Wei‐Lun Chang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Wei-Lun Chang is an innovative researcher at the intersection of educational technology, human-robot interaction, and second language acquisition. Her work focuses on designing multimodal learning systems that leverage robotics and tangible objects to address challenging pedagogical problems, particularly in Chinese language education. In her most cited study, she developed a pioneering Robot and Tangible (R&T) learning system that integrates IoT-enabled physical objects with interactive robots to help learners master Chinese Numeral-Classifier-Noun (NCN) phrases—a notoriously difficult aspect of the language. This research demonstrates how embodied, hands-on interaction can enhance language learning outcomes by engaging multiple sensory modalities. Although early in her career, Dr. Chang’s work has already garnered attention for its creative fusion of cutting-edge technology with evidence-based language teaching methods. Her contributions are particularly notable for bridging the gap between abstract linguistic concepts and concrete, interactive learning experiences, offering a promising pathway for future educational technology design.
Research Focus
Key Achievements
Top Papers
- 1