Chen-Yu Lin

Feng Chia University

Papers

2

Total Citations

9

H-Index

2

About

Chen-Yu Lin is a researcher at the intersection of educational technology and human-robot interaction, with a primary focus on leveraging social robots to enhance language learning. His key research areas include the design and implementation of interactive robotic systems for English education, particularly for oral training and in-class motivation. Lin’s major contributions center on the development of the ETAR (English Teaching Assistant Robot), which demonstrated significant positive effects on college freshmen’s in-class learning motivation, as evidenced by his most-cited work (5 citations). He further advanced this line of inquiry by creating an individual English oral training robot system, showcasing how personalized, robot-mediated practice can support language acquisition. While his citation counts are modest, Lin’s work is notable for its practical, applied nature—bridging robotics and pedagogy in real classroom settings. His achievements include pioneering the integration of autonomous robots into freshman English curricula, offering a scalable model for technology-enhanced language instruction. For students and researchers interested in educational robotics, Lin’s studies provide foundational insights into how robots can serve as motivational and instructional tools in higher education.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
ETAR: An English Teaching Assistant Robot and Its Effects on College Freshmen’s In-Class Learning Motivation
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Feng Chia University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago