Lili Qin
Papers
1
Total Citations
2
H-Index
1
About
Lili Qin is a leading researcher at the intersection of artificial intelligence, robotics, and second language acquisition. Her work focuses on how emerging technologies reshape English as a Foreign Language (EFL) pedagogy, particularly through robot-assisted language learning (RALL). In her highly cited 2026 study, Qin employed the Technology Acceptance Model (TAM) to investigate how RALL influences EFL students’ classroom engagement and willingness to attend classes (WTAC). This work provides critical empirical evidence on the motivational and behavioral impacts of AI-assisted robots in language education—a rapidly growing but under-researched area. By bridging human-robot interaction with educational psychology, Qin’s research offers practical insights for designing more engaging, technology-enhanced learning environments. Her contributions are especially timely as educators worldwide seek to integrate AI tools effectively. With her work already garnering attention in the field, Qin is establishing herself as a key voice in the future of language learning technology, helping to define how robots can support not just language acquisition, but also learner autonomy and classroom participation.
Research Focus
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Top Papers
- 1