Yu‐Ju Lan
Papers
1
Total Citations
3
H-Index
1
About
Yu-Ju Lan is a leading researcher in technology-enhanced language learning, with a particular focus on integrating robotics and tangible objects into Chinese language education. Her work explores how multimodal learning systems can address the unique challenges of acquiring Chinese numeral-classifier-noun (NCN) phrases, a notoriously difficult aspect of the language for learners. In her most-cited study, she developed an innovative learning system combining a multimodal robot with IoT tangible objects, demonstrating how physical interaction and digital feedback can significantly improve learners’ comprehension and retention. This research, published in 2022 and already garnering attention, highlights her commitment to bridging human-computer interaction with second language acquisition. Lan’s contributions are notable for their practical, classroom-ready applications, offering scalable solutions for language teachers and learners. Her work stands at the intersection of educational technology, robotics, and linguistics, making her a key figure in advancing how emerging technologies can transform language learning.
Research Focus
Key Achievements
Top Papers
- 1