Papers

1

Total Citations

24

H-Index

1

About

Wen-Min Hsieh is a leading researcher in technology-enhanced language learning, with a primary focus on integrating social robots and tangible objects into English as a Foreign Language (EFL) education. Their most cited work, "Impact of a robot and tangible object (R&T) integrated learning system on elementary EFL learners’ English pronunciation and willingness to communicate" (2023, 24 citations), addresses a critical gap in the field by examining how interactive robotic systems can enhance young learners' pronunciation skills and their willingness to communicate. Hsieh's major contribution lies in developing and empirically validating the R&T learning system, demonstrating that tangible, robot-assisted interactions significantly improve EFL outcomes for elementary students. This research is notable for its practical implications, offering educators a novel, engaging approach to language instruction that leverages physical interaction to reduce learner anxiety and boost communicative confidence. With a growing citation impact, Hsieh's work is shaping the future of human-robot interaction in educational contexts, bridging the gap between technology and pedagogy to create more effective, student-centered language learning environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
24
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Impact of a robot and tangible object (R&T) integrated learning system on elementary EFL learners’ English pronunciation and willingness to communicate
24 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National Yunlin University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago