Ming-Hsiu Michelle Tsai

Feng Chia University

Papers

4

Total Citations

18

H-Index

3

About

Ming-Hsiu Michelle Tsai is a pioneering researcher at the intersection of educational technology and second-language acquisition, with a focused expertise in leveraging robotics to enhance English language learning. Her major contributions center on developing and empirically testing robot-assisted systems that improve oral proficiency and learning motivation among Taiwanese EFL students. Through innovative platforms like the ETAR (English Teaching Assistant Robot) and METMRS (Modular Multi-Robot System), she has demonstrated how interactive, robot-tutoring approaches can significantly boost pronunciation accuracy and in-class engagement. Her most cited work, "Utilizing robot-tutoring approach in oral reading to improve Taiwanese EFL students’ English pronunciation" (2024, 6 citations), provides compelling evidence for the efficacy of human-robot interaction in adult language education—a notably underexplored area. With a growing body of work accumulating over 18 citations, Tsai’s research is shaping the future of personalized, technology-driven language instruction. Her achievements include pioneering the integration of modular multi-robot systems in English classrooms, offering scalable solutions that bridge the gap between traditional pedagogy and cutting-edge AI. For students and researchers, Tsai’s work represents a vital blueprint for reimagining language learning through embodied, interactive technology.

Research Focus

Key Achievements

3
H-Index
4
Papers
18
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Utilizing robot-tutoring approach in oral reading to improve Taiwanese EFL students’ English pronunciation
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Feng Chia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago