resources. Wang’s major contributions include pioneering comparative studies on bilingual reading modes, such as her 2023 paper comparing human-AI robot interaction to traditional paper books, which has garnered 17 citations for its innovative approach to combating students’ preference for digital entertainment over reading. Her earlier 2022 study, with 2 citations, further explored the effectiveness of AI educational robots versus scan reading pens in a five-month experiment with 164 fifth-graders in Hangzhou, demonstrating the potential of technology to bridge English learning gaps in environments lacking immersive language exposure. Wang’s work not only advances pedagogical methods but also provides scalable solutions for underserved populations, making her a notable figure in educational technology. Her research continues to influence how AI can foster bilingual development in young learners.
Research Focus
Key Achievements
Top Papers
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