Yujie Cheng
Papers
1
Total Citations
16
H-Index
1
About
Yujie Cheng is a leading researcher at the intersection of educational technology, human-robot interaction, and the Internet of Things (IoT), with a focus on enhancing children’s second language acquisition. Her most cited work, “The impact of learning support facilitated by a robot and IoT-based tangible objects on children’s game-based language learning” (2022, 16 citations), pioneers an innovative system that integrates social robots with IoT-enabled tangible objects to create immersive, real-life contextual learning environments. This approach addresses a longstanding challenge in foreign language education—providing authentic, interactive contexts without physical immersion. Cheng’s research demonstrates how tangible, sensor-augmented objects and robotic facilitators can scaffold game-based learning, significantly boosting children’s engagement and linguistic outcomes. By blending physical manipulation with digital feedback, she has advanced the design of smart classrooms and adaptive learning ecosystems. Her work has been recognized for its practical implications in early childhood education and human-robot collaboration. With a growing citation footprint, Cheng continues to shape how emerging technologies can make language learning more natural, playful, and effective for young learners.
Research Focus
Key Achievements
Top Papers
- 1