Papers
7
Total Citations
205
H-Index
6
About
Hui-Chin Yeh is a leading researcher at the intersection of educational technology and language learning, with a particular focus on robot-assisted language learning (RALL), multimodal instruction, and artificial intelligence in education. Her scholarship has significantly advanced understanding of how social robots and IoT-integrated systems can transform English as a Foreign Language (EFL) instruction, especially for young learners. Yeh's most influential work includes a widely cited systematic review on oral interactions in RALL (2022, 55 citations), which critically examined how instructional design shapes learning outcomes through human-robot interaction. Her research on multimodal cues supported by educational robots and IoT-based 3D books (2021, 44 citations) demonstrated innovative approaches to vocabulary acquisition, while her exploration of robotic process automation as an intelligent tutoring system (2023, 42 citations) raised important questions about AI's potential to approximate human teaching effectiveness. Beyond classroom applications, Yeh has championed teacher professional development through her TPACK-based framework for robot and IoT competencies. Her investigations into pronunciation improvement, audience awareness in writing, and willingness to communicate collectively reveal a researcher committed to bridging technological innovation with meaningful pedagogical outcomes. With nearly 200 citations across recent publications, Yeh's work is shaping the future of intelligent, embodied language education.
Research Focus
Key Achievements
Top Papers
- 1A Systematic Review on Oral Interactions in Robot-Assisted Language Learning55 citations · 2022
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